diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/config.yaml b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..14c5e9ad680bb2e7885b5e9faaa2b4d4865b7003 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/config.yaml @@ -0,0 +1,218 @@ +__config_file__: train/configs/train/revalexo_cross_population/evi_mae_fusion.yaml +dataloaders: + test: + batch_size: 8 + num_workers: 8 + pin_memory: true + shuffle: false + train: + balancing_method: inverse + batch_size: 8 + num_workers: 8 + pin_memory: true + prefetch_factor: 2 + shuffle: true + use_balanced_sampler: true + validation: + batch_size: 8 + num_workers: 8 + pin_memory: true + shuffle: false +dataset: + config_path: train/configs/datasets/revalexodataset.yaml + modalities: + raw_imu: + column_patterns: + - acc_Pelvis_* + - acc_*_Upper_Leg_* + - acc_*_Lower_Leg_* + - acc_*_Foot_* + name: RevalExoDataset + prediction_horizons: + - 0 + - 0.1 + - 0.2 + - 0.3 + - 0.5 + - 1 + sample_multiplier: + test: 10 + train: 10 + validation: 10 + splits: + test_subjects: + - Subject05 + - Subject06 + - Subject07 + - Subject08 + - Subject17 + - Subject26 + train_subjects: + - Subject01 + - Subject02 + - Subject03 + - Subject11 + - Subject20 + - Subject24 + - Subject29 + val_split_ratio: 0.2 + window_size: 2.0 +logging: + log_dir: train/outputs/train/revalexo_cross_population/evi_mae_fusion + log_frequency: 50 + tensorboard: true +metrics: +- name: Accuracy +- name: F1Score + params: + average: macro + include_precision_recall: true +- name: ClassificationReport + params: + include_csv: true + output_format: dict + zero_division: 0 +- name: ConfusionMatrix + params: + include_csv: true + normalize: false +modalities: + raw_imu: + eval_transforms: + - name: EVI_MAE_IMUTransform + params: + expected_signal_length: 250 + hop_length: 1 + n_fft: 256 + norm_mean: -1.223483 + norm_std: 7.991705 + sampling_rate: 60 + target_height: 128 + target_length: 320 + use_revalexo_mapping: true + win_length: 24 + train_transforms: + - name: EVI_MAE_IMUTransform + params: + expected_signal_length: 250 + hop_length: 1 + n_fft: 256 + norm_mean: -1.223483 + norm_std: 7.991705 + sampling_rate: 60 + target_height: 128 + target_length: 320 + use_revalexo_mapping: true + win_length: 24 + video: + eval_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeVideo + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ShortSideScale + params: + size: 256 + - name: CenterCropVideo + params: + crop_size: + - 224 + - 224 + frames_to_sample: 16 + train_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeVideo + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ShortSideScale + params: + size: 256 + - name: RandomResizedCropVideo + params: + ratio: + - 0.75 + - 1.33 + scale: + - 0.8 + - 1.0 + size: + - 224 + - 224 + - name: RandomHorizontalFlipVideo + params: + p: 0.5 + use_frames: false +models: + fusion_model: + name: EVI_MAE_Fusion + params: + dropout: 0.5 + feature_dim: 768 + freeze_encoders: false + hidden_dim: 512 + imu_model_dict: + channel_num: 12 + enable_graph: true + encoder_depth: 11 + encoder_embed_dim: 768 + encoder_num_heads: 12 + imu_graph_net: gin + patch_size: 16 + plot_height: 128 + target_length: 320 + pretrained_checkpoint: pretrained/EVI-MAE/best_evi_model.pth + shared_classifier_layers: true + video_model_dict: + encoder_depth: 12 + encoder_embed_dim: 384 + encoder_num_heads: 6 + img_size: 224 + mlp_ratio: 4 + patch_size: 16 + qkv_bias: true +task: + loss: + name: CrossEntropyLoss + params: + label_smoothing: 0.1 + type: recognition +training: + checkpointing: + enabled: true + frequency: 1 + horizon_index: 0 + metric: classificationreport_weighted_f1-score + mode: max + save_best_only: false + early_stopping: + enabled: true + min_delta: 0.001 + patience: 15 + epochs: 50 + lr_scheduler: + name: CosineAnnealingLR + params: + eta_min: 1.0e-07 + optimizer: + name: AdamW + params: + lr: 5.0e-05 + weight_decay: 0.05 + seed: 42 + val_every: 1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/history.log b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/history.log new file mode 100644 index 0000000000000000000000000000000000000000..7b8313d0b049501336a214469237772c3a4a47d2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/history.log @@ -0,0 +1,7451 @@ +2026-04-09 09:13:47,957 - INFO - Starting new training run: 20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion +2026-04-09 09:13:47,958 - INFO - Logs will be saved to: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion +2026-04-09 09:13:47,958 - INFO - TensorBoard logs will be saved to: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion +2026-04-09 09:13:47,965 - INFO - Configuration saved to: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/config.yaml +2026-04-09 09:13:49,495 - INFO - Loaded 10960 training samples +2026-04-09 09:13:49,495 - INFO - Loaded 8800 validation samples +2026-04-09 09:13:49,495 - INFO - Loaded 28992 test samples +2026-04-09 09:13:49,495 - INFO - Random seed: 42 +2026-04-09 09:14:02,937 - INFO - Epoch 1/50, Learning Rate: 0.000050 +2026-04-09 09:35:28,255 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 09:35:28,320 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 09:35:28,376 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 09:35:28,430 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 09:35:28,485 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 09:35:28,542 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 09:35:30,521 - INFO - Epoch 1/50: +2026-04-09 09:35:30,521 - INFO - Train: loss=0.9930, accuracy_overall=0.7972 +2026-04-09 09:35:30,521 - INFO - Horizon 0.0s: accuracy=0.8326 +2026-04-09 09:35:30,521 - INFO - Horizon 0.1s: accuracy=0.8237 +2026-04-09 09:35:30,521 - INFO - Horizon 0.2s: accuracy=0.8151 +2026-04-09 09:35:30,521 - INFO - Horizon 0.3s: accuracy=0.8031 +2026-04-09 09:35:30,521 - INFO - Horizon 0.5s: accuracy=0.7759 +2026-04-09 09:35:30,521 - INFO - Horizon 1.0s: accuracy=0.7331 +2026-04-09 09:35:30,521 - INFO - Val Horizon 0.0s - Overall: loss=0.9176, accuracy=0.8205 +2026-04-09 09:35:30,521 - INFO - Horizon 0.0s - Overall F1: 0.8413, Precision: 0.8198, Recall: 0.8808 +2026-04-09 09:35:30,521 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 09:35:30,521 - INFO - Macro F1: 0.8413 +2026-04-09 09:35:30,522 - INFO - Weighted F1: 0.8209 +2026-04-09 09:35:30,522 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8774 +2026-04-09 09:35:30,522 - INFO - Horizon 0.0s - Steady F1: 0.8886, Precision: 0.8672, Recall: 0.9216 +2026-04-09 09:35:30,522 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 09:35:30,522 - INFO - Macro F1: 0.8886 +2026-04-09 09:35:30,522 - INFO - Weighted F1: 0.8773 +2026-04-09 09:35:30,522 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5578 +2026-04-09 09:35:30,522 - INFO - Horizon 0.0s - Transition F1: 0.5836, Precision: 0.5863, Recall: 0.6783 +2026-04-09 09:35:30,522 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 09:35:30,522 - INFO - Macro F1: 0.5836 +2026-04-09 09:35:30,522 - INFO - Weighted F1: 0.5175 +2026-04-09 09:35:30,522 - INFO - +2026-04-09 09:35:30,522 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8200 +2026-04-09 09:35:30,522 - INFO - Horizon 0.1s - Overall F1: 0.8382, Precision: 0.8239, Recall: 0.8683 +2026-04-09 09:35:30,522 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 09:35:30,522 - INFO - Macro F1: 0.8382 +2026-04-09 09:35:30,522 - INFO - Weighted F1: 0.8196 +2026-04-09 09:35:30,522 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8782 +2026-04-09 09:35:30,522 - INFO - Horizon 0.1s - Steady F1: 0.8903, Precision: 0.8750, Recall: 0.9162 +2026-04-09 09:35:30,522 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 09:35:30,522 - INFO - Macro F1: 0.8903 +2026-04-09 09:35:30,522 - INFO - Weighted F1: 0.8777 +2026-04-09 09:35:30,522 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5555 +2026-04-09 09:35:30,523 - INFO - Horizon 0.1s - Transition F1: 0.5712, Precision: 0.5734, Recall: 0.6592 +2026-04-09 09:35:30,523 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 09:35:30,523 - INFO - Macro F1: 0.5712 +2026-04-09 09:35:30,523 - INFO - Weighted F1: 0.5290 +2026-04-09 09:35:30,523 - INFO - +2026-04-09 09:35:30,523 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8244 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Overall F1: 0.8388, Precision: 0.8319, Recall: 0.8579 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 09:35:30,523 - INFO - Macro F1: 0.8388 +2026-04-09 09:35:30,523 - INFO - Weighted F1: 0.8234 +2026-04-09 09:35:30,523 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8803 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Steady F1: 0.8910, Precision: 0.8802, Recall: 0.9116 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 09:35:30,523 - INFO - Macro F1: 0.8910 +2026-04-09 09:35:30,523 - INFO - Weighted F1: 0.8800 +2026-04-09 09:35:30,523 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5637 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Transition F1: 0.5754, Precision: 0.5924, Recall: 0.6391 +2026-04-09 09:35:30,523 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 09:35:30,523 - INFO - Macro F1: 0.5754 +2026-04-09 09:35:30,523 - INFO - Weighted F1: 0.5531 +2026-04-09 09:35:30,523 - INFO - +2026-04-09 09:35:30,523 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8211 +2026-04-09 09:35:30,523 - INFO - Horizon 0.3s - Overall F1: 0.8324, Precision: 0.8287, Recall: 0.8475 +2026-04-09 09:35:30,523 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 09:35:30,523 - INFO - Macro F1: 0.8324 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.8200 +2026-04-09 09:35:30,524 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8806 +2026-04-09 09:35:30,524 - INFO - Horizon 0.3s - Steady F1: 0.8856, Precision: 0.8779, Recall: 0.9021 +2026-04-09 09:35:30,524 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 09:35:30,524 - INFO - Macro F1: 0.8856 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.8802 +2026-04-09 09:35:30,524 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5504 +2026-04-09 09:35:30,524 - INFO - Horizon 0.3s - Transition F1: 0.5638, Precision: 0.5938, Recall: 0.6179 +2026-04-09 09:35:30,524 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 09:35:30,524 - INFO - Macro F1: 0.5638 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.5400 +2026-04-09 09:35:30,524 - INFO - +2026-04-09 09:35:30,524 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8080 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Overall F1: 0.8156, Precision: 0.8285, Recall: 0.8184 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 09:35:30,524 - INFO - Macro F1: 0.8156 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.8066 +2026-04-09 09:35:30,524 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8686 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Steady F1: 0.8671, Precision: 0.8711, Recall: 0.8751 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 09:35:30,524 - INFO - Macro F1: 0.8671 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.8679 +2026-04-09 09:35:30,524 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5266 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Transition F1: 0.4904, Precision: 0.5760, Recall: 0.5103 +2026-04-09 09:35:30,524 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 09:35:30,524 - INFO - Macro F1: 0.4904 +2026-04-09 09:35:30,524 - INFO - Weighted F1: 0.5179 +2026-04-09 09:35:30,525 - INFO - +2026-04-09 09:35:30,525 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7849 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Overall F1: 0.7947, Precision: 0.8140, Recall: 0.7891 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 09:35:30,525 - INFO - Macro F1: 0.7947 +2026-04-09 09:35:30,525 - INFO - Weighted F1: 0.7870 +2026-04-09 09:35:30,525 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8505 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Steady F1: 0.8459, Precision: 0.8495, Recall: 0.8511 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 09:35:30,525 - INFO - Macro F1: 0.8459 +2026-04-09 09:35:30,525 - INFO - Weighted F1: 0.8520 +2026-04-09 09:35:30,525 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4750 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Transition F1: 0.4337, Precision: 0.5648, Recall: 0.4345 +2026-04-09 09:35:30,525 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 09:35:30,525 - INFO - Macro F1: 0.4337 +2026-04-09 09:35:30,525 - INFO - Weighted F1: 0.4557 +2026-04-09 09:35:31,394 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_1.pt +2026-04-09 09:35:31,397 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_1.csv +2026-04-09 09:35:31,398 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 09:35:31,398 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,399 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,400 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 09:35:31,400 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,401 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,402 - INFO - Saved best transition 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overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,405 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,406 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 09:35:31,406 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,407 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,408 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 09:35:31,408 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 09:35:31,409 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_1.csv +2026-04-09 09:35:31,410 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 09:35:31,410 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,411 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,411 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 09:35:31,412 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,413 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,413 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 09:35:31,414 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 09:35:31,415 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_1.csv +2026-04-09 09:35:31,415 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 09:35:31,416 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,416 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,417 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 09:35:31,418 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,418 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,419 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 09:35:31,419 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 09:35:31,420 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_1.csv +2026-04-09 09:35:31,421 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 09:35:31,421 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,422 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,423 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 09:35:31,423 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,424 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,425 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 09:35:31,425 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 09:35:31,426 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_1.csv +2026-04-09 09:35:31,427 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 09:35:31,427 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 09:35:31,428 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_1.csv +2026-04-09 09:35:31,429 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 09:35:31,429 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 09:35:31,430 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_1.csv +2026-04-09 09:35:31,430 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 09:35:31,431 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 09:35:32,278 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 09:35:32,419 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 09:35:32,421 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 09:35:32,422 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 09:35:32,423 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 09:35:32,424 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 09:35:32,425 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 09:35:32,426 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 09:35:32,427 - INFO - Epoch 2/50, Learning Rate: 0.000050 +2026-04-09 09:57:28,289 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 09:57:28,352 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 09:57:28,406 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 09:57:28,461 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 09:57:28,516 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 09:57:28,571 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 09:57:30,355 - INFO - Epoch 2/50: +2026-04-09 09:57:30,355 - INFO - Train: loss=0.7830, accuracy_overall=0.8885 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s: accuracy=0.9034 +2026-04-09 09:57:30,356 - INFO - Horizon 0.1s: accuracy=0.9118 +2026-04-09 09:57:30,356 - INFO - Horizon 0.2s: accuracy=0.9077 +2026-04-09 09:57:30,356 - INFO - Horizon 0.3s: accuracy=0.9023 +2026-04-09 09:57:30,356 - INFO - Horizon 0.5s: accuracy=0.8768 +2026-04-09 09:57:30,356 - INFO - Horizon 1.0s: accuracy=0.8292 +2026-04-09 09:57:30,356 - INFO - Val Horizon 0.0s - Overall: loss=0.8626, accuracy=0.8499 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Overall F1: 0.8665, Precision: 0.8604, Recall: 0.8804 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 09:57:30,356 - INFO - Macro F1: 0.8665 +2026-04-09 09:57:30,356 - INFO - Weighted F1: 0.8505 +2026-04-09 09:57:30,356 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9024 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Steady F1: 0.9190, Precision: 0.9060, Recall: 0.9376 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 09:57:30,356 - INFO - Macro F1: 0.9190 +2026-04-09 09:57:30,356 - INFO - Weighted F1: 0.9030 +2026-04-09 09:57:30,356 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6075 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Transition F1: 0.5911, Precision: 0.6190, Recall: 0.6097 +2026-04-09 09:57:30,356 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 09:57:30,356 - INFO - Macro F1: 0.5911 +2026-04-09 09:57:30,356 - INFO - Weighted F1: 0.5985 +2026-04-09 09:57:30,356 - INFO - +2026-04-09 09:57:30,357 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8539 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Overall F1: 0.8688, Precision: 0.8627, Recall: 0.8842 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 09:57:30,357 - INFO - Macro F1: 0.8688 +2026-04-09 09:57:30,357 - INFO - Weighted F1: 0.8548 +2026-04-09 09:57:30,357 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9068 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Steady F1: 0.9218, Precision: 0.9095, Recall: 0.9402 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 09:57:30,357 - INFO - Macro F1: 0.9218 +2026-04-09 09:57:30,357 - INFO - Weighted F1: 0.9076 +2026-04-09 09:57:30,357 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6129 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Transition F1: 0.6068, Precision: 0.6371, Recall: 0.6337 +2026-04-09 09:57:30,357 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 09:57:30,357 - INFO - Macro F1: 0.6068 +2026-04-09 09:57:30,357 - INFO - Weighted F1: 0.5985 +2026-04-09 09:57:30,357 - INFO - +2026-04-09 09:57:30,357 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8523 +2026-04-09 09:57:30,357 - INFO - Horizon 0.2s - Overall F1: 0.8662, Precision: 0.8676, Recall: 0.8747 +2026-04-09 09:57:30,357 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 09:57:30,357 - INFO - Macro F1: 0.8662 +2026-04-09 09:57:30,357 - INFO - Weighted F1: 0.8531 +2026-04-09 09:57:30,357 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9052 +2026-04-09 09:57:30,357 - INFO - Horizon 0.2s - Steady F1: 0.9197, Precision: 0.9100, Recall: 0.9362 +2026-04-09 09:57:30,358 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 09:57:30,358 - INFO - Macro F1: 0.9197 +2026-04-09 09:57:30,358 - INFO - Weighted F1: 0.9061 +2026-04-09 09:57:30,358 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6055 +2026-04-09 09:57:30,358 - INFO - Horizon 0.2s - Transition F1: 0.5624, Precision: 0.6325, Recall: 0.5717 +2026-04-09 09:57:30,358 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 09:57:30,358 - INFO - Macro F1: 0.5624 +2026-04-09 09:57:30,358 - INFO - Weighted F1: 0.5903 +2026-04-09 09:57:30,358 - INFO - +2026-04-09 09:57:30,358 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8509 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Overall F1: 0.8630, Precision: 0.8662, Recall: 0.8693 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 09:57:30,358 - INFO - Macro F1: 0.8630 +2026-04-09 09:57:30,358 - INFO - Weighted F1: 0.8515 +2026-04-09 09:57:30,358 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9045 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Steady F1: 0.9161, Precision: 0.9091, Recall: 0.9298 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 09:57:30,358 - INFO - Macro F1: 0.9161 +2026-04-09 09:57:30,358 - INFO - Weighted F1: 0.9053 +2026-04-09 09:57:30,358 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6072 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Transition F1: 0.5776, Precision: 0.6341, Recall: 0.5874 +2026-04-09 09:57:30,358 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 09:57:30,358 - INFO - Macro F1: 0.5776 +2026-04-09 09:57:30,358 - INFO - Weighted F1: 0.5927 +2026-04-09 09:57:30,359 - INFO - +2026-04-09 09:57:30,359 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8436 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Overall F1: 0.8535, Precision: 0.8688, Recall: 0.8482 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 09:57:30,359 - INFO - Macro F1: 0.8535 +2026-04-09 09:57:30,359 - INFO - Weighted F1: 0.8442 +2026-04-09 09:57:30,359 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8990 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Steady F1: 0.9044, Precision: 0.9070, Recall: 0.9107 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 09:57:30,359 - INFO - Macro F1: 0.9044 +2026-04-09 09:57:30,359 - INFO - Weighted F1: 0.8998 +2026-04-09 09:57:30,359 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5868 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Transition F1: 0.5317, Precision: 0.6248, Recall: 0.5194 +2026-04-09 09:57:30,359 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 09:57:30,359 - INFO - Macro F1: 0.5317 +2026-04-09 09:57:30,359 - INFO - Weighted F1: 0.5756 +2026-04-09 09:57:30,359 - INFO - +2026-04-09 09:57:30,359 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8190 +2026-04-09 09:57:30,359 - INFO - Horizon 1.0s - Overall F1: 0.8325, Precision: 0.8466, Recall: 0.8219 +2026-04-09 09:57:30,359 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 09:57:30,359 - INFO - Macro F1: 0.8325 +2026-04-09 09:57:30,359 - INFO - Weighted F1: 0.8196 +2026-04-09 09:57:30,359 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8823 +2026-04-09 09:57:30,359 - INFO - Horizon 1.0s - Steady F1: 0.8809, Precision: 0.8901, Recall: 0.8772 +2026-04-09 09:57:30,359 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 09:57:30,360 - INFO - Macro F1: 0.8809 +2026-04-09 09:57:30,360 - INFO - Weighted F1: 0.8822 +2026-04-09 09:57:30,360 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5198 +2026-04-09 09:57:30,360 - INFO - Horizon 1.0s - Transition F1: 0.5029, Precision: 0.5851, Recall: 0.4765 +2026-04-09 09:57:30,360 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 09:57:30,360 - INFO - Macro F1: 0.5029 +2026-04-09 09:57:30,360 - INFO - Weighted F1: 0.5099 +2026-04-09 09:57:31,233 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_2.pt +2026-04-09 09:57:31,234 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_2.csv +2026-04-09 09:57:31,235 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 09:57:31,236 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 09:57:31,237 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_2.csv +2026-04-09 09:57:31,238 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 09:57:31,238 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 09:57:31,239 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_2.csv +2026-04-09 09:57:31,240 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 09:57:31,240 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 09:57:31,241 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_2.csv +2026-04-09 09:57:31,242 - INFO - 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train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_2.csv +2026-04-09 09:57:31,250 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 09:57:31,251 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 09:57:31,252 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_2.csv +2026-04-09 09:57:31,252 - INFO - Saved best transition 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- Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_2.csv +2026-04-09 09:57:31,258 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 09:57:31,259 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 09:57:31,260 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_2.csv +2026-04-09 09:57:31,260 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 09:57:31,261 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 09:57:31,262 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_2.csv +2026-04-09 09:57:31,263 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 09:57:31,263 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 09:57:31,264 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_2.csv +2026-04-09 09:57:31,265 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 09:57:31,265 - INFO - Saved best transition horizon 0.5s confusion matrix: 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per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 09:57:32,366 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 09:57:32,367 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 09:57:32,368 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 09:57:32,369 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 09:57:32,371 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 09:57:32,372 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 09:57:32,372 - INFO - Epoch 3/50, Learning Rate: 0.000050 +2026-04-09 10:19:12,915 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 10:19:12,979 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 10:19:13,035 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 10:19:13,091 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 10:19:13,146 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 10:19:13,202 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 10:19:15,041 - INFO - Epoch 3/50: +2026-04-09 10:19:15,041 - INFO - Train: loss=0.7495, accuracy_overall=0.8999 +2026-04-09 10:19:15,041 - INFO - Horizon 0.0s: accuracy=0.9179 +2026-04-09 10:19:15,041 - INFO - Horizon 0.1s: accuracy=0.9204 +2026-04-09 10:19:15,041 - INFO - Horizon 0.2s: accuracy=0.9161 +2026-04-09 10:19:15,041 - INFO - Horizon 0.3s: accuracy=0.9061 +2026-04-09 10:19:15,041 - INFO - Horizon 0.5s: accuracy=0.8920 +2026-04-09 10:19:15,041 - INFO - Horizon 1.0s: accuracy=0.8469 +2026-04-09 10:19:15,041 - INFO - Val Horizon 0.0s - Overall: loss=0.8511, accuracy=0.8543 +2026-04-09 10:19:15,041 - INFO - Horizon 0.0s - Overall F1: 0.8600, Precision: 0.8606, Recall: 0.8767 +2026-04-09 10:19:15,041 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 10:19:15,041 - INFO - Macro F1: 0.8600 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.8525 +2026-04-09 10:19:15,042 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9056 +2026-04-09 10:19:15,042 - INFO - Horizon 0.0s - Steady F1: 0.9079, Precision: 0.9059, Recall: 0.9212 +2026-04-09 10:19:15,042 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 10:19:15,042 - INFO - Macro F1: 0.9079 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.9056 +2026-04-09 10:19:15,042 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6177 +2026-04-09 10:19:15,042 - INFO - Horizon 0.0s - Transition F1: 0.6131, Precision: 0.6235, Recall: 0.6590 +2026-04-09 10:19:15,042 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 10:19:15,042 - INFO - Macro F1: 0.6131 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.6024 +2026-04-09 10:19:15,042 - INFO - +2026-04-09 10:19:15,042 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8558 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Overall F1: 0.8618, Precision: 0.8627, Recall: 0.8790 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 10:19:15,042 - INFO - Macro F1: 0.8618 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.8548 +2026-04-09 10:19:15,042 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9067 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Steady F1: 0.9096, Precision: 0.9075, Recall: 0.9230 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 10:19:15,042 - INFO - Macro F1: 0.9096 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.9070 +2026-04-09 10:19:15,042 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6242 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Transition F1: 0.6119, Precision: 0.6285, Recall: 0.6556 +2026-04-09 10:19:15,042 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 10:19:15,042 - INFO - Macro F1: 0.6119 +2026-04-09 10:19:15,042 - INFO - Weighted F1: 0.6129 +2026-04-09 10:19:15,042 - INFO - +2026-04-09 10:19:15,043 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8573 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Overall F1: 0.8640, Precision: 0.8646, Recall: 0.8838 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 10:19:15,043 - INFO - Macro F1: 0.8640 +2026-04-09 10:19:15,043 - INFO - Weighted F1: 0.8565 +2026-04-09 10:19:15,043 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9084 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Steady F1: 0.9105, Precision: 0.9053, Recall: 0.9289 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 10:19:15,043 - INFO - Macro F1: 0.9105 +2026-04-09 10:19:15,043 - INFO - Weighted F1: 0.9087 +2026-04-09 10:19:15,043 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6190 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Transition F1: 0.6235, Precision: 0.6359, Recall: 0.6674 +2026-04-09 10:19:15,043 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 10:19:15,043 - INFO - Macro F1: 0.6235 +2026-04-09 10:19:15,043 - INFO - Weighted F1: 0.6074 +2026-04-09 10:19:15,043 - INFO - +2026-04-09 10:19:15,043 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8503 +2026-04-09 10:19:15,043 - INFO - Horizon 0.3s - Overall F1: 0.8574, Precision: 0.8624, Recall: 0.8748 +2026-04-09 10:19:15,043 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 10:19:15,043 - INFO - Macro F1: 0.8574 +2026-04-09 10:19:15,043 - INFO - Weighted F1: 0.8494 +2026-04-09 10:19:15,043 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9030 +2026-04-09 10:19:15,043 - INFO - Horizon 0.3s - Steady F1: 0.9029, Precision: 0.9028, Recall: 0.9177 +2026-04-09 10:19:15,043 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 10:19:15,043 - INFO - Macro F1: 0.9029 +2026-04-09 10:19:15,043 - INFO - Weighted F1: 0.9035 +2026-04-09 10:19:15,044 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6110 +2026-04-09 10:19:15,044 - INFO - Horizon 0.3s - Transition F1: 0.6160, Precision: 0.6435, Recall: 0.6613 +2026-04-09 10:19:15,044 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 10:19:15,044 - INFO - Macro F1: 0.6160 +2026-04-09 10:19:15,044 - INFO - Weighted F1: 0.5929 +2026-04-09 10:19:15,044 - INFO - +2026-04-09 10:19:15,044 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8449 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Overall F1: 0.8521, Precision: 0.8633, Recall: 0.8627 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 10:19:15,044 - INFO - Macro F1: 0.8521 +2026-04-09 10:19:15,044 - INFO - Weighted F1: 0.8431 +2026-04-09 10:19:15,044 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8998 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Steady F1: 0.8973, Precision: 0.8998, Recall: 0.9099 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 10:19:15,044 - INFO - Macro F1: 0.8973 +2026-04-09 10:19:15,044 - INFO - Weighted F1: 0.9006 +2026-04-09 10:19:15,044 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5900 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Transition F1: 0.5712, Precision: 0.6298, Recall: 0.6084 +2026-04-09 10:19:15,044 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 10:19:15,044 - INFO - Macro F1: 0.5712 +2026-04-09 10:19:15,044 - INFO - Weighted F1: 0.5543 +2026-04-09 10:19:15,044 - INFO - +2026-04-09 10:19:15,044 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8273 +2026-04-09 10:19:15,044 - INFO - Horizon 1.0s - Overall F1: 0.8340, Precision: 0.8385, Recall: 0.8422 +2026-04-09 10:19:15,044 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 10:19:15,044 - INFO - Macro F1: 0.8340 +2026-04-09 10:19:15,045 - INFO - Weighted F1: 0.8265 +2026-04-09 10:19:15,045 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8864 +2026-04-09 10:19:15,045 - INFO - Horizon 1.0s - Steady F1: 0.8805, Precision: 0.8811, Recall: 0.8898 +2026-04-09 10:19:15,045 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 10:19:15,045 - INFO - Macro F1: 0.8805 +2026-04-09 10:19:15,045 - INFO - Weighted F1: 0.8869 +2026-04-09 10:19:15,045 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5478 +2026-04-09 10:19:15,045 - INFO - Horizon 1.0s - Transition F1: 0.5378, Precision: 0.5584, Recall: 0.5716 +2026-04-09 10:19:15,045 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 10:19:15,045 - INFO - Macro F1: 0.5378 +2026-04-09 10:19:15,045 - INFO - Weighted F1: 0.5226 +2026-04-09 10:19:15,912 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_3.pt +2026-04-09 10:19:15,914 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_3.csv +2026-04-09 10:19:15,915 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 10:19:15,915 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 10:19:15,916 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_3.csv +2026-04-09 10:19:15,917 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 10:19:15,917 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 10:19:15,918 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_3.csv +2026-04-09 10:19:15,919 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 10:19:15,919 - INFO - Saved best transition 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- Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 10:19:15,925 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 10:19:15,926 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_3.csv +2026-04-09 10:19:15,927 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 10:19:15,927 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 10:19:15,928 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_3.csv +2026-04-09 10:19:15,929 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 10:19:15,929 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 10:19:15,930 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_3.csv +2026-04-09 10:19:15,931 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 10:19:15,931 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 10:19:15,932 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_3.csv +2026-04-09 10:19:15,933 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 10:19:15,934 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 10:19:15,934 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_3.csv +2026-04-09 10:19:15,935 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 10:19:15,935 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 10:19:15,936 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_3.csv +2026-04-09 10:19:15,937 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 10:19:15,938 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 10:19:15,938 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_3.csv +2026-04-09 10:19:15,939 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 10:19:15,940 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 10:19:15,940 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_3.csv +2026-04-09 10:19:15,941 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 10:19:15,942 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 10:19:15,942 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_3.csv +2026-04-09 10:19:15,943 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 10:19:15,944 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 10:19:15,945 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_3.csv +2026-04-09 10:19:15,945 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 10:19:15,946 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 10:19:15,947 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_3.csv +2026-04-09 10:19:15,947 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 10:19:15,948 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 10:19:15,949 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_3.csv +2026-04-09 10:19:15,949 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 10:19:15,950 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 10:19:15,970 - INFO - Removed old checkpoint: checkpoint_epoch_2.pt +2026-04-09 10:19:16,820 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 10:19:16,834 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 10:19:16,970 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 10:19:16,972 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 10:19:16,973 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 10:19:16,974 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 10:19:16,975 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 10:19:16,976 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 10:19:16,977 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 10:19:16,977 - INFO - Epoch 4/50, Learning Rate: 0.000050 +2026-04-09 10:41:47,796 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 10:41:47,857 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 10:41:47,913 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 10:41:47,968 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 10:41:48,023 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 10:41:48,077 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 10:41:49,848 - INFO - Epoch 4/50: +2026-04-09 10:41:49,848 - INFO - Train: loss=0.7332, accuracy_overall=0.9059 +2026-04-09 10:41:49,848 - INFO - Horizon 0.0s: accuracy=0.9252 +2026-04-09 10:41:49,848 - INFO - Horizon 0.1s: accuracy=0.9231 +2026-04-09 10:41:49,848 - INFO - Horizon 0.2s: accuracy=0.9164 +2026-04-09 10:41:49,848 - INFO - Horizon 0.3s: accuracy=0.9142 +2026-04-09 10:41:49,848 - INFO - Horizon 0.5s: accuracy=0.8974 +2026-04-09 10:41:49,848 - INFO - Horizon 1.0s: accuracy=0.8592 +2026-04-09 10:41:49,848 - INFO - Val Horizon 0.0s - Overall: loss=0.7858, accuracy=0.8833 +2026-04-09 10:41:49,848 - INFO - Horizon 0.0s - Overall F1: 0.8902, Precision: 0.8754, Recall: 0.9093 +2026-04-09 10:41:49,849 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 10:41:49,849 - INFO - Macro F1: 0.8902 +2026-04-09 10:41:49,849 - INFO - Weighted F1: 0.8829 +2026-04-09 10:41:49,849 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9292 +2026-04-09 10:41:49,849 - INFO - Horizon 0.0s - Steady F1: 0.9353, Precision: 0.9224, Recall: 0.9497 +2026-04-09 10:41:49,849 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 10:41:49,849 - INFO - Macro F1: 0.9353 +2026-04-09 10:41:49,849 - INFO - Weighted F1: 0.9291 +2026-04-09 10:41:49,849 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6713 +2026-04-09 10:41:49,849 - INFO - Horizon 0.0s - Transition F1: 0.6675, Precision: 0.6359, Recall: 0.7252 +2026-04-09 10:41:49,849 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 10:41:49,849 - INFO - Macro F1: 0.6675 +2026-04-09 10:41:49,849 - INFO - Weighted F1: 0.6709 +2026-04-09 10:41:49,849 - INFO - +2026-04-09 10:41:49,849 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8875 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Overall F1: 0.8945, Precision: 0.8785, Recall: 0.9129 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 10:41:49,849 - INFO - Macro F1: 0.8945 +2026-04-09 10:41:49,849 - INFO - Weighted F1: 0.8872 +2026-04-09 10:41:49,849 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9336 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Steady F1: 0.9395, Precision: 0.9260, Recall: 0.9542 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 10:41:49,849 - INFO - Macro F1: 0.9395 +2026-04-09 10:41:49,849 - INFO - Weighted F1: 0.9336 +2026-04-09 10:41:49,849 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6778 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Transition F1: 0.6769, Precision: 0.6408, Recall: 0.7351 +2026-04-09 10:41:49,849 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.6769 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.6784 +2026-04-09 10:41:49,850 - INFO - +2026-04-09 10:41:49,850 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8844 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Overall F1: 0.8931, Precision: 0.8766, Recall: 0.9120 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.8931 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.8842 +2026-04-09 10:41:49,850 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9317 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Steady F1: 0.9379, Precision: 0.9219, Recall: 0.9557 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.9379 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.9318 +2026-04-09 10:41:49,850 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6641 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Transition F1: 0.6711, Precision: 0.6346, Recall: 0.7258 +2026-04-09 10:41:49,850 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.6711 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.6621 +2026-04-09 10:41:49,850 - INFO - +2026-04-09 10:41:49,850 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8802 +2026-04-09 10:41:49,850 - INFO - Horizon 0.3s - Overall F1: 0.8912, Precision: 0.8762, Recall: 0.9084 +2026-04-09 10:41:49,850 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.8912 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.8800 +2026-04-09 10:41:49,850 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9258 +2026-04-09 10:41:49,850 - INFO - Horizon 0.3s - Steady F1: 0.9315, Precision: 0.9168, Recall: 0.9478 +2026-04-09 10:41:49,850 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 10:41:49,850 - INFO - Macro F1: 0.9315 +2026-04-09 10:41:49,850 - INFO - Weighted F1: 0.9259 +2026-04-09 10:41:49,851 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6728 +2026-04-09 10:41:49,851 - INFO - Horizon 0.3s - Transition F1: 0.6891, Precision: 0.6585, Recall: 0.7362 +2026-04-09 10:41:49,851 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 10:41:49,851 - INFO - Macro F1: 0.6891 +2026-04-09 10:41:49,851 - INFO - Weighted F1: 0.6728 +2026-04-09 10:41:49,851 - INFO - +2026-04-09 10:41:49,851 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8725 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Overall F1: 0.8821, Precision: 0.8769, Recall: 0.8895 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 10:41:49,851 - INFO - Macro F1: 0.8821 +2026-04-09 10:41:49,851 - INFO - Weighted F1: 0.8730 +2026-04-09 10:41:49,851 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9208 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Steady F1: 0.9254, Precision: 0.9137, Recall: 0.9393 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 10:41:49,851 - INFO - Macro F1: 0.9254 +2026-04-09 10:41:49,851 - INFO - Weighted F1: 0.9214 +2026-04-09 10:41:49,851 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6483 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Transition F1: 0.6311, Precision: 0.6528, Recall: 0.6320 +2026-04-09 10:41:49,851 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 10:41:49,851 - INFO - Macro F1: 0.6311 +2026-04-09 10:41:49,851 - INFO - Weighted F1: 0.6434 +2026-04-09 10:41:49,851 - INFO - +2026-04-09 10:41:49,851 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8386 +2026-04-09 10:41:49,851 - INFO - Horizon 1.0s - Overall F1: 0.8503, Precision: 0.8555, Recall: 0.8463 +2026-04-09 10:41:49,851 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 10:41:49,851 - INFO - Macro F1: 0.8503 +2026-04-09 10:41:49,851 - INFO - Weighted F1: 0.8388 +2026-04-09 10:41:49,851 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9003 +2026-04-09 10:41:49,852 - INFO - Horizon 1.0s - Steady F1: 0.8967, Precision: 0.8987, Recall: 0.8989 +2026-04-09 10:41:49,852 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 10:41:49,852 - INFO - Macro F1: 0.8967 +2026-04-09 10:41:49,852 - INFO - Weighted F1: 0.8999 +2026-04-09 10:41:49,852 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5472 +2026-04-09 10:41:49,852 - INFO - Horizon 1.0s - Transition F1: 0.5394, Precision: 0.5991, Recall: 0.5085 +2026-04-09 10:41:49,852 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 10:41:49,852 - INFO - Macro F1: 0.5394 +2026-04-09 10:41:49,852 - INFO - Weighted F1: 0.5428 +2026-04-09 10:41:50,734 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_4.pt +2026-04-09 10:41:50,736 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_4.csv +2026-04-09 10:41:50,737 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 10:41:50,737 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 10:41:50,738 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_4.csv +2026-04-09 10:41:50,739 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 10:41:50,739 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 10:41:50,740 - INFO - Saved transition horizon 0.0s 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- Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_4.csv +2026-04-09 10:41:50,759 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 10:41:50,760 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 10:41:50,761 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_4.csv +2026-04-09 10:41:50,761 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 10:41:50,762 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 10:41:50,763 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_4.csv +2026-04-09 10:41:50,763 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 10:41:50,764 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 10:41:50,765 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_4.csv +2026-04-09 10:41:50,765 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 10:41:50,766 - INFO - Saved best transition horizon 0.5s confusion matrix: 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train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_4.csv +2026-04-09 10:41:50,769 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 10:41:50,770 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 10:41:50,771 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_4.csv +2026-04-09 10:41:50,771 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 10:41:50,772 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 10:41:50,781 - INFO - Removed old checkpoint: checkpoint_epoch_3.pt +2026-04-09 10:41:51,657 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 10:41:51,669 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 10:41:51,813 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 10:41:51,814 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 10:41:51,815 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 10:41:51,816 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 10:41:51,817 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 10:41:51,818 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 10:41:51,819 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 10:41:51,820 - INFO - Epoch 5/50, Learning Rate: 0.000049 +2026-04-09 11:04:45,949 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 11:04:46,010 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:04:46,066 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 11:04:46,121 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:04:46,175 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 11:04:46,231 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 11:04:48,026 - INFO - Epoch 5/50: +2026-04-09 11:04:48,026 - INFO - Train: loss=0.7185, accuracy_overall=0.9111 +2026-04-09 11:04:48,026 - INFO - Horizon 0.0s: accuracy=0.9236 +2026-04-09 11:04:48,026 - INFO - Horizon 0.1s: accuracy=0.9266 +2026-04-09 11:04:48,026 - INFO - Horizon 0.2s: accuracy=0.9286 +2026-04-09 11:04:48,027 - INFO - Horizon 0.3s: accuracy=0.9179 +2026-04-09 11:04:48,027 - INFO - Horizon 0.5s: accuracy=0.9023 +2026-04-09 11:04:48,027 - INFO - Horizon 1.0s: accuracy=0.8674 +2026-04-09 11:04:48,027 - INFO - Val Horizon 0.0s - Overall: loss=0.8117, accuracy=0.8781 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Overall F1: 0.8889, Precision: 0.8710, Recall: 0.9153 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 11:04:48,027 - INFO - Macro F1: 0.8889 +2026-04-09 11:04:48,027 - INFO - Weighted F1: 0.8782 +2026-04-09 11:04:48,027 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9222 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Steady F1: 0.9325, Precision: 0.9147, Recall: 0.9569 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 11:04:48,027 - INFO - Macro F1: 0.9325 +2026-04-09 11:04:48,027 - INFO - Weighted F1: 0.9226 +2026-04-09 11:04:48,027 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6745 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Transition F1: 0.6511, Precision: 0.6351, Recall: 0.7004 +2026-04-09 11:04:48,027 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 11:04:48,027 - INFO - Macro F1: 0.6511 +2026-04-09 11:04:48,027 - INFO - Weighted F1: 0.6700 +2026-04-09 11:04:48,028 - INFO - +2026-04-09 11:04:48,028 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8769 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Overall F1: 0.8884, Precision: 0.8717, Recall: 0.9131 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 11:04:48,028 - INFO - Macro F1: 0.8884 +2026-04-09 11:04:48,028 - INFO - Weighted F1: 0.8770 +2026-04-09 11:04:48,028 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9228 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Steady F1: 0.9351, Precision: 0.9164, Recall: 0.9599 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 11:04:48,028 - INFO - Macro F1: 0.9351 +2026-04-09 11:04:48,028 - INFO - Weighted F1: 0.9231 +2026-04-09 11:04:48,028 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6683 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Transition F1: 0.6520, Precision: 0.6423, Recall: 0.6981 +2026-04-09 11:04:48,028 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 11:04:48,028 - INFO - Macro F1: 0.6520 +2026-04-09 11:04:48,028 - INFO - Weighted F1: 0.6669 +2026-04-09 11:04:48,029 - INFO - +2026-04-09 11:04:48,029 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8725 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Overall F1: 0.8843, Precision: 0.8686, Recall: 0.9086 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 11:04:48,029 - INFO - Macro F1: 0.8843 +2026-04-09 11:04:48,029 - INFO - Weighted F1: 0.8726 +2026-04-09 11:04:48,029 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9193 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Steady F1: 0.9305, Precision: 0.9124, Recall: 0.9547 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 11:04:48,029 - INFO - Macro F1: 0.9305 +2026-04-09 11:04:48,029 - INFO - Weighted F1: 0.9196 +2026-04-09 11:04:48,029 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6544 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Transition F1: 0.6472, Precision: 0.6329, Recall: 0.6921 +2026-04-09 11:04:48,029 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 11:04:48,029 - INFO - Macro F1: 0.6472 +2026-04-09 11:04:48,029 - INFO - Weighted F1: 0.6549 +2026-04-09 11:04:48,029 - INFO - +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8735 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Overall F1: 0.8840, Precision: 0.8701, Recall: 0.9067 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 11:04:48,030 - INFO - Macro F1: 0.8840 +2026-04-09 11:04:48,030 - INFO - Weighted F1: 0.8735 +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9197 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Steady F1: 0.9280, Precision: 0.9100, Recall: 0.9517 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 11:04:48,030 - INFO - Macro F1: 0.9280 +2026-04-09 11:04:48,030 - INFO - Weighted F1: 0.9201 +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6633 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Transition F1: 0.6640, Precision: 0.6544, Recall: 0.7070 +2026-04-09 11:04:48,030 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 11:04:48,030 - INFO - Macro F1: 0.6640 +2026-04-09 11:04:48,030 - INFO - Weighted F1: 0.6637 +2026-04-09 11:04:48,030 - INFO - +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8647 +2026-04-09 11:04:48,030 - INFO - Horizon 0.5s - Overall F1: 0.8770, Precision: 0.8658, Recall: 0.8941 +2026-04-09 11:04:48,030 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 11:04:48,030 - INFO - Macro F1: 0.8770 +2026-04-09 11:04:48,030 - INFO - Weighted F1: 0.8650 +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9121 +2026-04-09 11:04:48,030 - INFO - Horizon 0.5s - Steady F1: 0.9193, Precision: 0.9030, Recall: 0.9407 +2026-04-09 11:04:48,030 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 11:04:48,030 - INFO - Macro F1: 0.9193 +2026-04-09 11:04:48,030 - INFO - Weighted F1: 0.9126 +2026-04-09 11:04:48,030 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6445 +2026-04-09 11:04:48,031 - INFO - Horizon 0.5s - Transition F1: 0.6459, Precision: 0.6450, Recall: 0.6658 +2026-04-09 11:04:48,031 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 11:04:48,031 - INFO - Macro F1: 0.6459 +2026-04-09 11:04:48,031 - INFO - Weighted F1: 0.6463 +2026-04-09 11:04:48,031 - INFO - +2026-04-09 11:04:48,031 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8293 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Overall F1: 0.8475, Precision: 0.8384, Recall: 0.8621 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 11:04:48,031 - INFO - Macro F1: 0.8475 +2026-04-09 11:04:48,031 - INFO - Weighted F1: 0.8299 +2026-04-09 11:04:48,031 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8809 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Steady F1: 0.8895, Precision: 0.8749, Recall: 0.9089 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 11:04:48,031 - INFO - Macro F1: 0.8895 +2026-04-09 11:04:48,031 - INFO - Weighted F1: 0.8811 +2026-04-09 11:04:48,031 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5856 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Transition F1: 0.5700, Precision: 0.5967, Recall: 0.5773 +2026-04-09 11:04:48,031 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 11:04:48,031 - INFO - Macro F1: 0.5700 +2026-04-09 11:04:48,031 - INFO - Weighted F1: 0.5832 +2026-04-09 11:04:48,899 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_5.pt +2026-04-09 11:04:48,901 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,902 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,902 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,903 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,904 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,905 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,906 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,906 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,907 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,908 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,909 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,910 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,910 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,911 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,912 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,913 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_5.csv +2026-04-09 11:04:48,914 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_5.csv +2026-04-09 11:04:48,914 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_5.csv +2026-04-09 11:04:48,932 - INFO - Removed old checkpoint: checkpoint_epoch_4.pt +2026-04-09 11:04:48,933 - INFO - Epoch 6/50, Learning Rate: 0.000049 +2026-04-09 11:26:27,968 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 11:26:28,028 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:26:28,082 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 11:26:28,137 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:26:28,192 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 11:26:28,247 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 11:26:30,023 - INFO - Epoch 6/50: +2026-04-09 11:26:30,023 - INFO - Train: loss=0.7138, accuracy_overall=0.9123 +2026-04-09 11:26:30,023 - INFO - Horizon 0.0s: accuracy=0.9269 +2026-04-09 11:26:30,023 - INFO - Horizon 0.1s: accuracy=0.9279 +2026-04-09 11:26:30,023 - INFO - Horizon 0.2s: accuracy=0.9240 +2026-04-09 11:26:30,023 - INFO - Horizon 0.3s: accuracy=0.9206 +2026-04-09 11:26:30,023 - INFO - Horizon 0.5s: accuracy=0.9090 +2026-04-09 11:26:30,024 - INFO - Horizon 1.0s: accuracy=0.8656 +2026-04-09 11:26:30,024 - INFO - Val Horizon 0.0s - Overall: loss=0.7867, accuracy=0.8842 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Overall F1: 0.8883, Precision: 0.8930, Recall: 0.8858 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 11:26:30,024 - INFO - Macro F1: 0.8883 +2026-04-09 11:26:30,024 - INFO - Weighted F1: 0.8831 +2026-04-09 11:26:30,024 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9327 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Steady F1: 0.9328, Precision: 0.9339, Recall: 0.9330 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 11:26:30,024 - INFO - Macro F1: 0.9328 +2026-04-09 11:26:30,024 - INFO - Weighted F1: 0.9324 +2026-04-09 11:26:30,024 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6605 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Transition F1: 0.6606, Precision: 0.6668, Recall: 0.6808 +2026-04-09 11:26:30,024 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 11:26:30,024 - INFO - Macro F1: 0.6606 +2026-04-09 11:26:30,024 - INFO - Weighted F1: 0.6617 +2026-04-09 11:26:30,024 - INFO - +2026-04-09 11:26:30,024 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8834 +2026-04-09 11:26:30,024 - INFO - Horizon 0.1s - Overall F1: 0.8864, Precision: 0.8891, Recall: 0.8879 +2026-04-09 11:26:30,024 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 11:26:30,024 - INFO - Macro F1: 0.8864 +2026-04-09 11:26:30,024 - INFO - Weighted F1: 0.8825 +2026-04-09 11:26:30,025 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9353 +2026-04-09 11:26:30,025 - INFO - Horizon 0.1s - Steady F1: 0.9358, Precision: 0.9338, Recall: 0.9401 +2026-04-09 11:26:30,025 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 11:26:30,025 - INFO - Macro F1: 0.9358 +2026-04-09 11:26:30,025 - INFO - Weighted F1: 0.9351 +2026-04-09 11:26:30,025 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6475 +2026-04-09 11:26:30,025 - INFO - Horizon 0.1s - Transition F1: 0.6264, Precision: 0.6310, Recall: 0.6464 +2026-04-09 11:26:30,025 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 11:26:30,025 - INFO - Macro F1: 0.6264 +2026-04-09 11:26:30,025 - INFO - Weighted F1: 0.6404 +2026-04-09 11:26:30,025 - INFO - +2026-04-09 11:26:30,025 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8788 +2026-04-09 11:26:30,025 - INFO - Horizon 0.2s - Overall F1: 0.8846, Precision: 0.8911, Recall: 0.8844 +2026-04-09 11:26:30,025 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 11:26:30,025 - INFO - Macro F1: 0.8846 +2026-04-09 11:26:30,025 - INFO - Weighted F1: 0.8773 +2026-04-09 11:26:30,025 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9313 +2026-04-09 11:26:30,025 - INFO - Horizon 0.2s - Steady F1: 0.9333, Precision: 0.9314, Recall: 0.9388 +2026-04-09 11:26:30,025 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 11:26:30,025 - INFO - Macro F1: 0.9333 +2026-04-09 11:26:30,025 - INFO - Weighted F1: 0.9310 +2026-04-09 11:26:30,025 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6338 +2026-04-09 11:26:30,025 - INFO - Horizon 0.2s - Transition F1: 0.6287, Precision: 0.6486, Recall: 0.6419 +2026-04-09 11:26:30,026 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 11:26:30,026 - INFO - Macro F1: 0.6287 +2026-04-09 11:26:30,026 - INFO - Weighted F1: 0.6213 +2026-04-09 11:26:30,026 - INFO - +2026-04-09 11:26:30,026 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8742 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Overall F1: 0.8777, Precision: 0.8903, Recall: 0.8743 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 11:26:30,026 - INFO - Macro F1: 0.8777 +2026-04-09 11:26:30,026 - INFO - Weighted F1: 0.8720 +2026-04-09 11:26:30,026 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9239 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Steady F1: 0.9222, Precision: 0.9247, Recall: 0.9256 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 11:26:30,026 - INFO - Macro F1: 0.9222 +2026-04-09 11:26:30,026 - INFO - Weighted F1: 0.9234 +2026-04-09 11:26:30,026 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6482 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Transition F1: 0.6286, Precision: 0.6707, Recall: 0.6363 +2026-04-09 11:26:30,026 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 11:26:30,026 - INFO - Macro F1: 0.6286 +2026-04-09 11:26:30,026 - INFO - Weighted F1: 0.6304 +2026-04-09 11:26:30,026 - INFO - +2026-04-09 11:26:30,026 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8623 +2026-04-09 11:26:30,026 - INFO - Horizon 0.5s - Overall F1: 0.8690, Precision: 0.8835, Recall: 0.8629 +2026-04-09 11:26:30,027 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 11:26:30,027 - INFO - Macro F1: 0.8690 +2026-04-09 11:26:30,027 - INFO - Weighted F1: 0.8599 +2026-04-09 11:26:30,027 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9188 +2026-04-09 11:26:30,027 - INFO - Horizon 0.5s - Steady F1: 0.9173, Precision: 0.9211, Recall: 0.9181 +2026-04-09 11:26:30,027 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 11:26:30,027 - INFO - Macro F1: 0.9173 +2026-04-09 11:26:30,027 - INFO - Weighted F1: 0.9182 +2026-04-09 11:26:30,027 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6003 +2026-04-09 11:26:30,027 - INFO - Horizon 0.5s - Transition F1: 0.6010, Precision: 0.6501, Recall: 0.5993 +2026-04-09 11:26:30,027 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 11:26:30,027 - INFO - Macro F1: 0.6010 +2026-04-09 11:26:30,027 - INFO - Weighted F1: 0.5816 +2026-04-09 11:26:30,027 - INFO - +2026-04-09 11:26:30,027 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8285 +2026-04-09 11:26:30,027 - INFO - Horizon 1.0s - Overall F1: 0.8412, Precision: 0.8611, Recall: 0.8312 +2026-04-09 11:26:30,027 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 11:26:30,027 - INFO - Macro F1: 0.8412 +2026-04-09 11:26:30,027 - INFO - Weighted F1: 0.8280 +2026-04-09 11:26:30,027 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8915 +2026-04-09 11:26:30,027 - INFO - Horizon 1.0s - Steady F1: 0.8854, Precision: 0.8941, Recall: 0.8826 +2026-04-09 11:26:30,027 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 11:26:30,028 - INFO - Macro F1: 0.8854 +2026-04-09 11:26:30,028 - INFO - Weighted F1: 0.8915 +2026-04-09 11:26:30,028 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5309 +2026-04-09 11:26:30,028 - INFO - Horizon 1.0s - Transition F1: 0.5192, Precision: 0.6100, Recall: 0.4927 +2026-04-09 11:26:30,028 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 11:26:30,028 - INFO - Macro F1: 0.5192 +2026-04-09 11:26:30,028 - INFO - Weighted F1: 0.5140 +2026-04-09 11:26:30,898 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_6.pt +2026-04-09 11:26:30,900 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_6.csv +2026-04-09 11:26:30,901 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 11:26:30,901 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 11:26:30,902 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_6.csv +2026-04-09 11:26:30,903 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 11:26:30,903 - INFO - Saved best steady 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+2026-04-09 11:26:30,906 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_6.csv +2026-04-09 11:26:30,907 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 11:26:30,907 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 11:26:30,908 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_6.csv +2026-04-09 11:26:30,909 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 11:26:30,909 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 11:26:30,910 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_6.csv +2026-04-09 11:26:30,911 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 11:26:30,911 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 11:26:30,912 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_6.csv +2026-04-09 11:26:30,913 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 11:26:30,914 - INFO - Saved best overall horizon 0.2s 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- Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_6.csv +2026-04-09 11:26:30,936 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 11:26:30,936 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 11:26:30,951 - INFO - Removed old checkpoint: checkpoint_epoch_5.pt +2026-04-09 11:26:31,854 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 11:26:31,867 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 11:26:32,009 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 11:26:32,011 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 11:26:32,012 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 11:26:32,013 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 11:26:32,014 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 11:26:32,015 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 11:26:32,016 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 11:26:32,016 - INFO - Epoch 7/50, Learning Rate: 0.000048 +2026-04-09 11:48:34,288 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 11:48:34,351 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:48:34,406 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 11:48:34,461 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 11:48:34,516 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 11:48:34,570 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 11:48:36,350 - INFO - Epoch 7/50: +2026-04-09 11:48:36,351 - INFO - Train: loss=0.6977, accuracy_overall=0.9208 +2026-04-09 11:48:36,351 - INFO - Horizon 0.0s: accuracy=0.9297 +2026-04-09 11:48:36,351 - INFO - Horizon 0.1s: accuracy=0.9330 +2026-04-09 11:48:36,351 - INFO - Horizon 0.2s: accuracy=0.9333 +2026-04-09 11:48:36,351 - INFO - Horizon 0.3s: accuracy=0.9310 +2026-04-09 11:48:36,351 - INFO - Horizon 0.5s: accuracy=0.9181 +2026-04-09 11:48:36,351 - INFO - Horizon 1.0s: accuracy=0.8797 +2026-04-09 11:48:36,351 - INFO - Val Horizon 0.0s - Overall: loss=0.8008, accuracy=0.8686 +2026-04-09 11:48:36,351 - INFO - Horizon 0.0s - Overall F1: 0.8716, Precision: 0.8860, Recall: 0.8665 +2026-04-09 11:48:36,351 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 11:48:36,351 - INFO - Macro F1: 0.8716 +2026-04-09 11:48:36,351 - INFO - Weighted F1: 0.8667 +2026-04-09 11:48:36,351 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9253 +2026-04-09 11:48:36,352 - INFO - Horizon 0.0s - Steady F1: 0.9231, Precision: 0.9284, Recall: 0.9222 +2026-04-09 11:48:36,352 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 11:48:36,352 - INFO - Macro F1: 0.9231 +2026-04-09 11:48:36,352 - INFO - Weighted F1: 0.9250 +2026-04-09 11:48:36,352 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6069 +2026-04-09 11:48:36,352 - INFO - Horizon 0.0s - Transition F1: 0.5799, Precision: 0.6475, Recall: 0.5852 +2026-04-09 11:48:36,352 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 11:48:36,352 - INFO - Macro F1: 0.5799 +2026-04-09 11:48:36,352 - INFO - Weighted F1: 0.5968 +2026-04-09 11:48:36,352 - INFO - +2026-04-09 11:48:36,352 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8739 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Overall F1: 0.8768, Precision: 0.8946, Recall: 0.8652 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 11:48:36,352 - INFO - Macro F1: 0.8768 +2026-04-09 11:48:36,352 - INFO - Weighted F1: 0.8726 +2026-04-09 11:48:36,352 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9293 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Steady F1: 0.9280, Precision: 0.9360, Recall: 0.9225 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 11:48:36,352 - INFO - Macro F1: 0.9280 +2026-04-09 11:48:36,352 - INFO - Weighted F1: 0.9292 +2026-04-09 11:48:36,352 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6217 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Transition F1: 0.5796, Precision: 0.6568, Recall: 0.5738 +2026-04-09 11:48:36,352 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 11:48:36,352 - INFO - Macro F1: 0.5796 +2026-04-09 11:48:36,353 - INFO - Weighted F1: 0.6158 +2026-04-09 11:48:36,353 - INFO - +2026-04-09 11:48:36,353 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8736 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Overall F1: 0.8789, Precision: 0.8874, Recall: 0.8757 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 11:48:36,353 - INFO - Macro F1: 0.8789 +2026-04-09 11:48:36,353 - INFO - Weighted F1: 0.8732 +2026-04-09 11:48:36,353 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9291 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Steady F1: 0.9288, Precision: 0.9303, Recall: 0.9296 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 11:48:36,353 - INFO - Macro F1: 0.9288 +2026-04-09 11:48:36,353 - INFO - Weighted F1: 0.9292 +2026-04-09 11:48:36,353 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6152 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Transition F1: 0.6039, Precision: 0.6677, Recall: 0.6002 +2026-04-09 11:48:36,353 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 11:48:36,353 - INFO - Macro F1: 0.6039 +2026-04-09 11:48:36,353 - INFO - Weighted F1: 0.6111 +2026-04-09 11:48:36,353 - INFO - +2026-04-09 11:48:36,353 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8733 +2026-04-09 11:48:36,353 - INFO - Horizon 0.3s - Overall F1: 0.8771, Precision: 0.8892, Recall: 0.8717 +2026-04-09 11:48:36,353 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 11:48:36,353 - INFO - Macro F1: 0.8771 +2026-04-09 11:48:36,353 - INFO - Weighted F1: 0.8725 +2026-04-09 11:48:36,353 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9257 +2026-04-09 11:48:36,353 - INFO - Horizon 0.3s - Steady F1: 0.9222, Precision: 0.9308, Recall: 0.9174 +2026-04-09 11:48:36,354 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 11:48:36,354 - INFO - Macro F1: 0.9222 +2026-04-09 11:48:36,354 - INFO - Weighted F1: 0.9255 +2026-04-09 11:48:36,354 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6349 +2026-04-09 11:48:36,354 - INFO - Horizon 0.3s - Transition F1: 0.6163, Precision: 0.6769, Recall: 0.6182 +2026-04-09 11:48:36,354 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 11:48:36,354 - INFO - Macro F1: 0.6163 +2026-04-09 11:48:36,354 - INFO - Weighted F1: 0.6304 +2026-04-09 11:48:36,354 - INFO - +2026-04-09 11:48:36,354 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8580 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Overall F1: 0.8625, Precision: 0.8766, Recall: 0.8640 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 11:48:36,354 - INFO - Macro F1: 0.8625 +2026-04-09 11:48:36,354 - INFO - Weighted F1: 0.8560 +2026-04-09 11:48:36,354 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9178 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Steady F1: 0.9070, Precision: 0.9186, Recall: 0.9105 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 11:48:36,354 - INFO - Macro F1: 0.9070 +2026-04-09 11:48:36,354 - INFO - Weighted F1: 0.9170 +2026-04-09 11:48:36,354 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5804 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Transition F1: 0.5928, Precision: 0.6290, Recall: 0.5892 +2026-04-09 11:48:36,354 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 11:48:36,354 - INFO - Macro F1: 0.5928 +2026-04-09 11:48:36,354 - INFO - Weighted F1: 0.5701 +2026-04-09 11:48:36,354 - INFO - +2026-04-09 11:48:36,354 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8409 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Overall F1: 0.8478, Precision: 0.8518, Recall: 0.8522 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 11:48:36,355 - INFO - Macro F1: 0.8478 +2026-04-09 11:48:36,355 - INFO - Weighted F1: 0.8404 +2026-04-09 11:48:36,355 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9017 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Steady F1: 0.8912, Precision: 0.8962, Recall: 0.9013 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 11:48:36,355 - INFO - Macro F1: 0.8912 +2026-04-09 11:48:36,355 - INFO - Weighted F1: 0.9019 +2026-04-09 11:48:36,355 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5537 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Transition F1: 0.5632, Precision: 0.6137, Recall: 0.5564 +2026-04-09 11:48:36,355 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 11:48:36,355 - INFO - Macro F1: 0.5632 +2026-04-09 11:48:36,355 - INFO - Weighted F1: 0.5433 +2026-04-09 11:48:37,236 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_7.pt +2026-04-09 11:48:37,237 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,238 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,239 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,240 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,240 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,241 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,242 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,243 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,243 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,244 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,245 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,246 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,247 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,247 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,248 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,249 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_7.csv +2026-04-09 11:48:37,250 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_7.csv +2026-04-09 11:48:37,250 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_7.csv +2026-04-09 11:48:37,262 - INFO - Removed old checkpoint: checkpoint_epoch_6.pt +2026-04-09 11:48:37,263 - INFO - Epoch 8/50, Learning Rate: 0.000048 +2026-04-09 12:14:27,029 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 12:14:27,094 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 12:14:27,153 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 12:14:27,210 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 12:14:27,267 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 12:14:27,324 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 12:14:29,127 - INFO - Epoch 8/50: +2026-04-09 12:14:29,127 - INFO - Train: loss=0.6925, accuracy_overall=0.9210 +2026-04-09 12:14:29,127 - INFO - Horizon 0.0s: accuracy=0.9368 +2026-04-09 12:14:29,127 - INFO - Horizon 0.1s: accuracy=0.9362 +2026-04-09 12:14:29,127 - INFO - Horizon 0.2s: accuracy=0.9331 +2026-04-09 12:14:29,127 - INFO - Horizon 0.3s: accuracy=0.9260 +2026-04-09 12:14:29,127 - INFO - Horizon 0.5s: accuracy=0.9141 +2026-04-09 12:14:29,127 - INFO - Horizon 1.0s: accuracy=0.8798 +2026-04-09 12:14:29,127 - INFO - Val Horizon 0.0s - Overall: loss=0.7674, accuracy=0.8926 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Overall F1: 0.8963, Precision: 0.8770, Recall: 0.9235 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 12:14:29,128 - INFO - Macro F1: 0.8963 +2026-04-09 12:14:29,128 - INFO - Weighted F1: 0.8931 +2026-04-09 12:14:29,128 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9412 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Steady F1: 0.9405, Precision: 0.9211, Recall: 0.9650 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 12:14:29,128 - INFO - Macro F1: 0.9405 +2026-04-09 12:14:29,128 - INFO - Weighted F1: 0.9418 +2026-04-09 12:14:29,128 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6682 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Transition F1: 0.6686, Precision: 0.6391, Recall: 0.7348 +2026-04-09 12:14:29,128 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 12:14:29,128 - INFO - Macro F1: 0.6686 +2026-04-09 12:14:29,129 - INFO - Weighted F1: 0.6560 +2026-04-09 12:14:29,129 - INFO - +2026-04-09 12:14:29,129 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8976 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Overall F1: 0.9014, Precision: 0.8829, Recall: 0.9273 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 12:14:29,129 - INFO - Macro F1: 0.9014 +2026-04-09 12:14:29,129 - INFO - Weighted F1: 0.8982 +2026-04-09 12:14:29,129 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9434 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Steady F1: 0.9424, Precision: 0.9234, Recall: 0.9668 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 12:14:29,129 - INFO - Macro F1: 0.9424 +2026-04-09 12:14:29,129 - INFO - Weighted F1: 0.9441 +2026-04-09 12:14:29,129 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6892 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Transition F1: 0.6762, Precision: 0.6513, Recall: 0.7346 +2026-04-09 12:14:29,129 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 12:14:29,129 - INFO - Macro F1: 0.6762 +2026-04-09 12:14:29,129 - INFO - Weighted F1: 0.6798 +2026-04-09 12:14:29,129 - INFO - +2026-04-09 12:14:29,129 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8948 +2026-04-09 12:14:29,129 - INFO - Horizon 0.2s - Overall F1: 0.9003, Precision: 0.8842, Recall: 0.9222 +2026-04-09 12:14:29,129 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 12:14:29,129 - INFO - Macro F1: 0.9003 +2026-04-09 12:14:29,129 - INFO - Weighted F1: 0.8952 +2026-04-09 12:14:29,129 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9411 +2026-04-09 12:14:29,129 - INFO - Horizon 0.2s - Steady F1: 0.9412, Precision: 0.9222, Recall: 0.9653 +2026-04-09 12:14:29,130 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 12:14:29,130 - INFO - Macro F1: 0.9412 +2026-04-09 12:14:29,130 - INFO - Weighted F1: 0.9416 +2026-04-09 12:14:29,130 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6789 +2026-04-09 12:14:29,130 - INFO - Horizon 0.2s - Transition F1: 0.6801, Precision: 0.6620, Recall: 0.7249 +2026-04-09 12:14:29,130 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 12:14:29,130 - INFO - Macro F1: 0.6801 +2026-04-09 12:14:29,130 - INFO - Weighted F1: 0.6726 +2026-04-09 12:14:29,130 - INFO - +2026-04-09 12:14:29,130 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8932 +2026-04-09 12:14:29,130 - INFO - Horizon 0.3s - Overall F1: 0.8980, Precision: 0.8831, Recall: 0.9191 +2026-04-09 12:14:29,130 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 12:14:29,130 - INFO - Macro F1: 0.8980 +2026-04-09 12:14:29,130 - INFO - Weighted F1: 0.8936 +2026-04-09 12:14:29,130 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9403 +2026-04-09 12:14:29,130 - INFO - Horizon 0.3s - Steady F1: 0.9389, Precision: 0.9216, Recall: 0.9610 +2026-04-09 12:14:29,130 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 12:14:29,130 - INFO - Macro F1: 0.9389 +2026-04-09 12:14:29,130 - INFO - Weighted F1: 0.9408 +2026-04-09 12:14:29,130 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6791 +2026-04-09 12:14:29,130 - INFO - Horizon 0.3s - Transition F1: 0.6747, Precision: 0.6568, Recall: 0.7221 +2026-04-09 12:14:29,131 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 12:14:29,131 - INFO - Macro F1: 0.6747 +2026-04-09 12:14:29,131 - INFO - Weighted F1: 0.6740 +2026-04-09 12:14:29,131 - INFO - +2026-04-09 12:14:29,131 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8838 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Overall F1: 0.8851, Precision: 0.8881, Recall: 0.8867 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 12:14:29,131 - INFO - Macro F1: 0.8851 +2026-04-09 12:14:29,131 - INFO - Weighted F1: 0.8835 +2026-04-09 12:14:29,131 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9356 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Steady F1: 0.9320, Precision: 0.9247, Recall: 0.9426 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 12:14:29,131 - INFO - Macro F1: 0.9320 +2026-04-09 12:14:29,131 - INFO - Weighted F1: 0.9361 +2026-04-09 12:14:29,131 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6432 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Transition F1: 0.6251, Precision: 0.6602, Recall: 0.6372 +2026-04-09 12:14:29,131 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 12:14:29,131 - INFO - Macro F1: 0.6251 +2026-04-09 12:14:29,131 - INFO - Weighted F1: 0.6403 +2026-04-09 12:14:29,131 - INFO - +2026-04-09 12:14:29,131 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8494 +2026-04-09 12:14:29,131 - INFO - Horizon 1.0s - Overall F1: 0.8571, Precision: 0.8643, Recall: 0.8555 +2026-04-09 12:14:29,132 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 12:14:29,132 - INFO - Macro F1: 0.8571 +2026-04-09 12:14:29,132 - INFO - Weighted F1: 0.8515 +2026-04-09 12:14:29,132 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9083 +2026-04-09 12:14:29,132 - INFO - Horizon 1.0s - Steady F1: 0.8997, Precision: 0.8944, Recall: 0.9091 +2026-04-09 12:14:29,132 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 12:14:29,132 - INFO - Macro F1: 0.8997 +2026-04-09 12:14:29,132 - INFO - Weighted F1: 0.9100 +2026-04-09 12:14:29,132 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5712 +2026-04-09 12:14:29,132 - INFO - Horizon 1.0s - Transition F1: 0.5616, Precision: 0.6491, Recall: 0.5389 +2026-04-09 12:14:29,132 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 12:14:29,132 - INFO - Macro F1: 0.5616 +2026-04-09 12:14:29,132 - INFO - Weighted F1: 0.5639 +2026-04-09 12:14:30,192 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_8.pt +2026-04-09 12:14:30,194 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_8.csv +2026-04-09 12:14:30,195 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 12:14:30,196 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 12:14:30,196 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_8.csv +2026-04-09 12:14:30,197 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 12:14:30,198 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 12:14:30,199 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_8.csv +2026-04-09 12:14:30,199 - INFO - Saved best transition 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+2026-04-09 12:14:30,208 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 12:14:30,208 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 12:14:30,209 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_8.csv +2026-04-09 12:14:30,210 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 12:14:30,211 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 12:14:30,211 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_8.csv +2026-04-09 12:14:30,212 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 12:14:30,213 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 12:14:30,213 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_8.csv +2026-04-09 12:14:30,214 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 12:14:30,215 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 12:14:30,216 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_8.csv +2026-04-09 12:14:30,216 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 12:14:30,217 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 12:14:30,218 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_8.csv +2026-04-09 12:14:30,218 - INFO - Saved best transition 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- Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_8.csv +2026-04-09 12:14:30,225 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 12:14:30,225 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 12:14:30,226 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_8.csv +2026-04-09 12:14:30,227 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 12:14:30,227 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 12:14:30,228 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_8.csv +2026-04-09 12:14:30,229 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 12:14:30,230 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 12:14:30,230 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_8.csv +2026-04-09 12:14:30,231 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 12:14:30,232 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 12:14:30,255 - INFO - Removed old checkpoint: checkpoint_epoch_7.pt +2026-04-09 12:14:31,262 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 12:14:31,275 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 12:14:31,426 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 12:14:31,427 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 12:14:31,428 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 12:14:31,429 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 12:14:31,430 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 12:14:31,432 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 12:14:31,433 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 12:14:31,433 - INFO - Epoch 9/50, Learning Rate: 0.000047 +2026-04-09 12:35:51,633 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 12:35:51,706 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 12:35:51,770 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 12:35:51,832 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 12:35:51,892 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 12:35:51,950 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 12:35:53,840 - INFO - Epoch 9/50: +2026-04-09 12:35:53,840 - INFO - Train: loss=0.6853, accuracy_overall=0.9241 +2026-04-09 12:35:53,840 - INFO - Horizon 0.0s: accuracy=0.9377 +2026-04-09 12:35:53,840 - INFO - Horizon 0.1s: accuracy=0.9369 +2026-04-09 12:35:53,840 - INFO - Horizon 0.2s: accuracy=0.9377 +2026-04-09 12:35:53,840 - INFO - Horizon 0.3s: accuracy=0.9312 +2026-04-09 12:35:53,840 - INFO - Horizon 0.5s: accuracy=0.9155 +2026-04-09 12:35:53,841 - INFO - Horizon 1.0s: accuracy=0.8857 +2026-04-09 12:35:53,841 - INFO - Val Horizon 0.0s - Overall: loss=0.7564, accuracy=0.8999 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Overall F1: 0.9031, Precision: 0.8977, Recall: 0.9127 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 12:35:53,841 - INFO - Macro F1: 0.9031 +2026-04-09 12:35:53,841 - INFO - Weighted F1: 0.9004 +2026-04-09 12:35:53,841 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9459 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Steady F1: 0.9456, Precision: 0.9346, Recall: 0.9596 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 12:35:53,841 - INFO - Macro F1: 0.9456 +2026-04-09 12:35:53,841 - INFO - Weighted F1: 0.9463 +2026-04-09 12:35:53,841 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6873 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Transition F1: 0.6538, Precision: 0.6826, Recall: 0.6616 +2026-04-09 12:35:53,841 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 12:35:53,841 - INFO - Macro F1: 0.6538 +2026-04-09 12:35:53,841 - INFO - Weighted F1: 0.6824 +2026-04-09 12:35:53,841 - INFO - +2026-04-09 12:35:53,841 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9035 +2026-04-09 12:35:53,841 - INFO - Horizon 0.1s - Overall F1: 0.9062, Precision: 0.9032, Recall: 0.9134 +2026-04-09 12:35:53,841 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 12:35:53,841 - INFO - Macro F1: 0.9062 +2026-04-09 12:35:53,841 - INFO - Weighted F1: 0.9038 +2026-04-09 12:35:53,841 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9488 +2026-04-09 12:35:53,841 - INFO - Horizon 0.1s - Steady F1: 0.9494, Precision: 0.9380, Recall: 0.9637 +2026-04-09 12:35:53,841 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 12:35:53,842 - INFO - Macro F1: 0.9494 +2026-04-09 12:35:53,842 - INFO - Weighted F1: 0.9493 +2026-04-09 12:35:53,842 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6974 +2026-04-09 12:35:53,842 - INFO - Horizon 0.1s - Transition F1: 0.6596, Precision: 0.6798, Recall: 0.6719 +2026-04-09 12:35:53,842 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 12:35:53,842 - INFO - Macro F1: 0.6596 +2026-04-09 12:35:53,842 - INFO - Weighted F1: 0.6963 +2026-04-09 12:35:53,842 - INFO - +2026-04-09 12:35:53,842 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8967 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Overall F1: 0.9004, Precision: 0.8970, Recall: 0.9109 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 12:35:53,842 - INFO - Macro F1: 0.9004 +2026-04-09 12:35:53,842 - INFO - Weighted F1: 0.8968 +2026-04-09 12:35:53,842 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9441 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Steady F1: 0.9449, Precision: 0.9334, Recall: 0.9603 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 12:35:53,842 - INFO - Macro F1: 0.9449 +2026-04-09 12:35:53,842 - INFO - Weighted F1: 0.9447 +2026-04-09 12:35:53,842 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6757 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Transition F1: 0.6649, Precision: 0.6797, Recall: 0.6872 +2026-04-09 12:35:53,842 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 12:35:53,842 - INFO - Macro F1: 0.6649 +2026-04-09 12:35:53,842 - INFO - Weighted F1: 0.6762 +2026-04-09 12:35:53,842 - INFO - +2026-04-09 12:35:53,842 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8965 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Overall F1: 0.9000, Precision: 0.8956, Recall: 0.9093 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.9000 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.8972 +2026-04-09 12:35:53,843 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9414 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Steady F1: 0.9401, Precision: 0.9299, Recall: 0.9540 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.9401 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.9420 +2026-04-09 12:35:53,843 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6923 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Transition F1: 0.6653, Precision: 0.6887, Recall: 0.6762 +2026-04-09 12:35:53,843 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.6653 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.6917 +2026-04-09 12:35:53,843 - INFO - +2026-04-09 12:35:53,843 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8908 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Overall F1: 0.8948, Precision: 0.8865, Recall: 0.9085 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.8948 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.8918 +2026-04-09 12:35:53,843 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9383 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Steady F1: 0.9365, Precision: 0.9237, Recall: 0.9534 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.9365 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.9391 +2026-04-09 12:35:53,843 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6707 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Transition F1: 0.6603, Precision: 0.6746, Recall: 0.6803 +2026-04-09 12:35:53,843 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 12:35:53,843 - INFO - Macro F1: 0.6603 +2026-04-09 12:35:53,843 - INFO - Weighted F1: 0.6647 +2026-04-09 12:35:53,843 - INFO - +2026-04-09 12:35:53,844 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8573 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Overall F1: 0.8650, Precision: 0.8646, Recall: 0.8713 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 12:35:53,844 - INFO - Macro F1: 0.8650 +2026-04-09 12:35:53,844 - INFO - Weighted F1: 0.8581 +2026-04-09 12:35:53,844 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9117 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Steady F1: 0.9081, Precision: 0.8992, Recall: 0.9218 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 12:35:53,844 - INFO - Macro F1: 0.9081 +2026-04-09 12:35:53,844 - INFO - Weighted F1: 0.9126 +2026-04-09 12:35:53,844 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5999 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Transition F1: 0.5945, Precision: 0.6464, Recall: 0.5790 +2026-04-09 12:35:53,844 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 12:35:53,844 - INFO - Macro F1: 0.5945 +2026-04-09 12:35:53,844 - INFO - Weighted F1: 0.6006 +2026-04-09 12:35:54,899 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_9.pt +2026-04-09 12:35:54,900 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,901 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 12:35:54,902 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,903 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,903 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 12:35:54,904 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,905 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,906 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 12:35:54,906 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,907 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,908 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 12:35:54,908 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,909 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,910 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 12:35:54,910 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,911 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,912 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 12:35:54,912 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,913 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,914 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 12:35:54,914 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,915 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,916 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 12:35:54,916 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,917 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,918 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 12:35:54,918 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,919 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,920 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 12:35:54,920 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,921 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,922 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 12:35:54,922 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,923 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,924 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 12:35:54,925 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,925 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,926 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 12:35:54,927 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,927 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,928 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 12:35:54,929 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,929 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,930 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 12:35:54,931 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,931 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_9.csv +2026-04-09 12:35:54,932 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 12:35:54,933 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 12:35:54,933 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_9.csv +2026-04-09 12:35:54,934 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 12:35:54,935 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 12:35:54,935 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_9.csv +2026-04-09 12:35:54,936 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 12:35:54,937 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 12:35:54,958 - INFO - Removed old checkpoint: checkpoint_epoch_8.pt +2026-04-09 12:35:56,039 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 12:35:56,052 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 12:35:56,194 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 12:35:56,195 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 12:35:56,196 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 12:35:56,198 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 12:35:56,199 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 12:35:56,200 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 12:35:56,201 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 12:35:56,201 - INFO - Epoch 10/50, Learning Rate: 0.000046 +2026-04-09 13:00:37,887 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 13:00:37,978 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:00:38,051 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 13:00:38,126 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:00:38,183 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 13:00:38,239 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 13:00:40,054 - INFO - Epoch 10/50: +2026-04-09 13:00:40,054 - INFO - Train: loss=0.6717, accuracy_overall=0.9305 +2026-04-09 13:00:40,054 - INFO - Horizon 0.0s: accuracy=0.9403 +2026-04-09 13:00:40,054 - INFO - Horizon 0.1s: accuracy=0.9444 +2026-04-09 13:00:40,054 - INFO - Horizon 0.2s: accuracy=0.9429 +2026-04-09 13:00:40,054 - INFO - Horizon 0.3s: accuracy=0.9367 +2026-04-09 13:00:40,055 - INFO - Horizon 0.5s: accuracy=0.9245 +2026-04-09 13:00:40,055 - INFO - Horizon 1.0s: accuracy=0.8943 +2026-04-09 13:00:40,055 - INFO - Val Horizon 0.0s - Overall: loss=0.7855, accuracy=0.8965 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Overall F1: 0.9010, Precision: 0.8838, Recall: 0.9214 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 13:00:40,055 - INFO - Macro F1: 0.9010 +2026-04-09 13:00:40,055 - INFO - Weighted F1: 0.8967 +2026-04-09 13:00:40,055 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9396 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Steady F1: 0.9424, Precision: 0.9239, Recall: 0.9646 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 13:00:40,055 - INFO - Macro F1: 0.9424 +2026-04-09 13:00:40,055 - INFO - Weighted F1: 0.9399 +2026-04-09 13:00:40,055 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6975 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Transition F1: 0.6807, Precision: 0.6473, Recall: 0.7256 +2026-04-09 13:00:40,055 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 13:00:40,055 - INFO - Macro F1: 0.6807 +2026-04-09 13:00:40,056 - INFO - Weighted F1: 0.6982 +2026-04-09 13:00:40,056 - INFO - +2026-04-09 13:00:40,056 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8984 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Overall F1: 0.9023, Precision: 0.8824, Recall: 0.9260 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 13:00:40,056 - INFO - Macro F1: 0.9023 +2026-04-09 13:00:40,056 - INFO - Weighted F1: 0.8987 +2026-04-09 13:00:40,056 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9391 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Steady F1: 0.9422, Precision: 0.9216, Recall: 0.9671 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 13:00:40,056 - INFO - Macro F1: 0.9422 +2026-04-09 13:00:40,056 - INFO - Weighted F1: 0.9396 +2026-04-09 13:00:40,056 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7131 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Transition F1: 0.6815, Precision: 0.6438, Recall: 0.7341 +2026-04-09 13:00:40,056 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 13:00:40,056 - INFO - Macro F1: 0.6815 +2026-04-09 13:00:40,057 - INFO - Weighted F1: 0.7132 +2026-04-09 13:00:40,057 - INFO - +2026-04-09 13:00:40,057 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8881 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Overall F1: 0.8959, Precision: 0.8766, Recall: 0.9200 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 13:00:40,057 - INFO - Macro F1: 0.8959 +2026-04-09 13:00:40,057 - INFO - Weighted F1: 0.8883 +2026-04-09 13:00:40,057 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9339 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Steady F1: 0.9386, Precision: 0.9173, Recall: 0.9651 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 13:00:40,057 - INFO - Macro F1: 0.9386 +2026-04-09 13:00:40,057 - INFO - Weighted F1: 0.9343 +2026-04-09 13:00:40,057 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6744 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Transition F1: 0.6732, Precision: 0.6364, Recall: 0.7280 +2026-04-09 13:00:40,057 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 13:00:40,058 - INFO - Macro F1: 0.6732 +2026-04-09 13:00:40,058 - INFO - Weighted F1: 0.6725 +2026-04-09 13:00:40,058 - INFO - +2026-04-09 13:00:40,058 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8855 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Overall F1: 0.8954, Precision: 0.8755, Recall: 0.9202 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 13:00:40,058 - INFO - Macro F1: 0.8954 +2026-04-09 13:00:40,058 - INFO - Weighted F1: 0.8860 +2026-04-09 13:00:40,058 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9292 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Steady F1: 0.9337, Precision: 0.9129, Recall: 0.9599 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 13:00:40,058 - INFO - Macro F1: 0.9337 +2026-04-09 13:00:40,058 - INFO - Weighted F1: 0.9298 +2026-04-09 13:00:40,058 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6866 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Transition F1: 0.6824, Precision: 0.6514, Recall: 0.7299 +2026-04-09 13:00:40,058 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 13:00:40,059 - INFO - Macro F1: 0.6824 +2026-04-09 13:00:40,059 - INFO - Weighted F1: 0.6818 +2026-04-09 13:00:40,059 - INFO - +2026-04-09 13:00:40,059 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8782 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Overall F1: 0.8896, Precision: 0.8735, Recall: 0.9102 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 13:00:40,059 - INFO - Macro F1: 0.8896 +2026-04-09 13:00:40,059 - INFO - Weighted F1: 0.8789 +2026-04-09 13:00:40,059 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9237 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Steady F1: 0.9280, Precision: 0.9075, Recall: 0.9544 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 13:00:40,059 - INFO - Macro F1: 0.9280 +2026-04-09 13:00:40,059 - INFO - Weighted F1: 0.9245 +2026-04-09 13:00:40,059 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6669 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Transition F1: 0.6731, Precision: 0.6565, Recall: 0.7039 +2026-04-09 13:00:40,059 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 13:00:40,060 - INFO - Macro F1: 0.6731 +2026-04-09 13:00:40,060 - INFO - Weighted F1: 0.6663 +2026-04-09 13:00:40,060 - INFO - +2026-04-09 13:00:40,060 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8497 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Overall F1: 0.8602, Precision: 0.8394, Recall: 0.8859 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 13:00:40,060 - INFO - Macro F1: 0.8602 +2026-04-09 13:00:40,060 - INFO - Weighted F1: 0.8512 +2026-04-09 13:00:40,060 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9029 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Steady F1: 0.9009, Precision: 0.8767, Recall: 0.9313 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 13:00:40,060 - INFO - Macro F1: 0.9009 +2026-04-09 13:00:40,060 - INFO - Weighted F1: 0.9039 +2026-04-09 13:00:40,060 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5979 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Transition F1: 0.6163, Precision: 0.6059, Recall: 0.6456 +2026-04-09 13:00:40,060 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 13:00:40,061 - INFO - Macro F1: 0.6163 +2026-04-09 13:00:40,061 - INFO - Weighted F1: 0.5952 +2026-04-09 13:00:41,210 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_10.pt +2026-04-09 13:00:41,213 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,213 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,214 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,215 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,216 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,217 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,217 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,218 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,219 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,220 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,220 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,221 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,222 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,223 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,223 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,224 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_10.csv +2026-04-09 13:00:41,225 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_10.csv +2026-04-09 13:00:41,226 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_10.csv +2026-04-09 13:00:41,263 - INFO - Removed old checkpoint: checkpoint_epoch_9.pt +2026-04-09 13:00:41,264 - INFO - Epoch 11/50, Learning Rate: 0.000045 +2026-04-09 13:22:28,543 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 13:22:28,610 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:22:28,669 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 13:22:28,728 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:22:28,788 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 13:22:28,846 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 13:22:30,688 - INFO - Epoch 11/50: +2026-04-09 13:22:30,689 - INFO - Train: loss=0.6766, accuracy_overall=0.9282 +2026-04-09 13:22:30,689 - INFO - Horizon 0.0s: accuracy=0.9387 +2026-04-09 13:22:30,689 - INFO - Horizon 0.1s: accuracy=0.9411 +2026-04-09 13:22:30,689 - INFO - Horizon 0.2s: accuracy=0.9396 +2026-04-09 13:22:30,689 - INFO - Horizon 0.3s: accuracy=0.9418 +2026-04-09 13:22:30,689 - INFO - Horizon 0.5s: accuracy=0.9220 +2026-04-09 13:22:30,689 - INFO - Horizon 1.0s: accuracy=0.8860 +2026-04-09 13:22:30,689 - INFO - Val Horizon 0.0s - Overall: loss=0.8145, accuracy=0.8856 +2026-04-09 13:22:30,689 - INFO - Horizon 0.0s - Overall F1: 0.8952, Precision: 0.8893, Recall: 0.9098 +2026-04-09 13:22:30,690 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 13:22:30,690 - INFO - Macro F1: 0.8952 +2026-04-09 13:22:30,690 - INFO - Weighted F1: 0.8863 +2026-04-09 13:22:30,690 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9321 +2026-04-09 13:22:30,690 - INFO - Horizon 0.0s - Steady F1: 0.9374, Precision: 0.9314, Recall: 0.9484 +2026-04-09 13:22:30,690 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 13:22:30,690 - INFO - Macro F1: 0.9374 +2026-04-09 13:22:30,690 - INFO - Weighted F1: 0.9326 +2026-04-09 13:22:30,690 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6707 +2026-04-09 13:22:30,690 - INFO - Horizon 0.0s - Transition F1: 0.6723, Precision: 0.6647, Recall: 0.7103 +2026-04-09 13:22:30,690 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 13:22:30,690 - INFO - Macro F1: 0.6723 +2026-04-09 13:22:30,690 - INFO - Weighted F1: 0.6726 +2026-04-09 13:22:30,690 - INFO - +2026-04-09 13:22:30,690 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8815 +2026-04-09 13:22:30,690 - INFO - Horizon 0.1s - Overall F1: 0.8911, Precision: 0.8834, Recall: 0.9081 +2026-04-09 13:22:30,691 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 13:22:30,691 - INFO - Macro F1: 0.8911 +2026-04-09 13:22:30,691 - INFO - Weighted F1: 0.8824 +2026-04-09 13:22:30,691 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9322 +2026-04-09 13:22:30,691 - INFO - Horizon 0.1s - Steady F1: 0.9378, Precision: 0.9289, Recall: 0.9519 +2026-04-09 13:22:30,691 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 13:22:30,691 - INFO - Macro F1: 0.9378 +2026-04-09 13:22:30,691 - INFO - Weighted F1: 0.9328 +2026-04-09 13:22:30,691 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6507 +2026-04-09 13:22:30,691 - INFO - Horizon 0.1s - Transition F1: 0.6668, Precision: 0.6546, Recall: 0.7078 +2026-04-09 13:22:30,691 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 13:22:30,691 - INFO - Macro F1: 0.6668 +2026-04-09 13:22:30,691 - INFO - Weighted F1: 0.6528 +2026-04-09 13:22:30,691 - INFO - +2026-04-09 13:22:30,691 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8786 +2026-04-09 13:22:30,691 - INFO - Horizon 0.2s - Overall F1: 0.8889, Precision: 0.8844, Recall: 0.9020 +2026-04-09 13:22:30,692 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 13:22:30,692 - INFO - Macro F1: 0.8889 +2026-04-09 13:22:30,692 - INFO - Weighted F1: 0.8796 +2026-04-09 13:22:30,692 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9299 +2026-04-09 13:22:30,692 - INFO - Horizon 0.2s - Steady F1: 0.9359, Precision: 0.9265, Recall: 0.9504 +2026-04-09 13:22:30,692 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 13:22:30,692 - INFO - Macro F1: 0.9359 +2026-04-09 13:22:30,692 - INFO - Weighted F1: 0.9306 +2026-04-09 13:22:30,692 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6396 +2026-04-09 13:22:30,692 - INFO - Horizon 0.2s - Transition F1: 0.6661, Precision: 0.6741, Recall: 0.6833 +2026-04-09 13:22:30,692 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 13:22:30,692 - INFO - Macro F1: 0.6661 +2026-04-09 13:22:30,692 - INFO - Weighted F1: 0.6448 +2026-04-09 13:22:30,692 - INFO - +2026-04-09 13:22:30,692 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8760 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Overall F1: 0.8871, Precision: 0.8767, Recall: 0.9050 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 13:22:30,693 - INFO - Macro F1: 0.8871 +2026-04-09 13:22:30,693 - INFO - Weighted F1: 0.8771 +2026-04-09 13:22:30,693 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9264 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Steady F1: 0.9298, Precision: 0.9205, Recall: 0.9444 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 13:22:30,693 - INFO - Macro F1: 0.9298 +2026-04-09 13:22:30,693 - INFO - Weighted F1: 0.9271 +2026-04-09 13:22:30,693 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6469 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Transition F1: 0.6895, Precision: 0.6815, Recall: 0.7207 +2026-04-09 13:22:30,693 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 13:22:30,693 - INFO - Macro F1: 0.6895 +2026-04-09 13:22:30,693 - INFO - Weighted F1: 0.6475 +2026-04-09 13:22:30,694 - INFO - +2026-04-09 13:22:30,694 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8635 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Overall F1: 0.8742, Precision: 0.8684, Recall: 0.8870 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 13:22:30,694 - INFO - Macro F1: 0.8742 +2026-04-09 13:22:30,694 - INFO - Weighted F1: 0.8651 +2026-04-09 13:22:30,694 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9204 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Steady F1: 0.9215, Precision: 0.9115, Recall: 0.9361 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 13:22:30,694 - INFO - Macro F1: 0.9215 +2026-04-09 13:22:30,694 - INFO - Weighted F1: 0.9211 +2026-04-09 13:22:30,694 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5996 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Transition F1: 0.6353, Precision: 0.6552, Recall: 0.6322 +2026-04-09 13:22:30,694 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 13:22:30,694 - INFO - Macro F1: 0.6353 +2026-04-09 13:22:30,694 - INFO - Weighted F1: 0.5962 +2026-04-09 13:22:30,694 - INFO - +2026-04-09 13:22:30,694 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8360 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Overall F1: 0.8481, Precision: 0.8540, Recall: 0.8498 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 13:22:30,695 - INFO - Macro F1: 0.8481 +2026-04-09 13:22:30,695 - INFO - Weighted F1: 0.8378 +2026-04-09 13:22:30,695 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8976 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Steady F1: 0.8961, Precision: 0.8880, Recall: 0.9080 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 13:22:30,695 - INFO - Macro F1: 0.8961 +2026-04-09 13:22:30,695 - INFO - Weighted F1: 0.8988 +2026-04-09 13:22:30,695 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5452 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Transition F1: 0.5357, Precision: 0.6140, Recall: 0.5124 +2026-04-09 13:22:30,695 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 13:22:30,695 - INFO - Macro F1: 0.5357 +2026-04-09 13:22:30,695 - INFO - Weighted F1: 0.5365 +2026-04-09 13:22:31,832 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_11.pt +2026-04-09 13:22:31,834 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,835 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,836 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,837 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,838 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,838 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,839 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,840 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,841 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,841 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,842 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,843 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,844 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,844 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,845 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,846 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_11.csv +2026-04-09 13:22:31,847 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_11.csv +2026-04-09 13:22:31,848 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_11.csv +2026-04-09 13:22:31,870 - INFO - Removed old checkpoint: checkpoint_epoch_10.pt +2026-04-09 13:22:31,872 - INFO - Epoch 12/50, Learning Rate: 0.000044 +2026-04-09 13:46:22,974 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 13:46:23,048 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:46:23,109 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 13:46:23,178 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 13:46:23,245 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 13:46:23,311 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 13:46:25,260 - INFO - Epoch 12/50: +2026-04-09 13:46:25,261 - INFO - Train: loss=0.6712, accuracy_overall=0.9314 +2026-04-09 13:46:25,261 - INFO - Horizon 0.0s: accuracy=0.9498 +2026-04-09 13:46:25,261 - INFO - Horizon 0.1s: accuracy=0.9461 +2026-04-09 13:46:25,261 - INFO - Horizon 0.2s: accuracy=0.9395 +2026-04-09 13:46:25,262 - INFO - Horizon 0.3s: accuracy=0.9339 +2026-04-09 13:46:25,262 - INFO - Horizon 0.5s: accuracy=0.9245 +2026-04-09 13:46:25,262 - INFO - Horizon 1.0s: accuracy=0.8944 +2026-04-09 13:46:25,262 - INFO - Val Horizon 0.0s - Overall: loss=0.7851, accuracy=0.8951 +2026-04-09 13:46:25,262 - INFO - Horizon 0.0s - Overall F1: 0.8924, Precision: 0.8930, Recall: 0.9013 +2026-04-09 13:46:25,262 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 13:46:25,262 - INFO - Macro F1: 0.8924 +2026-04-09 13:46:25,263 - INFO - Weighted F1: 0.8961 +2026-04-09 13:46:25,263 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9400 +2026-04-09 13:46:25,263 - INFO - Horizon 0.0s - Steady F1: 0.9394, Precision: 0.9338, Recall: 0.9525 +2026-04-09 13:46:25,263 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 13:46:25,263 - INFO - Macro F1: 0.9394 +2026-04-09 13:46:25,263 - INFO - Weighted F1: 0.9412 +2026-04-09 13:46:25,263 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6879 +2026-04-09 13:46:25,264 - INFO - Horizon 0.0s - Transition F1: 0.6425, Precision: 0.6615, Recall: 0.6530 +2026-04-09 13:46:25,264 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 13:46:25,264 - INFO - Macro F1: 0.6425 +2026-04-09 13:46:25,264 - INFO - Weighted F1: 0.6911 +2026-04-09 13:46:25,264 - INFO - +2026-04-09 13:46:25,264 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8970 +2026-04-09 13:46:25,264 - INFO - Horizon 0.1s - Overall F1: 0.8968, Precision: 0.8924, Recall: 0.9114 +2026-04-09 13:46:25,264 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 13:46:25,264 - INFO - Macro F1: 0.8968 +2026-04-09 13:46:25,264 - INFO - Weighted F1: 0.8983 +2026-04-09 13:46:25,264 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9379 +2026-04-09 13:46:25,264 - INFO - Horizon 0.1s - Steady F1: 0.9388, Precision: 0.9300, Recall: 0.9560 +2026-04-09 13:46:25,264 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 13:46:25,264 - INFO - Macro F1: 0.9388 +2026-04-09 13:46:25,264 - INFO - Weighted F1: 0.9396 +2026-04-09 13:46:25,264 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7112 +2026-04-09 13:46:25,265 - INFO - Horizon 0.1s - Transition F1: 0.6708, Precision: 0.6710, Recall: 0.6983 +2026-04-09 13:46:25,265 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 13:46:25,265 - INFO - Macro F1: 0.6708 +2026-04-09 13:46:25,265 - INFO - Weighted F1: 0.7128 +2026-04-09 13:46:25,265 - INFO - +2026-04-09 13:46:25,265 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8869 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Overall F1: 0.8871, Precision: 0.8803, Recall: 0.9037 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 13:46:25,265 - INFO - Macro F1: 0.8871 +2026-04-09 13:46:25,265 - INFO - Weighted F1: 0.8885 +2026-04-09 13:46:25,265 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9333 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Steady F1: 0.9342, Precision: 0.9224, Recall: 0.9553 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 13:46:25,265 - INFO - Macro F1: 0.9342 +2026-04-09 13:46:25,265 - INFO - Weighted F1: 0.9354 +2026-04-09 13:46:25,265 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6705 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Transition F1: 0.6424, Precision: 0.6450, Recall: 0.6654 +2026-04-09 13:46:25,265 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 13:46:25,265 - INFO - Macro F1: 0.6424 +2026-04-09 13:46:25,265 - INFO - Weighted F1: 0.6718 +2026-04-09 13:46:25,265 - INFO - +2026-04-09 13:46:25,265 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8848 +2026-04-09 13:46:25,265 - INFO - Horizon 0.3s - Overall F1: 0.8843, Precision: 0.8724, Recall: 0.9048 +2026-04-09 13:46:25,265 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 13:46:25,265 - INFO - Macro F1: 0.8843 +2026-04-09 13:46:25,265 - INFO - Weighted F1: 0.8862 +2026-04-09 13:46:25,265 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9307 +2026-04-09 13:46:25,266 - INFO - Horizon 0.3s - Steady F1: 0.9288, Precision: 0.9146, Recall: 0.9509 +2026-04-09 13:46:25,266 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.9288 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.9325 +2026-04-09 13:46:25,266 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6759 +2026-04-09 13:46:25,266 - INFO - Horizon 0.3s - Transition F1: 0.6532, Precision: 0.6384, Recall: 0.6893 +2026-04-09 13:46:25,266 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.6532 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.6767 +2026-04-09 13:46:25,266 - INFO - +2026-04-09 13:46:25,266 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8742 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Overall F1: 0.8727, Precision: 0.8656, Recall: 0.8862 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.8727 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.8756 +2026-04-09 13:46:25,266 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9217 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Steady F1: 0.9178, Precision: 0.9066, Recall: 0.9364 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.9178 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.9235 +2026-04-09 13:46:25,266 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6541 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Transition F1: 0.6277, Precision: 0.6330, Recall: 0.6379 +2026-04-09 13:46:25,266 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.6277 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.6544 +2026-04-09 13:46:25,266 - INFO - +2026-04-09 13:46:25,266 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8475 +2026-04-09 13:46:25,266 - INFO - Horizon 1.0s - Overall F1: 0.8471, Precision: 0.8359, Recall: 0.8640 +2026-04-09 13:46:25,266 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 13:46:25,266 - INFO - Macro F1: 0.8471 +2026-04-09 13:46:25,266 - INFO - Weighted F1: 0.8486 +2026-04-09 13:46:25,266 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9009 +2026-04-09 13:46:25,267 - INFO - Horizon 1.0s - Steady F1: 0.8919, Precision: 0.8757, Recall: 0.9142 +2026-04-09 13:46:25,267 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 13:46:25,267 - INFO - Macro F1: 0.8919 +2026-04-09 13:46:25,267 - INFO - Weighted F1: 0.9017 +2026-04-09 13:46:25,267 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5953 +2026-04-09 13:46:25,267 - INFO - Horizon 1.0s - Transition F1: 0.5812, Precision: 0.5898, Recall: 0.5944 +2026-04-09 13:46:25,267 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 13:46:25,267 - INFO - Macro F1: 0.5812 +2026-04-09 13:46:25,267 - INFO - Weighted F1: 0.5946 +2026-04-09 13:46:26,433 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_12.pt +2026-04-09 13:46:26,435 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,435 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,436 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,437 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,438 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,439 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,440 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,440 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,441 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,442 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,443 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,444 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,445 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,446 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,446 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,447 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_12.csv +2026-04-09 13:46:26,448 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_12.csv +2026-04-09 13:46:26,449 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_12.csv +2026-04-09 13:46:26,471 - INFO - Removed old checkpoint: checkpoint_epoch_11.pt +2026-04-09 13:46:26,472 - INFO - Epoch 13/50, Learning Rate: 0.000043 +2026-04-09 14:13:16,096 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 14:13:16,169 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 14:13:16,232 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 14:13:16,296 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 14:13:16,363 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 14:13:16,423 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 14:13:18,538 - INFO - Epoch 13/50: +2026-04-09 14:13:18,539 - INFO - Train: loss=0.6649, accuracy_overall=0.9337 +2026-04-09 14:13:18,539 - INFO - Horizon 0.0s: accuracy=0.9462 +2026-04-09 14:13:18,539 - INFO - Horizon 0.1s: accuracy=0.9438 +2026-04-09 14:13:18,539 - INFO - Horizon 0.2s: accuracy=0.9438 +2026-04-09 14:13:18,539 - INFO - Horizon 0.3s: accuracy=0.9394 +2026-04-09 14:13:18,539 - INFO - Horizon 0.5s: accuracy=0.9305 +2026-04-09 14:13:18,539 - INFO - Horizon 1.0s: accuracy=0.8983 +2026-04-09 14:13:18,540 - INFO - Val Horizon 0.0s - Overall: loss=0.7332, accuracy=0.9106 +2026-04-09 14:13:18,540 - INFO - Horizon 0.0s - Overall F1: 0.9123, Precision: 0.9013, Recall: 0.9269 +2026-04-09 14:13:18,540 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 14:13:18,540 - INFO - Macro F1: 0.9123 +2026-04-09 14:13:18,540 - INFO - Weighted F1: 0.9107 +2026-04-09 14:13:18,540 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9567 +2026-04-09 14:13:18,540 - INFO - Horizon 0.0s - Steady F1: 0.9577, Precision: 0.9474, Recall: 0.9697 +2026-04-09 14:13:18,540 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 14:13:18,540 - INFO - Macro F1: 0.9577 +2026-04-09 14:13:18,540 - INFO - Weighted F1: 0.9568 +2026-04-09 14:13:18,540 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6975 +2026-04-09 14:13:18,540 - INFO - Horizon 0.0s - Transition F1: 0.6825, Precision: 0.6709, Recall: 0.7254 +2026-04-09 14:13:18,541 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 14:13:18,541 - INFO - Macro F1: 0.6825 +2026-04-09 14:13:18,541 - INFO - Weighted F1: 0.6906 +2026-04-09 14:13:18,541 - INFO - +2026-04-09 14:13:18,541 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9077 +2026-04-09 14:13:18,541 - INFO - Horizon 0.1s - Overall F1: 0.9093, Precision: 0.8957, Recall: 0.9270 +2026-04-09 14:13:18,541 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 14:13:18,541 - INFO - Macro F1: 0.9093 +2026-04-09 14:13:18,541 - INFO - Weighted F1: 0.9080 +2026-04-09 14:13:18,541 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9540 +2026-04-09 14:13:18,541 - INFO - Horizon 0.1s - Steady F1: 0.9547, Precision: 0.9399, Recall: 0.9721 +2026-04-09 14:13:18,541 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 14:13:18,542 - INFO - Macro F1: 0.9547 +2026-04-09 14:13:18,542 - INFO - Weighted F1: 0.9543 +2026-04-09 14:13:18,542 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6974 +2026-04-09 14:13:18,542 - INFO - Horizon 0.1s - Transition F1: 0.6631, Precision: 0.6430, Recall: 0.7105 +2026-04-09 14:13:18,542 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 14:13:18,542 - INFO - Macro F1: 0.6631 +2026-04-09 14:13:18,542 - INFO - Weighted F1: 0.6899 +2026-04-09 14:13:18,542 - INFO - +2026-04-09 14:13:18,542 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9076 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Overall F1: 0.9115, Precision: 0.9017, Recall: 0.9240 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 14:13:18,542 - INFO - Macro F1: 0.9115 +2026-04-09 14:13:18,542 - INFO - Weighted F1: 0.9077 +2026-04-09 14:13:18,542 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9532 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Steady F1: 0.9539, Precision: 0.9415, Recall: 0.9687 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 14:13:18,542 - INFO - Macro F1: 0.9539 +2026-04-09 14:13:18,542 - INFO - Weighted F1: 0.9535 +2026-04-09 14:13:18,542 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6950 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Transition F1: 0.6832, Precision: 0.6713, Recall: 0.7150 +2026-04-09 14:13:18,542 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 14:13:18,543 - INFO - Macro F1: 0.6832 +2026-04-09 14:13:18,543 - INFO - Weighted F1: 0.6920 +2026-04-09 14:13:18,543 - INFO - +2026-04-09 14:13:18,543 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9052 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Overall F1: 0.9082, Precision: 0.8994, Recall: 0.9182 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 14:13:18,543 - INFO - Macro F1: 0.9082 +2026-04-09 14:13:18,543 - INFO - Weighted F1: 0.9052 +2026-04-09 14:13:18,543 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9507 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Steady F1: 0.9497, Precision: 0.9390, Recall: 0.9624 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 14:13:18,543 - INFO - Macro F1: 0.9497 +2026-04-09 14:13:18,543 - INFO - Weighted F1: 0.9509 +2026-04-09 14:13:18,543 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6986 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Transition F1: 0.6965, Precision: 0.6743, Recall: 0.7267 +2026-04-09 14:13:18,543 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 14:13:18,543 - INFO - Macro F1: 0.6965 +2026-04-09 14:13:18,543 - INFO - Weighted F1: 0.6976 +2026-04-09 14:13:18,543 - INFO - +2026-04-09 14:13:18,543 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8966 +2026-04-09 14:13:18,543 - INFO - Horizon 0.5s - Overall F1: 0.8980, Precision: 0.8990, Recall: 0.8997 +2026-04-09 14:13:18,543 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 14:13:18,544 - INFO - Macro F1: 0.8980 +2026-04-09 14:13:18,544 - INFO - Weighted F1: 0.8956 +2026-04-09 14:13:18,544 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9472 +2026-04-09 14:13:18,544 - INFO - Horizon 0.5s - Steady F1: 0.9442, Precision: 0.9388, Recall: 0.9512 +2026-04-09 14:13:18,544 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 14:13:18,544 - INFO - Macro F1: 0.9442 +2026-04-09 14:13:18,544 - INFO - Weighted F1: 0.9473 +2026-04-09 14:13:18,544 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6618 +2026-04-09 14:13:18,544 - INFO - Horizon 0.5s - Transition F1: 0.6607, Precision: 0.6654, Recall: 0.6779 +2026-04-09 14:13:18,544 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 14:13:18,544 - INFO - Macro F1: 0.6607 +2026-04-09 14:13:18,544 - INFO - Weighted F1: 0.6618 +2026-04-09 14:13:18,544 - INFO - +2026-04-09 14:13:18,544 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8670 +2026-04-09 14:13:18,544 - INFO - Horizon 1.0s - Overall F1: 0.8713, Precision: 0.8773, Recall: 0.8674 +2026-04-09 14:13:18,544 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 14:13:18,544 - INFO - Macro F1: 0.8713 +2026-04-09 14:13:18,544 - INFO - Weighted F1: 0.8670 +2026-04-09 14:13:18,544 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9226 +2026-04-09 14:13:18,544 - INFO - Horizon 1.0s - Steady F1: 0.9126, Precision: 0.9094, Recall: 0.9176 +2026-04-09 14:13:18,544 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 14:13:18,544 - INFO - Macro F1: 0.9126 +2026-04-09 14:13:18,545 - INFO - Weighted F1: 0.9230 +2026-04-09 14:13:18,545 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6044 +2026-04-09 14:13:18,545 - INFO - Horizon 1.0s - Transition F1: 0.5992, Precision: 0.6639, Recall: 0.5791 +2026-04-09 14:13:18,545 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 14:13:18,545 - INFO - Macro F1: 0.5992 +2026-04-09 14:13:18,545 - INFO - Weighted F1: 0.6028 +2026-04-09 14:13:19,699 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_13.pt +2026-04-09 14:13:19,701 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_13.csv +2026-04-09 14:13:19,702 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 14:13:19,703 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 14:13:19,703 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_13.csv +2026-04-09 14:13:19,704 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 14:13:19,705 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 14:13:19,705 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_13.csv +2026-04-09 14:13:19,706 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 14:13:19,707 - INFO - Saved 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INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_13.csv +2026-04-09 14:13:19,711 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 14:13:19,711 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 14:13:19,712 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_13.csv +2026-04-09 14:13:19,713 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 14:13:19,713 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 14:13:19,715 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_13.csv +2026-04-09 14:13:19,715 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 14:13:19,716 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 14:13:19,717 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_13.csv +2026-04-09 14:13:19,717 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 14:13:19,718 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 14:13:19,719 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_13.csv +2026-04-09 14:13:19,720 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 14:13:19,720 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 14:13:19,721 - INFO - 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14:13:19,727 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 14:13:19,728 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_13.csv +2026-04-09 14:13:19,729 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 14:13:19,730 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 14:13:19,731 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_13.csv +2026-04-09 14:13:19,731 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 14:13:19,732 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 14:13:19,733 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_13.csv +2026-04-09 14:13:19,734 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 14:13:19,734 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 14:13:19,735 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_13.csv +2026-04-09 14:13:19,736 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 14:13:19,737 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 14:13:19,737 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_13.csv +2026-04-09 14:13:19,738 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 14:13:19,739 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 14:13:19,740 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_13.csv +2026-04-09 14:13:19,740 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 14:13:19,741 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 14:13:19,763 - INFO - Removed old checkpoint: checkpoint_epoch_12.pt +2026-04-09 14:13:20,799 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 14:13:20,817 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 14:13:20,974 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 14:13:20,975 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 14:13:20,976 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 14:13:20,977 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 14:13:20,978 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 14:13:20,980 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 14:13:20,981 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 14:13:20,981 - INFO - Epoch 14/50, Learning Rate: 0.000042 +2026-04-09 14:40:02,704 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 14:40:02,785 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 14:40:02,854 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 14:40:02,918 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 14:40:02,989 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 14:40:03,058 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 14:40:05,397 - INFO - Epoch 14/50: +2026-04-09 14:40:05,398 - INFO - Train: loss=0.6665, accuracy_overall=0.9329 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s: accuracy=0.9446 +2026-04-09 14:40:05,398 - INFO - Horizon 0.1s: accuracy=0.9436 +2026-04-09 14:40:05,398 - INFO - Horizon 0.2s: accuracy=0.9407 +2026-04-09 14:40:05,398 - INFO - Horizon 0.3s: accuracy=0.9408 +2026-04-09 14:40:05,398 - INFO - Horizon 0.5s: accuracy=0.9309 +2026-04-09 14:40:05,398 - INFO - Horizon 1.0s: accuracy=0.8966 +2026-04-09 14:40:05,398 - INFO - Val Horizon 0.0s - Overall: loss=0.7591, accuracy=0.9025 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Overall F1: 0.9060, Precision: 0.8910, Recall: 0.9243 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 14:40:05,398 - INFO - Macro F1: 0.9060 +2026-04-09 14:40:05,398 - INFO - Weighted F1: 0.9028 +2026-04-09 14:40:05,398 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9483 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Steady F1: 0.9488, Precision: 0.9340, Recall: 0.9657 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 14:40:05,398 - INFO - Macro F1: 0.9488 +2026-04-09 14:40:05,398 - INFO - Weighted F1: 0.9485 +2026-04-09 14:40:05,398 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6911 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Transition F1: 0.6681, Precision: 0.6500, Recall: 0.7004 +2026-04-09 14:40:05,398 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.6681 +2026-04-09 14:40:05,399 - INFO - Weighted F1: 0.6860 +2026-04-09 14:40:05,399 - INFO - +2026-04-09 14:40:05,399 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9020 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Overall F1: 0.9045, Precision: 0.8919, Recall: 0.9213 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.9045 +2026-04-09 14:40:05,399 - INFO - Weighted F1: 0.9022 +2026-04-09 14:40:05,399 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9465 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Steady F1: 0.9471, Precision: 0.9325, Recall: 0.9648 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.9471 +2026-04-09 14:40:05,399 - INFO - Weighted F1: 0.9469 +2026-04-09 14:40:05,399 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6999 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Transition F1: 0.6633, Precision: 0.6466, Recall: 0.6979 +2026-04-09 14:40:05,399 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.6633 +2026-04-09 14:40:05,399 - INFO - Weighted F1: 0.6982 +2026-04-09 14:40:05,399 - INFO - +2026-04-09 14:40:05,399 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8960 +2026-04-09 14:40:05,399 - INFO - Horizon 0.2s - Overall F1: 0.8975, Precision: 0.8886, Recall: 0.9130 +2026-04-09 14:40:05,399 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.8975 +2026-04-09 14:40:05,399 - INFO - Weighted F1: 0.8959 +2026-04-09 14:40:05,399 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9434 +2026-04-09 14:40:05,399 - INFO - Horizon 0.2s - Steady F1: 0.9427, Precision: 0.9294, Recall: 0.9597 +2026-04-09 14:40:05,399 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 14:40:05,399 - INFO - Macro F1: 0.9427 +2026-04-09 14:40:05,400 - INFO - Weighted F1: 0.9439 +2026-04-09 14:40:05,400 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6750 +2026-04-09 14:40:05,400 - INFO - Horizon 0.2s - Transition F1: 0.6583, Precision: 0.6499, Recall: 0.6925 +2026-04-09 14:40:05,400 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 14:40:05,400 - INFO - Macro F1: 0.6583 +2026-04-09 14:40:05,400 - INFO - Weighted F1: 0.6721 +2026-04-09 14:40:05,400 - INFO - +2026-04-09 14:40:05,400 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8910 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Overall F1: 0.8938, Precision: 0.8855, Recall: 0.9086 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 14:40:05,400 - INFO - Macro F1: 0.8938 +2026-04-09 14:40:05,400 - INFO - Weighted F1: 0.8909 +2026-04-09 14:40:05,400 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9385 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Steady F1: 0.9366, Precision: 0.9233, Recall: 0.9542 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 14:40:05,400 - INFO - Macro F1: 0.9366 +2026-04-09 14:40:05,400 - INFO - Weighted F1: 0.9390 +2026-04-09 14:40:05,400 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6753 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Transition F1: 0.6661, Precision: 0.6652, Recall: 0.6924 +2026-04-09 14:40:05,400 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 14:40:05,400 - INFO - Macro F1: 0.6661 +2026-04-09 14:40:05,400 - INFO - Weighted F1: 0.6712 +2026-04-09 14:40:05,400 - INFO - +2026-04-09 14:40:05,400 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8881 +2026-04-09 14:40:05,400 - INFO - Horizon 0.5s - Overall F1: 0.8913, Precision: 0.8873, Recall: 0.9019 +2026-04-09 14:40:05,401 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 14:40:05,401 - INFO - Macro F1: 0.8913 +2026-04-09 14:40:05,401 - INFO - Weighted F1: 0.8882 +2026-04-09 14:40:05,401 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9348 +2026-04-09 14:40:05,401 - INFO - Horizon 0.5s - Steady F1: 0.9321, Precision: 0.9199, Recall: 0.9489 +2026-04-09 14:40:05,401 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 14:40:05,401 - INFO - Macro F1: 0.9321 +2026-04-09 14:40:05,401 - INFO - Weighted F1: 0.9355 +2026-04-09 14:40:05,401 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6714 +2026-04-09 14:40:05,401 - INFO - Horizon 0.5s - Transition F1: 0.6544, Precision: 0.6798, Recall: 0.6558 +2026-04-09 14:40:05,401 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 14:40:05,401 - INFO - Macro F1: 0.6544 +2026-04-09 14:40:05,401 - INFO - Weighted F1: 0.6663 +2026-04-09 14:40:05,401 - INFO - +2026-04-09 14:40:05,401 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8536 +2026-04-09 14:40:05,401 - INFO - Horizon 1.0s - Overall F1: 0.8600, Precision: 0.8666, Recall: 0.8579 +2026-04-09 14:40:05,401 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 14:40:05,401 - INFO - Macro F1: 0.8600 +2026-04-09 14:40:05,401 - INFO - Weighted F1: 0.8523 +2026-04-09 14:40:05,401 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9111 +2026-04-09 14:40:05,401 - INFO - Horizon 1.0s - Steady F1: 0.9044, Precision: 0.9023, Recall: 0.9093 +2026-04-09 14:40:05,401 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 14:40:05,401 - INFO - Macro F1: 0.9044 +2026-04-09 14:40:05,401 - INFO - Weighted F1: 0.9109 +2026-04-09 14:40:05,402 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5823 +2026-04-09 14:40:05,402 - INFO - Horizon 1.0s - Transition F1: 0.5936, Precision: 0.6458, Recall: 0.5749 +2026-04-09 14:40:05,402 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 14:40:05,402 - INFO - Macro F1: 0.5936 +2026-04-09 14:40:05,402 - INFO - Weighted F1: 0.5786 +2026-04-09 14:40:06,673 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_14.pt +2026-04-09 14:40:06,675 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,676 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,676 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,677 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,678 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,679 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,680 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,680 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,681 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,682 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,683 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,683 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,684 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,685 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,686 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,686 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_14.csv +2026-04-09 14:40:06,687 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_14.csv +2026-04-09 14:40:06,688 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_14.csv +2026-04-09 14:40:06,699 - INFO - Removed old checkpoint: checkpoint_epoch_13.pt +2026-04-09 14:40:06,699 - INFO - Epoch 15/50, Learning Rate: 0.000041 +2026-04-09 15:04:25,683 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 15:04:25,758 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:04:25,816 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 15:04:25,880 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:04:25,937 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 15:04:26,004 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 15:04:28,331 - INFO - Epoch 15/50: +2026-04-09 15:04:28,331 - INFO - Train: loss=0.6587, accuracy_overall=0.9357 +2026-04-09 15:04:28,331 - INFO - Horizon 0.0s: accuracy=0.9442 +2026-04-09 15:04:28,332 - INFO - Horizon 0.1s: accuracy=0.9470 +2026-04-09 15:04:28,332 - INFO - Horizon 0.2s: accuracy=0.9432 +2026-04-09 15:04:28,332 - INFO - Horizon 0.3s: accuracy=0.9411 +2026-04-09 15:04:28,332 - INFO - Horizon 0.5s: accuracy=0.9310 +2026-04-09 15:04:28,332 - INFO - Horizon 1.0s: accuracy=0.9078 +2026-04-09 15:04:28,332 - INFO - Val Horizon 0.0s - Overall: loss=0.7493, accuracy=0.9043 +2026-04-09 15:04:28,332 - INFO - Horizon 0.0s - Overall F1: 0.9093, Precision: 0.9118, Recall: 0.9102 +2026-04-09 15:04:28,332 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 15:04:28,332 - INFO - Macro F1: 0.9093 +2026-04-09 15:04:28,332 - INFO - Weighted F1: 0.9045 +2026-04-09 15:04:28,332 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9486 +2026-04-09 15:04:28,332 - INFO - Horizon 0.0s - Steady F1: 0.9507, Precision: 0.9484, Recall: 0.9552 +2026-04-09 15:04:28,333 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 15:04:28,333 - INFO - Macro F1: 0.9507 +2026-04-09 15:04:28,333 - INFO - Weighted F1: 0.9487 +2026-04-09 15:04:28,333 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7001 +2026-04-09 15:04:28,333 - INFO - Horizon 0.0s - Transition F1: 0.6597, Precision: 0.7122, Recall: 0.6559 +2026-04-09 15:04:28,333 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 15:04:28,333 - INFO - Macro F1: 0.6597 +2026-04-09 15:04:28,333 - INFO - Weighted F1: 0.6946 +2026-04-09 15:04:28,333 - INFO - +2026-04-09 15:04:28,333 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9019 +2026-04-09 15:04:28,333 - INFO - Horizon 0.1s - Overall F1: 0.9061, Precision: 0.9065, Recall: 0.9092 +2026-04-09 15:04:28,333 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 15:04:28,333 - INFO - Macro F1: 0.9061 +2026-04-09 15:04:28,333 - INFO - Weighted F1: 0.9022 +2026-04-09 15:04:28,333 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9459 +2026-04-09 15:04:28,333 - INFO - Horizon 0.1s - Steady F1: 0.9480, Precision: 0.9432, Recall: 0.9557 +2026-04-09 15:04:28,333 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 15:04:28,334 - INFO - Macro F1: 0.9480 +2026-04-09 15:04:28,334 - INFO - Weighted F1: 0.9462 +2026-04-09 15:04:28,334 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7018 +2026-04-09 15:04:28,334 - INFO - Horizon 0.1s - Transition F1: 0.6538, Precision: 0.6893, Recall: 0.6550 +2026-04-09 15:04:28,334 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 15:04:28,334 - INFO - Macro F1: 0.6538 +2026-04-09 15:04:28,334 - INFO - Weighted F1: 0.6985 +2026-04-09 15:04:28,334 - INFO - +2026-04-09 15:04:28,334 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9009 +2026-04-09 15:04:28,334 - INFO - Horizon 0.2s - Overall F1: 0.9049, Precision: 0.9077, Recall: 0.9056 +2026-04-09 15:04:28,334 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 15:04:28,334 - INFO - Macro F1: 0.9049 +2026-04-09 15:04:28,334 - INFO - Weighted F1: 0.9011 +2026-04-09 15:04:28,334 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9481 +2026-04-09 15:04:28,334 - INFO - Horizon 0.2s - Steady F1: 0.9508, Precision: 0.9461, Recall: 0.9582 +2026-04-09 15:04:28,334 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 15:04:28,334 - INFO - Macro F1: 0.9508 +2026-04-09 15:04:28,334 - INFO - Weighted F1: 0.9484 +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6808 +2026-04-09 15:04:28,335 - INFO - Horizon 0.2s - Transition F1: 0.6585, Precision: 0.6916, Recall: 0.6515 +2026-04-09 15:04:28,335 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 15:04:28,335 - INFO - Macro F1: 0.6585 +2026-04-09 15:04:28,335 - INFO - Weighted F1: 0.6806 +2026-04-09 15:04:28,335 - INFO - +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9002 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Overall F1: 0.9066, Precision: 0.9058, Recall: 0.9099 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 15:04:28,335 - INFO - Macro F1: 0.9066 +2026-04-09 15:04:28,335 - INFO - Weighted F1: 0.9008 +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9432 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Steady F1: 0.9452, Precision: 0.9405, Recall: 0.9531 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 15:04:28,335 - INFO - Macro F1: 0.9452 +2026-04-09 15:04:28,335 - INFO - Weighted F1: 0.9436 +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7049 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Transition F1: 0.6897, Precision: 0.7060, Recall: 0.6872 +2026-04-09 15:04:28,335 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 15:04:28,335 - INFO - Macro F1: 0.6897 +2026-04-09 15:04:28,335 - INFO - Weighted F1: 0.7028 +2026-04-09 15:04:28,335 - INFO - +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8885 +2026-04-09 15:04:28,335 - INFO - Horizon 0.5s - Overall F1: 0.8917, Precision: 0.9019, Recall: 0.8849 +2026-04-09 15:04:28,335 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 15:04:28,335 - INFO - Macro F1: 0.8917 +2026-04-09 15:04:28,335 - INFO - Weighted F1: 0.8888 +2026-04-09 15:04:28,335 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9370 +2026-04-09 15:04:28,335 - INFO - Horizon 0.5s - Steady F1: 0.9383, Precision: 0.9361, Recall: 0.9438 +2026-04-09 15:04:28,336 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 15:04:28,336 - INFO - Macro F1: 0.9383 +2026-04-09 15:04:28,336 - INFO - Weighted F1: 0.9375 +2026-04-09 15:04:28,336 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6637 +2026-04-09 15:04:28,336 - INFO - Horizon 0.5s - Transition F1: 0.5982, Precision: 0.6790, Recall: 0.5661 +2026-04-09 15:04:28,336 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 15:04:28,336 - INFO - Macro F1: 0.5982 +2026-04-09 15:04:28,336 - INFO - Weighted F1: 0.6585 +2026-04-09 15:04:28,336 - INFO - +2026-04-09 15:04:28,336 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8516 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Overall F1: 0.8547, Precision: 0.8723, Recall: 0.8436 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 15:04:28,336 - INFO - Macro F1: 0.8547 +2026-04-09 15:04:28,336 - INFO - Weighted F1: 0.8522 +2026-04-09 15:04:28,336 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9076 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Steady F1: 0.9026, Precision: 0.9062, Recall: 0.9021 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 15:04:28,336 - INFO - Macro F1: 0.9026 +2026-04-09 15:04:28,336 - INFO - Weighted F1: 0.9082 +2026-04-09 15:04:28,336 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5869 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Transition F1: 0.5071, Precision: 0.6555, Recall: 0.4824 +2026-04-09 15:04:28,336 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 15:04:28,336 - INFO - Macro F1: 0.5071 +2026-04-09 15:04:28,336 - INFO - Weighted F1: 0.5789 +2026-04-09 15:04:29,318 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_15.pt +2026-04-09 15:04:29,320 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,321 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,322 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,323 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,324 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,325 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,326 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,326 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,327 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,328 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,329 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,330 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,331 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,331 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,332 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,333 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_15.csv +2026-04-09 15:04:29,335 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_15.csv +2026-04-09 15:04:29,336 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_15.csv +2026-04-09 15:04:29,362 - INFO - Removed old checkpoint: checkpoint_epoch_14.pt +2026-04-09 15:04:29,364 - INFO - Epoch 16/50, Learning Rate: 0.000040 +2026-04-09 15:29:35,014 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 15:29:35,091 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:29:35,174 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 15:29:35,239 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:29:35,302 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 15:29:35,378 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 15:29:37,718 - INFO - Epoch 16/50: +2026-04-09 15:29:37,718 - INFO - Train: loss=0.6496, accuracy_overall=0.9397 +2026-04-09 15:29:37,718 - INFO - Horizon 0.0s: accuracy=0.9461 +2026-04-09 15:29:37,719 - INFO - Horizon 0.1s: accuracy=0.9471 +2026-04-09 15:29:37,719 - INFO - Horizon 0.2s: accuracy=0.9492 +2026-04-09 15:29:37,719 - INFO - Horizon 0.3s: accuracy=0.9465 +2026-04-09 15:29:37,719 - INFO - Horizon 0.5s: accuracy=0.9406 +2026-04-09 15:29:37,719 - INFO - Horizon 1.0s: accuracy=0.9086 +2026-04-09 15:29:37,719 - INFO - Val Horizon 0.0s - Overall: loss=0.7585, accuracy=0.8940 +2026-04-09 15:29:37,719 - INFO - Horizon 0.0s - Overall F1: 0.8954, Precision: 0.8915, Recall: 0.9014 +2026-04-09 15:29:37,719 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 15:29:37,719 - INFO - Macro F1: 0.8954 +2026-04-09 15:29:37,719 - INFO - Weighted F1: 0.8941 +2026-04-09 15:29:37,719 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9435 +2026-04-09 15:29:37,719 - INFO - Horizon 0.0s - Steady F1: 0.9429, Precision: 0.9336, Recall: 0.9545 +2026-04-09 15:29:37,719 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 15:29:37,719 - INFO - Macro F1: 0.9429 +2026-04-09 15:29:37,720 - INFO - Weighted F1: 0.9438 +2026-04-09 15:29:37,720 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6656 +2026-04-09 15:29:37,720 - INFO - Horizon 0.0s - Transition F1: 0.6275, Precision: 0.6378, Recall: 0.6262 +2026-04-09 15:29:37,720 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 15:29:37,720 - INFO - Macro F1: 0.6275 +2026-04-09 15:29:37,720 - INFO - Weighted F1: 0.6638 +2026-04-09 15:29:37,720 - INFO - +2026-04-09 15:29:37,720 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9007 +2026-04-09 15:29:37,720 - INFO - Horizon 0.1s - Overall F1: 0.9016, Precision: 0.8951, Recall: 0.9100 +2026-04-09 15:29:37,720 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 15:29:37,720 - INFO - Macro F1: 0.9016 +2026-04-09 15:29:37,720 - INFO - Weighted F1: 0.9008 +2026-04-09 15:29:37,720 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9477 +2026-04-09 15:29:37,720 - INFO - Horizon 0.1s - Steady F1: 0.9472, Precision: 0.9367, Recall: 0.9599 +2026-04-09 15:29:37,721 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 15:29:37,721 - INFO - Macro F1: 0.9472 +2026-04-09 15:29:37,721 - INFO - Weighted F1: 0.9480 +2026-04-09 15:29:37,721 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6866 +2026-04-09 15:29:37,721 - INFO - Horizon 0.1s - Transition F1: 0.6489, Precision: 0.6490, Recall: 0.6576 +2026-04-09 15:29:37,721 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 15:29:37,721 - INFO - Macro F1: 0.6489 +2026-04-09 15:29:37,721 - INFO - Weighted F1: 0.6858 +2026-04-09 15:29:37,721 - INFO - +2026-04-09 15:29:37,721 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8980 +2026-04-09 15:29:37,721 - INFO - Horizon 0.2s - Overall F1: 0.8990, Precision: 0.8912, Recall: 0.9090 +2026-04-09 15:29:37,721 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 15:29:37,721 - INFO - Macro F1: 0.8990 +2026-04-09 15:29:37,721 - INFO - Weighted F1: 0.8981 +2026-04-09 15:29:37,722 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9452 +2026-04-09 15:29:37,722 - INFO - Horizon 0.2s - Steady F1: 0.9430, Precision: 0.9307, Recall: 0.9579 +2026-04-09 15:29:37,722 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 15:29:37,722 - INFO - Macro F1: 0.9430 +2026-04-09 15:29:37,722 - INFO - Weighted F1: 0.9456 +2026-04-09 15:29:37,722 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6776 +2026-04-09 15:29:37,722 - INFO - Horizon 0.2s - Transition F1: 0.6565, Precision: 0.6505, Recall: 0.6734 +2026-04-09 15:29:37,722 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 15:29:37,722 - INFO - Macro F1: 0.6565 +2026-04-09 15:29:37,722 - INFO - Weighted F1: 0.6758 +2026-04-09 15:29:37,722 - INFO - +2026-04-09 15:29:37,722 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8961 +2026-04-09 15:29:37,722 - INFO - Horizon 0.3s - Overall F1: 0.8974, Precision: 0.8882, Recall: 0.9099 +2026-04-09 15:29:37,722 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 15:29:37,722 - INFO - Macro F1: 0.8974 +2026-04-09 15:29:37,723 - INFO - Weighted F1: 0.8964 +2026-04-09 15:29:37,723 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9434 +2026-04-09 15:29:37,723 - INFO - Horizon 0.3s - Steady F1: 0.9396, Precision: 0.9258, Recall: 0.9566 +2026-04-09 15:29:37,723 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 15:29:37,723 - INFO - Macro F1: 0.9396 +2026-04-09 15:29:37,723 - INFO - Weighted F1: 0.9439 +2026-04-09 15:29:37,723 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6810 +2026-04-09 15:29:37,723 - INFO - Horizon 0.3s - Transition F1: 0.6594, Precision: 0.6542, Recall: 0.6795 +2026-04-09 15:29:37,723 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 15:29:37,723 - INFO - Macro F1: 0.6594 +2026-04-09 15:29:37,723 - INFO - Weighted F1: 0.6729 +2026-04-09 15:29:37,723 - INFO - +2026-04-09 15:29:37,723 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8934 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Overall F1: 0.8933, Precision: 0.8891, Recall: 0.8993 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 15:29:37,724 - INFO - Macro F1: 0.8933 +2026-04-09 15:29:37,724 - INFO - Weighted F1: 0.8936 +2026-04-09 15:29:37,724 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9427 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Steady F1: 0.9368, Precision: 0.9251, Recall: 0.9509 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 15:29:37,724 - INFO - Macro F1: 0.9368 +2026-04-09 15:29:37,724 - INFO - Weighted F1: 0.9432 +2026-04-09 15:29:37,724 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6650 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Transition F1: 0.6370, Precision: 0.6574, Recall: 0.6372 +2026-04-09 15:29:37,724 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 15:29:37,724 - INFO - Macro F1: 0.6370 +2026-04-09 15:29:37,724 - INFO - Weighted F1: 0.6585 +2026-04-09 15:29:37,724 - INFO - +2026-04-09 15:29:37,724 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8630 +2026-04-09 15:29:37,724 - INFO - Horizon 1.0s - Overall F1: 0.8646, Precision: 0.8666, Recall: 0.8655 +2026-04-09 15:29:37,724 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 15:29:37,724 - INFO - Macro F1: 0.8646 +2026-04-09 15:29:37,724 - INFO - Weighted F1: 0.8617 +2026-04-09 15:29:37,725 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9168 +2026-04-09 15:29:37,725 - INFO - Horizon 1.0s - Steady F1: 0.9074, Precision: 0.9006, Recall: 0.9161 +2026-04-09 15:29:37,725 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 15:29:37,725 - INFO - Macro F1: 0.9074 +2026-04-09 15:29:37,725 - INFO - Weighted F1: 0.9166 +2026-04-09 15:29:37,725 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6083 +2026-04-09 15:29:37,725 - INFO - Horizon 1.0s - Transition F1: 0.5886, Precision: 0.6483, Recall: 0.5722 +2026-04-09 15:29:37,725 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 15:29:37,725 - INFO - Macro F1: 0.5886 +2026-04-09 15:29:37,725 - INFO - Weighted F1: 0.6073 +2026-04-09 15:29:38,724 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_16.pt +2026-04-09 15:29:38,728 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,730 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,731 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,733 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,734 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,735 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,736 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,737 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,738 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,740 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,741 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,742 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,743 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,744 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,746 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,747 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_16.csv +2026-04-09 15:29:38,748 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_16.csv +2026-04-09 15:29:38,749 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_16.csv +2026-04-09 15:29:38,768 - INFO - Removed old checkpoint: checkpoint_epoch_15.pt +2026-04-09 15:29:38,769 - INFO - Epoch 17/50, Learning Rate: 0.000038 +2026-04-09 15:55:14,712 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 15:55:14,784 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:55:14,852 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 15:55:14,922 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 15:55:14,991 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 15:55:15,060 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 15:55:17,220 - INFO - Epoch 17/50: +2026-04-09 15:55:17,221 - INFO - Train: loss=0.6520, accuracy_overall=0.9394 +2026-04-09 15:55:17,221 - INFO - Horizon 0.0s: accuracy=0.9492 +2026-04-09 15:55:17,221 - INFO - Horizon 0.1s: accuracy=0.9495 +2026-04-09 15:55:17,221 - INFO - Horizon 0.2s: accuracy=0.9491 +2026-04-09 15:55:17,221 - INFO - Horizon 0.3s: accuracy=0.9415 +2026-04-09 15:55:17,221 - INFO - Horizon 0.5s: accuracy=0.9349 +2026-04-09 15:55:17,221 - INFO - Horizon 1.0s: accuracy=0.9122 +2026-04-09 15:55:17,221 - INFO - Val Horizon 0.0s - Overall: loss=0.7266, accuracy=0.9158 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Overall F1: 0.9172, Precision: 0.9178, Recall: 0.9192 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 15:55:17,222 - INFO - Macro F1: 0.9172 +2026-04-09 15:55:17,222 - INFO - Weighted F1: 0.9157 +2026-04-09 15:55:17,222 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9607 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Steady F1: 0.9610, Precision: 0.9560, Recall: 0.9675 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 15:55:17,222 - INFO - Macro F1: 0.9610 +2026-04-09 15:55:17,222 - INFO - Weighted F1: 0.9609 +2026-04-09 15:55:17,222 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7084 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Transition F1: 0.6716, Precision: 0.6982, Recall: 0.6649 +2026-04-09 15:55:17,222 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 15:55:17,222 - INFO - Macro F1: 0.6716 +2026-04-09 15:55:17,222 - INFO - Weighted F1: 0.7090 +2026-04-09 15:55:17,222 - INFO - +2026-04-09 15:55:17,222 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9131 +2026-04-09 15:55:17,222 - INFO - Horizon 0.1s - Overall F1: 0.9151, Precision: 0.9171, Recall: 0.9159 +2026-04-09 15:55:17,222 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 15:55:17,222 - INFO - Macro F1: 0.9151 +2026-04-09 15:55:17,223 - INFO - Weighted F1: 0.9129 +2026-04-09 15:55:17,223 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9591 +2026-04-09 15:55:17,223 - INFO - Horizon 0.1s - Steady F1: 0.9592, Precision: 0.9535, Recall: 0.9667 +2026-04-09 15:55:17,223 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 15:55:17,223 - INFO - Macro F1: 0.9592 +2026-04-09 15:55:17,223 - INFO - Weighted F1: 0.9593 +2026-04-09 15:55:17,223 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7037 +2026-04-09 15:55:17,223 - INFO - Horizon 0.1s - Transition F1: 0.6674, Precision: 0.6973, Recall: 0.6554 +2026-04-09 15:55:17,223 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 15:55:17,223 - INFO - Macro F1: 0.6674 +2026-04-09 15:55:17,223 - INFO - Weighted F1: 0.7035 +2026-04-09 15:55:17,223 - INFO - +2026-04-09 15:55:17,223 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9111 +2026-04-09 15:55:17,223 - INFO - Horizon 0.2s - Overall F1: 0.9133, Precision: 0.9139, Recall: 0.9159 +2026-04-09 15:55:17,223 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 15:55:17,223 - INFO - Macro F1: 0.9133 +2026-04-09 15:55:17,223 - INFO - Weighted F1: 0.9112 +2026-04-09 15:55:17,223 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9576 +2026-04-09 15:55:17,223 - INFO - Horizon 0.2s - Steady F1: 0.9573, Precision: 0.9497, Recall: 0.9674 +2026-04-09 15:55:17,224 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 15:55:17,224 - INFO - Macro F1: 0.9573 +2026-04-09 15:55:17,224 - INFO - Weighted F1: 0.9580 +2026-04-09 15:55:17,224 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6943 +2026-04-09 15:55:17,224 - INFO - Horizon 0.2s - Transition F1: 0.6799, Precision: 0.7049, Recall: 0.6696 +2026-04-09 15:55:17,224 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 15:55:17,224 - INFO - Macro F1: 0.6799 +2026-04-09 15:55:17,224 - INFO - Weighted F1: 0.6942 +2026-04-09 15:55:17,224 - INFO - +2026-04-09 15:55:17,224 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9078 +2026-04-09 15:55:17,224 - INFO - Horizon 0.3s - Overall F1: 0.9105, Precision: 0.9085, Recall: 0.9157 +2026-04-09 15:55:17,224 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 15:55:17,224 - INFO - Macro F1: 0.9105 +2026-04-09 15:55:17,224 - INFO - Weighted F1: 0.9080 +2026-04-09 15:55:17,224 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9534 +2026-04-09 15:55:17,224 - INFO - Horizon 0.3s - Steady F1: 0.9517, Precision: 0.9429, Recall: 0.9635 +2026-04-09 15:55:17,224 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 15:55:17,224 - INFO - Macro F1: 0.9517 +2026-04-09 15:55:17,224 - INFO - Weighted F1: 0.9539 +2026-04-09 15:55:17,225 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7005 +2026-04-09 15:55:17,225 - INFO - Horizon 0.3s - Transition F1: 0.6859, Precision: 0.7067, Recall: 0.6743 +2026-04-09 15:55:17,225 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 15:55:17,225 - INFO - Macro F1: 0.6859 +2026-04-09 15:55:17,225 - INFO - Weighted F1: 0.6981 +2026-04-09 15:55:17,225 - INFO - +2026-04-09 15:55:17,225 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8968 +2026-04-09 15:55:17,225 - INFO - Horizon 0.5s - Overall F1: 0.8985, Precision: 0.9001, Recall: 0.9000 +2026-04-09 15:55:17,225 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 15:55:17,225 - INFO - Macro F1: 0.8985 +2026-04-09 15:55:17,225 - INFO - Weighted F1: 0.8972 +2026-04-09 15:55:17,225 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9460 +2026-04-09 15:55:17,225 - INFO - Horizon 0.5s - Steady F1: 0.9427, Precision: 0.9350, Recall: 0.9536 +2026-04-09 15:55:17,225 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 15:55:17,225 - INFO - Macro F1: 0.9427 +2026-04-09 15:55:17,225 - INFO - Weighted F1: 0.9465 +2026-04-09 15:55:17,226 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6688 +2026-04-09 15:55:17,226 - INFO - Horizon 0.5s - Transition F1: 0.6315, Precision: 0.6755, Recall: 0.6124 +2026-04-09 15:55:17,226 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 15:55:17,226 - INFO - Macro F1: 0.6315 +2026-04-09 15:55:17,226 - INFO - Weighted F1: 0.6661 +2026-04-09 15:55:17,226 - INFO - +2026-04-09 15:55:17,226 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8720 +2026-04-09 15:55:17,226 - INFO - Horizon 1.0s - Overall F1: 0.8758, Precision: 0.8843, Recall: 0.8704 +2026-04-09 15:55:17,226 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 15:55:17,226 - INFO - Macro F1: 0.8758 +2026-04-09 15:55:17,226 - INFO - Weighted F1: 0.8719 +2026-04-09 15:55:17,226 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9265 +2026-04-09 15:55:17,226 - INFO - Horizon 1.0s - Steady F1: 0.9214, Precision: 0.9199, Recall: 0.9249 +2026-04-09 15:55:17,226 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 15:55:17,226 - INFO - Macro F1: 0.9214 +2026-04-09 15:55:17,226 - INFO - Weighted F1: 0.9267 +2026-04-09 15:55:17,226 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6148 +2026-04-09 15:55:17,226 - INFO - Horizon 1.0s - Transition F1: 0.5824, Precision: 0.6612, Recall: 0.5523 +2026-04-09 15:55:17,227 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 15:55:17,227 - INFO - Macro F1: 0.5824 +2026-04-09 15:55:17,227 - INFO - Weighted F1: 0.6153 +2026-04-09 15:55:18,450 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_17.pt +2026-04-09 15:55:18,453 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_17.csv +2026-04-09 15:55:18,455 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 15:55:18,455 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 15:55:18,457 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_17.csv +2026-04-09 15:55:18,458 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 15:55:18,458 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 15:55:18,459 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_17.csv +2026-04-09 15:55:18,460 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 15:55:18,461 - INFO - Saved 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INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_17.csv +2026-04-09 15:55:18,464 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 15:55:18,465 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 15:55:18,466 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_17.csv +2026-04-09 15:55:18,467 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 15:55:18,467 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 15:55:18,468 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_17.csv +2026-04-09 15:55:18,469 - INFO - Saved best overall horizon 0.2s model metrics: 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15:55:18,479 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 15:55:18,480 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_17.csv +2026-04-09 15:55:18,481 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 15:55:18,482 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 15:55:18,482 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_17.csv +2026-04-09 15:55:18,483 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 15:55:18,484 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 15:55:18,484 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_17.csv +2026-04-09 15:55:18,485 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 15:55:18,486 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 15:55:18,486 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_17.csv +2026-04-09 15:55:18,487 - INFO - Saved best overall 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+2026-04-09 15:55:18,501 - INFO - Removed old checkpoint: checkpoint_epoch_16.pt +2026-04-09 15:55:19,647 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 15:55:19,667 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 15:55:19,818 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 15:55:19,819 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 15:55:19,820 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 15:55:19,821 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 15:55:19,823 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 15:55:19,824 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 15:55:19,825 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 15:55:19,825 - INFO - Epoch 18/50, Learning Rate: 0.000037 +2026-04-09 16:20:27,302 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 16:20:27,377 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 16:20:27,450 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 16:20:27,516 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 16:20:27,583 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 16:20:27,645 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 16:20:29,750 - INFO - Epoch 18/50: +2026-04-09 16:20:29,750 - INFO - Train: loss=0.6478, accuracy_overall=0.9416 +2026-04-09 16:20:29,750 - INFO - Horizon 0.0s: accuracy=0.9516 +2026-04-09 16:20:29,750 - INFO - Horizon 0.1s: accuracy=0.9540 +2026-04-09 16:20:29,750 - INFO - Horizon 0.2s: accuracy=0.9516 +2026-04-09 16:20:29,750 - INFO - Horizon 0.3s: accuracy=0.9508 +2026-04-09 16:20:29,750 - INFO - Horizon 0.5s: accuracy=0.9341 +2026-04-09 16:20:29,750 - INFO - Horizon 1.0s: accuracy=0.9074 +2026-04-09 16:20:29,751 - INFO - Val Horizon 0.0s - Overall: loss=0.7613, accuracy=0.8998 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Overall F1: 0.9037, Precision: 0.8880, Recall: 0.9231 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 16:20:29,751 - INFO - Macro F1: 0.9037 +2026-04-09 16:20:29,751 - INFO - Weighted F1: 0.8999 +2026-04-09 16:20:29,751 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9465 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Steady F1: 0.9467, Precision: 0.9316, Recall: 0.9648 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 16:20:29,751 - INFO - Macro F1: 0.9467 +2026-04-09 16:20:29,751 - INFO - Weighted F1: 0.9468 +2026-04-09 16:20:29,751 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6841 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Transition F1: 0.6814, Precision: 0.6524, Recall: 0.7280 +2026-04-09 16:20:29,751 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 16:20:29,751 - INFO - Macro F1: 0.6814 +2026-04-09 16:20:29,751 - INFO - Weighted F1: 0.6830 +2026-04-09 16:20:29,751 - INFO - +2026-04-09 16:20:29,751 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9008 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Overall F1: 0.9043, Precision: 0.8889, Recall: 0.9235 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 16:20:29,752 - INFO - Macro F1: 0.9043 +2026-04-09 16:20:29,752 - INFO - Weighted F1: 0.9009 +2026-04-09 16:20:29,752 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9469 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Steady F1: 0.9480, Precision: 0.9304, Recall: 0.9687 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 16:20:29,752 - INFO - Macro F1: 0.9480 +2026-04-09 16:20:29,752 - INFO - Weighted F1: 0.9472 +2026-04-09 16:20:29,752 - INFO - Val Horizon 0.1s - Transition: accuracy=0.6910 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Transition F1: 0.6780, Precision: 0.6535, Recall: 0.7211 +2026-04-09 16:20:29,752 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 16:20:29,752 - INFO - Macro F1: 0.6780 +2026-04-09 16:20:29,752 - INFO - Weighted F1: 0.6899 +2026-04-09 16:20:29,752 - INFO - +2026-04-09 16:20:29,752 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8958 +2026-04-09 16:20:29,752 - INFO - Horizon 0.2s - Overall F1: 0.9005, Precision: 0.8852, Recall: 0.9196 +2026-04-09 16:20:29,752 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 16:20:29,753 - INFO - Macro F1: 0.9005 +2026-04-09 16:20:29,753 - INFO - Weighted F1: 0.8959 +2026-04-09 16:20:29,753 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9426 +2026-04-09 16:20:29,753 - INFO - Horizon 0.2s - Steady F1: 0.9431, Precision: 0.9251, Recall: 0.9646 +2026-04-09 16:20:29,753 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 16:20:29,753 - INFO - Macro F1: 0.9431 +2026-04-09 16:20:29,753 - INFO - Weighted F1: 0.9429 +2026-04-09 16:20:29,753 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6776 +2026-04-09 16:20:29,753 - INFO - Horizon 0.2s - Transition F1: 0.6804, Precision: 0.6571, Recall: 0.7235 +2026-04-09 16:20:29,753 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 16:20:29,753 - INFO - Macro F1: 0.6804 +2026-04-09 16:20:29,753 - INFO - Weighted F1: 0.6751 +2026-04-09 16:20:29,753 - INFO - +2026-04-09 16:20:29,753 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8948 +2026-04-09 16:20:29,753 - INFO - Horizon 0.3s - Overall F1: 0.9005, Precision: 0.8843, Recall: 0.9210 +2026-04-09 16:20:29,753 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 16:20:29,753 - INFO - Macro F1: 0.9005 +2026-04-09 16:20:29,753 - INFO - Weighted F1: 0.8950 +2026-04-09 16:20:29,753 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9404 +2026-04-09 16:20:29,753 - INFO - Horizon 0.3s - Steady F1: 0.9410, Precision: 0.9225, Recall: 0.9630 +2026-04-09 16:20:29,753 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 16:20:29,753 - INFO - Macro F1: 0.9410 +2026-04-09 16:20:29,753 - INFO - Weighted F1: 0.9407 +2026-04-09 16:20:29,753 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6873 +2026-04-09 16:20:29,753 - INFO - Horizon 0.3s - Transition F1: 0.6845, Precision: 0.6658, Recall: 0.7291 +2026-04-09 16:20:29,754 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 16:20:29,754 - INFO - Macro F1: 0.6845 +2026-04-09 16:20:29,754 - INFO - Weighted F1: 0.6806 +2026-04-09 16:20:29,754 - INFO - +2026-04-09 16:20:29,754 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8886 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Overall F1: 0.8938, Precision: 0.8851, Recall: 0.9056 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 16:20:29,754 - INFO - Macro F1: 0.8938 +2026-04-09 16:20:29,754 - INFO - Weighted F1: 0.8886 +2026-04-09 16:20:29,754 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9387 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Steady F1: 0.9379, Precision: 0.9231, Recall: 0.9555 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 16:20:29,754 - INFO - Macro F1: 0.9379 +2026-04-09 16:20:29,754 - INFO - Weighted F1: 0.9391 +2026-04-09 16:20:29,754 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6566 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Transition F1: 0.6754, Precision: 0.6739, Recall: 0.6901 +2026-04-09 16:20:29,754 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 16:20:29,754 - INFO - Macro F1: 0.6754 +2026-04-09 16:20:29,754 - INFO - Weighted F1: 0.6518 +2026-04-09 16:20:29,754 - INFO - +2026-04-09 16:20:29,754 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8584 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Overall F1: 0.8663, Precision: 0.8576, Recall: 0.8791 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 16:20:29,755 - INFO - Macro F1: 0.8663 +2026-04-09 16:20:29,755 - INFO - Weighted F1: 0.8585 +2026-04-09 16:20:29,755 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9146 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Steady F1: 0.9073, Precision: 0.8957, Recall: 0.9239 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 16:20:29,755 - INFO - Macro F1: 0.9073 +2026-04-09 16:20:29,755 - INFO - Weighted F1: 0.9148 +2026-04-09 16:20:29,755 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5927 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Transition F1: 0.6146, Precision: 0.6286, Recall: 0.6212 +2026-04-09 16:20:29,755 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 16:20:29,755 - INFO - Macro F1: 0.6146 +2026-04-09 16:20:29,755 - INFO - Weighted F1: 0.5898 +2026-04-09 16:20:30,776 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_18.pt +2026-04-09 16:20:30,777 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,778 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,779 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,780 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,781 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,781 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,782 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,783 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,784 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,784 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,785 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,786 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,787 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,787 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,788 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,789 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_18.csv +2026-04-09 16:20:30,790 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_18.csv +2026-04-09 16:20:30,790 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_18.csv +2026-04-09 16:20:30,800 - INFO - Removed old checkpoint: checkpoint_epoch_17.pt +2026-04-09 16:20:30,801 - INFO - Epoch 19/50, Learning Rate: 0.000036 +2026-04-09 16:47:21,987 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 16:47:22,063 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 16:47:22,139 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 16:47:22,210 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 16:47:22,275 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 16:47:22,339 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 16:47:24,632 - INFO - Epoch 19/50: +2026-04-09 16:47:24,632 - INFO - Train: loss=0.6468, accuracy_overall=0.9404 +2026-04-09 16:47:24,632 - INFO - Horizon 0.0s: accuracy=0.9520 +2026-04-09 16:47:24,632 - INFO - Horizon 0.1s: accuracy=0.9549 +2026-04-09 16:47:24,633 - INFO - Horizon 0.2s: accuracy=0.9475 +2026-04-09 16:47:24,633 - INFO - Horizon 0.3s: accuracy=0.9437 +2026-04-09 16:47:24,633 - INFO - Horizon 0.5s: accuracy=0.9338 +2026-04-09 16:47:24,633 - INFO - Horizon 1.0s: accuracy=0.9105 +2026-04-09 16:47:24,633 - INFO - Val Horizon 0.0s - Overall: loss=0.7350, accuracy=0.9094 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Overall F1: 0.9128, Precision: 0.9124, Recall: 0.9150 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 16:47:24,633 - INFO - Macro F1: 0.9128 +2026-04-09 16:47:24,633 - INFO - Weighted F1: 0.9097 +2026-04-09 16:47:24,633 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9512 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Steady F1: 0.9529, Precision: 0.9472, Recall: 0.9603 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 16:47:24,633 - INFO - Macro F1: 0.9529 +2026-04-09 16:47:24,633 - INFO - Weighted F1: 0.9513 +2026-04-09 16:47:24,633 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7167 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Transition F1: 0.6943, Precision: 0.7105, Recall: 0.6927 +2026-04-09 16:47:24,633 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 16:47:24,633 - INFO - Macro F1: 0.6943 +2026-04-09 16:47:24,634 - INFO - Weighted F1: 0.7160 +2026-04-09 16:47:24,634 - INFO - +2026-04-09 16:47:24,634 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9099 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Overall F1: 0.9135, Precision: 0.9139, Recall: 0.9155 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 16:47:24,634 - INFO - Macro F1: 0.9135 +2026-04-09 16:47:24,634 - INFO - Weighted F1: 0.9102 +2026-04-09 16:47:24,634 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9495 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Steady F1: 0.9528, Precision: 0.9474, Recall: 0.9601 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 16:47:24,634 - INFO - Macro F1: 0.9528 +2026-04-09 16:47:24,634 - INFO - Weighted F1: 0.9497 +2026-04-09 16:47:24,634 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7295 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Transition F1: 0.6790, Precision: 0.7049, Recall: 0.6745 +2026-04-09 16:47:24,634 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 16:47:24,634 - INFO - Macro F1: 0.6790 +2026-04-09 16:47:24,634 - INFO - Weighted F1: 0.7263 +2026-04-09 16:47:24,634 - INFO - +2026-04-09 16:47:24,634 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9039 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Overall F1: 0.9073, Precision: 0.9080, Recall: 0.9098 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 16:47:24,635 - INFO - Macro F1: 0.9073 +2026-04-09 16:47:24,635 - INFO - Weighted F1: 0.9043 +2026-04-09 16:47:24,635 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9481 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Steady F1: 0.9508, Precision: 0.9445, Recall: 0.9596 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 16:47:24,635 - INFO - Macro F1: 0.9508 +2026-04-09 16:47:24,635 - INFO - Weighted F1: 0.9483 +2026-04-09 16:47:24,635 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6976 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Transition F1: 0.6669, Precision: 0.6968, Recall: 0.6565 +2026-04-09 16:47:24,635 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 16:47:24,635 - INFO - Macro F1: 0.6669 +2026-04-09 16:47:24,635 - INFO - Weighted F1: 0.6921 +2026-04-09 16:47:24,635 - INFO - +2026-04-09 16:47:24,635 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9031 +2026-04-09 16:47:24,635 - INFO - Horizon 0.3s - Overall F1: 0.9050, Precision: 0.9105, Recall: 0.9026 +2026-04-09 16:47:24,636 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 16:47:24,636 - INFO - Macro F1: 0.9050 +2026-04-09 16:47:24,636 - INFO - Weighted F1: 0.9034 +2026-04-09 16:47:24,636 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9468 +2026-04-09 16:47:24,636 - INFO - Horizon 0.3s - Steady F1: 0.9463, Precision: 0.9426, Recall: 0.9524 +2026-04-09 16:47:24,636 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 16:47:24,636 - INFO - Macro F1: 0.9463 +2026-04-09 16:47:24,636 - INFO - Weighted F1: 0.9470 +2026-04-09 16:47:24,636 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7043 +2026-04-09 16:47:24,636 - INFO - Horizon 0.3s - Transition F1: 0.6651, Precision: 0.7071, Recall: 0.6469 +2026-04-09 16:47:24,636 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 16:47:24,636 - INFO - Macro F1: 0.6651 +2026-04-09 16:47:24,636 - INFO - Weighted F1: 0.7001 +2026-04-09 16:47:24,636 - INFO - +2026-04-09 16:47:24,636 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8969 +2026-04-09 16:47:24,636 - INFO - Horizon 0.5s - Overall F1: 0.8988, Precision: 0.9079, Recall: 0.8917 +2026-04-09 16:47:24,636 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 16:47:24,636 - INFO - Macro F1: 0.8988 +2026-04-09 16:47:24,636 - INFO - Weighted F1: 0.8971 +2026-04-09 16:47:24,636 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9420 +2026-04-09 16:47:24,637 - INFO - Horizon 0.5s - Steady F1: 0.9412, Precision: 0.9387, Recall: 0.9464 +2026-04-09 16:47:24,637 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 16:47:24,637 - INFO - Macro F1: 0.9412 +2026-04-09 16:47:24,637 - INFO - Weighted F1: 0.9423 +2026-04-09 16:47:24,637 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6880 +2026-04-09 16:47:24,637 - INFO - Horizon 0.5s - Transition F1: 0.6558, Precision: 0.7168, Recall: 0.6223 +2026-04-09 16:47:24,637 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 16:47:24,637 - INFO - Macro F1: 0.6558 +2026-04-09 16:47:24,637 - INFO - Weighted F1: 0.6849 +2026-04-09 16:47:24,637 - INFO - +2026-04-09 16:47:24,637 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8591 +2026-04-09 16:47:24,637 - INFO - Horizon 1.0s - Overall F1: 0.8650, Precision: 0.8829, Recall: 0.8498 +2026-04-09 16:47:24,637 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 16:47:24,637 - INFO - Macro F1: 0.8650 +2026-04-09 16:47:24,637 - INFO - Weighted F1: 0.8588 +2026-04-09 16:47:24,637 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9141 +2026-04-09 16:47:24,637 - INFO - Horizon 1.0s - Steady F1: 0.9111, Precision: 0.9163, Recall: 0.9078 +2026-04-09 16:47:24,637 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 16:47:24,638 - INFO - Macro F1: 0.9111 +2026-04-09 16:47:24,638 - INFO - Weighted F1: 0.9142 +2026-04-09 16:47:24,638 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5992 +2026-04-09 16:47:24,638 - INFO - Horizon 1.0s - Transition F1: 0.5520, Precision: 0.6563, Recall: 0.5013 +2026-04-09 16:47:24,638 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 16:47:24,638 - INFO - Macro F1: 0.5520 +2026-04-09 16:47:24,638 - INFO - Weighted F1: 0.5974 +2026-04-09 16:47:25,741 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_19.pt +2026-04-09 16:47:25,743 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,744 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,745 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,746 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,746 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,747 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,748 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,749 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,750 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,751 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,752 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,753 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,754 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,754 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,755 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,756 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_19.csv +2026-04-09 16:47:25,757 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_19.csv +2026-04-09 16:47:25,758 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_19.csv +2026-04-09 16:47:25,776 - INFO - Removed old checkpoint: checkpoint_epoch_18.pt +2026-04-09 16:47:25,777 - INFO - Epoch 20/50, Learning Rate: 0.000034 +2026-04-09 17:16:22,921 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 17:16:22,992 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 17:16:23,056 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 17:16:23,127 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 17:16:23,222 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 17:16:23,296 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 17:16:25,903 - INFO - Epoch 20/50: +2026-04-09 17:16:25,903 - INFO - Train: loss=0.6374, accuracy_overall=0.9458 +2026-04-09 17:16:25,903 - INFO - Horizon 0.0s: accuracy=0.9571 +2026-04-09 17:16:25,903 - INFO - Horizon 0.1s: accuracy=0.9566 +2026-04-09 17:16:25,903 - INFO - Horizon 0.2s: accuracy=0.9563 +2026-04-09 17:16:25,903 - INFO - Horizon 0.3s: accuracy=0.9468 +2026-04-09 17:16:25,903 - INFO - Horizon 0.5s: accuracy=0.9390 +2026-04-09 17:16:25,903 - INFO - Horizon 1.0s: accuracy=0.9189 +2026-04-09 17:16:25,904 - INFO - Val Horizon 0.0s - Overall: loss=0.7331, accuracy=0.9117 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Overall F1: 0.9146, Precision: 0.9041, Recall: 0.9290 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 17:16:25,904 - INFO - Macro F1: 0.9146 +2026-04-09 17:16:25,904 - INFO - Weighted F1: 0.9119 +2026-04-09 17:16:25,904 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9555 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Steady F1: 0.9562, Precision: 0.9471, Recall: 0.9685 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 17:16:25,904 - INFO - Macro F1: 0.9562 +2026-04-09 17:16:25,904 - INFO - Weighted F1: 0.9559 +2026-04-09 17:16:25,904 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7096 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Transition F1: 0.6968, Precision: 0.6759, Recall: 0.7288 +2026-04-09 17:16:25,904 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 17:16:25,904 - INFO - Macro F1: 0.6968 +2026-04-09 17:16:25,904 - INFO - Weighted F1: 0.7098 +2026-04-09 17:16:25,904 - INFO - +2026-04-09 17:16:25,904 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9166 +2026-04-09 17:16:25,904 - INFO - Horizon 0.1s - Overall F1: 0.9196, Precision: 0.9114, Recall: 0.9320 +2026-04-09 17:16:25,904 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 17:16:25,905 - INFO - Macro F1: 0.9196 +2026-04-09 17:16:25,905 - INFO - Weighted F1: 0.9168 +2026-04-09 17:16:25,905 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9586 +2026-04-09 17:16:25,905 - INFO - Horizon 0.1s - Steady F1: 0.9603, Precision: 0.9506, Recall: 0.9729 +2026-04-09 17:16:25,905 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 17:16:25,905 - INFO - Macro F1: 0.9603 +2026-04-09 17:16:25,905 - INFO - Weighted F1: 0.9590 +2026-04-09 17:16:25,905 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7257 +2026-04-09 17:16:25,905 - INFO - Horizon 0.1s - Transition F1: 0.6995, Precision: 0.6889, Recall: 0.7243 +2026-04-09 17:16:25,905 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 17:16:25,905 - INFO - Macro F1: 0.6995 +2026-04-09 17:16:25,905 - INFO - Weighted F1: 0.7264 +2026-04-09 17:16:25,905 - INFO - +2026-04-09 17:16:25,905 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9124 +2026-04-09 17:16:25,905 - INFO - Horizon 0.2s - Overall F1: 0.9157, Precision: 0.9071, Recall: 0.9288 +2026-04-09 17:16:25,905 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 17:16:25,905 - INFO - Macro F1: 0.9157 +2026-04-09 17:16:25,905 - INFO - Weighted F1: 0.9126 +2026-04-09 17:16:25,905 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9563 +2026-04-09 17:16:25,905 - INFO - Horizon 0.2s - Steady F1: 0.9576, Precision: 0.9477, Recall: 0.9709 +2026-04-09 17:16:25,906 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 17:16:25,906 - INFO - Macro F1: 0.9576 +2026-04-09 17:16:25,906 - INFO - Weighted F1: 0.9567 +2026-04-09 17:16:25,906 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7079 +2026-04-09 17:16:25,906 - INFO - Horizon 0.2s - Transition F1: 0.7028, Precision: 0.6924, Recall: 0.7281 +2026-04-09 17:16:25,906 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 17:16:25,906 - INFO - Macro F1: 0.7028 +2026-04-09 17:16:25,906 - INFO - Weighted F1: 0.7085 +2026-04-09 17:16:25,906 - INFO - +2026-04-09 17:16:25,906 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9101 +2026-04-09 17:16:25,906 - INFO - Horizon 0.3s - Overall F1: 0.9136, Precision: 0.9039, Recall: 0.9268 +2026-04-09 17:16:25,907 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 17:16:25,907 - INFO - Macro F1: 0.9136 +2026-04-09 17:16:25,907 - INFO - Weighted F1: 0.9103 +2026-04-09 17:16:25,907 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9544 +2026-04-09 17:16:25,907 - INFO - Horizon 0.3s - Steady F1: 0.9542, Precision: 0.9440, Recall: 0.9672 +2026-04-09 17:16:25,907 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 17:16:25,907 - INFO - Macro F1: 0.9542 +2026-04-09 17:16:25,907 - INFO - Weighted F1: 0.9547 +2026-04-09 17:16:25,907 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7087 +2026-04-09 17:16:25,907 - INFO - Horizon 0.3s - Transition F1: 0.7074, Precision: 0.6932, Recall: 0.7350 +2026-04-09 17:16:25,907 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 17:16:25,907 - INFO - Macro F1: 0.7074 +2026-04-09 17:16:25,907 - INFO - Weighted F1: 0.7073 +2026-04-09 17:16:25,908 - INFO - +2026-04-09 17:16:25,908 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8991 +2026-04-09 17:16:25,908 - INFO - Horizon 0.5s - Overall F1: 0.9014, Precision: 0.9020, Recall: 0.9047 +2026-04-09 17:16:25,908 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 17:16:25,908 - INFO - Macro F1: 0.9014 +2026-04-09 17:16:25,908 - INFO - Weighted F1: 0.8990 +2026-04-09 17:16:25,908 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9475 +2026-04-09 17:16:25,908 - INFO - Horizon 0.5s - Steady F1: 0.9445, Precision: 0.9389, Recall: 0.9528 +2026-04-09 17:16:25,909 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 17:16:25,911 - INFO - Macro F1: 0.9445 +2026-04-09 17:16:25,912 - INFO - Weighted F1: 0.9478 +2026-04-09 17:16:25,912 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6746 +2026-04-09 17:16:25,913 - INFO - Horizon 0.5s - Transition F1: 0.6748, Precision: 0.6971, Recall: 0.6816 +2026-04-09 17:16:25,913 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 17:16:25,914 - INFO - Macro F1: 0.6748 +2026-04-09 17:16:25,914 - INFO - Weighted F1: 0.6715 +2026-04-09 17:16:25,915 - INFO - +2026-04-09 17:16:25,916 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8665 +2026-04-09 17:16:25,916 - INFO - Horizon 1.0s - Overall F1: 0.8686, Precision: 0.8765, Recall: 0.8644 +2026-04-09 17:16:25,917 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 17:16:25,917 - INFO - Macro F1: 0.8686 +2026-04-09 17:16:25,917 - INFO - Weighted F1: 0.8647 +2026-04-09 17:16:25,917 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9237 +2026-04-09 17:16:25,917 - INFO - Horizon 1.0s - Steady F1: 0.9141, Precision: 0.9142, Recall: 0.9163 +2026-04-09 17:16:25,918 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 17:16:25,919 - INFO - Macro F1: 0.9141 +2026-04-09 17:16:25,919 - INFO - Weighted F1: 0.9232 +2026-04-09 17:16:25,920 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5960 +2026-04-09 17:16:25,920 - INFO - Horizon 1.0s - Transition F1: 0.5766, Precision: 0.6396, Recall: 0.5750 +2026-04-09 17:16:25,920 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 17:16:25,920 - INFO - Macro F1: 0.5766 +2026-04-09 17:16:25,920 - INFO - Weighted F1: 0.5949 +2026-04-09 17:16:27,873 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_20.pt +2026-04-09 17:16:27,874 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,875 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,876 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,877 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,878 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,878 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,879 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,880 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,881 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,881 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,882 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,883 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,884 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,885 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,885 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,886 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_20.csv +2026-04-09 17:16:27,887 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_20.csv +2026-04-09 17:16:27,888 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_20.csv +2026-04-09 17:16:27,899 - INFO - Removed old checkpoint: checkpoint_epoch_19.pt +2026-04-09 17:16:27,900 - INFO - Epoch 21/50, Learning Rate: 0.000033 +2026-04-09 17:41:46,026 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 17:41:46,093 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 17:41:46,151 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 17:41:46,212 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 17:41:46,276 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 17:41:46,340 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 17:41:48,514 - INFO - Epoch 21/50: +2026-04-09 17:41:48,515 - INFO - Train: loss=0.6406, accuracy_overall=0.9443 +2026-04-09 17:41:48,515 - INFO - Horizon 0.0s: accuracy=0.9536 +2026-04-09 17:41:48,515 - INFO - Horizon 0.1s: accuracy=0.9556 +2026-04-09 17:41:48,515 - INFO - Horizon 0.2s: accuracy=0.9510 +2026-04-09 17:41:48,515 - INFO - Horizon 0.3s: accuracy=0.9530 +2026-04-09 17:41:48,515 - INFO - Horizon 0.5s: accuracy=0.9399 +2026-04-09 17:41:48,515 - INFO - Horizon 1.0s: accuracy=0.9125 +2026-04-09 17:41:48,515 - INFO - Val Horizon 0.0s - Overall: loss=0.7283, accuracy=0.9107 +2026-04-09 17:41:48,515 - INFO - Horizon 0.0s - Overall F1: 0.9147, Precision: 0.9107, Recall: 0.9195 +2026-04-09 17:41:48,515 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 17:41:48,515 - INFO - Macro F1: 0.9147 +2026-04-09 17:41:48,515 - INFO - Weighted F1: 0.9105 +2026-04-09 17:41:48,515 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9574 +2026-04-09 17:41:48,515 - INFO - Horizon 0.0s - Steady F1: 0.9599, Precision: 0.9527, Recall: 0.9680 +2026-04-09 17:41:48,515 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 17:41:48,515 - INFO - Macro F1: 0.9599 +2026-04-09 17:41:48,516 - INFO - Weighted F1: 0.9575 +2026-04-09 17:41:48,516 - INFO - Val Horizon 0.0s - Transition: accuracy=0.6950 +2026-04-09 17:41:48,516 - INFO - Horizon 0.0s - Transition F1: 0.6817, Precision: 0.6811, Recall: 0.6870 +2026-04-09 17:41:48,516 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 17:41:48,516 - INFO - Macro F1: 0.6817 +2026-04-09 17:41:48,516 - INFO - Weighted F1: 0.6946 +2026-04-09 17:41:48,516 - INFO - +2026-04-09 17:41:48,516 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9163 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Overall F1: 0.9207, Precision: 0.9154, Recall: 0.9270 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 17:41:48,516 - INFO - Macro F1: 0.9207 +2026-04-09 17:41:48,516 - INFO - Weighted F1: 0.9163 +2026-04-09 17:41:48,516 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9599 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Steady F1: 0.9628, Precision: 0.9543, Recall: 0.9722 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 17:41:48,516 - INFO - Macro F1: 0.9628 +2026-04-09 17:41:48,516 - INFO - Weighted F1: 0.9600 +2026-04-09 17:41:48,516 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7175 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Transition F1: 0.6906, Precision: 0.6919, Recall: 0.6972 +2026-04-09 17:41:48,516 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 17:41:48,516 - INFO - Macro F1: 0.6906 +2026-04-09 17:41:48,516 - INFO - Weighted F1: 0.7165 +2026-04-09 17:41:48,516 - INFO - +2026-04-09 17:41:48,517 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9125 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Overall F1: 0.9176, Precision: 0.9134, Recall: 0.9229 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 17:41:48,517 - INFO - Macro F1: 0.9176 +2026-04-09 17:41:48,517 - INFO - Weighted F1: 0.9125 +2026-04-09 17:41:48,517 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9597 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Steady F1: 0.9621, Precision: 0.9540, Recall: 0.9712 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 17:41:48,517 - INFO - Macro F1: 0.9621 +2026-04-09 17:41:48,517 - INFO - Weighted F1: 0.9598 +2026-04-09 17:41:48,517 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6924 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Transition F1: 0.6839, Precision: 0.6841, Recall: 0.6904 +2026-04-09 17:41:48,517 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 17:41:48,517 - INFO - Macro F1: 0.6839 +2026-04-09 17:41:48,517 - INFO - Weighted F1: 0.6930 +2026-04-09 17:41:48,517 - INFO - +2026-04-09 17:41:48,517 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9107 +2026-04-09 17:41:48,517 - INFO - Horizon 0.3s - Overall F1: 0.9162, Precision: 0.9155, Recall: 0.9177 +2026-04-09 17:41:48,517 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 17:41:48,517 - INFO - Macro F1: 0.9162 +2026-04-09 17:41:48,517 - INFO - Weighted F1: 0.9106 +2026-04-09 17:41:48,517 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9559 +2026-04-09 17:41:48,517 - INFO - Horizon 0.3s - Steady F1: 0.9571, Precision: 0.9500, Recall: 0.9652 +2026-04-09 17:41:48,517 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 17:41:48,517 - INFO - Macro F1: 0.9571 +2026-04-09 17:41:48,517 - INFO - Weighted F1: 0.9561 +2026-04-09 17:41:48,518 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7049 +2026-04-09 17:41:48,518 - INFO - Horizon 0.3s - Transition F1: 0.7028, Precision: 0.7168, Recall: 0.6955 +2026-04-09 17:41:48,518 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 17:41:48,518 - INFO - Macro F1: 0.7028 +2026-04-09 17:41:48,518 - INFO - Weighted F1: 0.7059 +2026-04-09 17:41:48,518 - INFO - +2026-04-09 17:41:48,518 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9005 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Overall F1: 0.9044, Precision: 0.9063, Recall: 0.9029 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 17:41:48,518 - INFO - Macro F1: 0.9044 +2026-04-09 17:41:48,518 - INFO - Weighted F1: 0.9003 +2026-04-09 17:41:48,518 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9505 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Steady F1: 0.9489, Precision: 0.9446, Recall: 0.9537 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 17:41:48,518 - INFO - Macro F1: 0.9489 +2026-04-09 17:41:48,518 - INFO - Weighted F1: 0.9507 +2026-04-09 17:41:48,518 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6682 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Transition F1: 0.6666, Precision: 0.6959, Recall: 0.6447 +2026-04-09 17:41:48,518 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 17:41:48,518 - INFO - Macro F1: 0.6666 +2026-04-09 17:41:48,518 - INFO - Weighted F1: 0.6677 +2026-04-09 17:41:48,518 - INFO - +2026-04-09 17:41:48,518 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8739 +2026-04-09 17:41:48,518 - INFO - Horizon 1.0s - Overall F1: 0.8798, Precision: 0.8878, Recall: 0.8734 +2026-04-09 17:41:48,518 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 17:41:48,518 - INFO - Macro F1: 0.8798 +2026-04-09 17:41:48,518 - INFO - Weighted F1: 0.8733 +2026-04-09 17:41:48,519 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9310 +2026-04-09 17:41:48,519 - INFO - Horizon 1.0s - Steady F1: 0.9244, Precision: 0.9252, Recall: 0.9250 +2026-04-09 17:41:48,519 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 17:41:48,519 - INFO - Macro F1: 0.9244 +2026-04-09 17:41:48,519 - INFO - Weighted F1: 0.9309 +2026-04-09 17:41:48,519 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6038 +2026-04-09 17:41:48,519 - INFO - Horizon 1.0s - Transition F1: 0.5993, Precision: 0.6704, Recall: 0.5665 +2026-04-09 17:41:48,519 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 17:41:48,519 - INFO - Macro F1: 0.5993 +2026-04-09 17:41:48,519 - INFO - Weighted F1: 0.6035 +2026-04-09 17:41:49,736 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_21.pt +2026-04-09 17:41:49,738 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,739 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,740 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,740 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,741 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,742 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,743 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,744 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,744 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,745 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,746 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,747 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,748 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,749 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,749 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,750 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_21.csv +2026-04-09 17:41:49,751 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_21.csv +2026-04-09 17:41:49,752 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_21.csv +2026-04-09 17:41:49,766 - INFO - Removed old checkpoint: checkpoint_epoch_20.pt +2026-04-09 17:41:49,768 - INFO - Epoch 22/50, Learning Rate: 0.000031 +2026-04-09 18:06:41,144 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 18:06:41,218 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:06:41,282 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 18:06:41,354 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:06:41,425 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 18:06:41,489 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 18:06:43,652 - INFO - Epoch 22/50: +2026-04-09 18:06:43,652 - INFO - Train: loss=0.6387, accuracy_overall=0.9448 +2026-04-09 18:06:43,652 - INFO - Horizon 0.0s: accuracy=0.9529 +2026-04-09 18:06:43,652 - INFO - Horizon 0.1s: accuracy=0.9571 +2026-04-09 18:06:43,652 - INFO - Horizon 0.2s: accuracy=0.9526 +2026-04-09 18:06:43,653 - INFO - Horizon 0.3s: accuracy=0.9484 +2026-04-09 18:06:43,653 - INFO - Horizon 0.5s: accuracy=0.9421 +2026-04-09 18:06:43,653 - INFO - Horizon 1.0s: accuracy=0.9157 +2026-04-09 18:06:43,653 - INFO - Val Horizon 0.0s - Overall: loss=0.7155, accuracy=0.9190 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Overall F1: 0.9194, Precision: 0.9133, Recall: 0.9266 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 18:06:43,653 - INFO - Macro F1: 0.9194 +2026-04-09 18:06:43,653 - INFO - Weighted F1: 0.9188 +2026-04-09 18:06:43,653 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9627 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Steady F1: 0.9613, Precision: 0.9547, Recall: 0.9689 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 18:06:43,653 - INFO - Macro F1: 0.9613 +2026-04-09 18:06:43,653 - INFO - Weighted F1: 0.9627 +2026-04-09 18:06:43,653 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7173 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Transition F1: 0.7004, Precision: 0.6888, Recall: 0.7178 +2026-04-09 18:06:43,653 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 18:06:43,653 - INFO - Macro F1: 0.7004 +2026-04-09 18:06:43,653 - INFO - Weighted F1: 0.7178 +2026-04-09 18:06:43,654 - INFO - +2026-04-09 18:06:43,654 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9201 +2026-04-09 18:06:43,654 - INFO - Horizon 0.1s - Overall F1: 0.9220, Precision: 0.9146, Recall: 0.9306 +2026-04-09 18:06:43,654 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 18:06:43,654 - INFO - Macro F1: 0.9220 +2026-04-09 18:06:43,654 - INFO - Weighted F1: 0.9200 +2026-04-09 18:06:43,654 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9635 +2026-04-09 18:06:43,654 - INFO - Horizon 0.1s - Steady F1: 0.9635, Precision: 0.9568, Recall: 0.9712 +2026-04-09 18:06:43,654 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 18:06:43,654 - INFO - Macro F1: 0.9635 +2026-04-09 18:06:43,654 - INFO - Weighted F1: 0.9636 +2026-04-09 18:06:43,655 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7226 +2026-04-09 18:06:43,655 - INFO - Horizon 0.1s - Transition F1: 0.7050, Precision: 0.6896, Recall: 0.7326 +2026-04-09 18:06:43,655 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 18:06:43,655 - INFO - Macro F1: 0.7050 +2026-04-09 18:06:43,655 - INFO - Weighted F1: 0.7227 +2026-04-09 18:06:43,655 - INFO - +2026-04-09 18:06:43,655 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9152 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Overall F1: 0.9174, Precision: 0.9122, Recall: 0.9248 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 18:06:43,655 - INFO - Macro F1: 0.9174 +2026-04-09 18:06:43,655 - INFO - Weighted F1: 0.9150 +2026-04-09 18:06:43,655 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9614 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Steady F1: 0.9613, Precision: 0.9539, Recall: 0.9699 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 18:06:43,655 - INFO - Macro F1: 0.9613 +2026-04-09 18:06:43,655 - INFO - Weighted F1: 0.9614 +2026-04-09 18:06:43,655 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7001 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Transition F1: 0.6952, Precision: 0.6974, Recall: 0.7154 +2026-04-09 18:06:43,655 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 18:06:43,655 - INFO - Macro F1: 0.6952 +2026-04-09 18:06:43,655 - INFO - Weighted F1: 0.7007 +2026-04-09 18:06:43,656 - INFO - +2026-04-09 18:06:43,656 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9133 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Overall F1: 0.9151, Precision: 0.9122, Recall: 0.9204 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 18:06:43,656 - INFO - Macro F1: 0.9151 +2026-04-09 18:06:43,656 - INFO - Weighted F1: 0.9132 +2026-04-09 18:06:43,656 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9579 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Steady F1: 0.9568, Precision: 0.9512, Recall: 0.9635 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 18:06:43,656 - INFO - Macro F1: 0.9568 +2026-04-09 18:06:43,656 - INFO - Weighted F1: 0.9579 +2026-04-09 18:06:43,656 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7106 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Transition F1: 0.6871, Precision: 0.6999, Recall: 0.6973 +2026-04-09 18:06:43,656 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 18:06:43,656 - INFO - Macro F1: 0.6871 +2026-04-09 18:06:43,656 - INFO - Weighted F1: 0.7106 +2026-04-09 18:06:43,656 - INFO - +2026-04-09 18:06:43,656 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9031 +2026-04-09 18:06:43,656 - INFO - Horizon 0.5s - Overall F1: 0.9052, Precision: 0.9037, Recall: 0.9091 +2026-04-09 18:06:43,656 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 18:06:43,656 - INFO - Macro F1: 0.9052 +2026-04-09 18:06:43,657 - INFO - Weighted F1: 0.9030 +2026-04-09 18:06:43,657 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9508 +2026-04-09 18:06:43,657 - INFO - Horizon 0.5s - Steady F1: 0.9486, Precision: 0.9418, Recall: 0.9567 +2026-04-09 18:06:43,657 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 18:06:43,657 - INFO - Macro F1: 0.9486 +2026-04-09 18:06:43,657 - INFO - Weighted F1: 0.9509 +2026-04-09 18:06:43,657 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6816 +2026-04-09 18:06:43,657 - INFO - Horizon 0.5s - Transition F1: 0.6749, Precision: 0.7054, Recall: 0.6713 +2026-04-09 18:06:43,657 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 18:06:43,657 - INFO - Macro F1: 0.6749 +2026-04-09 18:06:43,657 - INFO - Weighted F1: 0.6806 +2026-04-09 18:06:43,657 - INFO - +2026-04-09 18:06:43,657 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8753 +2026-04-09 18:06:43,657 - INFO - Horizon 1.0s - Overall F1: 0.8794, Precision: 0.8832, Recall: 0.8775 +2026-04-09 18:06:43,657 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 18:06:43,657 - INFO - Macro F1: 0.8794 +2026-04-09 18:06:43,657 - INFO - Weighted F1: 0.8752 +2026-04-09 18:06:43,657 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9296 +2026-04-09 18:06:43,657 - INFO - Horizon 1.0s - Steady F1: 0.9226, Precision: 0.9170, Recall: 0.9295 +2026-04-09 18:06:43,658 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 18:06:43,658 - INFO - Macro F1: 0.9226 +2026-04-09 18:06:43,658 - INFO - Weighted F1: 0.9297 +2026-04-09 18:06:43,658 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6187 +2026-04-09 18:06:43,658 - INFO - Horizon 1.0s - Transition F1: 0.6095, Precision: 0.6725, Recall: 0.5801 +2026-04-09 18:06:43,658 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 18:06:43,658 - INFO - Macro F1: 0.6095 +2026-04-09 18:06:43,658 - INFO - Weighted F1: 0.6178 +2026-04-09 18:06:45,074 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_22.pt +2026-04-09 18:06:45,075 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_22.csv +2026-04-09 18:06:45,076 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 18:06:45,077 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,078 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,078 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 18:06:45,079 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,080 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_22.csv +2026-04-09 18:06:45,080 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 18:06:45,081 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 18:06:45,082 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_22.csv +2026-04-09 18:06:45,082 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 18:06:45,083 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,084 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,084 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 18:06:45,085 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,086 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_22.csv +2026-04-09 18:06:45,086 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 18:06:45,087 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 18:06:45,088 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_22.csv +2026-04-09 18:06:45,088 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 18:06:45,089 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,090 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,090 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 18:06:45,091 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,092 - INFO - Saved transition 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18:06:45,094 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 18:06:45,095 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,096 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,096 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 18:06:45,097 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,098 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_22.csv +2026-04-09 18:06:45,098 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 18:06:45,099 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 18:06:45,100 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_22.csv +2026-04-09 18:06:45,100 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 18:06:45,101 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,102 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,102 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 18:06:45,103 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,104 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_22.csv +2026-04-09 18:06:45,104 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 18:06:45,105 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 18:06:45,106 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_22.csv +2026-04-09 18:06:45,107 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 18:06:45,108 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 18:06:45,109 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_22.csv +2026-04-09 18:06:45,111 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 18:06:45,111 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 18:06:45,113 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_22.csv +2026-04-09 18:06:45,114 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 18:06:45,114 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 18:06:45,130 - INFO - Removed old checkpoint: checkpoint_epoch_21.pt +2026-04-09 18:06:46,403 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 18:06:46,437 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 18:06:46,594 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 18:06:46,595 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 18:06:46,596 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 18:06:46,597 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 18:06:46,598 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 18:06:46,599 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 18:06:46,600 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 18:06:46,601 - INFO - Epoch 23/50, Learning Rate: 0.000030 +2026-04-09 18:33:27,791 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 18:33:27,861 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:33:27,920 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 18:33:27,987 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:33:28,060 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 18:33:28,119 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 18:33:30,469 - INFO - Epoch 23/50: +2026-04-09 18:33:30,469 - INFO - Train: loss=0.6292, accuracy_overall=0.9491 +2026-04-09 18:33:30,469 - INFO - Horizon 0.0s: accuracy=0.9579 +2026-04-09 18:33:30,469 - INFO - Horizon 0.1s: accuracy=0.9560 +2026-04-09 18:33:30,469 - INFO - Horizon 0.2s: accuracy=0.9597 +2026-04-09 18:33:30,470 - INFO - Horizon 0.3s: accuracy=0.9548 +2026-04-09 18:33:30,470 - INFO - Horizon 0.5s: accuracy=0.9463 +2026-04-09 18:33:30,470 - INFO - Horizon 1.0s: accuracy=0.9196 +2026-04-09 18:33:30,470 - INFO - Val Horizon 0.0s - Overall: loss=0.7201, accuracy=0.9173 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Overall F1: 0.9193, Precision: 0.9102, Recall: 0.9297 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 18:33:30,470 - INFO - Macro F1: 0.9193 +2026-04-09 18:33:30,470 - INFO - Weighted F1: 0.9171 +2026-04-09 18:33:30,470 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9625 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Steady F1: 0.9627, Precision: 0.9552, Recall: 0.9712 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 18:33:30,470 - INFO - Macro F1: 0.9627 +2026-04-09 18:33:30,470 - INFO - Weighted F1: 0.9626 +2026-04-09 18:33:30,470 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7084 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Transition F1: 0.6985, Precision: 0.6689, Recall: 0.7412 +2026-04-09 18:33:30,470 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 18:33:30,470 - INFO - Macro F1: 0.6985 +2026-04-09 18:33:30,470 - INFO - Weighted F1: 0.7079 +2026-04-09 18:33:30,470 - INFO - +2026-04-09 18:33:30,470 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9211 +2026-04-09 18:33:30,470 - INFO - Horizon 0.1s - Overall F1: 0.9241, Precision: 0.9139, Recall: 0.9358 +2026-04-09 18:33:30,470 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 18:33:30,470 - INFO - Macro F1: 0.9241 +2026-04-09 18:33:30,470 - INFO - Weighted F1: 0.9210 +2026-04-09 18:33:30,470 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9641 +2026-04-09 18:33:30,470 - INFO - Horizon 0.1s - Steady F1: 0.9655, Precision: 0.9568, Recall: 0.9753 +2026-04-09 18:33:30,470 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 18:33:30,471 - INFO - Macro F1: 0.9655 +2026-04-09 18:33:30,471 - INFO - Weighted F1: 0.9642 +2026-04-09 18:33:30,471 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7257 +2026-04-09 18:33:30,471 - INFO - Horizon 0.1s - Transition F1: 0.7146, Precision: 0.6835, Recall: 0.7588 +2026-04-09 18:33:30,471 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 18:33:30,471 - INFO - Macro F1: 0.7146 +2026-04-09 18:33:30,471 - INFO - Weighted F1: 0.7248 +2026-04-09 18:33:30,471 - INFO - +2026-04-09 18:33:30,471 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9176 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Overall F1: 0.9208, Precision: 0.9118, Recall: 0.9314 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 18:33:30,471 - INFO - Macro F1: 0.9208 +2026-04-09 18:33:30,471 - INFO - Weighted F1: 0.9176 +2026-04-09 18:33:30,471 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9616 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Steady F1: 0.9622, Precision: 0.9520, Recall: 0.9739 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 18:33:30,471 - INFO - Macro F1: 0.9622 +2026-04-09 18:33:30,471 - INFO - Weighted F1: 0.9618 +2026-04-09 18:33:30,471 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7124 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Transition F1: 0.7087, Precision: 0.6921, Recall: 0.7356 +2026-04-09 18:33:30,471 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 18:33:30,471 - INFO - Macro F1: 0.7087 +2026-04-09 18:33:30,471 - INFO - Weighted F1: 0.7096 +2026-04-09 18:33:30,471 - INFO - +2026-04-09 18:33:30,471 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9118 +2026-04-09 18:33:30,471 - INFO - Horizon 0.3s - Overall F1: 0.9164, Precision: 0.9077, Recall: 0.9276 +2026-04-09 18:33:30,471 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.9164 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.9120 +2026-04-09 18:33:30,472 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9577 +2026-04-09 18:33:30,472 - INFO - Horizon 0.3s - Steady F1: 0.9568, Precision: 0.9457, Recall: 0.9698 +2026-04-09 18:33:30,472 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.9568 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.9580 +2026-04-09 18:33:30,472 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7030 +2026-04-09 18:33:30,472 - INFO - Horizon 0.3s - Transition F1: 0.7043, Precision: 0.6965, Recall: 0.7326 +2026-04-09 18:33:30,472 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.7043 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.6988 +2026-04-09 18:33:30,472 - INFO - +2026-04-09 18:33:30,472 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9056 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Overall F1: 0.9094, Precision: 0.9044, Recall: 0.9157 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.9094 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.9053 +2026-04-09 18:33:30,472 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9526 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Steady F1: 0.9507, Precision: 0.9412, Recall: 0.9620 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.9507 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.9529 +2026-04-09 18:33:30,472 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6874 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Transition F1: 0.6887, Precision: 0.6840, Recall: 0.7081 +2026-04-09 18:33:30,472 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 18:33:30,472 - INFO - Macro F1: 0.6887 +2026-04-09 18:33:30,472 - INFO - Weighted F1: 0.6879 +2026-04-09 18:33:30,472 - INFO - +2026-04-09 18:33:30,472 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8756 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Overall F1: 0.8777, Precision: 0.8922, Recall: 0.8685 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 18:33:30,473 - INFO - Macro F1: 0.8777 +2026-04-09 18:33:30,473 - INFO - Weighted F1: 0.8740 +2026-04-09 18:33:30,473 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9332 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Steady F1: 0.9252, Precision: 0.9270, Recall: 0.9257 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 18:33:30,473 - INFO - Macro F1: 0.9252 +2026-04-09 18:33:30,473 - INFO - Weighted F1: 0.9331 +2026-04-09 18:33:30,473 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6031 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Transition F1: 0.5935, Precision: 0.6809, Recall: 0.5533 +2026-04-09 18:33:30,473 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 18:33:30,473 - INFO - Macro F1: 0.5935 +2026-04-09 18:33:30,473 - INFO - Weighted F1: 0.5982 +2026-04-09 18:33:31,628 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_23.pt +2026-04-09 18:33:31,633 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,634 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,635 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,636 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,637 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,637 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,638 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,639 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,640 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,641 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,642 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,643 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,644 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,645 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,646 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,647 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_23.csv +2026-04-09 18:33:31,648 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_23.csv +2026-04-09 18:33:31,649 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_23.csv +2026-04-09 18:33:31,671 - INFO - Removed old checkpoint: checkpoint_epoch_22.pt +2026-04-09 18:33:31,672 - INFO - Epoch 24/50, Learning Rate: 0.000028 +2026-04-09 18:58:21,692 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 18:58:21,777 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:58:21,854 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 18:58:21,920 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 18:58:21,989 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 18:58:22,065 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 18:58:24,378 - INFO - Epoch 24/50: +2026-04-09 18:58:24,378 - INFO - Train: loss=0.6328, accuracy_overall=0.9469 +2026-04-09 18:58:24,378 - INFO - Horizon 0.0s: accuracy=0.9612 +2026-04-09 18:58:24,378 - INFO - Horizon 0.1s: accuracy=0.9571 +2026-04-09 18:58:24,378 - INFO - Horizon 0.2s: accuracy=0.9529 +2026-04-09 18:58:24,378 - INFO - Horizon 0.3s: accuracy=0.9491 +2026-04-09 18:58:24,379 - INFO - Horizon 0.5s: accuracy=0.9429 +2026-04-09 18:58:24,379 - INFO - Horizon 1.0s: accuracy=0.9181 +2026-04-09 18:58:24,379 - INFO - Val Horizon 0.0s - Overall: loss=0.7217, accuracy=0.9147 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Overall F1: 0.9170, Precision: 0.9068, Recall: 0.9288 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 18:58:24,379 - INFO - Macro F1: 0.9170 +2026-04-09 18:58:24,379 - INFO - Weighted F1: 0.9144 +2026-04-09 18:58:24,379 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9598 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Steady F1: 0.9593, Precision: 0.9518, Recall: 0.9680 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 18:58:24,379 - INFO - Macro F1: 0.9593 +2026-04-09 18:58:24,379 - INFO - Weighted F1: 0.9598 +2026-04-09 18:58:24,379 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7064 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Transition F1: 0.6870, Precision: 0.6604, Recall: 0.7276 +2026-04-09 18:58:24,379 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 18:58:24,379 - INFO - Macro F1: 0.6870 +2026-04-09 18:58:24,379 - INFO - Weighted F1: 0.7060 +2026-04-09 18:58:24,379 - INFO - +2026-04-09 18:58:24,379 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9169 +2026-04-09 18:58:24,379 - INFO - Horizon 0.1s - Overall F1: 0.9200, Precision: 0.9102, Recall: 0.9319 +2026-04-09 18:58:24,379 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 18:58:24,379 - INFO - Macro F1: 0.9200 +2026-04-09 18:58:24,379 - INFO - Weighted F1: 0.9166 +2026-04-09 18:58:24,379 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9599 +2026-04-09 18:58:24,380 - INFO - Horizon 0.1s - Steady F1: 0.9608, Precision: 0.9536, Recall: 0.9693 +2026-04-09 18:58:24,380 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 18:58:24,380 - INFO - Macro F1: 0.9608 +2026-04-09 18:58:24,380 - INFO - Weighted F1: 0.9600 +2026-04-09 18:58:24,380 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7213 +2026-04-09 18:58:24,380 - INFO - Horizon 0.1s - Transition F1: 0.7123, Precision: 0.6796, Recall: 0.7673 +2026-04-09 18:58:24,380 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 18:58:24,380 - INFO - Macro F1: 0.7123 +2026-04-09 18:58:24,380 - INFO - Weighted F1: 0.7218 +2026-04-09 18:58:24,380 - INFO - +2026-04-09 18:58:24,380 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9109 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Overall F1: 0.9131, Precision: 0.9099, Recall: 0.9192 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 18:58:24,380 - INFO - Macro F1: 0.9131 +2026-04-09 18:58:24,380 - INFO - Weighted F1: 0.9102 +2026-04-09 18:58:24,380 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9589 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Steady F1: 0.9589, Precision: 0.9524, Recall: 0.9670 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 18:58:24,380 - INFO - Macro F1: 0.9589 +2026-04-09 18:58:24,380 - INFO - Weighted F1: 0.9590 +2026-04-09 18:58:24,380 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6873 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Transition F1: 0.6896, Precision: 0.6828, Recall: 0.7186 +2026-04-09 18:58:24,380 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 18:58:24,380 - INFO - Macro F1: 0.6896 +2026-04-09 18:58:24,380 - INFO - Weighted F1: 0.6879 +2026-04-09 18:58:24,380 - INFO - +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9067 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Overall F1: 0.9092, Precision: 0.9069, Recall: 0.9145 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 18:58:24,381 - INFO - Macro F1: 0.9092 +2026-04-09 18:58:24,381 - INFO - Weighted F1: 0.9062 +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9541 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Steady F1: 0.9510, Precision: 0.9461, Recall: 0.9577 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 18:58:24,381 - INFO - Macro F1: 0.9510 +2026-04-09 18:58:24,381 - INFO - Weighted F1: 0.9542 +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6910 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Transition F1: 0.7020, Precision: 0.6991, Recall: 0.7183 +2026-04-09 18:58:24,381 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 18:58:24,381 - INFO - Macro F1: 0.7020 +2026-04-09 18:58:24,381 - INFO - Weighted F1: 0.6915 +2026-04-09 18:58:24,381 - INFO - +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8958 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Overall F1: 0.8980, Precision: 0.9040, Recall: 0.8960 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 18:58:24,381 - INFO - Macro F1: 0.8980 +2026-04-09 18:58:24,381 - INFO - Weighted F1: 0.8946 +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9485 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Steady F1: 0.9434, Precision: 0.9450, Recall: 0.9443 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 18:58:24,381 - INFO - Macro F1: 0.9434 +2026-04-09 18:58:24,381 - INFO - Weighted F1: 0.9483 +2026-04-09 18:58:24,381 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6515 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Transition F1: 0.6619, Precision: 0.6862, Recall: 0.6516 +2026-04-09 18:58:24,381 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 18:58:24,382 - INFO - Macro F1: 0.6619 +2026-04-09 18:58:24,382 - INFO - Weighted F1: 0.6537 +2026-04-09 18:58:24,382 - INFO - +2026-04-09 18:58:24,382 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8738 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Overall F1: 0.8772, Precision: 0.8899, Recall: 0.8676 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 18:58:24,382 - INFO - Macro F1: 0.8772 +2026-04-09 18:58:24,382 - INFO - Weighted F1: 0.8727 +2026-04-09 18:58:24,382 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9313 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Steady F1: 0.9237, Precision: 0.9285, Recall: 0.9212 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 18:58:24,382 - INFO - Macro F1: 0.9237 +2026-04-09 18:58:24,382 - INFO - Weighted F1: 0.9309 +2026-04-09 18:58:24,382 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6018 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Transition F1: 0.5818, Precision: 0.6702, Recall: 0.5460 +2026-04-09 18:58:24,382 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 18:58:24,382 - INFO - Macro F1: 0.5818 +2026-04-09 18:58:24,382 - INFO - Weighted F1: 0.6014 +2026-04-09 18:58:25,399 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_24.pt +2026-04-09 18:58:25,401 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,402 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,403 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,403 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,404 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,405 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,406 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,406 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,407 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,408 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,409 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,410 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,411 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,412 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,412 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,413 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_24.csv +2026-04-09 18:58:25,414 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_24.csv +2026-04-09 18:58:25,415 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_24.csv +2026-04-09 18:58:25,434 - INFO - Removed old checkpoint: checkpoint_epoch_23.pt +2026-04-09 18:58:25,437 - INFO - Epoch 25/50, Learning Rate: 0.000027 +2026-04-09 19:22:56,493 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 19:22:56,559 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 19:22:56,615 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 19:22:56,683 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 19:22:56,743 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 19:22:56,806 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 19:22:59,162 - INFO - Epoch 25/50: +2026-04-09 19:22:59,163 - INFO - Train: loss=0.6298, accuracy_overall=0.9485 +2026-04-09 19:22:59,163 - INFO - Horizon 0.0s: accuracy=0.9576 +2026-04-09 19:22:59,163 - INFO - Horizon 0.1s: accuracy=0.9599 +2026-04-09 19:22:59,164 - INFO - Horizon 0.2s: accuracy=0.9558 +2026-04-09 19:22:59,164 - INFO - Horizon 0.3s: accuracy=0.9512 +2026-04-09 19:22:59,164 - INFO - Horizon 0.5s: accuracy=0.9453 +2026-04-09 19:22:59,164 - INFO - Horizon 1.0s: accuracy=0.9214 +2026-04-09 19:22:59,164 - INFO - Val Horizon 0.0s - Overall: loss=0.7131, accuracy=0.9181 +2026-04-09 19:22:59,164 - INFO - Horizon 0.0s - Overall F1: 0.9215, Precision: 0.9206, Recall: 0.9235 +2026-04-09 19:22:59,164 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 19:22:59,164 - INFO - Macro F1: 0.9215 +2026-04-09 19:22:59,164 - INFO - Weighted F1: 0.9182 +2026-04-09 19:22:59,164 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9621 +2026-04-09 19:22:59,164 - INFO - Horizon 0.0s - Steady F1: 0.9644, Precision: 0.9609, Recall: 0.9686 +2026-04-09 19:22:59,164 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 19:22:59,164 - INFO - Macro F1: 0.9644 +2026-04-09 19:22:59,165 - INFO - Weighted F1: 0.9622 +2026-04-09 19:22:59,165 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7147 +2026-04-09 19:22:59,165 - INFO - Horizon 0.0s - Transition F1: 0.6706, Precision: 0.6975, Recall: 0.6577 +2026-04-09 19:22:59,165 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 19:22:59,165 - INFO - Macro F1: 0.6706 +2026-04-09 19:22:59,165 - INFO - Weighted F1: 0.7117 +2026-04-09 19:22:59,165 - INFO - +2026-04-09 19:22:59,165 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9201 +2026-04-09 19:22:59,165 - INFO - Horizon 0.1s - Overall F1: 0.9236, Precision: 0.9212, Recall: 0.9271 +2026-04-09 19:22:59,165 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 19:22:59,165 - INFO - Macro F1: 0.9236 +2026-04-09 19:22:59,165 - INFO - Weighted F1: 0.9202 +2026-04-09 19:22:59,165 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9634 +2026-04-09 19:22:59,165 - INFO - Horizon 0.1s - Steady F1: 0.9658, Precision: 0.9600, Recall: 0.9724 +2026-04-09 19:22:59,165 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 19:22:59,165 - INFO - Macro F1: 0.9658 +2026-04-09 19:22:59,165 - INFO - Weighted F1: 0.9635 +2026-04-09 19:22:59,165 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7232 +2026-04-09 19:22:59,166 - INFO - Horizon 0.1s - Transition F1: 0.6743, Precision: 0.6884, Recall: 0.6703 +2026-04-09 19:22:59,166 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.6743 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.7213 +2026-04-09 19:22:59,166 - INFO - +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9187 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Overall F1: 0.9228, Precision: 0.9220, Recall: 0.9245 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.9228 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.9188 +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9630 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Steady F1: 0.9654, Precision: 0.9591, Recall: 0.9726 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.9654 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.9631 +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7124 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Transition F1: 0.6905, Precision: 0.7103, Recall: 0.6794 +2026-04-09 19:22:59,166 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.6905 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.7121 +2026-04-09 19:22:59,166 - INFO - +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9173 +2026-04-09 19:22:59,166 - INFO - Horizon 0.3s - Overall F1: 0.9220, Precision: 0.9181, Recall: 0.9273 +2026-04-09 19:22:59,166 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.9220 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.9174 +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9612 +2026-04-09 19:22:59,166 - INFO - Horizon 0.3s - Steady F1: 0.9620, Precision: 0.9556, Recall: 0.9693 +2026-04-09 19:22:59,166 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 19:22:59,166 - INFO - Macro F1: 0.9620 +2026-04-09 19:22:59,166 - INFO - Weighted F1: 0.9613 +2026-04-09 19:22:59,166 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7175 +2026-04-09 19:22:59,167 - INFO - Horizon 0.3s - Transition F1: 0.6974, Precision: 0.7078, Recall: 0.6958 +2026-04-09 19:22:59,167 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.6974 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.7153 +2026-04-09 19:22:59,167 - INFO - +2026-04-09 19:22:59,167 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9040 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Overall F1: 0.9088, Precision: 0.9120, Recall: 0.9074 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.9088 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.9036 +2026-04-09 19:22:59,167 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9536 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Steady F1: 0.9547, Precision: 0.9514, Recall: 0.9592 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.9547 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.9537 +2026-04-09 19:22:59,167 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6739 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Transition F1: 0.6655, Precision: 0.6926, Recall: 0.6605 +2026-04-09 19:22:59,167 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.6655 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.6751 +2026-04-09 19:22:59,167 - INFO - +2026-04-09 19:22:59,167 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8728 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Overall F1: 0.8778, Precision: 0.8896, Recall: 0.8700 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.8778 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.8717 +2026-04-09 19:22:59,167 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9274 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Steady F1: 0.9201, Precision: 0.9221, Recall: 0.9200 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.9201 +2026-04-09 19:22:59,167 - INFO - Weighted F1: 0.9272 +2026-04-09 19:22:59,167 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6148 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Transition F1: 0.6092, Precision: 0.6751, Recall: 0.5801 +2026-04-09 19:22:59,167 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 19:22:59,167 - INFO - Macro F1: 0.6092 +2026-04-09 19:22:59,168 - INFO - Weighted F1: 0.6140 +2026-04-09 19:23:00,239 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_25.pt +2026-04-09 19:23:00,242 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,243 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,244 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,245 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,246 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,247 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,248 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,249 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,250 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,251 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,252 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,253 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,256 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,257 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,258 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,259 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_25.csv +2026-04-09 19:23:00,260 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_25.csv +2026-04-09 19:23:00,261 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_25.csv +2026-04-09 19:23:00,275 - INFO - Removed old checkpoint: checkpoint_epoch_24.pt +2026-04-09 19:23:00,276 - INFO - Epoch 26/50, Learning Rate: 0.000025 +2026-04-09 19:47:52,118 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 19:47:52,188 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 19:47:52,249 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 19:47:52,307 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 19:47:52,370 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 19:47:52,438 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 19:47:54,394 - INFO - Epoch 26/50: +2026-04-09 19:47:54,395 - INFO - Train: loss=0.6203, accuracy_overall=0.9537 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s: accuracy=0.9603 +2026-04-09 19:47:54,395 - INFO - Horizon 0.1s: accuracy=0.9595 +2026-04-09 19:47:54,395 - INFO - Horizon 0.2s: accuracy=0.9605 +2026-04-09 19:47:54,395 - INFO - Horizon 0.3s: accuracy=0.9592 +2026-04-09 19:47:54,395 - INFO - Horizon 0.5s: accuracy=0.9536 +2026-04-09 19:47:54,395 - INFO - Horizon 1.0s: accuracy=0.9294 +2026-04-09 19:47:54,395 - INFO - Val Horizon 0.0s - Overall: loss=0.7165, accuracy=0.9199 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s - Overall F1: 0.9228, Precision: 0.9249, Recall: 0.9218 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 19:47:54,395 - INFO - Macro F1: 0.9228 +2026-04-09 19:47:54,395 - INFO - Weighted F1: 0.9199 +2026-04-09 19:47:54,395 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9616 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s - Steady F1: 0.9632, Precision: 0.9611, Recall: 0.9655 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 19:47:54,395 - INFO - Macro F1: 0.9632 +2026-04-09 19:47:54,395 - INFO - Weighted F1: 0.9617 +2026-04-09 19:47:54,395 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7275 +2026-04-09 19:47:54,395 - INFO - Horizon 0.0s - Transition F1: 0.6963, Precision: 0.7116, Recall: 0.6878 +2026-04-09 19:47:54,396 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 19:47:54,396 - INFO - Macro F1: 0.6963 +2026-04-09 19:47:54,396 - INFO - Weighted F1: 0.7264 +2026-04-09 19:47:54,396 - INFO - +2026-04-09 19:47:54,396 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9199 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Overall F1: 0.9233, Precision: 0.9240, Recall: 0.9232 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 19:47:54,396 - INFO - Macro F1: 0.9233 +2026-04-09 19:47:54,396 - INFO - Weighted F1: 0.9198 +2026-04-09 19:47:54,396 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9623 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Steady F1: 0.9644, Precision: 0.9616, Recall: 0.9675 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 19:47:54,396 - INFO - Macro F1: 0.9644 +2026-04-09 19:47:54,396 - INFO - Weighted F1: 0.9624 +2026-04-09 19:47:54,396 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7270 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Transition F1: 0.7072, Precision: 0.7125, Recall: 0.7084 +2026-04-09 19:47:54,396 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 19:47:54,396 - INFO - Macro F1: 0.7072 +2026-04-09 19:47:54,396 - INFO - Weighted F1: 0.7290 +2026-04-09 19:47:54,396 - INFO - +2026-04-09 19:47:54,396 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9155 +2026-04-09 19:47:54,396 - INFO - Horizon 0.2s - Overall F1: 0.9191, Precision: 0.9204, Recall: 0.9186 +2026-04-09 19:47:54,396 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 19:47:54,396 - INFO - Macro F1: 0.9191 +2026-04-09 19:47:54,396 - INFO - Weighted F1: 0.9152 +2026-04-09 19:47:54,396 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9609 +2026-04-09 19:47:54,396 - INFO - Horizon 0.2s - Steady F1: 0.9620, Precision: 0.9590, Recall: 0.9654 +2026-04-09 19:47:54,396 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.9620 +2026-04-09 19:47:54,397 - INFO - Weighted F1: 0.9610 +2026-04-09 19:47:54,397 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7033 +2026-04-09 19:47:54,397 - INFO - Horizon 0.2s - Transition F1: 0.6987, Precision: 0.7068, Recall: 0.7010 +2026-04-09 19:47:54,397 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.6987 +2026-04-09 19:47:54,397 - INFO - Weighted F1: 0.7051 +2026-04-09 19:47:54,397 - INFO - +2026-04-09 19:47:54,397 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9181 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Overall F1: 0.9214, Precision: 0.9208, Recall: 0.9224 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.9214 +2026-04-09 19:47:54,397 - INFO - Weighted F1: 0.9179 +2026-04-09 19:47:54,397 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9587 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Steady F1: 0.9583, Precision: 0.9562, Recall: 0.9606 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.9583 +2026-04-09 19:47:54,397 - INFO - Weighted F1: 0.9588 +2026-04-09 19:47:54,397 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7333 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Transition F1: 0.7249, Precision: 0.7257, Recall: 0.7308 +2026-04-09 19:47:54,397 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.7249 +2026-04-09 19:47:54,397 - INFO - Weighted F1: 0.7339 +2026-04-09 19:47:54,397 - INFO - +2026-04-09 19:47:54,397 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9023 +2026-04-09 19:47:54,397 - INFO - Horizon 0.5s - Overall F1: 0.9049, Precision: 0.9130, Recall: 0.8983 +2026-04-09 19:47:54,397 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 19:47:54,397 - INFO - Macro F1: 0.9049 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.9019 +2026-04-09 19:47:54,398 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9505 +2026-04-09 19:47:54,398 - INFO - Horizon 0.5s - Steady F1: 0.9479, Precision: 0.9472, Recall: 0.9498 +2026-04-09 19:47:54,398 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 19:47:54,398 - INFO - Macro F1: 0.9479 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.9507 +2026-04-09 19:47:54,398 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6784 +2026-04-09 19:47:54,398 - INFO - Horizon 0.5s - Transition F1: 0.6659, Precision: 0.7067, Recall: 0.6448 +2026-04-09 19:47:54,398 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 19:47:54,398 - INFO - Macro F1: 0.6659 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.6778 +2026-04-09 19:47:54,398 - INFO - +2026-04-09 19:47:54,398 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8675 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Overall F1: 0.8726, Precision: 0.8872, Recall: 0.8603 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 19:47:54,398 - INFO - Macro F1: 0.8726 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.8674 +2026-04-09 19:47:54,398 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9247 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Steady F1: 0.9170, Precision: 0.9202, Recall: 0.9149 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 19:47:54,398 - INFO - Macro F1: 0.9170 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.9251 +2026-04-09 19:47:54,398 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5973 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Transition F1: 0.5772, Precision: 0.6577, Recall: 0.5447 +2026-04-09 19:47:54,398 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 19:47:54,398 - INFO - Macro F1: 0.5772 +2026-04-09 19:47:54,398 - INFO - Weighted F1: 0.5937 +2026-04-09 19:47:55,585 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_26.pt +2026-04-09 19:47:55,587 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_26.csv +2026-04-09 19:47:55,588 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 19:47:55,589 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 19:47:55,590 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_26.csv +2026-04-09 19:47:55,591 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 19:47:55,591 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 19:47:55,592 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_26.csv +2026-04-09 19:47:55,593 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 19:47:55,594 - INFO - Saved 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INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_26.csv +2026-04-09 19:47:55,598 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 19:47:55,598 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 19:47:55,599 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_26.csv +2026-04-09 19:47:55,600 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 19:47:55,600 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 19:47:55,601 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_26.csv +2026-04-09 19:47:55,602 - INFO - Saved best overall horizon 0.2s model metrics: 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19:47:55,614 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 19:47:55,615 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_26.csv +2026-04-09 19:47:55,615 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 19:47:55,616 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 19:47:55,617 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_26.csv +2026-04-09 19:47:55,618 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 19:47:55,618 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 19:47:55,619 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_26.csv +2026-04-09 19:47:55,620 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 19:47:55,620 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 19:47:55,621 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_26.csv +2026-04-09 19:47:55,622 - INFO - Saved best overall 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+2026-04-09 19:47:55,638 - INFO - Removed old checkpoint: checkpoint_epoch_25.pt +2026-04-09 19:47:56,729 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 19:47:56,742 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 19:47:56,890 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 19:47:56,892 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 19:47:56,893 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 19:47:56,894 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 19:47:56,896 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 19:47:56,897 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 19:47:56,898 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 19:47:56,898 - INFO - Epoch 27/50, Learning Rate: 0.000023 +2026-04-09 20:13:00,802 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 20:13:00,877 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 20:13:00,943 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 20:13:01,005 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 20:13:01,072 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 20:13:01,137 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 20:13:03,136 - INFO - Epoch 27/50: +2026-04-09 20:13:03,136 - INFO - Train: loss=0.6176, accuracy_overall=0.9551 +2026-04-09 20:13:03,137 - INFO - Horizon 0.0s: accuracy=0.9630 +2026-04-09 20:13:03,137 - INFO - Horizon 0.1s: accuracy=0.9621 +2026-04-09 20:13:03,137 - INFO - Horizon 0.2s: accuracy=0.9637 +2026-04-09 20:13:03,137 - INFO - Horizon 0.3s: accuracy=0.9608 +2026-04-09 20:13:03,137 - INFO - Horizon 0.5s: accuracy=0.9492 +2026-04-09 20:13:03,137 - INFO - Horizon 1.0s: accuracy=0.9318 +2026-04-09 20:13:03,137 - INFO - Val Horizon 0.0s - Overall: loss=0.7359, accuracy=0.9150 +2026-04-09 20:13:03,137 - INFO - Horizon 0.0s - Overall F1: 0.9197, Precision: 0.9071, Recall: 0.9346 +2026-04-09 20:13:03,137 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 20:13:03,137 - INFO - Macro F1: 0.9197 +2026-04-09 20:13:03,137 - INFO - Weighted F1: 0.9150 +2026-04-09 20:13:03,137 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9559 +2026-04-09 20:13:03,137 - INFO - Horizon 0.0s - Steady F1: 0.9579, Precision: 0.9454, Recall: 0.9721 +2026-04-09 20:13:03,137 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 20:13:03,137 - INFO - Macro F1: 0.9579 +2026-04-09 20:13:03,137 - INFO - Weighted F1: 0.9560 +2026-04-09 20:13:03,138 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7262 +2026-04-09 20:13:03,138 - INFO - Horizon 0.0s - Transition F1: 0.7129, Precision: 0.6872, Recall: 0.7554 +2026-04-09 20:13:03,138 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 20:13:03,138 - INFO - Macro F1: 0.7129 +2026-04-09 20:13:03,138 - INFO - Weighted F1: 0.7246 +2026-04-09 20:13:03,138 - INFO - +2026-04-09 20:13:03,138 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9148 +2026-04-09 20:13:03,138 - INFO - Horizon 0.1s - Overall F1: 0.9200, Precision: 0.9076, Recall: 0.9351 +2026-04-09 20:13:03,138 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 20:13:03,138 - INFO - Macro F1: 0.9200 +2026-04-09 20:13:03,138 - INFO - Weighted F1: 0.9148 +2026-04-09 20:13:03,138 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9566 +2026-04-09 20:13:03,138 - INFO - Horizon 0.1s - Steady F1: 0.9589, Precision: 0.9453, Recall: 0.9746 +2026-04-09 20:13:03,138 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 20:13:03,138 - INFO - Macro F1: 0.9589 +2026-04-09 20:13:03,138 - INFO - Weighted F1: 0.9568 +2026-04-09 20:13:03,139 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7245 +2026-04-09 20:13:03,139 - INFO - Horizon 0.1s - Transition F1: 0.7085, Precision: 0.6856, Recall: 0.7500 +2026-04-09 20:13:03,139 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 20:13:03,139 - INFO - Macro F1: 0.7085 +2026-04-09 20:13:03,139 - INFO - Weighted F1: 0.7226 +2026-04-09 20:13:03,139 - INFO - +2026-04-09 20:13:03,139 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9100 +2026-04-09 20:13:03,139 - INFO - Horizon 0.2s - Overall F1: 0.9141, Precision: 0.9086, Recall: 0.9234 +2026-04-09 20:13:03,139 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 20:13:03,139 - INFO - Macro F1: 0.9141 +2026-04-09 20:13:03,139 - INFO - Weighted F1: 0.9099 +2026-04-09 20:13:03,139 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9529 +2026-04-09 20:13:03,140 - INFO - Horizon 0.2s - Steady F1: 0.9552, Precision: 0.9440, Recall: 0.9691 +2026-04-09 20:13:03,140 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 20:13:03,140 - INFO - Macro F1: 0.9552 +2026-04-09 20:13:03,140 - INFO - Weighted F1: 0.9531 +2026-04-09 20:13:03,140 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7098 +2026-04-09 20:13:03,140 - INFO - Horizon 0.2s - Transition F1: 0.7018, Precision: 0.7013, Recall: 0.7255 +2026-04-09 20:13:03,140 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 20:13:03,140 - INFO - Macro F1: 0.7018 +2026-04-09 20:13:03,140 - INFO - Weighted F1: 0.7106 +2026-04-09 20:13:03,140 - INFO - +2026-04-09 20:13:03,140 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9062 +2026-04-09 20:13:03,140 - INFO - Horizon 0.3s - Overall F1: 0.9114, Precision: 0.9046, Recall: 0.9210 +2026-04-09 20:13:03,140 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 20:13:03,140 - INFO - Macro F1: 0.9114 +2026-04-09 20:13:03,140 - INFO - Weighted F1: 0.9064 +2026-04-09 20:13:03,140 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9513 +2026-04-09 20:13:03,140 - INFO - Horizon 0.3s - Steady F1: 0.9527, Precision: 0.9428, Recall: 0.9648 +2026-04-09 20:13:03,140 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 20:13:03,140 - INFO - Macro F1: 0.9527 +2026-04-09 20:13:03,141 - INFO - Weighted F1: 0.9516 +2026-04-09 20:13:03,141 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7011 +2026-04-09 20:13:03,141 - INFO - Horizon 0.3s - Transition F1: 0.6908, Precision: 0.6851, Recall: 0.7143 +2026-04-09 20:13:03,141 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 20:13:03,141 - INFO - Macro F1: 0.6908 +2026-04-09 20:13:03,141 - INFO - Weighted F1: 0.7010 +2026-04-09 20:13:03,141 - INFO - +2026-04-09 20:13:03,141 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8938 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Overall F1: 0.8987, Precision: 0.8957, Recall: 0.9056 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 20:13:03,141 - INFO - Macro F1: 0.8987 +2026-04-09 20:13:03,141 - INFO - Weighted F1: 0.8939 +2026-04-09 20:13:03,141 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9420 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Steady F1: 0.9412, Precision: 0.9319, Recall: 0.9535 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 20:13:03,141 - INFO - Macro F1: 0.9412 +2026-04-09 20:13:03,141 - INFO - Weighted F1: 0.9424 +2026-04-09 20:13:03,141 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6701 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Transition F1: 0.6665, Precision: 0.6891, Recall: 0.6777 +2026-04-09 20:13:03,141 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 20:13:03,141 - INFO - Macro F1: 0.6665 +2026-04-09 20:13:03,141 - INFO - Weighted F1: 0.6715 +2026-04-09 20:13:03,141 - INFO - +2026-04-09 20:13:03,142 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8681 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Overall F1: 0.8744, Precision: 0.8749, Recall: 0.8765 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 20:13:03,142 - INFO - Macro F1: 0.8744 +2026-04-09 20:13:03,142 - INFO - Weighted F1: 0.8693 +2026-04-09 20:13:03,142 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9212 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Steady F1: 0.9150, Precision: 0.9056, Recall: 0.9275 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 20:13:03,142 - INFO - Macro F1: 0.9150 +2026-04-09 20:13:03,142 - INFO - Weighted F1: 0.9222 +2026-04-09 20:13:03,142 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6168 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Transition F1: 0.6020, Precision: 0.6635, Recall: 0.5790 +2026-04-09 20:13:03,142 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 20:13:03,142 - INFO - Macro F1: 0.6020 +2026-04-09 20:13:03,142 - INFO - Weighted F1: 0.6157 +2026-04-09 20:13:04,255 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_27.pt +2026-04-09 20:13:04,259 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,260 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,261 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,261 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,262 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,263 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,264 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,264 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,265 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,266 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,267 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,268 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,268 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,269 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,270 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,271 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_27.csv +2026-04-09 20:13:04,271 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_27.csv +2026-04-09 20:13:04,272 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_27.csv +2026-04-09 20:13:04,282 - INFO - Removed old checkpoint: checkpoint_epoch_26.pt +2026-04-09 20:13:04,283 - INFO - Epoch 28/50, Learning Rate: 0.000022 +2026-04-09 20:37:37,501 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 20:37:37,568 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 20:37:37,627 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 20:37:37,691 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 20:37:37,761 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 20:37:37,820 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 20:37:39,803 - INFO - Epoch 28/50: +2026-04-09 20:37:39,803 - INFO - Train: loss=0.6179, accuracy_overall=0.9545 +2026-04-09 20:37:39,803 - INFO - Horizon 0.0s: accuracy=0.9610 +2026-04-09 20:37:39,803 - INFO - Horizon 0.1s: accuracy=0.9669 +2026-04-09 20:37:39,803 - INFO - Horizon 0.2s: accuracy=0.9649 +2026-04-09 20:37:39,803 - INFO - Horizon 0.3s: accuracy=0.9579 +2026-04-09 20:37:39,803 - INFO - Horizon 0.5s: accuracy=0.9491 +2026-04-09 20:37:39,803 - INFO - Horizon 1.0s: accuracy=0.9273 +2026-04-09 20:37:39,803 - INFO - Val Horizon 0.0s - Overall: loss=0.7426, accuracy=0.9099 +2026-04-09 20:37:39,803 - INFO - Horizon 0.0s - Overall F1: 0.9134, Precision: 0.9005, Recall: 0.9292 +2026-04-09 20:37:39,803 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 20:37:39,803 - INFO - Macro F1: 0.9134 +2026-04-09 20:37:39,803 - INFO - Weighted F1: 0.9096 +2026-04-09 20:37:39,804 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9516 +2026-04-09 20:37:39,804 - INFO - Horizon 0.0s - Steady F1: 0.9552, Precision: 0.9438, Recall: 0.9691 +2026-04-09 20:37:39,804 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 20:37:39,804 - INFO - Macro F1: 0.9552 +2026-04-09 20:37:39,804 - INFO - Weighted F1: 0.9516 +2026-04-09 20:37:39,804 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7173 +2026-04-09 20:37:39,804 - INFO - Horizon 0.0s - Transition F1: 0.7106, Precision: 0.6911, Recall: 0.7412 +2026-04-09 20:37:39,804 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 20:37:39,804 - INFO - Macro F1: 0.7106 +2026-04-09 20:37:39,804 - INFO - Weighted F1: 0.7178 +2026-04-09 20:37:39,804 - INFO - +2026-04-09 20:37:39,804 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9083 +2026-04-09 20:37:39,804 - INFO - Horizon 0.1s - Overall F1: 0.9114, Precision: 0.8942, Recall: 0.9315 +2026-04-09 20:37:39,804 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 20:37:39,804 - INFO - Macro F1: 0.9114 +2026-04-09 20:37:39,804 - INFO - Weighted F1: 0.9080 +2026-04-09 20:37:39,804 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9520 +2026-04-09 20:37:39,804 - INFO - Horizon 0.1s - Steady F1: 0.9560, Precision: 0.9416, Recall: 0.9729 +2026-04-09 20:37:39,804 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 20:37:39,804 - INFO - Macro F1: 0.9560 +2026-04-09 20:37:39,805 - INFO - Weighted F1: 0.9520 +2026-04-09 20:37:39,805 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7093 +2026-04-09 20:37:39,805 - INFO - Horizon 0.1s - Transition F1: 0.6927, Precision: 0.6573, Recall: 0.7418 +2026-04-09 20:37:39,805 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 20:37:39,805 - INFO - Macro F1: 0.6927 +2026-04-09 20:37:39,805 - INFO - Weighted F1: 0.7094 +2026-04-09 20:37:39,805 - INFO - +2026-04-09 20:37:39,805 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9082 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Overall F1: 0.9115, Precision: 0.8982, Recall: 0.9276 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 20:37:39,805 - INFO - Macro F1: 0.9115 +2026-04-09 20:37:39,805 - INFO - Weighted F1: 0.9079 +2026-04-09 20:37:39,805 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9513 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Steady F1: 0.9547, Precision: 0.9416, Recall: 0.9704 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 20:37:39,805 - INFO - Macro F1: 0.9547 +2026-04-09 20:37:39,805 - INFO - Weighted F1: 0.9513 +2026-04-09 20:37:39,805 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7072 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Transition F1: 0.7006, Precision: 0.6786, Recall: 0.7332 +2026-04-09 20:37:39,805 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 20:37:39,805 - INFO - Macro F1: 0.7006 +2026-04-09 20:37:39,805 - INFO - Weighted F1: 0.7078 +2026-04-09 20:37:39,805 - INFO - +2026-04-09 20:37:39,806 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9049 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Overall F1: 0.9089, Precision: 0.8936, Recall: 0.9267 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 20:37:39,806 - INFO - Macro F1: 0.9089 +2026-04-09 20:37:39,806 - INFO - Weighted F1: 0.9046 +2026-04-09 20:37:39,806 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9477 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Steady F1: 0.9492, Precision: 0.9361, Recall: 0.9650 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 20:37:39,806 - INFO - Macro F1: 0.9492 +2026-04-09 20:37:39,806 - INFO - Weighted F1: 0.9477 +2026-04-09 20:37:39,806 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7100 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Transition F1: 0.7069, Precision: 0.6812, Recall: 0.7415 +2026-04-09 20:37:39,806 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 20:37:39,806 - INFO - Macro F1: 0.7069 +2026-04-09 20:37:39,806 - INFO - Weighted F1: 0.7088 +2026-04-09 20:37:39,806 - INFO - +2026-04-09 20:37:39,806 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8953 +2026-04-09 20:37:39,806 - INFO - Horizon 0.5s - Overall F1: 0.8982, Precision: 0.8893, Recall: 0.9107 +2026-04-09 20:37:39,806 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 20:37:39,806 - INFO - Macro F1: 0.8982 +2026-04-09 20:37:39,807 - INFO - Weighted F1: 0.8945 +2026-04-09 20:37:39,807 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9438 +2026-04-09 20:37:39,807 - INFO - Horizon 0.5s - Steady F1: 0.9430, Precision: 0.9321, Recall: 0.9568 +2026-04-09 20:37:39,807 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 20:37:39,807 - INFO - Macro F1: 0.9430 +2026-04-09 20:37:39,807 - INFO - Weighted F1: 0.9437 +2026-04-09 20:37:39,807 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6707 +2026-04-09 20:37:39,807 - INFO - Horizon 0.5s - Transition F1: 0.6837, Precision: 0.6680, Recall: 0.7171 +2026-04-09 20:37:39,807 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 20:37:39,807 - INFO - Macro F1: 0.6837 +2026-04-09 20:37:39,807 - INFO - Weighted F1: 0.6726 +2026-04-09 20:37:39,807 - INFO - +2026-04-09 20:37:39,807 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8722 +2026-04-09 20:37:39,807 - INFO - Horizon 1.0s - Overall F1: 0.8754, Precision: 0.8655, Recall: 0.8883 +2026-04-09 20:37:39,807 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 20:37:39,807 - INFO - Macro F1: 0.8754 +2026-04-09 20:37:39,807 - INFO - Weighted F1: 0.8711 +2026-04-09 20:37:39,807 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9259 +2026-04-09 20:37:39,807 - INFO - Horizon 1.0s - Steady F1: 0.9186, Precision: 0.9077, Recall: 0.9323 +2026-04-09 20:37:39,808 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 20:37:39,808 - INFO - Macro F1: 0.9186 +2026-04-09 20:37:39,808 - INFO - Weighted F1: 0.9254 +2026-04-09 20:37:39,808 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6181 +2026-04-09 20:37:39,808 - INFO - Horizon 1.0s - Transition F1: 0.6325, Precision: 0.6253, Recall: 0.6514 +2026-04-09 20:37:39,808 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 20:37:39,808 - INFO - Macro F1: 0.6325 +2026-04-09 20:37:39,808 - INFO - Weighted F1: 0.6198 +2026-04-09 20:37:40,873 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_28.pt +2026-04-09 20:37:40,875 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,875 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,876 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,877 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,878 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,879 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,879 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,880 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,881 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,882 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,882 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,883 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,884 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,885 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,885 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,886 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_28.csv +2026-04-09 20:37:40,887 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_28.csv +2026-04-09 20:37:40,888 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_28.csv +2026-04-09 20:37:40,899 - INFO - Removed old checkpoint: checkpoint_epoch_27.pt +2026-04-09 20:37:40,900 - INFO - Epoch 29/50, Learning Rate: 0.000020 +2026-04-09 21:02:26,203 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 21:02:26,274 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:02:26,332 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 21:02:26,396 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:02:26,463 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 21:02:26,520 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 21:02:28,621 - INFO - Epoch 29/50: +2026-04-09 21:02:28,622 - INFO - Train: loss=0.6186, accuracy_overall=0.9546 +2026-04-09 21:02:28,622 - INFO - Horizon 0.0s: accuracy=0.9637 +2026-04-09 21:02:28,622 - INFO - Horizon 0.1s: accuracy=0.9644 +2026-04-09 21:02:28,622 - INFO - Horizon 0.2s: accuracy=0.9605 +2026-04-09 21:02:28,623 - INFO - Horizon 0.3s: accuracy=0.9589 +2026-04-09 21:02:28,623 - INFO - Horizon 0.5s: accuracy=0.9527 +2026-04-09 21:02:28,623 - INFO - Horizon 1.0s: accuracy=0.9273 +2026-04-09 21:02:28,623 - INFO - Val Horizon 0.0s - Overall: loss=0.7088, accuracy=0.9219 +2026-04-09 21:02:28,623 - INFO - Horizon 0.0s - Overall F1: 0.9223, Precision: 0.9109, Recall: 0.9356 +2026-04-09 21:02:28,623 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 21:02:28,623 - INFO - Macro F1: 0.9223 +2026-04-09 21:02:28,623 - INFO - Weighted F1: 0.9219 +2026-04-09 21:02:28,623 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9650 +2026-04-09 21:02:28,623 - INFO - Horizon 0.0s - Steady F1: 0.9649, Precision: 0.9561, Recall: 0.9748 +2026-04-09 21:02:28,623 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 21:02:28,623 - INFO - Macro F1: 0.9649 +2026-04-09 21:02:28,623 - INFO - Weighted F1: 0.9651 +2026-04-09 21:02:28,624 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7230 +2026-04-09 21:02:28,624 - INFO - Horizon 0.0s - Transition F1: 0.6975, Precision: 0.6771, Recall: 0.7345 +2026-04-09 21:02:28,624 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 21:02:28,624 - INFO - Macro F1: 0.6975 +2026-04-09 21:02:28,624 - INFO - Weighted F1: 0.7193 +2026-04-09 21:02:28,624 - INFO - +2026-04-09 21:02:28,624 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9249 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Overall F1: 0.9261, Precision: 0.9127, Recall: 0.9411 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 21:02:28,624 - INFO - Macro F1: 0.9261 +2026-04-09 21:02:28,624 - INFO - Weighted F1: 0.9249 +2026-04-09 21:02:28,624 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9678 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Steady F1: 0.9681, Precision: 0.9577, Recall: 0.9796 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 21:02:28,624 - INFO - Macro F1: 0.9681 +2026-04-09 21:02:28,624 - INFO - Weighted F1: 0.9679 +2026-04-09 21:02:28,624 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7295 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Transition F1: 0.7014, Precision: 0.6718, Recall: 0.7471 +2026-04-09 21:02:28,624 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 21:02:28,624 - INFO - Macro F1: 0.7014 +2026-04-09 21:02:28,625 - INFO - Weighted F1: 0.7274 +2026-04-09 21:02:28,625 - INFO - +2026-04-09 21:02:28,625 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9235 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Overall F1: 0.9255, Precision: 0.9154, Recall: 0.9374 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 21:02:28,625 - INFO - Macro F1: 0.9255 +2026-04-09 21:02:28,625 - INFO - Weighted F1: 0.9236 +2026-04-09 21:02:28,625 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9656 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Steady F1: 0.9658, Precision: 0.9554, Recall: 0.9776 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 21:02:28,625 - INFO - Macro F1: 0.9658 +2026-04-09 21:02:28,625 - INFO - Weighted F1: 0.9658 +2026-04-09 21:02:28,625 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7272 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Transition F1: 0.7188, Precision: 0.7007, Recall: 0.7523 +2026-04-09 21:02:28,625 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 21:02:28,625 - INFO - Macro F1: 0.7188 +2026-04-09 21:02:28,625 - INFO - Weighted F1: 0.7261 +2026-04-09 21:02:28,626 - INFO - +2026-04-09 21:02:28,626 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9187 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Overall F1: 0.9219, Precision: 0.9129, Recall: 0.9322 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 21:02:28,626 - INFO - Macro F1: 0.9219 +2026-04-09 21:02:28,626 - INFO - Weighted F1: 0.9189 +2026-04-09 21:02:28,626 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9627 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Steady F1: 0.9614, Precision: 0.9523, Recall: 0.9718 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 21:02:28,626 - INFO - Macro F1: 0.9614 +2026-04-09 21:02:28,626 - INFO - Weighted F1: 0.9629 +2026-04-09 21:02:28,626 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7188 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Transition F1: 0.7159, Precision: 0.7003, Recall: 0.7395 +2026-04-09 21:02:28,626 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 21:02:28,626 - INFO - Macro F1: 0.7159 +2026-04-09 21:02:28,626 - INFO - Weighted F1: 0.7173 +2026-04-09 21:02:28,626 - INFO - +2026-04-09 21:02:28,627 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9094 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Overall F1: 0.9126, Precision: 0.9098, Recall: 0.9168 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 21:02:28,627 - INFO - Macro F1: 0.9126 +2026-04-09 21:02:28,627 - INFO - Weighted F1: 0.9092 +2026-04-09 21:02:28,627 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9576 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Steady F1: 0.9553, Precision: 0.9478, Recall: 0.9642 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 21:02:28,627 - INFO - Macro F1: 0.9553 +2026-04-09 21:02:28,627 - INFO - Weighted F1: 0.9578 +2026-04-09 21:02:28,627 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6861 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Transition F1: 0.6921, Precision: 0.6999, Recall: 0.6986 +2026-04-09 21:02:28,627 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 21:02:28,627 - INFO - Macro F1: 0.6921 +2026-04-09 21:02:28,628 - INFO - Weighted F1: 0.6877 +2026-04-09 21:02:28,628 - INFO - +2026-04-09 21:02:28,628 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8839 +2026-04-09 21:02:28,628 - INFO - Horizon 1.0s - Overall F1: 0.8866, Precision: 0.8937, Recall: 0.8811 +2026-04-09 21:02:28,628 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 21:02:28,628 - INFO - Macro F1: 0.8866 +2026-04-09 21:02:28,628 - INFO - Weighted F1: 0.8837 +2026-04-09 21:02:28,628 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9374 +2026-04-09 21:02:28,628 - INFO - Horizon 1.0s - Steady F1: 0.9296, Precision: 0.9261, Recall: 0.9339 +2026-04-09 21:02:28,628 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 21:02:28,628 - INFO - Macro F1: 0.9296 +2026-04-09 21:02:28,628 - INFO - Weighted F1: 0.9376 +2026-04-09 21:02:28,628 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6311 +2026-04-09 21:02:28,628 - INFO - Horizon 1.0s - Transition F1: 0.6040, Precision: 0.6724, Recall: 0.5722 +2026-04-09 21:02:28,629 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 21:02:28,629 - INFO - Macro F1: 0.6040 +2026-04-09 21:02:28,629 - INFO - Weighted F1: 0.6313 +2026-04-09 21:02:29,699 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_29.pt +2026-04-09 21:02:29,700 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_29.csv +2026-04-09 21:02:29,701 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 21:02:29,702 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 21:02:29,703 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_29.csv +2026-04-09 21:02:29,703 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 21:02:29,704 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 21:02:29,705 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_29.csv +2026-04-09 21:02:29,705 - INFO - Saved best transition horizon 0.0s model metrics: 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train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 21:02:30,998 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 21:02:30,999 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 21:02:31,000 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 21:02:31,001 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 21:02:31,002 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 21:02:31,002 - INFO - Epoch 30/50, Learning Rate: 0.000019 +2026-04-09 21:26:47,541 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 21:26:47,620 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:26:47,687 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 21:26:47,760 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:26:47,829 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 21:26:47,897 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 21:26:50,333 - INFO - Epoch 30/50: +2026-04-09 21:26:50,334 - INFO - Train: loss=0.6146, accuracy_overall=0.9570 +2026-04-09 21:26:50,334 - INFO - Horizon 0.0s: accuracy=0.9634 +2026-04-09 21:26:50,334 - INFO - Horizon 0.1s: accuracy=0.9658 +2026-04-09 21:26:50,334 - INFO - Horizon 0.2s: accuracy=0.9633 +2026-04-09 21:26:50,335 - INFO - Horizon 0.3s: accuracy=0.9627 +2026-04-09 21:26:50,335 - INFO - Horizon 0.5s: accuracy=0.9537 +2026-04-09 21:26:50,335 - INFO - Horizon 1.0s: accuracy=0.9328 +2026-04-09 21:26:50,335 - INFO - Val Horizon 0.0s - Overall: loss=0.7210, accuracy=0.9198 +2026-04-09 21:26:50,335 - INFO - Horizon 0.0s - Overall F1: 0.9221, Precision: 0.9221, Recall: 0.9241 +2026-04-09 21:26:50,335 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 21:26:50,335 - INFO - Macro F1: 0.9221 +2026-04-09 21:26:50,335 - INFO - Weighted F1: 0.9195 +2026-04-09 21:26:50,335 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9642 +2026-04-09 21:26:50,335 - INFO - Horizon 0.0s - Steady F1: 0.9669, Precision: 0.9644, Recall: 0.9705 +2026-04-09 21:26:50,335 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 21:26:50,336 - INFO - Macro F1: 0.9669 +2026-04-09 21:26:50,336 - INFO - Weighted F1: 0.9643 +2026-04-09 21:26:50,336 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7147 +2026-04-09 21:26:50,336 - INFO - Horizon 0.0s - Transition F1: 0.6880, Precision: 0.6905, Recall: 0.7028 +2026-04-09 21:26:50,336 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 21:26:50,336 - INFO - Macro F1: 0.6880 +2026-04-09 21:26:50,336 - INFO - Weighted F1: 0.7158 +2026-04-09 21:26:50,336 - INFO - +2026-04-09 21:26:50,336 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9178 +2026-04-09 21:26:50,336 - INFO - Horizon 0.1s - Overall F1: 0.9218, Precision: 0.9230, Recall: 0.9226 +2026-04-09 21:26:50,336 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 21:26:50,336 - INFO - Macro F1: 0.9218 +2026-04-09 21:26:50,337 - INFO - Weighted F1: 0.9174 +2026-04-09 21:26:50,337 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9642 +2026-04-09 21:26:50,337 - INFO - Horizon 0.1s - Steady F1: 0.9674, Precision: 0.9643, Recall: 0.9713 +2026-04-09 21:26:50,337 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 21:26:50,337 - INFO - Macro F1: 0.9674 +2026-04-09 21:26:50,337 - INFO - Weighted F1: 0.9643 +2026-04-09 21:26:50,337 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7068 +2026-04-09 21:26:50,337 - INFO - Horizon 0.1s - Transition F1: 0.6869, Precision: 0.6850, Recall: 0.7035 +2026-04-09 21:26:50,337 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 21:26:50,337 - INFO - Macro F1: 0.6869 +2026-04-09 21:26:50,338 - INFO - Weighted F1: 0.7094 +2026-04-09 21:26:50,338 - INFO - +2026-04-09 21:26:50,338 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9107 +2026-04-09 21:26:50,338 - INFO - Horizon 0.2s - Overall F1: 0.9139, Precision: 0.9206, Recall: 0.9110 +2026-04-09 21:26:50,338 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 21:26:50,338 - INFO - Macro F1: 0.9139 +2026-04-09 21:26:50,338 - INFO - Weighted F1: 0.9098 +2026-04-09 21:26:50,338 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9608 +2026-04-09 21:26:50,338 - INFO - Horizon 0.2s - Steady F1: 0.9630, Precision: 0.9619, Recall: 0.9652 +2026-04-09 21:26:50,338 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 21:26:50,338 - INFO - Macro F1: 0.9630 +2026-04-09 21:26:50,338 - INFO - Weighted F1: 0.9609 +2026-04-09 21:26:50,339 - INFO - Val Horizon 0.2s - Transition: accuracy=0.6770 +2026-04-09 21:26:50,339 - INFO - Horizon 0.2s - Transition F1: 0.6833, Precision: 0.6958, Recall: 0.6952 +2026-04-09 21:26:50,339 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 21:26:50,339 - INFO - Macro F1: 0.6833 +2026-04-09 21:26:50,339 - INFO - Weighted F1: 0.6789 +2026-04-09 21:26:50,339 - INFO - +2026-04-09 21:26:50,339 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9099 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Overall F1: 0.9137, Precision: 0.9157, Recall: 0.9141 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 21:26:50,339 - INFO - Macro F1: 0.9137 +2026-04-09 21:26:50,339 - INFO - Weighted F1: 0.9095 +2026-04-09 21:26:50,339 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9562 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Steady F1: 0.9562, Precision: 0.9551, Recall: 0.9585 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 21:26:50,339 - INFO - Macro F1: 0.9562 +2026-04-09 21:26:50,339 - INFO - Weighted F1: 0.9562 +2026-04-09 21:26:50,339 - INFO - Val Horizon 0.3s - Transition: accuracy=0.6992 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Transition F1: 0.6978, Precision: 0.7067, Recall: 0.7045 +2026-04-09 21:26:50,339 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 21:26:50,339 - INFO - Macro F1: 0.6978 +2026-04-09 21:26:50,339 - INFO - Weighted F1: 0.7003 +2026-04-09 21:26:50,339 - INFO - +2026-04-09 21:26:50,340 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9007 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Overall F1: 0.9046, Precision: 0.9129, Recall: 0.8996 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 21:26:50,340 - INFO - Macro F1: 0.9046 +2026-04-09 21:26:50,340 - INFO - Weighted F1: 0.8998 +2026-04-09 21:26:50,340 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9517 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Steady F1: 0.9495, Precision: 0.9516, Recall: 0.9494 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 21:26:50,340 - INFO - Macro F1: 0.9495 +2026-04-09 21:26:50,340 - INFO - Weighted F1: 0.9516 +2026-04-09 21:26:50,340 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6643 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Transition F1: 0.6636, Precision: 0.7007, Recall: 0.6535 +2026-04-09 21:26:50,340 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 21:26:50,340 - INFO - Macro F1: 0.6636 +2026-04-09 21:26:50,340 - INFO - Weighted F1: 0.6649 +2026-04-09 21:26:50,340 - INFO - +2026-04-09 21:26:50,340 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8741 +2026-04-09 21:26:50,340 - INFO - Horizon 1.0s - Overall F1: 0.8797, Precision: 0.8892, Recall: 0.8738 +2026-04-09 21:26:50,340 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 21:26:50,340 - INFO - Macro F1: 0.8797 +2026-04-09 21:26:50,340 - INFO - Weighted F1: 0.8726 +2026-04-09 21:26:50,341 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9320 +2026-04-09 21:26:50,341 - INFO - Horizon 1.0s - Steady F1: 0.9238, Precision: 0.9245, Recall: 0.9254 +2026-04-09 21:26:50,341 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 21:26:50,341 - INFO - Macro F1: 0.9238 +2026-04-09 21:26:50,341 - INFO - Weighted F1: 0.9317 +2026-04-09 21:26:50,341 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6005 +2026-04-09 21:26:50,341 - INFO - Horizon 1.0s - Transition F1: 0.6076, Precision: 0.6569, Recall: 0.5876 +2026-04-09 21:26:50,341 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 21:26:50,341 - INFO - Macro F1: 0.6076 +2026-04-09 21:26:50,341 - INFO - Weighted F1: 0.6024 +2026-04-09 21:26:51,376 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_30.pt +2026-04-09 21:26:51,378 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,379 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,380 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,380 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,381 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,382 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,383 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,383 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,384 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,385 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,386 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,386 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,387 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,388 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,389 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,389 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_30.csv +2026-04-09 21:26:51,390 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_30.csv +2026-04-09 21:26:51,391 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_30.csv +2026-04-09 21:26:51,400 - INFO - Removed old checkpoint: checkpoint_epoch_29.pt +2026-04-09 21:26:51,401 - INFO - Epoch 31/50, Learning Rate: 0.000017 +2026-04-09 21:51:19,696 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 21:51:19,776 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:51:19,834 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 21:51:19,896 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 21:51:19,966 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 21:51:20,023 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 21:51:22,115 - INFO - Epoch 31/50: +2026-04-09 21:51:22,116 - INFO - Train: loss=0.6074, accuracy_overall=0.9588 +2026-04-09 21:51:22,116 - INFO - Horizon 0.0s: accuracy=0.9660 +2026-04-09 21:51:22,116 - INFO - Horizon 0.1s: accuracy=0.9663 +2026-04-09 21:51:22,116 - INFO - Horizon 0.2s: accuracy=0.9658 +2026-04-09 21:51:22,116 - INFO - Horizon 0.3s: accuracy=0.9632 +2026-04-09 21:51:22,116 - INFO - Horizon 0.5s: accuracy=0.9570 +2026-04-09 21:51:22,116 - INFO - Horizon 1.0s: accuracy=0.9347 +2026-04-09 21:51:22,116 - INFO - Val Horizon 0.0s - Overall: loss=0.7065, accuracy=0.9255 +2026-04-09 21:51:22,116 - INFO - Horizon 0.0s - Overall F1: 0.9266, Precision: 0.9264, Recall: 0.9279 +2026-04-09 21:51:22,117 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 21:51:22,117 - INFO - Macro F1: 0.9266 +2026-04-09 21:51:22,117 - INFO - Weighted F1: 0.9253 +2026-04-09 21:51:22,117 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9682 +2026-04-09 21:51:22,117 - INFO - Horizon 0.0s - Steady F1: 0.9692, Precision: 0.9669, Recall: 0.9723 +2026-04-09 21:51:22,117 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 21:51:22,117 - INFO - Macro F1: 0.9692 +2026-04-09 21:51:22,117 - INFO - Weighted F1: 0.9682 +2026-04-09 21:51:22,117 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7281 +2026-04-09 21:51:22,117 - INFO - Horizon 0.0s - Transition F1: 0.7048, Precision: 0.7063, Recall: 0.7141 +2026-04-09 21:51:22,117 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 21:51:22,117 - INFO - Macro F1: 0.7048 +2026-04-09 21:51:22,118 - INFO - Weighted F1: 0.7288 +2026-04-09 21:51:22,118 - INFO - +2026-04-09 21:51:22,118 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9260 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Overall F1: 0.9267, Precision: 0.9248, Recall: 0.9299 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 21:51:22,118 - INFO - Macro F1: 0.9267 +2026-04-09 21:51:22,118 - INFO - Weighted F1: 0.9258 +2026-04-09 21:51:22,118 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9691 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Steady F1: 0.9701, Precision: 0.9656, Recall: 0.9752 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 21:51:22,118 - INFO - Macro F1: 0.9701 +2026-04-09 21:51:22,118 - INFO - Weighted F1: 0.9691 +2026-04-09 21:51:22,118 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7301 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Transition F1: 0.6906, Precision: 0.6883, Recall: 0.7052 +2026-04-09 21:51:22,118 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 21:51:22,118 - INFO - Macro F1: 0.6906 +2026-04-09 21:51:22,118 - INFO - Weighted F1: 0.7309 +2026-04-09 21:51:22,118 - INFO - +2026-04-09 21:51:22,118 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9223 +2026-04-09 21:51:22,118 - INFO - Horizon 0.2s - Overall F1: 0.9252, Precision: 0.9238, Recall: 0.9286 +2026-04-09 21:51:22,118 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 21:51:22,119 - INFO - Macro F1: 0.9252 +2026-04-09 21:51:22,119 - INFO - Weighted F1: 0.9221 +2026-04-09 21:51:22,119 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9651 +2026-04-09 21:51:22,119 - INFO - Horizon 0.2s - Steady F1: 0.9660, Precision: 0.9610, Recall: 0.9722 +2026-04-09 21:51:22,119 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 21:51:22,119 - INFO - Macro F1: 0.9660 +2026-04-09 21:51:22,119 - INFO - Weighted F1: 0.9651 +2026-04-09 21:51:22,119 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7227 +2026-04-09 21:51:22,119 - INFO - Horizon 0.2s - Transition F1: 0.7253, Precision: 0.7312, Recall: 0.7311 +2026-04-09 21:51:22,119 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 21:51:22,119 - INFO - Macro F1: 0.7253 +2026-04-09 21:51:22,119 - INFO - Weighted F1: 0.7236 +2026-04-09 21:51:22,119 - INFO - +2026-04-09 21:51:22,119 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9189 +2026-04-09 21:51:22,119 - INFO - Horizon 0.3s - Overall F1: 0.9226, Precision: 0.9195, Recall: 0.9273 +2026-04-09 21:51:22,119 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 21:51:22,119 - INFO - Macro F1: 0.9226 +2026-04-09 21:51:22,119 - INFO - Weighted F1: 0.9189 +2026-04-09 21:51:22,119 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9608 +2026-04-09 21:51:22,120 - INFO - Horizon 0.3s - Steady F1: 0.9599, Precision: 0.9556, Recall: 0.9656 +2026-04-09 21:51:22,120 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 21:51:22,120 - INFO - Macro F1: 0.9599 +2026-04-09 21:51:22,120 - INFO - Weighted F1: 0.9609 +2026-04-09 21:51:22,120 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7282 +2026-04-09 21:51:22,120 - INFO - Horizon 0.3s - Transition F1: 0.7157, Precision: 0.7191, Recall: 0.7212 +2026-04-09 21:51:22,120 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 21:51:22,120 - INFO - Macro F1: 0.7157 +2026-04-09 21:51:22,120 - INFO - Weighted F1: 0.7279 +2026-04-09 21:51:22,120 - INFO - +2026-04-09 21:51:22,120 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9086 +2026-04-09 21:51:22,120 - INFO - Horizon 0.5s - Overall F1: 0.9132, Precision: 0.9108, Recall: 0.9183 +2026-04-09 21:51:22,120 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 21:51:22,120 - INFO - Macro F1: 0.9132 +2026-04-09 21:51:22,120 - INFO - Weighted F1: 0.9085 +2026-04-09 21:51:22,120 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9544 +2026-04-09 21:51:22,120 - INFO - Horizon 0.5s - Steady F1: 0.9535, Precision: 0.9473, Recall: 0.9620 +2026-04-09 21:51:22,120 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 21:51:22,120 - INFO - Macro F1: 0.9535 +2026-04-09 21:51:22,120 - INFO - Weighted F1: 0.9545 +2026-04-09 21:51:22,121 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6963 +2026-04-09 21:51:22,121 - INFO - Horizon 0.5s - Transition F1: 0.6924, Precision: 0.7112, Recall: 0.6953 +2026-04-09 21:51:22,121 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 21:51:22,121 - INFO - Macro F1: 0.6924 +2026-04-09 21:51:22,121 - INFO - Weighted F1: 0.6968 +2026-04-09 21:51:22,121 - INFO - +2026-04-09 21:51:22,121 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8839 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Overall F1: 0.8893, Precision: 0.8873, Recall: 0.8926 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 21:51:22,121 - INFO - Macro F1: 0.8893 +2026-04-09 21:51:22,121 - INFO - Weighted F1: 0.8839 +2026-04-09 21:51:22,121 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9349 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Steady F1: 0.9302, Precision: 0.9200, Recall: 0.9424 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 21:51:22,121 - INFO - Macro F1: 0.9302 +2026-04-09 21:51:22,121 - INFO - Weighted F1: 0.9352 +2026-04-09 21:51:22,121 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6428 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Transition F1: 0.6417, Precision: 0.6763, Recall: 0.6188 +2026-04-09 21:51:22,121 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 21:51:22,121 - INFO - Macro F1: 0.6417 +2026-04-09 21:51:22,121 - INFO - Weighted F1: 0.6442 +2026-04-09 21:51:23,186 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_31.pt +2026-04-09 21:51:23,188 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_31.csv +2026-04-09 21:51:23,189 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 21:51:23,189 - INFO - Saved best overall horizon 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21:51:23,227 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 21:51:23,228 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 21:51:23,244 - INFO - Removed old checkpoint: checkpoint_epoch_30.pt +2026-04-09 21:51:24,190 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 21:51:24,204 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 21:51:24,359 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 21:51:24,360 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 21:51:24,362 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 21:51:24,363 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 21:51:24,364 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 21:51:24,365 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 21:51:24,366 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 21:51:24,366 - INFO - Epoch 32/50, Learning Rate: 0.000016 +2026-04-09 22:16:15,567 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 22:16:15,664 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 22:16:15,729 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 22:16:15,796 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 22:16:15,863 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 22:16:15,919 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 22:16:17,990 - INFO - Epoch 32/50: +2026-04-09 22:16:17,990 - INFO - Train: loss=0.6115, accuracy_overall=0.9579 +2026-04-09 22:16:17,990 - INFO - Horizon 0.0s: accuracy=0.9663 +2026-04-09 22:16:17,991 - INFO - Horizon 0.1s: accuracy=0.9690 +2026-04-09 22:16:17,991 - INFO - Horizon 0.2s: accuracy=0.9643 +2026-04-09 22:16:17,991 - INFO - Horizon 0.3s: accuracy=0.9641 +2026-04-09 22:16:17,991 - INFO - Horizon 0.5s: accuracy=0.9524 +2026-04-09 22:16:17,991 - INFO - Horizon 1.0s: accuracy=0.9316 +2026-04-09 22:16:17,991 - INFO - Val Horizon 0.0s - Overall: loss=0.7099, accuracy=0.9227 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Overall F1: 0.9217, Precision: 0.9156, Recall: 0.9291 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 22:16:17,991 - INFO - Macro F1: 0.9217 +2026-04-09 22:16:17,991 - INFO - Weighted F1: 0.9227 +2026-04-09 22:16:17,991 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9654 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Steady F1: 0.9646, Precision: 0.9587, Recall: 0.9716 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 22:16:17,991 - INFO - Macro F1: 0.9646 +2026-04-09 22:16:17,991 - INFO - Weighted F1: 0.9656 +2026-04-09 22:16:17,991 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7256 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Transition F1: 0.6934, Precision: 0.6848, Recall: 0.7111 +2026-04-09 22:16:17,991 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 22:16:17,991 - INFO - Macro F1: 0.6934 +2026-04-09 22:16:17,991 - INFO - Weighted F1: 0.7253 +2026-04-09 22:16:17,991 - INFO - +2026-04-09 22:16:17,991 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9260 +2026-04-09 22:16:17,991 - INFO - Horizon 0.1s - Overall F1: 0.9259, Precision: 0.9180, Recall: 0.9356 +2026-04-09 22:16:17,991 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 22:16:17,991 - INFO - Macro F1: 0.9259 +2026-04-09 22:16:17,991 - INFO - Weighted F1: 0.9261 +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9677 +2026-04-09 22:16:17,992 - INFO - Horizon 0.1s - Steady F1: 0.9675, Precision: 0.9599, Recall: 0.9763 +2026-04-09 22:16:17,992 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 22:16:17,992 - INFO - Macro F1: 0.9675 +2026-04-09 22:16:17,992 - INFO - Weighted F1: 0.9679 +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7364 +2026-04-09 22:16:17,992 - INFO - Horizon 0.1s - Transition F1: 0.7083, Precision: 0.6911, Recall: 0.7397 +2026-04-09 22:16:17,992 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 22:16:17,992 - INFO - Macro F1: 0.7083 +2026-04-09 22:16:17,992 - INFO - Weighted F1: 0.7373 +2026-04-09 22:16:17,992 - INFO - +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9224 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Overall F1: 0.9234, Precision: 0.9213, Recall: 0.9271 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 22:16:17,992 - INFO - Macro F1: 0.9234 +2026-04-09 22:16:17,992 - INFO - Weighted F1: 0.9223 +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9656 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Steady F1: 0.9647, Precision: 0.9584, Recall: 0.9723 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 22:16:17,992 - INFO - Macro F1: 0.9647 +2026-04-09 22:16:17,992 - INFO - Weighted F1: 0.9658 +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7207 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Transition F1: 0.7186, Precision: 0.7275, Recall: 0.7249 +2026-04-09 22:16:17,992 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 22:16:17,992 - INFO - Macro F1: 0.7186 +2026-04-09 22:16:17,992 - INFO - Weighted F1: 0.7207 +2026-04-09 22:16:17,992 - INFO - +2026-04-09 22:16:17,992 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9174 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Overall F1: 0.9195, Precision: 0.9133, Recall: 0.9276 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.9195 +2026-04-09 22:16:17,993 - INFO - Weighted F1: 0.9174 +2026-04-09 22:16:17,993 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9617 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Steady F1: 0.9604, Precision: 0.9539, Recall: 0.9682 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.9604 +2026-04-09 22:16:17,993 - INFO - Weighted F1: 0.9620 +2026-04-09 22:16:17,993 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7156 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Transition F1: 0.7102, Precision: 0.7020, Recall: 0.7285 +2026-04-09 22:16:17,993 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.7102 +2026-04-09 22:16:17,993 - INFO - Weighted F1: 0.7145 +2026-04-09 22:16:17,993 - INFO - +2026-04-09 22:16:17,993 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9084 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Overall F1: 0.9113, Precision: 0.9128, Recall: 0.9116 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.9113 +2026-04-09 22:16:17,993 - INFO - Weighted F1: 0.9082 +2026-04-09 22:16:17,993 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9555 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Steady F1: 0.9522, Precision: 0.9462, Recall: 0.9597 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.9522 +2026-04-09 22:16:17,993 - INFO - Weighted F1: 0.9558 +2026-04-09 22:16:17,993 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6899 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Transition F1: 0.6677, Precision: 0.7064, Recall: 0.6523 +2026-04-09 22:16:17,993 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 22:16:17,993 - INFO - Macro F1: 0.6677 +2026-04-09 22:16:17,994 - INFO - Weighted F1: 0.6891 +2026-04-09 22:16:17,994 - INFO - +2026-04-09 22:16:17,994 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8774 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Overall F1: 0.8828, Precision: 0.8848, Recall: 0.8844 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 22:16:17,994 - INFO - Macro F1: 0.8828 +2026-04-09 22:16:17,994 - INFO - Weighted F1: 0.8776 +2026-04-09 22:16:17,994 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9290 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Steady F1: 0.9216, Precision: 0.9136, Recall: 0.9347 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 22:16:17,994 - INFO - Macro F1: 0.9216 +2026-04-09 22:16:17,994 - INFO - Weighted F1: 0.9300 +2026-04-09 22:16:17,994 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6337 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Transition F1: 0.6184, Precision: 0.6675, Recall: 0.5989 +2026-04-09 22:16:17,994 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 22:16:17,994 - INFO - Macro F1: 0.6184 +2026-04-09 22:16:17,994 - INFO - Weighted F1: 0.6312 +2026-04-09 22:16:18,956 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_32.pt +2026-04-09 22:16:18,958 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,959 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,960 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,961 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,961 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,962 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,963 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,964 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,964 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,965 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,966 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,967 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,968 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,968 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,969 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,970 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_32.csv +2026-04-09 22:16:18,971 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_32.csv +2026-04-09 22:16:18,971 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_32.csv +2026-04-09 22:16:18,981 - INFO - Removed old checkpoint: checkpoint_epoch_31.pt +2026-04-09 22:16:18,982 - INFO - Epoch 33/50, Learning Rate: 0.000014 +2026-04-09 22:41:01,792 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 22:41:01,860 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 22:41:01,917 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 22:41:01,989 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 22:41:02,066 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 22:41:02,130 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 22:41:04,293 - INFO - Epoch 33/50: +2026-04-09 22:41:04,293 - INFO - Train: loss=0.6063, accuracy_overall=0.9598 +2026-04-09 22:41:04,293 - INFO - Horizon 0.0s: accuracy=0.9661 +2026-04-09 22:41:04,293 - INFO - Horizon 0.1s: accuracy=0.9695 +2026-04-09 22:41:04,293 - INFO - Horizon 0.2s: accuracy=0.9681 +2026-04-09 22:41:04,293 - INFO - Horizon 0.3s: accuracy=0.9636 +2026-04-09 22:41:04,293 - INFO - Horizon 0.5s: accuracy=0.9566 +2026-04-09 22:41:04,294 - INFO - Horizon 1.0s: accuracy=0.9351 +2026-04-09 22:41:04,294 - INFO - Val Horizon 0.0s - Overall: loss=0.7133, accuracy=0.9248 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Overall F1: 0.9244, Precision: 0.9219, Recall: 0.9284 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 22:41:04,294 - INFO - Macro F1: 0.9244 +2026-04-09 22:41:04,294 - INFO - Weighted F1: 0.9247 +2026-04-09 22:41:04,294 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9681 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Steady F1: 0.9667, Precision: 0.9623, Recall: 0.9723 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 22:41:04,294 - INFO - Macro F1: 0.9667 +2026-04-09 22:41:04,294 - INFO - Weighted F1: 0.9682 +2026-04-09 22:41:04,294 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7250 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Transition F1: 0.7017, Precision: 0.7025, Recall: 0.7118 +2026-04-09 22:41:04,294 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 22:41:04,294 - INFO - Macro F1: 0.7017 +2026-04-09 22:41:04,294 - INFO - Weighted F1: 0.7259 +2026-04-09 22:41:04,294 - INFO - +2026-04-09 22:41:04,294 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9257 +2026-04-09 22:41:04,294 - INFO - Horizon 0.1s - Overall F1: 0.9239, Precision: 0.9208, Recall: 0.9286 +2026-04-09 22:41:04,294 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 22:41:04,294 - INFO - Macro F1: 0.9239 +2026-04-09 22:41:04,294 - INFO - Weighted F1: 0.9257 +2026-04-09 22:41:04,294 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9692 +2026-04-09 22:41:04,294 - INFO - Horizon 0.1s - Steady F1: 0.9680, Precision: 0.9620, Recall: 0.9751 +2026-04-09 22:41:04,295 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 22:41:04,295 - INFO - Macro F1: 0.9680 +2026-04-09 22:41:04,295 - INFO - Weighted F1: 0.9694 +2026-04-09 22:41:04,295 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7276 +2026-04-09 22:41:04,295 - INFO - Horizon 0.1s - Transition F1: 0.6909, Precision: 0.6950, Recall: 0.7023 +2026-04-09 22:41:04,295 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 22:41:04,295 - INFO - Macro F1: 0.6909 +2026-04-09 22:41:04,295 - INFO - Weighted F1: 0.7283 +2026-04-09 22:41:04,295 - INFO - +2026-04-09 22:41:04,295 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9210 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Overall F1: 0.9214, Precision: 0.9198, Recall: 0.9245 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 22:41:04,295 - INFO - Macro F1: 0.9214 +2026-04-09 22:41:04,295 - INFO - Weighted F1: 0.9210 +2026-04-09 22:41:04,295 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9663 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Steady F1: 0.9649, Precision: 0.9599, Recall: 0.9712 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 22:41:04,295 - INFO - Macro F1: 0.9649 +2026-04-09 22:41:04,295 - INFO - Weighted F1: 0.9665 +2026-04-09 22:41:04,295 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7098 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Transition F1: 0.6997, Precision: 0.7048, Recall: 0.7071 +2026-04-09 22:41:04,295 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 22:41:04,295 - INFO - Macro F1: 0.6997 +2026-04-09 22:41:04,295 - INFO - Weighted F1: 0.7096 +2026-04-09 22:41:04,295 - INFO - +2026-04-09 22:41:04,295 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9180 +2026-04-09 22:41:04,295 - INFO - Horizon 0.3s - Overall F1: 0.9197, Precision: 0.9141, Recall: 0.9269 +2026-04-09 22:41:04,296 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 22:41:04,296 - INFO - Macro F1: 0.9197 +2026-04-09 22:41:04,296 - INFO - Weighted F1: 0.9181 +2026-04-09 22:41:04,296 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9619 +2026-04-09 22:41:04,296 - INFO - Horizon 0.3s - Steady F1: 0.9595, Precision: 0.9528, Recall: 0.9676 +2026-04-09 22:41:04,296 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 22:41:04,296 - INFO - Macro F1: 0.9595 +2026-04-09 22:41:04,296 - INFO - Weighted F1: 0.9621 +2026-04-09 22:41:04,296 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7182 +2026-04-09 22:41:04,296 - INFO - Horizon 0.3s - Transition F1: 0.7089, Precision: 0.7088, Recall: 0.7192 +2026-04-09 22:41:04,296 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 22:41:04,296 - INFO - Macro F1: 0.7089 +2026-04-09 22:41:04,296 - INFO - Weighted F1: 0.7164 +2026-04-09 22:41:04,296 - INFO - +2026-04-09 22:41:04,296 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9066 +2026-04-09 22:41:04,296 - INFO - Horizon 0.5s - Overall F1: 0.9084, Precision: 0.9026, Recall: 0.9164 +2026-04-09 22:41:04,296 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 22:41:04,296 - INFO - Macro F1: 0.9084 +2026-04-09 22:41:04,296 - INFO - Weighted F1: 0.9068 +2026-04-09 22:41:04,296 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9546 +2026-04-09 22:41:04,296 - INFO - Horizon 0.5s - Steady F1: 0.9511, Precision: 0.9437, Recall: 0.9605 +2026-04-09 22:41:04,296 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 22:41:04,296 - INFO - Macro F1: 0.9511 +2026-04-09 22:41:04,296 - INFO - Weighted F1: 0.9549 +2026-04-09 22:41:04,296 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6842 +2026-04-09 22:41:04,297 - INFO - Horizon 0.5s - Transition F1: 0.6631, Precision: 0.6712, Recall: 0.6746 +2026-04-09 22:41:04,297 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 22:41:04,297 - INFO - Macro F1: 0.6631 +2026-04-09 22:41:04,297 - INFO - Weighted F1: 0.6821 +2026-04-09 22:41:04,297 - INFO - +2026-04-09 22:41:04,297 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8850 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Overall F1: 0.8895, Precision: 0.8885, Recall: 0.8924 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 22:41:04,297 - INFO - Macro F1: 0.8895 +2026-04-09 22:41:04,297 - INFO - Weighted F1: 0.8849 +2026-04-09 22:41:04,297 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9353 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Steady F1: 0.9302, Precision: 0.9217, Recall: 0.9404 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 22:41:04,297 - INFO - Macro F1: 0.9302 +2026-04-09 22:41:04,297 - INFO - Weighted F1: 0.9355 +2026-04-09 22:41:04,297 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6474 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Transition F1: 0.6372, Precision: 0.6724, Recall: 0.6196 +2026-04-09 22:41:04,297 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 22:41:04,297 - INFO - Macro F1: 0.6372 +2026-04-09 22:41:04,297 - INFO - Weighted F1: 0.6488 +2026-04-09 22:41:05,390 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_33.pt +2026-04-09 22:41:05,392 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,393 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,393 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,394 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,395 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,396 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,397 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,397 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,398 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,399 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,400 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,400 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,401 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,402 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,403 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,403 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_33.csv +2026-04-09 22:41:05,404 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_33.csv +2026-04-09 22:41:05,405 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_33.csv +2026-04-09 22:41:05,420 - INFO - Removed old checkpoint: checkpoint_epoch_32.pt +2026-04-09 22:41:05,423 - INFO - Epoch 34/50, Learning Rate: 0.000013 +2026-04-09 23:06:19,697 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 23:06:19,770 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:06:19,837 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 23:06:19,903 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:06:19,977 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 23:06:20,044 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 23:06:22,139 - INFO - Epoch 34/50: +2026-04-09 23:06:22,140 - INFO - Train: loss=0.6039, accuracy_overall=0.9625 +2026-04-09 23:06:22,140 - INFO - Horizon 0.0s: accuracy=0.9688 +2026-04-09 23:06:22,140 - INFO - Horizon 0.1s: accuracy=0.9707 +2026-04-09 23:06:22,140 - INFO - Horizon 0.2s: accuracy=0.9657 +2026-04-09 23:06:22,140 - INFO - Horizon 0.3s: accuracy=0.9662 +2026-04-09 23:06:22,140 - INFO - Horizon 0.5s: accuracy=0.9596 +2026-04-09 23:06:22,140 - INFO - Horizon 1.0s: accuracy=0.9439 +2026-04-09 23:06:22,140 - INFO - Val Horizon 0.0s - Overall: loss=0.7081, accuracy=0.9263 +2026-04-09 23:06:22,140 - INFO - Horizon 0.0s - Overall F1: 0.9264, Precision: 0.9248, Recall: 0.9290 +2026-04-09 23:06:22,141 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 23:06:22,141 - INFO - Macro F1: 0.9264 +2026-04-09 23:06:22,141 - INFO - Weighted F1: 0.9261 +2026-04-09 23:06:22,141 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9682 +2026-04-09 23:06:22,141 - INFO - Horizon 0.0s - Steady F1: 0.9689, Precision: 0.9654, Recall: 0.9731 +2026-04-09 23:06:22,141 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 23:06:22,141 - INFO - Macro F1: 0.9689 +2026-04-09 23:06:22,141 - INFO - Weighted F1: 0.9683 +2026-04-09 23:06:22,141 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7326 +2026-04-09 23:06:22,141 - INFO - Horizon 0.0s - Transition F1: 0.7082, Precision: 0.7037, Recall: 0.7200 +2026-04-09 23:06:22,141 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 23:06:22,141 - INFO - Macro F1: 0.7082 +2026-04-09 23:06:22,142 - INFO - Weighted F1: 0.7343 +2026-04-09 23:06:22,142 - INFO - +2026-04-09 23:06:22,142 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9231 +2026-04-09 23:06:22,142 - INFO - Horizon 0.1s - Overall F1: 0.9244, Precision: 0.9202, Recall: 0.9300 +2026-04-09 23:06:22,142 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 23:06:22,142 - INFO - Macro F1: 0.9244 +2026-04-09 23:06:22,142 - INFO - Weighted F1: 0.9230 +2026-04-09 23:06:22,142 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9666 +2026-04-09 23:06:22,142 - INFO - Horizon 0.1s - Steady F1: 0.9681, Precision: 0.9624, Recall: 0.9746 +2026-04-09 23:06:22,143 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 23:06:22,143 - INFO - Macro F1: 0.9681 +2026-04-09 23:06:22,143 - INFO - Weighted F1: 0.9667 +2026-04-09 23:06:22,143 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7251 +2026-04-09 23:06:22,143 - INFO - Horizon 0.1s - Transition F1: 0.7008, Precision: 0.6927, Recall: 0.7194 +2026-04-09 23:06:22,143 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 23:06:22,144 - INFO - Macro F1: 0.7008 +2026-04-09 23:06:22,144 - INFO - Weighted F1: 0.7266 +2026-04-09 23:06:22,144 - INFO - +2026-04-09 23:06:22,144 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9237 +2026-04-09 23:06:22,144 - INFO - Horizon 0.2s - Overall F1: 0.9251, Precision: 0.9238, Recall: 0.9277 +2026-04-09 23:06:22,144 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 23:06:22,144 - INFO - Macro F1: 0.9251 +2026-04-09 23:06:22,144 - INFO - Weighted F1: 0.9238 +2026-04-09 23:06:22,144 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9647 +2026-04-09 23:06:22,144 - INFO - Horizon 0.2s - Steady F1: 0.9656, Precision: 0.9609, Recall: 0.9713 +2026-04-09 23:06:22,144 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 23:06:22,144 - INFO - Macro F1: 0.9656 +2026-04-09 23:06:22,144 - INFO - Weighted F1: 0.9648 +2026-04-09 23:06:22,144 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7329 +2026-04-09 23:06:22,145 - INFO - Horizon 0.2s - Transition F1: 0.7228, Precision: 0.7313, Recall: 0.7259 +2026-04-09 23:06:22,145 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 23:06:22,145 - INFO - Macro F1: 0.7228 +2026-04-09 23:06:22,145 - INFO - Weighted F1: 0.7336 +2026-04-09 23:06:22,145 - INFO - +2026-04-09 23:06:22,145 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9190 +2026-04-09 23:06:22,145 - INFO - Horizon 0.3s - Overall F1: 0.9218, Precision: 0.9168, Recall: 0.9281 +2026-04-09 23:06:22,145 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 23:06:22,145 - INFO - Macro F1: 0.9218 +2026-04-09 23:06:22,145 - INFO - Weighted F1: 0.9191 +2026-04-09 23:06:22,145 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9609 +2026-04-09 23:06:22,145 - INFO - Horizon 0.3s - Steady F1: 0.9609, Precision: 0.9556, Recall: 0.9672 +2026-04-09 23:06:22,145 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 23:06:22,145 - INFO - Macro F1: 0.9609 +2026-04-09 23:06:22,145 - INFO - Weighted F1: 0.9611 +2026-04-09 23:06:22,146 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7282 +2026-04-09 23:06:22,146 - INFO - Horizon 0.3s - Transition F1: 0.7217, Precision: 0.7162, Recall: 0.7323 +2026-04-09 23:06:22,146 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 23:06:22,146 - INFO - Macro F1: 0.7217 +2026-04-09 23:06:22,146 - INFO - Weighted F1: 0.7286 +2026-04-09 23:06:22,146 - INFO - +2026-04-09 23:06:22,146 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9099 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Overall F1: 0.9132, Precision: 0.9131, Recall: 0.9148 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 23:06:22,146 - INFO - Macro F1: 0.9132 +2026-04-09 23:06:22,146 - INFO - Weighted F1: 0.9099 +2026-04-09 23:06:22,146 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9539 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Steady F1: 0.9528, Precision: 0.9482, Recall: 0.9586 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 23:06:22,146 - INFO - Macro F1: 0.9528 +2026-04-09 23:06:22,146 - INFO - Weighted F1: 0.9540 +2026-04-09 23:06:22,146 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7060 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Transition F1: 0.6916, Precision: 0.7162, Recall: 0.6796 +2026-04-09 23:06:22,146 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 23:06:22,146 - INFO - Macro F1: 0.6916 +2026-04-09 23:06:22,147 - INFO - Weighted F1: 0.7058 +2026-04-09 23:06:22,147 - INFO - +2026-04-09 23:06:22,147 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8828 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Overall F1: 0.8887, Precision: 0.8903, Recall: 0.8878 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 23:06:22,147 - INFO - Macro F1: 0.8887 +2026-04-09 23:06:22,147 - INFO - Weighted F1: 0.8830 +2026-04-09 23:06:22,147 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9325 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Steady F1: 0.9299, Precision: 0.9236, Recall: 0.9379 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 23:06:22,147 - INFO - Macro F1: 0.9299 +2026-04-09 23:06:22,147 - INFO - Weighted F1: 0.9327 +2026-04-09 23:06:22,147 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6480 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Transition F1: 0.6198, Precision: 0.6782, Recall: 0.5861 +2026-04-09 23:06:22,147 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 23:06:22,147 - INFO - Macro F1: 0.6198 +2026-04-09 23:06:22,147 - INFO - Weighted F1: 0.6476 +2026-04-09 23:06:23,359 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_34.pt +2026-04-09 23:06:23,361 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_34.csv +2026-04-09 23:06:23,362 - INFO - Saved best 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+2026-04-09 23:06:23,367 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_34.csv +2026-04-09 23:06:23,368 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 23:06:23,369 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 23:06:23,369 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_34.csv +2026-04-09 23:06:23,370 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 23:06:23,371 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 23:06:23,371 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_34.csv +2026-04-09 23:06:23,372 - INFO - Saved best transition horizon 0.1s model metrics: 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23:06:23,380 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 23:06:23,381 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 23:06:23,382 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_34.csv +2026-04-09 23:06:23,382 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 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- INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_34.csv +2026-04-09 23:06:23,397 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 23:06:23,398 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 23:06:23,408 - INFO - Removed old checkpoint: checkpoint_epoch_33.pt +2026-04-09 23:06:24,606 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 23:06:24,627 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 23:06:24,795 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 23:06:24,796 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 23:06:24,797 - INFO - Saved horizon 0.1s summary: 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train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 23:06:24,802 - INFO - Epoch 35/50, Learning Rate: 0.000012 +2026-04-09 23:30:54,421 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 23:30:54,503 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:30:54,572 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 23:30:54,635 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:30:54,695 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 23:30:54,767 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 23:30:56,798 - INFO - Epoch 35/50: +2026-04-09 23:30:56,798 - INFO - Train: loss=0.6012, accuracy_overall=0.9634 +2026-04-09 23:30:56,798 - INFO - Horizon 0.0s: accuracy=0.9670 +2026-04-09 23:30:56,798 - INFO - Horizon 0.1s: accuracy=0.9703 +2026-04-09 23:30:56,799 - INFO - Horizon 0.2s: accuracy=0.9703 +2026-04-09 23:30:56,799 - INFO - Horizon 0.3s: accuracy=0.9703 +2026-04-09 23:30:56,799 - INFO - Horizon 0.5s: accuracy=0.9603 +2026-04-09 23:30:56,799 - INFO - Horizon 1.0s: accuracy=0.9423 +2026-04-09 23:30:56,799 - INFO - Val Horizon 0.0s - Overall: loss=0.7098, accuracy=0.9281 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Overall F1: 0.9293, Precision: 0.9254, Recall: 0.9351 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 23:30:56,799 - INFO - Macro F1: 0.9293 +2026-04-09 23:30:56,799 - INFO - Weighted F1: 0.9281 +2026-04-09 23:30:56,799 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9679 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Steady F1: 0.9683, Precision: 0.9638, Recall: 0.9740 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 23:30:56,799 - INFO - Macro F1: 0.9683 +2026-04-09 23:30:56,799 - INFO - Weighted F1: 0.9681 +2026-04-09 23:30:56,799 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7441 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Transition F1: 0.7228, Precision: 0.7147, Recall: 0.7425 +2026-04-09 23:30:56,799 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 23:30:56,799 - INFO - Macro F1: 0.7228 +2026-04-09 23:30:56,799 - INFO - Weighted F1: 0.7452 +2026-04-09 23:30:56,799 - INFO - +2026-04-09 23:30:56,799 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9241 +2026-04-09 23:30:56,799 - INFO - Horizon 0.1s - Overall F1: 0.9258, Precision: 0.9163, Recall: 0.9375 +2026-04-09 23:30:56,799 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 23:30:56,799 - INFO - Macro F1: 0.9258 +2026-04-09 23:30:56,799 - INFO - Weighted F1: 0.9242 +2026-04-09 23:30:56,799 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9669 +2026-04-09 23:30:56,799 - INFO - Horizon 0.1s - Steady F1: 0.9677, Precision: 0.9597, Recall: 0.9773 +2026-04-09 23:30:56,799 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 23:30:56,800 - INFO - Macro F1: 0.9677 +2026-04-09 23:30:56,800 - INFO - Weighted F1: 0.9671 +2026-04-09 23:30:56,800 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7295 +2026-04-09 23:30:56,800 - INFO - Horizon 0.1s - Transition F1: 0.7139, Precision: 0.6909, Recall: 0.7521 +2026-04-09 23:30:56,800 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 23:30:56,800 - INFO - Macro F1: 0.7139 +2026-04-09 23:30:56,800 - INFO - Weighted F1: 0.7289 +2026-04-09 23:30:56,800 - INFO - +2026-04-09 23:30:56,800 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9194 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Overall F1: 0.9209, Precision: 0.9137, Recall: 0.9308 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 23:30:56,800 - INFO - Macro F1: 0.9209 +2026-04-09 23:30:56,800 - INFO - Weighted F1: 0.9197 +2026-04-09 23:30:56,800 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9626 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Steady F1: 0.9631, Precision: 0.9547, Recall: 0.9737 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 23:30:56,800 - INFO - Macro F1: 0.9631 +2026-04-09 23:30:56,800 - INFO - Weighted F1: 0.9629 +2026-04-09 23:30:56,800 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7181 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Transition F1: 0.7072, Precision: 0.6970, Recall: 0.7332 +2026-04-09 23:30:56,800 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 23:30:56,800 - INFO - Macro F1: 0.7072 +2026-04-09 23:30:56,800 - INFO - Weighted F1: 0.7181 +2026-04-09 23:30:56,800 - INFO - +2026-04-09 23:30:56,800 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9168 +2026-04-09 23:30:56,800 - INFO - Horizon 0.3s - Overall F1: 0.9191, Precision: 0.9113, Recall: 0.9298 +2026-04-09 23:30:56,800 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.9191 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.9170 +2026-04-09 23:30:56,801 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9605 +2026-04-09 23:30:56,801 - INFO - Horizon 0.3s - Steady F1: 0.9602, Precision: 0.9522, Recall: 0.9703 +2026-04-09 23:30:56,801 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.9602 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.9608 +2026-04-09 23:30:56,801 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7182 +2026-04-09 23:30:56,801 - INFO - Horizon 0.3s - Transition F1: 0.7089, Precision: 0.6944, Recall: 0.7364 +2026-04-09 23:30:56,801 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.7089 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.7193 +2026-04-09 23:30:56,801 - INFO - +2026-04-09 23:30:56,801 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9091 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Overall F1: 0.9116, Precision: 0.9062, Recall: 0.9194 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.9116 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.9091 +2026-04-09 23:30:56,801 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9543 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Steady F1: 0.9509, Precision: 0.9438, Recall: 0.9600 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.9509 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.9546 +2026-04-09 23:30:56,801 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6996 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Transition F1: 0.7148, Precision: 0.7079, Recall: 0.7323 +2026-04-09 23:30:56,801 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 23:30:56,801 - INFO - Macro F1: 0.7148 +2026-04-09 23:30:56,801 - INFO - Weighted F1: 0.6999 +2026-04-09 23:30:56,802 - INFO - +2026-04-09 23:30:56,802 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8859 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Overall F1: 0.8905, Precision: 0.8882, Recall: 0.8941 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 23:30:56,802 - INFO - Macro F1: 0.8905 +2026-04-09 23:30:56,802 - INFO - Weighted F1: 0.8863 +2026-04-09 23:30:56,802 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9361 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Steady F1: 0.9302, Precision: 0.9193, Recall: 0.9429 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 23:30:56,802 - INFO - Macro F1: 0.9302 +2026-04-09 23:30:56,802 - INFO - Weighted F1: 0.9366 +2026-04-09 23:30:56,802 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6487 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Transition F1: 0.6403, Precision: 0.6819, Recall: 0.6179 +2026-04-09 23:30:56,802 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 23:30:56,802 - INFO - Macro F1: 0.6403 +2026-04-09 23:30:56,802 - INFO - Weighted F1: 0.6490 +2026-04-09 23:30:57,769 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_35.pt +2026-04-09 23:30:57,771 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_35.csv +2026-04-09 23:30:57,772 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 23:30:57,773 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,773 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,774 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 23:30:57,775 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,776 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,776 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 23:30:57,777 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 23:30:57,778 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_35.csv +2026-04-09 23:30:57,778 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 23:30:57,779 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,780 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,780 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 23:30:57,781 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,782 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,782 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 23:30:57,783 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 23:30:57,784 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_35.csv +2026-04-09 23:30:57,784 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 23:30:57,785 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,786 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,786 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 23:30:57,787 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,788 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,788 - INFO - Saved best transition 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best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,792 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,792 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 23:30:57,793 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,793 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,794 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 23:30:57,795 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 23:30:57,795 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_35.csv +2026-04-09 23:30:57,796 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 23:30:57,797 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,797 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,798 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 23:30:57,799 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,800 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,800 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 23:30:57,801 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 23:30:57,802 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_35.csv +2026-04-09 23:30:57,802 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 23:30:57,803 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 23:30:57,804 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_35.csv +2026-04-09 23:30:57,804 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 23:30:57,805 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 23:30:57,806 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_35.csv +2026-04-09 23:30:57,807 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 23:30:57,807 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 23:30:57,835 - INFO - Removed old checkpoint: checkpoint_epoch_34.pt +2026-04-09 23:30:58,768 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 23:30:58,782 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 23:30:58,938 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 23:30:58,939 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 23:30:58,941 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 23:30:58,942 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 23:30:58,943 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 23:30:58,945 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 23:30:58,946 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 23:30:58,946 - INFO - Epoch 36/50, Learning Rate: 0.000010 +2026-04-09 23:56:48,689 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 23:56:48,771 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:56:48,830 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 23:56:48,895 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 23:56:48,980 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 23:56:49,045 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 23:56:51,117 - INFO - Epoch 36/50: +2026-04-09 23:56:51,117 - INFO - Train: loss=0.6017, accuracy_overall=0.9623 +2026-04-09 23:56:51,117 - INFO - Horizon 0.0s: accuracy=0.9687 +2026-04-09 23:56:51,117 - INFO - Horizon 0.1s: accuracy=0.9709 +2026-04-09 23:56:51,117 - INFO - Horizon 0.2s: accuracy=0.9664 +2026-04-09 23:56:51,118 - INFO - Horizon 0.3s: accuracy=0.9661 +2026-04-09 23:56:51,118 - INFO - Horizon 0.5s: accuracy=0.9601 +2026-04-09 23:56:51,118 - INFO - Horizon 1.0s: accuracy=0.9418 +2026-04-09 23:56:51,118 - INFO - Val Horizon 0.0s - Overall: loss=0.7037, accuracy=0.9293 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Overall F1: 0.9308, Precision: 0.9241, Recall: 0.9383 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 23:56:51,118 - INFO - Macro F1: 0.9308 +2026-04-09 23:56:51,118 - INFO - Weighted F1: 0.9293 +2026-04-09 23:56:51,118 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9707 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Steady F1: 0.9709, Precision: 0.9648, Recall: 0.9776 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 23:56:51,118 - INFO - Macro F1: 0.9709 +2026-04-09 23:56:51,118 - INFO - Weighted F1: 0.9708 +2026-04-09 23:56:51,118 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7384 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Transition F1: 0.7207, Precision: 0.7057, Recall: 0.7403 +2026-04-09 23:56:51,118 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 23:56:51,119 - INFO - Macro F1: 0.7207 +2026-04-09 23:56:51,119 - INFO - Weighted F1: 0.7387 +2026-04-09 23:56:51,119 - INFO - +2026-04-09 23:56:51,119 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9260 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Overall F1: 0.9273, Precision: 0.9181, Recall: 0.9378 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 23:56:51,119 - INFO - Macro F1: 0.9273 +2026-04-09 23:56:51,119 - INFO - Weighted F1: 0.9261 +2026-04-09 23:56:51,119 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9696 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Steady F1: 0.9706, Precision: 0.9619, Recall: 0.9804 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 23:56:51,119 - INFO - Macro F1: 0.9706 +2026-04-09 23:56:51,119 - INFO - Weighted F1: 0.9698 +2026-04-09 23:56:51,119 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7276 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Transition F1: 0.7018, Precision: 0.6822, Recall: 0.7289 +2026-04-09 23:56:51,119 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 23:56:51,119 - INFO - Macro F1: 0.7018 +2026-04-09 23:56:51,119 - INFO - Weighted F1: 0.7280 +2026-04-09 23:56:51,120 - INFO - +2026-04-09 23:56:51,120 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9257 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Overall F1: 0.9280, Precision: 0.9225, Recall: 0.9352 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 23:56:51,120 - INFO - Macro F1: 0.9280 +2026-04-09 23:56:51,120 - INFO - Weighted F1: 0.9258 +2026-04-09 23:56:51,120 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9672 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Steady F1: 0.9677, Precision: 0.9604, Recall: 0.9763 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 23:56:51,120 - INFO - Macro F1: 0.9677 +2026-04-09 23:56:51,120 - INFO - Weighted F1: 0.9673 +2026-04-09 23:56:51,120 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7323 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Transition F1: 0.7254, Precision: 0.7242, Recall: 0.7354 +2026-04-09 23:56:51,120 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 23:56:51,120 - INFO - Macro F1: 0.7254 +2026-04-09 23:56:51,121 - INFO - Weighted F1: 0.7320 +2026-04-09 23:56:51,121 - INFO - +2026-04-09 23:56:51,121 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9209 +2026-04-09 23:56:51,121 - INFO - Horizon 0.3s - Overall F1: 0.9245, Precision: 0.9181, Recall: 0.9323 +2026-04-09 23:56:51,121 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 23:56:51,121 - INFO - Macro F1: 0.9245 +2026-04-09 23:56:51,121 - INFO - Weighted F1: 0.9210 +2026-04-09 23:56:51,121 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9640 +2026-04-09 23:56:51,121 - INFO - Horizon 0.3s - Steady F1: 0.9638, Precision: 0.9563, Recall: 0.9726 +2026-04-09 23:56:51,121 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 23:56:51,121 - INFO - Macro F1: 0.9638 +2026-04-09 23:56:51,121 - INFO - Weighted F1: 0.9641 +2026-04-09 23:56:51,121 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7251 +2026-04-09 23:56:51,121 - INFO - Horizon 0.3s - Transition F1: 0.7166, Precision: 0.7109, Recall: 0.7299 +2026-04-09 23:56:51,122 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 23:56:51,122 - INFO - Macro F1: 0.7166 +2026-04-09 23:56:51,122 - INFO - Weighted F1: 0.7237 +2026-04-09 23:56:51,122 - INFO - +2026-04-09 23:56:51,122 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9113 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Overall F1: 0.9139, Precision: 0.9116, Recall: 0.9179 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 23:56:51,122 - INFO - Macro F1: 0.9139 +2026-04-09 23:56:51,122 - INFO - Weighted F1: 0.9112 +2026-04-09 23:56:51,122 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9575 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Steady F1: 0.9554, Precision: 0.9502, Recall: 0.9622 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 23:56:51,122 - INFO - Macro F1: 0.9554 +2026-04-09 23:56:51,122 - INFO - Weighted F1: 0.9576 +2026-04-09 23:56:51,122 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6970 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Transition F1: 0.6826, Precision: 0.6905, Recall: 0.6850 +2026-04-09 23:56:51,122 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 23:56:51,122 - INFO - Macro F1: 0.6826 +2026-04-09 23:56:51,122 - INFO - Weighted F1: 0.6968 +2026-04-09 23:56:51,122 - INFO - +2026-04-09 23:56:51,122 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8882 +2026-04-09 23:56:51,122 - INFO - Horizon 1.0s - Overall F1: 0.8927, Precision: 0.8933, Recall: 0.8945 +2026-04-09 23:56:51,122 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 23:56:51,122 - INFO - Macro F1: 0.8927 +2026-04-09 23:56:51,122 - INFO - Weighted F1: 0.8878 +2026-04-09 23:56:51,122 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9379 +2026-04-09 23:56:51,122 - INFO - Horizon 1.0s - Steady F1: 0.9312, Precision: 0.9240, Recall: 0.9409 +2026-04-09 23:56:51,122 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 23:56:51,123 - INFO - Macro F1: 0.9312 +2026-04-09 23:56:51,123 - INFO - Weighted F1: 0.9379 +2026-04-09 23:56:51,123 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6532 +2026-04-09 23:56:51,123 - INFO - Horizon 1.0s - Transition F1: 0.6466, Precision: 0.6939, Recall: 0.6256 +2026-04-09 23:56:51,123 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 23:56:51,123 - INFO - Macro F1: 0.6466 +2026-04-09 23:56:51,123 - INFO - Weighted F1: 0.6510 +2026-04-09 23:56:52,365 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_36.pt +2026-04-09 23:56:52,367 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_36.csv +2026-04-09 23:56:52,368 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 23:56:52,368 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 23:56:52,369 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,370 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 23:56:52,370 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 23:56:52,371 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_36.csv +2026-04-09 23:56:52,372 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 23:56:52,373 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 23:56:52,373 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_36.csv +2026-04-09 23:56:52,374 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 23:56:52,375 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 23:56:52,375 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,376 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 23:56:52,377 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 23:56:52,377 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_36.csv +2026-04-09 23:56:52,378 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 23:56:52,379 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 23:56:52,380 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_36.csv +2026-04-09 23:56:52,380 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 23:56:52,381 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 23:56:52,382 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,382 - INFO - Saved best steady horizon 0.2s model metrics: 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steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,388 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 23:56:52,389 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 23:56:52,390 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_36.csv +2026-04-09 23:56:52,390 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 23:56:52,391 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 23:56:52,392 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_36.csv +2026-04-09 23:56:52,393 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 23:56:52,393 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 23:56:52,394 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,395 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 23:56:52,395 - INFO - Saved best steady horizon 0.5s confusion matrix: 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Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_36.csv +2026-04-09 23:56:52,399 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 23:56:52,400 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 23:56:52,400 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_36.csv +2026-04-09 23:56:52,401 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 23:56:52,402 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 23:56:52,403 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_36.csv +2026-04-09 23:56:52,403 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 23:56:52,404 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 23:56:52,420 - INFO - Removed old checkpoint: checkpoint_epoch_35.pt +2026-04-09 23:56:53,648 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-09 23:56:53,666 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-09 23:56:53,823 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-09 23:56:53,825 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 23:56:53,826 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 23:56:53,827 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 23:56:53,828 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 23:56:53,830 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 23:56:53,831 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 23:56:53,831 - INFO - Epoch 37/50, Learning Rate: 0.000009 +2026-04-10 00:22:12,589 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 00:22:12,663 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 00:22:12,722 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 00:22:12,787 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 00:22:12,854 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 00:22:12,917 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 00:22:14,971 - INFO - Epoch 37/50: +2026-04-10 00:22:14,972 - INFO - Train: loss=0.5953, accuracy_overall=0.9657 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s: accuracy=0.9734 +2026-04-10 00:22:14,972 - INFO - Horizon 0.1s: accuracy=0.9758 +2026-04-10 00:22:14,972 - INFO - Horizon 0.2s: accuracy=0.9715 +2026-04-10 00:22:14,972 - INFO - Horizon 0.3s: accuracy=0.9672 +2026-04-10 00:22:14,972 - INFO - Horizon 0.5s: accuracy=0.9597 +2026-04-10 00:22:14,972 - INFO - Horizon 1.0s: accuracy=0.9464 +2026-04-10 00:22:14,972 - INFO - Val Horizon 0.0s - Overall: loss=0.6972, accuracy=0.9283 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Overall F1: 0.9291, Precision: 0.9266, Recall: 0.9321 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 00:22:14,972 - INFO - Macro F1: 0.9291 +2026-04-10 00:22:14,972 - INFO - Weighted F1: 0.9282 +2026-04-10 00:22:14,972 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9706 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Steady F1: 0.9715, Precision: 0.9685, Recall: 0.9750 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 00:22:14,972 - INFO - Macro F1: 0.9715 +2026-04-10 00:22:14,972 - INFO - Weighted F1: 0.9706 +2026-04-10 00:22:14,972 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7332 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Transition F1: 0.7035, Precision: 0.7063, Recall: 0.7036 +2026-04-10 00:22:14,972 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 00:22:14,972 - INFO - Macro F1: 0.7035 +2026-04-10 00:22:14,973 - INFO - Weighted F1: 0.7329 +2026-04-10 00:22:14,973 - INFO - +2026-04-10 00:22:14,973 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9285 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Overall F1: 0.9299, Precision: 0.9244, Recall: 0.9363 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 00:22:14,973 - INFO - Macro F1: 0.9299 +2026-04-10 00:22:14,973 - INFO - Weighted F1: 0.9286 +2026-04-10 00:22:14,973 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9709 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Steady F1: 0.9725, Precision: 0.9679, Recall: 0.9777 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 00:22:14,973 - INFO - Macro F1: 0.9725 +2026-04-10 00:22:14,973 - INFO - Weighted F1: 0.9710 +2026-04-10 00:22:14,973 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7358 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Transition F1: 0.7031, Precision: 0.6942, Recall: 0.7164 +2026-04-10 00:22:14,973 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 00:22:14,973 - INFO - Macro F1: 0.7031 +2026-04-10 00:22:14,973 - INFO - Weighted F1: 0.7347 +2026-04-10 00:22:14,973 - INFO - +2026-04-10 00:22:14,973 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9282 +2026-04-10 00:22:14,973 - INFO - Horizon 0.2s - Overall F1: 0.9302, Precision: 0.9267, Recall: 0.9348 +2026-04-10 00:22:14,973 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 00:22:14,973 - INFO - Macro F1: 0.9302 +2026-04-10 00:22:14,973 - INFO - Weighted F1: 0.9282 +2026-04-10 00:22:14,973 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9705 +2026-04-10 00:22:14,973 - INFO - Horizon 0.2s - Steady F1: 0.9715, Precision: 0.9660, Recall: 0.9780 +2026-04-10 00:22:14,974 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 00:22:14,974 - INFO - Macro F1: 0.9715 +2026-04-10 00:22:14,974 - INFO - Weighted F1: 0.9706 +2026-04-10 00:22:14,974 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7310 +2026-04-10 00:22:14,974 - INFO - Horizon 0.2s - Transition F1: 0.7203, Precision: 0.7161, Recall: 0.7295 +2026-04-10 00:22:14,974 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 00:22:14,974 - INFO - Macro F1: 0.7203 +2026-04-10 00:22:14,974 - INFO - Weighted F1: 0.7312 +2026-04-10 00:22:14,974 - INFO - +2026-04-10 00:22:14,974 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9240 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Overall F1: 0.9270, Precision: 0.9237, Recall: 0.9313 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 00:22:14,974 - INFO - Macro F1: 0.9270 +2026-04-10 00:22:14,974 - INFO - Weighted F1: 0.9239 +2026-04-10 00:22:14,974 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9673 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Steady F1: 0.9678, Precision: 0.9624, Recall: 0.9740 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 00:22:14,974 - INFO - Macro F1: 0.9678 +2026-04-10 00:22:14,974 - INFO - Weighted F1: 0.9674 +2026-04-10 00:22:14,974 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7270 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Transition F1: 0.7199, Precision: 0.7173, Recall: 0.7276 +2026-04-10 00:22:14,974 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 00:22:14,974 - INFO - Macro F1: 0.7199 +2026-04-10 00:22:14,974 - INFO - Weighted F1: 0.7280 +2026-04-10 00:22:14,974 - INFO - +2026-04-10 00:22:14,975 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9167 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Overall F1: 0.9185, Precision: 0.9178, Recall: 0.9211 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 00:22:14,975 - INFO - Macro F1: 0.9185 +2026-04-10 00:22:14,975 - INFO - Weighted F1: 0.9163 +2026-04-10 00:22:14,975 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9612 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Steady F1: 0.9591, Precision: 0.9547, Recall: 0.9648 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 00:22:14,975 - INFO - Macro F1: 0.9591 +2026-04-10 00:22:14,975 - INFO - Weighted F1: 0.9613 +2026-04-10 00:22:14,975 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7104 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Transition F1: 0.7163, Precision: 0.7159, Recall: 0.7264 +2026-04-10 00:22:14,975 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 00:22:14,975 - INFO - Macro F1: 0.7163 +2026-04-10 00:22:14,975 - INFO - Weighted F1: 0.7120 +2026-04-10 00:22:14,975 - INFO - +2026-04-10 00:22:14,975 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8922 +2026-04-10 00:22:14,975 - INFO - Horizon 1.0s - Overall F1: 0.8948, Precision: 0.8953, Recall: 0.8963 +2026-04-10 00:22:14,975 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 00:22:14,975 - INFO - Macro F1: 0.8948 +2026-04-10 00:22:14,975 - INFO - Weighted F1: 0.8914 +2026-04-10 00:22:14,975 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9447 +2026-04-10 00:22:14,975 - INFO - Horizon 1.0s - Steady F1: 0.9367, Precision: 0.9325, Recall: 0.9430 +2026-04-10 00:22:14,975 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 00:22:14,976 - INFO - Macro F1: 0.9367 +2026-04-10 00:22:14,976 - INFO - Weighted F1: 0.9445 +2026-04-10 00:22:14,976 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6441 +2026-04-10 00:22:14,976 - INFO - Horizon 1.0s - Transition F1: 0.6583, Precision: 0.6811, Recall: 0.6466 +2026-04-10 00:22:14,976 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 00:22:14,976 - INFO - Macro F1: 0.6583 +2026-04-10 00:22:14,976 - INFO - Weighted F1: 0.6451 +2026-04-10 00:22:15,928 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_37.pt +2026-04-10 00:22:15,931 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,932 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,933 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,933 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,934 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,935 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,936 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,937 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,938 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,938 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,939 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,940 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,941 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,942 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,942 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,943 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_37.csv +2026-04-10 00:22:15,944 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_37.csv +2026-04-10 00:22:15,945 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_37.csv +2026-04-10 00:22:15,961 - INFO - Removed old checkpoint: checkpoint_epoch_36.pt +2026-04-10 00:22:15,963 - INFO - Epoch 38/50, Learning Rate: 0.000008 +2026-04-10 00:47:14,691 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 00:47:14,769 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 00:47:14,847 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 00:47:14,922 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 00:47:14,988 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 00:47:15,064 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 00:47:17,122 - INFO - Epoch 38/50: +2026-04-10 00:47:17,123 - INFO - Train: loss=0.5983, accuracy_overall=0.9638 +2026-04-10 00:47:17,123 - INFO - Horizon 0.0s: accuracy=0.9693 +2026-04-10 00:47:17,123 - INFO - Horizon 0.1s: accuracy=0.9723 +2026-04-10 00:47:17,123 - INFO - Horizon 0.2s: accuracy=0.9693 +2026-04-10 00:47:17,123 - INFO - Horizon 0.3s: accuracy=0.9659 +2026-04-10 00:47:17,123 - INFO - Horizon 0.5s: accuracy=0.9586 +2026-04-10 00:47:17,123 - INFO - Horizon 1.0s: accuracy=0.9478 +2026-04-10 00:47:17,124 - INFO - Val Horizon 0.0s - Overall: loss=0.6901, accuracy=0.9323 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Overall F1: 0.9319, Precision: 0.9329, Recall: 0.9319 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 00:47:17,124 - INFO - Macro F1: 0.9319 +2026-04-10 00:47:17,124 - INFO - Weighted F1: 0.9322 +2026-04-10 00:47:17,124 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9730 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Steady F1: 0.9724, Precision: 0.9719, Recall: 0.9735 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 00:47:17,124 - INFO - Macro F1: 0.9724 +2026-04-10 00:47:17,124 - INFO - Weighted F1: 0.9731 +2026-04-10 00:47:17,124 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7441 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Transition F1: 0.7136, Precision: 0.7249, Recall: 0.7062 +2026-04-10 00:47:17,124 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 00:47:17,124 - INFO - Macro F1: 0.7136 +2026-04-10 00:47:17,124 - INFO - Weighted F1: 0.7457 +2026-04-10 00:47:17,124 - INFO - +2026-04-10 00:47:17,124 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9326 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Overall F1: 0.9336, Precision: 0.9303, Recall: 0.9382 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 00:47:17,125 - INFO - Macro F1: 0.9336 +2026-04-10 00:47:17,125 - INFO - Weighted F1: 0.9327 +2026-04-10 00:47:17,125 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9734 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Steady F1: 0.9738, Precision: 0.9711, Recall: 0.9772 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 00:47:17,125 - INFO - Macro F1: 0.9738 +2026-04-10 00:47:17,125 - INFO - Weighted F1: 0.9735 +2026-04-10 00:47:17,125 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7472 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Transition F1: 0.7206, Precision: 0.7147, Recall: 0.7335 +2026-04-10 00:47:17,125 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 00:47:17,125 - INFO - Macro F1: 0.7206 +2026-04-10 00:47:17,125 - INFO - Weighted F1: 0.7479 +2026-04-10 00:47:17,125 - INFO - +2026-04-10 00:47:17,125 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9293 +2026-04-10 00:47:17,125 - INFO - Horizon 0.2s - Overall F1: 0.9303, Precision: 0.9298, Recall: 0.9327 +2026-04-10 00:47:17,125 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 00:47:17,125 - INFO - Macro F1: 0.9303 +2026-04-10 00:47:17,125 - INFO - Weighted F1: 0.9293 +2026-04-10 00:47:17,125 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9713 +2026-04-10 00:47:17,125 - INFO - Horizon 0.2s - Steady F1: 0.9713, Precision: 0.9681, Recall: 0.9757 +2026-04-10 00:47:17,125 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 00:47:17,126 - INFO - Macro F1: 0.9713 +2026-04-10 00:47:17,126 - INFO - Weighted F1: 0.9714 +2026-04-10 00:47:17,126 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7336 +2026-04-10 00:47:17,126 - INFO - Horizon 0.2s - Transition F1: 0.7283, Precision: 0.7307, Recall: 0.7334 +2026-04-10 00:47:17,126 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 00:47:17,126 - INFO - Macro F1: 0.7283 +2026-04-10 00:47:17,126 - INFO - Weighted F1: 0.7359 +2026-04-10 00:47:17,126 - INFO - +2026-04-10 00:47:17,126 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9261 +2026-04-10 00:47:17,126 - INFO - Horizon 0.3s - Overall F1: 0.9272, Precision: 0.9272, Recall: 0.9285 +2026-04-10 00:47:17,126 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 00:47:17,126 - INFO - Macro F1: 0.9272 +2026-04-10 00:47:17,126 - INFO - Weighted F1: 0.9262 +2026-04-10 00:47:17,126 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9674 +2026-04-10 00:47:17,126 - INFO - Horizon 0.3s - Steady F1: 0.9661, Precision: 0.9625, Recall: 0.9705 +2026-04-10 00:47:17,126 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 00:47:17,126 - INFO - Macro F1: 0.9661 +2026-04-10 00:47:17,126 - INFO - Weighted F1: 0.9676 +2026-04-10 00:47:17,126 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7383 +2026-04-10 00:47:17,126 - INFO - Horizon 0.3s - Transition F1: 0.7251, Precision: 0.7371, Recall: 0.7203 +2026-04-10 00:47:17,127 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 00:47:17,127 - INFO - Macro F1: 0.7251 +2026-04-10 00:47:17,127 - INFO - Weighted F1: 0.7396 +2026-04-10 00:47:17,127 - INFO - +2026-04-10 00:47:17,127 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9165 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Overall F1: 0.9176, Precision: 0.9193, Recall: 0.9178 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 00:47:17,127 - INFO - Macro F1: 0.9176 +2026-04-10 00:47:17,127 - INFO - Weighted F1: 0.9165 +2026-04-10 00:47:17,127 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9626 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Steady F1: 0.9599, Precision: 0.9571, Recall: 0.9640 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 00:47:17,127 - INFO - Macro F1: 0.9599 +2026-04-10 00:47:17,127 - INFO - Weighted F1: 0.9627 +2026-04-10 00:47:17,127 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7028 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Transition F1: 0.6876, Precision: 0.7104, Recall: 0.6785 +2026-04-10 00:47:17,127 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 00:47:17,127 - INFO - Macro F1: 0.6876 +2026-04-10 00:47:17,127 - INFO - Weighted F1: 0.7042 +2026-04-10 00:47:17,127 - INFO - +2026-04-10 00:47:17,127 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8950 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Overall F1: 0.8982, Precision: 0.8984, Recall: 0.8991 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 00:47:17,128 - INFO - Macro F1: 0.8982 +2026-04-10 00:47:17,128 - INFO - Weighted F1: 0.8947 +2026-04-10 00:47:17,128 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9448 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Steady F1: 0.9379, Precision: 0.9316, Recall: 0.9453 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 00:47:17,128 - INFO - Macro F1: 0.9379 +2026-04-10 00:47:17,128 - INFO - Weighted F1: 0.9449 +2026-04-10 00:47:17,128 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6597 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Transition F1: 0.6583, Precision: 0.6880, Recall: 0.6432 +2026-04-10 00:47:17,128 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 00:47:17,128 - INFO - Macro F1: 0.6583 +2026-04-10 00:47:17,128 - INFO - Weighted F1: 0.6602 +2026-04-10 00:47:18,175 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_38.pt +2026-04-10 00:47:18,177 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_38.csv +2026-04-10 00:47:18,178 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-10 00:47:18,178 - INFO - Saved best overall horizon 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00:47:18,214 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-10 00:47:18,215 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-10 00:47:18,229 - INFO - Removed old checkpoint: checkpoint_epoch_37.pt +2026-04-10 00:47:19,254 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-10 00:47:19,269 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-10 00:47:19,424 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-10 00:47:19,426 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-10 00:47:19,427 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-10 00:47:19,428 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-10 00:47:19,429 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-10 00:47:19,430 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-10 00:47:19,431 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-10 00:47:19,432 - INFO - Epoch 39/50, Learning Rate: 0.000007 +2026-04-10 01:12:06,894 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 01:12:06,962 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 01:12:07,022 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 01:12:07,081 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 01:12:07,138 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 01:12:07,196 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 01:12:09,322 - INFO - Epoch 39/50: +2026-04-10 01:12:09,323 - INFO - Train: loss=0.5967, accuracy_overall=0.9651 +2026-04-10 01:12:09,323 - INFO - Horizon 0.0s: accuracy=0.9734 +2026-04-10 01:12:09,323 - INFO - Horizon 0.1s: accuracy=0.9703 +2026-04-10 01:12:09,324 - INFO - Horizon 0.2s: accuracy=0.9734 +2026-04-10 01:12:09,324 - INFO - Horizon 0.3s: accuracy=0.9672 +2026-04-10 01:12:09,324 - INFO - Horizon 0.5s: accuracy=0.9581 +2026-04-10 01:12:09,324 - INFO - Horizon 1.0s: accuracy=0.9481 +2026-04-10 01:12:09,324 - INFO - Val Horizon 0.0s - Overall: loss=0.6903, accuracy=0.9325 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Overall F1: 0.9334, Precision: 0.9285, Recall: 0.9393 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 01:12:09,324 - INFO - Macro F1: 0.9334 +2026-04-10 01:12:09,324 - INFO - Weighted F1: 0.9325 +2026-04-10 01:12:09,324 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9728 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Steady F1: 0.9733, Precision: 0.9686, Recall: 0.9788 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 01:12:09,324 - INFO - Macro F1: 0.9733 +2026-04-10 01:12:09,324 - INFO - Weighted F1: 0.9728 +2026-04-10 01:12:09,324 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7466 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Transition F1: 0.7282, Precision: 0.7152, Recall: 0.7444 +2026-04-10 01:12:09,324 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 01:12:09,324 - INFO - Macro F1: 0.7282 +2026-04-10 01:12:09,324 - INFO - Weighted F1: 0.7475 +2026-04-10 01:12:09,324 - INFO - +2026-04-10 01:12:09,324 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9315 +2026-04-10 01:12:09,324 - INFO - Horizon 0.1s - Overall F1: 0.9327, Precision: 0.9253, Recall: 0.9415 +2026-04-10 01:12:09,325 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.9327 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.9316 +2026-04-10 01:12:09,325 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9734 +2026-04-10 01:12:09,325 - INFO - Horizon 0.1s - Steady F1: 0.9745, Precision: 0.9675, Recall: 0.9825 +2026-04-10 01:12:09,325 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.9745 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.9735 +2026-04-10 01:12:09,325 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7409 +2026-04-10 01:12:09,325 - INFO - Horizon 0.1s - Transition F1: 0.7135, Precision: 0.6958, Recall: 0.7377 +2026-04-10 01:12:09,325 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.7135 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.7412 +2026-04-10 01:12:09,325 - INFO - +2026-04-10 01:12:09,325 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9284 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Overall F1: 0.9303, Precision: 0.9240, Recall: 0.9386 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.9303 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.9285 +2026-04-10 01:12:09,325 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9709 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Steady F1: 0.9715, Precision: 0.9635, Recall: 0.9808 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.9715 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.9711 +2026-04-10 01:12:09,325 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7304 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Transition F1: 0.7282, Precision: 0.7167, Recall: 0.7504 +2026-04-10 01:12:09,325 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 01:12:09,325 - INFO - Macro F1: 0.7282 +2026-04-10 01:12:09,325 - INFO - Weighted F1: 0.7324 +2026-04-10 01:12:09,325 - INFO - +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9264 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Overall F1: 0.9291, Precision: 0.9235, Recall: 0.9359 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.9291 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.9264 +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9667 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Steady F1: 0.9659, Precision: 0.9592, Recall: 0.9736 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.9659 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.9669 +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7427 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Transition F1: 0.7394, Precision: 0.7269, Recall: 0.7557 +2026-04-10 01:12:09,326 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.7394 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.7439 +2026-04-10 01:12:09,326 - INFO - +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9158 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Overall F1: 0.9175, Precision: 0.9139, Recall: 0.9226 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.9175 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.9157 +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9608 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Steady F1: 0.9580, Precision: 0.9521, Recall: 0.9651 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.9580 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.9610 +2026-04-10 01:12:09,326 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7072 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Transition F1: 0.7061, Precision: 0.7018, Recall: 0.7195 +2026-04-10 01:12:09,326 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 01:12:09,326 - INFO - Macro F1: 0.7061 +2026-04-10 01:12:09,326 - INFO - Weighted F1: 0.7086 +2026-04-10 01:12:09,326 - INFO - +2026-04-10 01:12:09,326 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8910 +2026-04-10 01:12:09,326 - INFO - Horizon 1.0s - Overall F1: 0.8936, Precision: 0.8941, Recall: 0.8942 +2026-04-10 01:12:09,326 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 01:12:09,327 - INFO - Macro F1: 0.8936 +2026-04-10 01:12:09,327 - INFO - Weighted F1: 0.8906 +2026-04-10 01:12:09,327 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9426 +2026-04-10 01:12:09,327 - INFO - Horizon 1.0s - Steady F1: 0.9363, Precision: 0.9286, Recall: 0.9451 +2026-04-10 01:12:09,327 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 01:12:09,327 - INFO - Macro F1: 0.9363 +2026-04-10 01:12:09,327 - INFO - Weighted F1: 0.9428 +2026-04-10 01:12:09,327 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6474 +2026-04-10 01:12:09,327 - INFO - Horizon 1.0s - Transition F1: 0.6354, Precision: 0.6696, Recall: 0.6203 +2026-04-10 01:12:09,327 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 01:12:09,327 - INFO - Macro F1: 0.6354 +2026-04-10 01:12:09,327 - INFO - Weighted F1: 0.6490 +2026-04-10 01:12:10,428 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_39.pt +2026-04-10 01:12:10,430 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_39.csv +2026-04-10 01:12:10,431 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-10 01:12:10,432 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-10 01:12:10,433 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,434 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-10 01:12:10,435 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,436 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,436 - INFO - Saved best transition 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best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-10 01:12:10,441 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,443 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-10 01:12:10,443 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,444 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,445 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-10 01:12:10,446 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-10 01:12:10,447 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_39.csv +2026-04-10 01:12:10,448 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-10 01:12:10,449 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-10 01:12:10,450 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,451 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-10 01:12:10,451 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,452 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,453 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-10 01:12:10,453 - INFO - Saved best transition 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steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,457 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-10 01:12:10,458 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,459 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,459 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-10 01:12:10,460 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-10 01:12:10,461 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_39.csv +2026-04-10 01:12:10,462 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-10 01:12:10,462 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-10 01:12:10,463 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,464 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-10 01:12:10,465 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,466 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,466 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-10 01:12:10,467 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-10 01:12:10,468 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_39.csv +2026-04-10 01:12:10,469 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics.csv +2026-04-10 01:12:10,470 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-10 01:12:10,470 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_39.csv +2026-04-10 01:12:10,471 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-10 01:12:10,472 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-10 01:12:10,473 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_39.csv +2026-04-10 01:12:10,474 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-10 01:12:10,474 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-10 01:12:10,487 - INFO - Removed old checkpoint: checkpoint_epoch_38.pt +2026-04-10 01:12:11,624 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-10 01:12:11,644 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-10 01:12:11,798 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-10 01:12:11,799 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-10 01:12:11,801 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-10 01:12:11,802 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-10 01:12:11,803 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-10 01:12:11,804 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-10 01:12:11,805 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-10 01:12:11,805 - INFO - Epoch 40/50, Learning Rate: 0.000006 +2026-04-10 01:36:30,427 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 01:36:30,505 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 01:36:30,577 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 01:36:30,644 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 01:36:30,706 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 01:36:30,775 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 01:36:32,860 - INFO - Epoch 40/50: +2026-04-10 01:36:32,861 - INFO - Train: loss=0.5942, accuracy_overall=0.9669 +2026-04-10 01:36:32,861 - INFO - Horizon 0.0s: accuracy=0.9733 +2026-04-10 01:36:32,861 - INFO - Horizon 0.1s: accuracy=0.9761 +2026-04-10 01:36:32,861 - INFO - Horizon 0.2s: accuracy=0.9694 +2026-04-10 01:36:32,861 - INFO - Horizon 0.3s: accuracy=0.9682 +2026-04-10 01:36:32,861 - INFO - Horizon 0.5s: accuracy=0.9654 +2026-04-10 01:36:32,861 - INFO - Horizon 1.0s: accuracy=0.9490 +2026-04-10 01:36:32,861 - INFO - Val Horizon 0.0s - Overall: loss=0.7027, accuracy=0.9274 +2026-04-10 01:36:32,861 - INFO - Horizon 0.0s - Overall F1: 0.9268, Precision: 0.9224, Recall: 0.9323 +2026-04-10 01:36:32,861 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 01:36:32,861 - INFO - Macro F1: 0.9268 +2026-04-10 01:36:32,861 - INFO - Weighted F1: 0.9274 +2026-04-10 01:36:32,861 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9693 +2026-04-10 01:36:32,861 - INFO - Horizon 0.0s - Steady F1: 0.9692, Precision: 0.9654, Recall: 0.9741 +2026-04-10 01:36:32,861 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 01:36:32,862 - INFO - Macro F1: 0.9692 +2026-04-10 01:36:32,862 - INFO - Weighted F1: 0.9694 +2026-04-10 01:36:32,862 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7339 +2026-04-10 01:36:32,862 - INFO - Horizon 0.0s - Transition F1: 0.7044, Precision: 0.6955, Recall: 0.7173 +2026-04-10 01:36:32,862 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 01:36:32,862 - INFO - Macro F1: 0.7044 +2026-04-10 01:36:32,862 - INFO - Weighted F1: 0.7345 +2026-04-10 01:36:32,862 - INFO - +2026-04-10 01:36:32,862 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9289 +2026-04-10 01:36:32,862 - INFO - Horizon 0.1s - Overall F1: 0.9293, Precision: 0.9237, Recall: 0.9362 +2026-04-10 01:36:32,862 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 01:36:32,862 - INFO - Macro F1: 0.9293 +2026-04-10 01:36:32,862 - INFO - Weighted F1: 0.9290 +2026-04-10 01:36:32,862 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9713 +2026-04-10 01:36:32,862 - INFO - Horizon 0.1s - Steady F1: 0.9722, Precision: 0.9662, Recall: 0.9792 +2026-04-10 01:36:32,862 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 01:36:32,863 - INFO - Macro F1: 0.9722 +2026-04-10 01:36:32,863 - INFO - Weighted F1: 0.9715 +2026-04-10 01:36:32,863 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7358 +2026-04-10 01:36:32,863 - INFO - Horizon 0.1s - Transition F1: 0.7024, Precision: 0.6949, Recall: 0.7159 +2026-04-10 01:36:32,863 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 01:36:32,863 - INFO - Macro F1: 0.7024 +2026-04-10 01:36:32,863 - INFO - Weighted F1: 0.7362 +2026-04-10 01:36:32,863 - INFO - +2026-04-10 01:36:32,863 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9264 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Overall F1: 0.9275, Precision: 0.9240, Recall: 0.9326 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 01:36:32,863 - INFO - Macro F1: 0.9275 +2026-04-10 01:36:32,863 - INFO - Weighted F1: 0.9264 +2026-04-10 01:36:32,863 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9692 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Steady F1: 0.9698, Precision: 0.9650, Recall: 0.9758 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 01:36:32,863 - INFO - Macro F1: 0.9698 +2026-04-10 01:36:32,863 - INFO - Weighted F1: 0.9694 +2026-04-10 01:36:32,863 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7265 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Transition F1: 0.7150, Precision: 0.7092, Recall: 0.7277 +2026-04-10 01:36:32,863 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 01:36:32,863 - INFO - Macro F1: 0.7150 +2026-04-10 01:36:32,863 - INFO - Weighted F1: 0.7275 +2026-04-10 01:36:32,863 - INFO - +2026-04-10 01:36:32,863 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9219 +2026-04-10 01:36:32,863 - INFO - Horizon 0.3s - Overall F1: 0.9243, Precision: 0.9202, Recall: 0.9299 +2026-04-10 01:36:32,864 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.9243 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.9221 +2026-04-10 01:36:32,864 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9651 +2026-04-10 01:36:32,864 - INFO - Horizon 0.3s - Steady F1: 0.9647, Precision: 0.9602, Recall: 0.9704 +2026-04-10 01:36:32,864 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.9647 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.9653 +2026-04-10 01:36:32,864 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7257 +2026-04-10 01:36:32,864 - INFO - Horizon 0.3s - Transition F1: 0.7089, Precision: 0.7021, Recall: 0.7198 +2026-04-10 01:36:32,864 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.7089 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.7258 +2026-04-10 01:36:32,864 - INFO - +2026-04-10 01:36:32,864 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9135 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Overall F1: 0.9160, Precision: 0.9138, Recall: 0.9199 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.9160 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.9135 +2026-04-10 01:36:32,864 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9587 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Steady F1: 0.9569, Precision: 0.9514, Recall: 0.9637 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.9569 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.9589 +2026-04-10 01:36:32,864 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7040 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Transition F1: 0.7017, Precision: 0.7091, Recall: 0.7020 +2026-04-10 01:36:32,864 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.7017 +2026-04-10 01:36:32,864 - INFO - Weighted F1: 0.7046 +2026-04-10 01:36:32,864 - INFO - +2026-04-10 01:36:32,864 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8906 +2026-04-10 01:36:32,864 - INFO - Horizon 1.0s - Overall F1: 0.8945, Precision: 0.8962, Recall: 0.8939 +2026-04-10 01:36:32,864 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 01:36:32,864 - INFO - Macro F1: 0.8945 +2026-04-10 01:36:32,865 - INFO - Weighted F1: 0.8903 +2026-04-10 01:36:32,865 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9408 +2026-04-10 01:36:32,865 - INFO - Horizon 1.0s - Steady F1: 0.9358, Precision: 0.9289, Recall: 0.9439 +2026-04-10 01:36:32,865 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 01:36:32,865 - INFO - Macro F1: 0.9358 +2026-04-10 01:36:32,865 - INFO - Weighted F1: 0.9410 +2026-04-10 01:36:32,865 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6532 +2026-04-10 01:36:32,865 - INFO - Horizon 1.0s - Transition F1: 0.6381, Precision: 0.6822, Recall: 0.6146 +2026-04-10 01:36:32,865 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 01:36:32,865 - INFO - Macro F1: 0.6381 +2026-04-10 01:36:32,865 - INFO - Weighted F1: 0.6545 +2026-04-10 01:36:33,784 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_40.pt +2026-04-10 01:36:33,785 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,786 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,787 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,788 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,788 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,789 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,790 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,791 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,791 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,792 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,793 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,793 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,794 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,795 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,796 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,797 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_40.csv +2026-04-10 01:36:33,797 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_40.csv +2026-04-10 01:36:33,798 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_40.csv +2026-04-10 01:36:33,809 - INFO - Removed old checkpoint: checkpoint_epoch_39.pt +2026-04-10 01:36:33,810 - INFO - Epoch 41/50, Learning Rate: 0.000005 +2026-04-10 02:01:07,712 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 02:01:07,783 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:01:07,853 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 02:01:07,918 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:01:07,982 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 02:01:08,048 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 02:01:10,112 - INFO - Epoch 41/50: +2026-04-10 02:01:10,113 - INFO - Train: loss=0.5918, accuracy_overall=0.9673 +2026-04-10 02:01:10,113 - INFO - Horizon 0.0s: accuracy=0.9708 +2026-04-10 02:01:10,113 - INFO - Horizon 0.1s: accuracy=0.9709 +2026-04-10 02:01:10,113 - INFO - Horizon 0.2s: accuracy=0.9747 +2026-04-10 02:01:10,113 - INFO - Horizon 0.3s: accuracy=0.9706 +2026-04-10 02:01:10,114 - INFO - Horizon 0.5s: accuracy=0.9659 +2026-04-10 02:01:10,114 - INFO - Horizon 1.0s: accuracy=0.9508 +2026-04-10 02:01:10,114 - INFO - Val Horizon 0.0s - Overall: loss=0.6974, accuracy=0.9287 +2026-04-10 02:01:10,114 - INFO - Horizon 0.0s - Overall F1: 0.9302, Precision: 0.9250, Recall: 0.9363 +2026-04-10 02:01:10,114 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 02:01:10,114 - INFO - Macro F1: 0.9302 +2026-04-10 02:01:10,114 - INFO - Weighted F1: 0.9288 +2026-04-10 02:01:10,114 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9707 +2026-04-10 02:01:10,114 - INFO - Horizon 0.0s - Steady F1: 0.9717, Precision: 0.9674, Recall: 0.9767 +2026-04-10 02:01:10,114 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 02:01:10,114 - INFO - Macro F1: 0.9717 +2026-04-10 02:01:10,114 - INFO - Weighted F1: 0.9708 +2026-04-10 02:01:10,114 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7352 +2026-04-10 02:01:10,115 - INFO - Horizon 0.0s - Transition F1: 0.7187, Precision: 0.7070, Recall: 0.7350 +2026-04-10 02:01:10,115 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 02:01:10,115 - INFO - Macro F1: 0.7187 +2026-04-10 02:01:10,115 - INFO - Weighted F1: 0.7345 +2026-04-10 02:01:10,115 - INFO - +2026-04-10 02:01:10,115 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9290 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Overall F1: 0.9306, Precision: 0.9239, Recall: 0.9385 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 02:01:10,115 - INFO - Macro F1: 0.9306 +2026-04-10 02:01:10,115 - INFO - Weighted F1: 0.9291 +2026-04-10 02:01:10,115 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9717 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Steady F1: 0.9730, Precision: 0.9666, Recall: 0.9804 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 02:01:10,115 - INFO - Macro F1: 0.9730 +2026-04-10 02:01:10,115 - INFO - Weighted F1: 0.9719 +2026-04-10 02:01:10,115 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7346 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Transition F1: 0.7094, Precision: 0.6962, Recall: 0.7301 +2026-04-10 02:01:10,115 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 02:01:10,115 - INFO - Macro F1: 0.7094 +2026-04-10 02:01:10,116 - INFO - Weighted F1: 0.7346 +2026-04-10 02:01:10,116 - INFO - +2026-04-10 02:01:10,116 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9285 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Overall F1: 0.9301, Precision: 0.9273, Recall: 0.9342 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 02:01:10,116 - INFO - Macro F1: 0.9301 +2026-04-10 02:01:10,116 - INFO - Weighted F1: 0.9286 +2026-04-10 02:01:10,116 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9698 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Steady F1: 0.9705, Precision: 0.9648, Recall: 0.9772 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 02:01:10,116 - INFO - Macro F1: 0.9705 +2026-04-10 02:01:10,116 - INFO - Weighted F1: 0.9699 +2026-04-10 02:01:10,116 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7362 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Transition F1: 0.7245, Precision: 0.7252, Recall: 0.7306 +2026-04-10 02:01:10,116 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 02:01:10,116 - INFO - Macro F1: 0.7245 +2026-04-10 02:01:10,116 - INFO - Weighted F1: 0.7375 +2026-04-10 02:01:10,116 - INFO - +2026-04-10 02:01:10,116 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9242 +2026-04-10 02:01:10,116 - INFO - Horizon 0.3s - Overall F1: 0.9269, Precision: 0.9227, Recall: 0.9323 +2026-04-10 02:01:10,116 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 02:01:10,116 - INFO - Macro F1: 0.9269 +2026-04-10 02:01:10,116 - INFO - Weighted F1: 0.9243 +2026-04-10 02:01:10,117 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9653 +2026-04-10 02:01:10,117 - INFO - Horizon 0.3s - Steady F1: 0.9656, Precision: 0.9595, Recall: 0.9728 +2026-04-10 02:01:10,117 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 02:01:10,117 - INFO - Macro F1: 0.9656 +2026-04-10 02:01:10,117 - INFO - Weighted F1: 0.9655 +2026-04-10 02:01:10,117 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7371 +2026-04-10 02:01:10,117 - INFO - Horizon 0.3s - Transition F1: 0.7184, Precision: 0.7151, Recall: 0.7253 +2026-04-10 02:01:10,117 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 02:01:10,117 - INFO - Macro F1: 0.7184 +2026-04-10 02:01:10,117 - INFO - Weighted F1: 0.7375 +2026-04-10 02:01:10,117 - INFO - +2026-04-10 02:01:10,117 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9167 +2026-04-10 02:01:10,117 - INFO - Horizon 0.5s - Overall F1: 0.9195, Precision: 0.9174, Recall: 0.9229 +2026-04-10 02:01:10,117 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 02:01:10,117 - INFO - Macro F1: 0.9195 +2026-04-10 02:01:10,117 - INFO - Weighted F1: 0.9168 +2026-04-10 02:01:10,117 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9602 +2026-04-10 02:01:10,117 - INFO - Horizon 0.5s - Steady F1: 0.9587, Precision: 0.9530, Recall: 0.9654 +2026-04-10 02:01:10,117 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 02:01:10,118 - INFO - Macro F1: 0.9587 +2026-04-10 02:01:10,118 - INFO - Weighted F1: 0.9604 +2026-04-10 02:01:10,118 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7149 +2026-04-10 02:01:10,118 - INFO - Horizon 0.5s - Transition F1: 0.7057, Precision: 0.7193, Recall: 0.6991 +2026-04-10 02:01:10,118 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 02:01:10,118 - INFO - Macro F1: 0.7057 +2026-04-10 02:01:10,118 - INFO - Weighted F1: 0.7147 +2026-04-10 02:01:10,118 - INFO - +2026-04-10 02:01:10,118 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8893 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Overall F1: 0.8930, Precision: 0.8985, Recall: 0.8890 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 02:01:10,118 - INFO - Macro F1: 0.8930 +2026-04-10 02:01:10,118 - INFO - Weighted F1: 0.8887 +2026-04-10 02:01:10,118 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9422 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Steady F1: 0.9360, Precision: 0.9323, Recall: 0.9409 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 02:01:10,118 - INFO - Macro F1: 0.9360 +2026-04-10 02:01:10,118 - INFO - Weighted F1: 0.9422 +2026-04-10 02:01:10,118 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6396 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Transition F1: 0.6278, Precision: 0.6841, Recall: 0.5971 +2026-04-10 02:01:10,118 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 02:01:10,118 - INFO - Macro F1: 0.6278 +2026-04-10 02:01:10,118 - INFO - Weighted F1: 0.6403 +2026-04-10 02:01:11,135 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_41.pt +2026-04-10 02:01:11,139 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,140 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,141 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,142 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,143 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,144 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,144 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,145 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,146 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,147 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,148 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,149 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,150 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,151 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,151 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,152 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_41.csv +2026-04-10 02:01:11,153 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_41.csv +2026-04-10 02:01:11,154 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_41.csv +2026-04-10 02:01:11,168 - INFO - Removed old checkpoint: checkpoint_epoch_40.pt +2026-04-10 02:01:11,169 - INFO - Epoch 42/50, Learning Rate: 0.000004 +2026-04-10 02:25:31,691 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 02:25:31,769 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:25:31,825 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 02:25:31,892 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:25:31,966 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 02:25:32,027 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 02:25:34,075 - INFO - Epoch 42/50: +2026-04-10 02:25:34,075 - INFO - Train: loss=0.5906, accuracy_overall=0.9676 +2026-04-10 02:25:34,076 - INFO - Horizon 0.0s: accuracy=0.9728 +2026-04-10 02:25:34,076 - INFO - Horizon 0.1s: accuracy=0.9739 +2026-04-10 02:25:34,076 - INFO - Horizon 0.2s: accuracy=0.9719 +2026-04-10 02:25:34,076 - INFO - Horizon 0.3s: accuracy=0.9714 +2026-04-10 02:25:34,076 - INFO - Horizon 0.5s: accuracy=0.9652 +2026-04-10 02:25:34,076 - INFO - Horizon 1.0s: accuracy=0.9504 +2026-04-10 02:25:34,076 - INFO - Val Horizon 0.0s - Overall: loss=0.6992, accuracy=0.9295 +2026-04-10 02:25:34,076 - INFO - Horizon 0.0s - Overall F1: 0.9300, Precision: 0.9256, Recall: 0.9353 +2026-04-10 02:25:34,076 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 02:25:34,076 - INFO - Macro F1: 0.9300 +2026-04-10 02:25:34,076 - INFO - Weighted F1: 0.9295 +2026-04-10 02:25:34,076 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9717 +2026-04-10 02:25:34,076 - INFO - Horizon 0.0s - Steady F1: 0.9720, Precision: 0.9686, Recall: 0.9762 +2026-04-10 02:25:34,076 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 02:25:34,076 - INFO - Macro F1: 0.9720 +2026-04-10 02:25:34,077 - INFO - Weighted F1: 0.9717 +2026-04-10 02:25:34,077 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7352 +2026-04-10 02:25:34,077 - INFO - Horizon 0.0s - Transition F1: 0.7055, Precision: 0.6941, Recall: 0.7204 +2026-04-10 02:25:34,077 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 02:25:34,077 - INFO - Macro F1: 0.7055 +2026-04-10 02:25:34,077 - INFO - Weighted F1: 0.7360 +2026-04-10 02:25:34,077 - INFO - +2026-04-10 02:25:34,077 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9308 +2026-04-10 02:25:34,077 - INFO - Horizon 0.1s - Overall F1: 0.9314, Precision: 0.9261, Recall: 0.9379 +2026-04-10 02:25:34,077 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 02:25:34,077 - INFO - Macro F1: 0.9314 +2026-04-10 02:25:34,077 - INFO - Weighted F1: 0.9308 +2026-04-10 02:25:34,077 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9717 +2026-04-10 02:25:34,077 - INFO - Horizon 0.1s - Steady F1: 0.9726, Precision: 0.9679, Recall: 0.9782 +2026-04-10 02:25:34,077 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 02:25:34,077 - INFO - Macro F1: 0.9726 +2026-04-10 02:25:34,077 - INFO - Weighted F1: 0.9719 +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7446 +2026-04-10 02:25:34,078 - INFO - Horizon 0.1s - Transition F1: 0.7125, Precision: 0.6968, Recall: 0.7335 +2026-04-10 02:25:34,078 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.7125 +2026-04-10 02:25:34,078 - INFO - Weighted F1: 0.7456 +2026-04-10 02:25:34,078 - INFO - +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9263 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Overall F1: 0.9278, Precision: 0.9242, Recall: 0.9328 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.9278 +2026-04-10 02:25:34,078 - INFO - Weighted F1: 0.9262 +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9691 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Steady F1: 0.9698, Precision: 0.9645, Recall: 0.9761 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.9698 +2026-04-10 02:25:34,078 - INFO - Weighted F1: 0.9692 +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7265 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Transition F1: 0.7224, Precision: 0.7160, Recall: 0.7354 +2026-04-10 02:25:34,078 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.7224 +2026-04-10 02:25:34,078 - INFO - Weighted F1: 0.7279 +2026-04-10 02:25:34,078 - INFO - +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9222 +2026-04-10 02:25:34,078 - INFO - Horizon 0.3s - Overall F1: 0.9248, Precision: 0.9199, Recall: 0.9312 +2026-04-10 02:25:34,078 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.9248 +2026-04-10 02:25:34,078 - INFO - Weighted F1: 0.9221 +2026-04-10 02:25:34,078 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9651 +2026-04-10 02:25:34,078 - INFO - Horizon 0.3s - Steady F1: 0.9648, Precision: 0.9592, Recall: 0.9715 +2026-04-10 02:25:34,078 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 02:25:34,078 - INFO - Macro F1: 0.9648 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.9652 +2026-04-10 02:25:34,079 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7270 +2026-04-10 02:25:34,079 - INFO - Horizon 0.3s - Transition F1: 0.7155, Precision: 0.7069, Recall: 0.7295 +2026-04-10 02:25:34,079 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.7155 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.7275 +2026-04-10 02:25:34,079 - INFO - +2026-04-10 02:25:34,079 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9164 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Overall F1: 0.9189, Precision: 0.9159, Recall: 0.9230 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.9189 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.9163 +2026-04-10 02:25:34,079 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9595 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Steady F1: 0.9572, Precision: 0.9515, Recall: 0.9639 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.9572 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.9597 +2026-04-10 02:25:34,079 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7162 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Transition F1: 0.7165, Precision: 0.7227, Recall: 0.7145 +2026-04-10 02:25:34,079 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.7165 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.7175 +2026-04-10 02:25:34,079 - INFO - +2026-04-10 02:25:34,079 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8897 +2026-04-10 02:25:34,079 - INFO - Horizon 1.0s - Overall F1: 0.8933, Precision: 0.8973, Recall: 0.8906 +2026-04-10 02:25:34,079 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.8933 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.8891 +2026-04-10 02:25:34,079 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9418 +2026-04-10 02:25:34,079 - INFO - Horizon 1.0s - Steady F1: 0.9346, Precision: 0.9298, Recall: 0.9405 +2026-04-10 02:25:34,079 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 02:25:34,079 - INFO - Macro F1: 0.9346 +2026-04-10 02:25:34,079 - INFO - Weighted F1: 0.9419 +2026-04-10 02:25:34,079 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6435 +2026-04-10 02:25:34,079 - INFO - Horizon 1.0s - Transition F1: 0.6357, Precision: 0.6881, Recall: 0.6060 +2026-04-10 02:25:34,080 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 02:25:34,080 - INFO - Macro F1: 0.6357 +2026-04-10 02:25:34,080 - INFO - Weighted F1: 0.6450 +2026-04-10 02:25:35,074 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_42.pt +2026-04-10 02:25:35,075 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,076 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,077 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,078 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,078 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,079 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,080 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,081 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,082 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,082 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,083 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,084 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,085 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,085 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,086 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,087 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_42.csv +2026-04-10 02:25:35,088 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_42.csv +2026-04-10 02:25:35,088 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_42.csv +2026-04-10 02:25:35,099 - INFO - Removed old checkpoint: checkpoint_epoch_41.pt +2026-04-10 02:25:35,100 - INFO - Epoch 43/50, Learning Rate: 0.000003 +2026-04-10 02:49:38,898 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 02:49:38,975 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:49:39,038 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 02:49:39,104 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 02:49:39,176 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 02:49:39,240 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 02:49:41,630 - INFO - Epoch 43/50: +2026-04-10 02:49:41,630 - INFO - Train: loss=0.5960, accuracy_overall=0.9651 +2026-04-10 02:49:41,630 - INFO - Horizon 0.0s: accuracy=0.9676 +2026-04-10 02:49:41,630 - INFO - Horizon 0.1s: accuracy=0.9706 +2026-04-10 02:49:41,630 - INFO - Horizon 0.2s: accuracy=0.9702 +2026-04-10 02:49:41,630 - INFO - Horizon 0.3s: accuracy=0.9688 +2026-04-10 02:49:41,631 - INFO - Horizon 0.5s: accuracy=0.9650 +2026-04-10 02:49:41,631 - INFO - Horizon 1.0s: accuracy=0.9485 +2026-04-10 02:49:41,631 - INFO - Val Horizon 0.0s - Overall: loss=0.6980, accuracy=0.9322 +2026-04-10 02:49:41,631 - INFO - Horizon 0.0s - Overall F1: 0.9335, Precision: 0.9305, Recall: 0.9376 +2026-04-10 02:49:41,631 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 02:49:41,631 - INFO - Macro F1: 0.9335 +2026-04-10 02:49:41,631 - INFO - Weighted F1: 0.9321 +2026-04-10 02:49:41,631 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9721 +2026-04-10 02:49:41,631 - INFO - Horizon 0.0s - Steady F1: 0.9721, Precision: 0.9693, Recall: 0.9757 +2026-04-10 02:49:41,631 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 02:49:41,632 - INFO - Macro F1: 0.9721 +2026-04-10 02:49:41,632 - INFO - Weighted F1: 0.9721 +2026-04-10 02:49:41,632 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7479 +2026-04-10 02:49:41,632 - INFO - Horizon 0.0s - Transition F1: 0.7306, Precision: 0.7242, Recall: 0.7401 +2026-04-10 02:49:41,632 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 02:49:41,632 - INFO - Macro F1: 0.7306 +2026-04-10 02:49:41,632 - INFO - Weighted F1: 0.7490 +2026-04-10 02:49:41,632 - INFO - +2026-04-10 02:49:41,632 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9298 +2026-04-10 02:49:41,632 - INFO - Horizon 0.1s - Overall F1: 0.9308, Precision: 0.9245, Recall: 0.9387 +2026-04-10 02:49:41,632 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 02:49:41,632 - INFO - Macro F1: 0.9308 +2026-04-10 02:49:41,632 - INFO - Weighted F1: 0.9298 +2026-04-10 02:49:41,632 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9726 +2026-04-10 02:49:41,633 - INFO - Horizon 0.1s - Steady F1: 0.9731, Precision: 0.9675, Recall: 0.9797 +2026-04-10 02:49:41,633 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 02:49:41,633 - INFO - Macro F1: 0.9731 +2026-04-10 02:49:41,633 - INFO - Weighted F1: 0.9727 +2026-04-10 02:49:41,633 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7352 +2026-04-10 02:49:41,633 - INFO - Horizon 0.1s - Transition F1: 0.7111, Precision: 0.6977, Recall: 0.7317 +2026-04-10 02:49:41,633 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 02:49:41,633 - INFO - Macro F1: 0.7111 +2026-04-10 02:49:41,633 - INFO - Weighted F1: 0.7357 +2026-04-10 02:49:41,633 - INFO - +2026-04-10 02:49:41,633 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9284 +2026-04-10 02:49:41,633 - INFO - Horizon 0.2s - Overall F1: 0.9292, Precision: 0.9240, Recall: 0.9360 +2026-04-10 02:49:41,633 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 02:49:41,633 - INFO - Macro F1: 0.9292 +2026-04-10 02:49:41,633 - INFO - Weighted F1: 0.9284 +2026-04-10 02:49:41,633 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9705 +2026-04-10 02:49:41,633 - INFO - Horizon 0.2s - Steady F1: 0.9696, Precision: 0.9630, Recall: 0.9774 +2026-04-10 02:49:41,633 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 02:49:41,633 - INFO - Macro F1: 0.9696 +2026-04-10 02:49:41,633 - INFO - Weighted F1: 0.9706 +2026-04-10 02:49:41,633 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7323 +2026-04-10 02:49:41,633 - INFO - Horizon 0.2s - Transition F1: 0.7272, Precision: 0.7195, Recall: 0.7424 +2026-04-10 02:49:41,634 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 02:49:41,634 - INFO - Macro F1: 0.7272 +2026-04-10 02:49:41,634 - INFO - Weighted F1: 0.7336 +2026-04-10 02:49:41,634 - INFO - +2026-04-10 02:49:41,634 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9244 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Overall F1: 0.9265, Precision: 0.9207, Recall: 0.9338 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 02:49:41,634 - INFO - Macro F1: 0.9265 +2026-04-10 02:49:41,634 - INFO - Weighted F1: 0.9244 +2026-04-10 02:49:41,634 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9673 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Steady F1: 0.9657, Precision: 0.9594, Recall: 0.9732 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 02:49:41,634 - INFO - Macro F1: 0.9657 +2026-04-10 02:49:41,634 - INFO - Weighted F1: 0.9674 +2026-04-10 02:49:41,634 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7295 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Transition F1: 0.7255, Precision: 0.7173, Recall: 0.7403 +2026-04-10 02:49:41,634 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 02:49:41,634 - INFO - Macro F1: 0.7255 +2026-04-10 02:49:41,634 - INFO - Weighted F1: 0.7302 +2026-04-10 02:49:41,634 - INFO - +2026-04-10 02:49:41,635 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9149 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Overall F1: 0.9166, Precision: 0.9143, Recall: 0.9206 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 02:49:41,635 - INFO - Macro F1: 0.9166 +2026-04-10 02:49:41,635 - INFO - Weighted F1: 0.9147 +2026-04-10 02:49:41,635 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9619 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Steady F1: 0.9595, Precision: 0.9546, Recall: 0.9658 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 02:49:41,635 - INFO - Macro F1: 0.9595 +2026-04-10 02:49:41,635 - INFO - Weighted F1: 0.9620 +2026-04-10 02:49:41,635 - INFO - Val Horizon 0.5s - Transition: accuracy=0.6970 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Transition F1: 0.7008, Precision: 0.7061, Recall: 0.7020 +2026-04-10 02:49:41,635 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 02:49:41,635 - INFO - Macro F1: 0.7008 +2026-04-10 02:49:41,635 - INFO - Weighted F1: 0.6988 +2026-04-10 02:49:41,635 - INFO - +2026-04-10 02:49:41,635 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8902 +2026-04-10 02:49:41,635 - INFO - Horizon 1.0s - Overall F1: 0.8934, Precision: 0.8938, Recall: 0.8949 +2026-04-10 02:49:41,635 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 02:49:41,636 - INFO - Macro F1: 0.8934 +2026-04-10 02:49:41,636 - INFO - Weighted F1: 0.8896 +2026-04-10 02:49:41,636 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9416 +2026-04-10 02:49:41,636 - INFO - Horizon 1.0s - Steady F1: 0.9343, Precision: 0.9270, Recall: 0.9437 +2026-04-10 02:49:41,636 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 02:49:41,636 - INFO - Macro F1: 0.9343 +2026-04-10 02:49:41,636 - INFO - Weighted F1: 0.9415 +2026-04-10 02:49:41,636 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6474 +2026-04-10 02:49:41,636 - INFO - Horizon 1.0s - Transition F1: 0.6422, Precision: 0.6888, Recall: 0.6205 +2026-04-10 02:49:41,636 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 02:49:41,636 - INFO - Macro F1: 0.6422 +2026-04-10 02:49:41,636 - INFO - Weighted F1: 0.6486 +2026-04-10 02:49:42,718 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_43.pt +2026-04-10 02:49:42,721 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,722 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,723 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,724 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,725 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,725 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,726 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,727 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,728 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,729 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,730 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,731 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,732 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,733 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,733 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,735 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_43.csv +2026-04-10 02:49:42,736 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_43.csv +2026-04-10 02:49:42,737 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_43.csv +2026-04-10 02:49:42,753 - INFO - Removed old checkpoint: checkpoint_epoch_42.pt +2026-04-10 02:49:42,755 - INFO - Epoch 44/50, Learning Rate: 0.000002 +2026-04-10 03:14:06,776 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 03:14:06,853 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 03:14:06,921 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 03:14:06,984 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 03:14:07,049 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 03:14:07,108 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 03:14:09,541 - INFO - Epoch 44/50: +2026-04-10 03:14:09,542 - INFO - Train: loss=0.5916, accuracy_overall=0.9678 +2026-04-10 03:14:09,542 - INFO - Horizon 0.0s: accuracy=0.9718 +2026-04-10 03:14:09,542 - INFO - Horizon 0.1s: accuracy=0.9745 +2026-04-10 03:14:09,542 - INFO - Horizon 0.2s: accuracy=0.9733 +2026-04-10 03:14:09,542 - INFO - Horizon 0.3s: accuracy=0.9754 +2026-04-10 03:14:09,542 - INFO - Horizon 0.5s: accuracy=0.9592 +2026-04-10 03:14:09,542 - INFO - Horizon 1.0s: accuracy=0.9525 +2026-04-10 03:14:09,542 - INFO - Val Horizon 0.0s - Overall: loss=0.6928, accuracy=0.9330 +2026-04-10 03:14:09,542 - INFO - Horizon 0.0s - Overall F1: 0.9340, Precision: 0.9315, Recall: 0.9373 +2026-04-10 03:14:09,542 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 03:14:09,543 - INFO - Macro F1: 0.9340 +2026-04-10 03:14:09,543 - INFO - Weighted F1: 0.9328 +2026-04-10 03:14:09,543 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9739 +2026-04-10 03:14:09,543 - INFO - Horizon 0.0s - Steady F1: 0.9739, Precision: 0.9712, Recall: 0.9773 +2026-04-10 03:14:09,543 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 03:14:09,543 - INFO - Macro F1: 0.9739 +2026-04-10 03:14:09,543 - INFO - Weighted F1: 0.9739 +2026-04-10 03:14:09,543 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7441 +2026-04-10 03:14:09,543 - INFO - Horizon 0.0s - Transition F1: 0.7323, Precision: 0.7239, Recall: 0.7435 +2026-04-10 03:14:09,543 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 03:14:09,543 - INFO - Macro F1: 0.7323 +2026-04-10 03:14:09,543 - INFO - Weighted F1: 0.7447 +2026-04-10 03:14:09,544 - INFO - +2026-04-10 03:14:09,544 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9314 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Overall F1: 0.9323, Precision: 0.9276, Recall: 0.9380 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 03:14:09,544 - INFO - Macro F1: 0.9323 +2026-04-10 03:14:09,544 - INFO - Weighted F1: 0.9314 +2026-04-10 03:14:09,544 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9739 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Steady F1: 0.9744, Precision: 0.9693, Recall: 0.9803 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 03:14:09,544 - INFO - Macro F1: 0.9744 +2026-04-10 03:14:09,544 - INFO - Weighted F1: 0.9741 +2026-04-10 03:14:09,544 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7377 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Transition F1: 0.7097, Precision: 0.7001, Recall: 0.7234 +2026-04-10 03:14:09,544 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 03:14:09,544 - INFO - Macro F1: 0.7097 +2026-04-10 03:14:09,545 - INFO - Weighted F1: 0.7375 +2026-04-10 03:14:09,545 - INFO - +2026-04-10 03:14:09,545 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9287 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Overall F1: 0.9300, Precision: 0.9263, Recall: 0.9349 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 03:14:09,545 - INFO - Macro F1: 0.9300 +2026-04-10 03:14:09,545 - INFO - Weighted F1: 0.9287 +2026-04-10 03:14:09,545 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9717 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Steady F1: 0.9714, Precision: 0.9662, Recall: 0.9777 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 03:14:09,545 - INFO - Macro F1: 0.9714 +2026-04-10 03:14:09,545 - INFO - Weighted F1: 0.9719 +2026-04-10 03:14:09,545 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7284 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Transition F1: 0.7268, Precision: 0.7182, Recall: 0.7413 +2026-04-10 03:14:09,545 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 03:14:09,545 - INFO - Macro F1: 0.7268 +2026-04-10 03:14:09,545 - INFO - Weighted F1: 0.7292 +2026-04-10 03:14:09,545 - INFO - +2026-04-10 03:14:09,545 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9258 +2026-04-10 03:14:09,545 - INFO - Horizon 0.3s - Overall F1: 0.9281, Precision: 0.9238, Recall: 0.9336 +2026-04-10 03:14:09,545 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 03:14:09,545 - INFO - Macro F1: 0.9281 +2026-04-10 03:14:09,546 - INFO - Weighted F1: 0.9258 +2026-04-10 03:14:09,546 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9681 +2026-04-10 03:14:09,546 - INFO - Horizon 0.3s - Steady F1: 0.9669, Precision: 0.9625, Recall: 0.9723 +2026-04-10 03:14:09,546 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 03:14:09,546 - INFO - Macro F1: 0.9669 +2026-04-10 03:14:09,546 - INFO - Weighted F1: 0.9682 +2026-04-10 03:14:09,546 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7333 +2026-04-10 03:14:09,546 - INFO - Horizon 0.3s - Transition F1: 0.7283, Precision: 0.7178, Recall: 0.7432 +2026-04-10 03:14:09,546 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 03:14:09,546 - INFO - Macro F1: 0.7283 +2026-04-10 03:14:09,546 - INFO - Weighted F1: 0.7331 +2026-04-10 03:14:09,546 - INFO - +2026-04-10 03:14:09,546 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9187 +2026-04-10 03:14:09,546 - INFO - Horizon 0.5s - Overall F1: 0.9214, Precision: 0.9216, Recall: 0.9223 +2026-04-10 03:14:09,546 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 03:14:09,546 - INFO - Macro F1: 0.9214 +2026-04-10 03:14:09,546 - INFO - Weighted F1: 0.9187 +2026-04-10 03:14:09,546 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9628 +2026-04-10 03:14:09,546 - INFO - Horizon 0.5s - Steady F1: 0.9603, Precision: 0.9572, Recall: 0.9643 +2026-04-10 03:14:09,546 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 03:14:09,546 - INFO - Macro F1: 0.9603 +2026-04-10 03:14:09,546 - INFO - Weighted F1: 0.9630 +2026-04-10 03:14:09,546 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7143 +2026-04-10 03:14:09,547 - INFO - Horizon 0.5s - Transition F1: 0.7154, Precision: 0.7294, Recall: 0.7085 +2026-04-10 03:14:09,547 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 03:14:09,547 - INFO - Macro F1: 0.7154 +2026-04-10 03:14:09,547 - INFO - Weighted F1: 0.7143 +2026-04-10 03:14:09,547 - INFO - +2026-04-10 03:14:09,547 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8922 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Overall F1: 0.8957, Precision: 0.9019, Recall: 0.8909 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 03:14:09,547 - INFO - Macro F1: 0.8957 +2026-04-10 03:14:09,547 - INFO - Weighted F1: 0.8913 +2026-04-10 03:14:09,547 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9449 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Steady F1: 0.9368, Precision: 0.9346, Recall: 0.9401 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 03:14:09,547 - INFO - Macro F1: 0.9368 +2026-04-10 03:14:09,547 - INFO - Weighted F1: 0.9448 +2026-04-10 03:14:09,547 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6428 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Transition F1: 0.6452, Precision: 0.6970, Recall: 0.6143 +2026-04-10 03:14:09,547 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 03:14:09,547 - INFO - Macro F1: 0.6452 +2026-04-10 03:14:09,547 - INFO - Weighted F1: 0.6436 +2026-04-10 03:14:10,598 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_44.pt +2026-04-10 03:14:10,599 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,600 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-10 03:14:10,601 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-10 03:14:10,602 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_44.csv +2026-04-10 03:14:10,602 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-10 03:14:10,603 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-10 03:14:10,604 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_44.csv +2026-04-10 03:14:10,604 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-10 03:14:10,605 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-10 03:14:10,606 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,607 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-10 03:14:10,607 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-10 03:14:10,608 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_44.csv +2026-04-10 03:14:10,609 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-10 03:14:10,610 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-10 03:14:10,611 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_44.csv +2026-04-10 03:14:10,611 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-10 03:14:10,612 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-10 03:14:10,613 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,614 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics.csv +2026-04-10 03:14:10,615 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-10 03:14:10,616 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_44.csv +2026-04-10 03:14:10,617 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-10 03:14:10,617 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-10 03:14:10,618 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_44.csv +2026-04-10 03:14:10,619 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-10 03:14:10,620 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-10 03:14:10,621 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,621 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics.csv +2026-04-10 03:14:10,622 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-10 03:14:10,623 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_44.csv +2026-04-10 03:14:10,624 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-10 03:14:10,624 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-10 03:14:10,625 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_44.csv +2026-04-10 03:14:10,626 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-10 03:14:10,627 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-10 03:14:10,628 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,629 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics.csv +2026-04-10 03:14:10,630 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-10 03:14:10,631 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_44.csv +2026-04-10 03:14:10,632 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-10 03:14:10,633 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-10 03:14:10,634 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_44.csv +2026-04-10 03:14:10,634 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-10 03:14:10,635 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-10 03:14:10,636 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_44.csv +2026-04-10 03:14:10,637 - INFO - Saved best overall 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+2026-04-10 03:14:10,666 - INFO - Removed old checkpoint: checkpoint_epoch_43.pt +2026-04-10 03:14:11,751 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-10 03:14:11,769 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-10 03:14:11,928 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-10 03:14:11,930 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-10 03:14:11,931 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-10 03:14:11,933 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-10 03:14:11,934 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-10 03:14:11,935 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-10 03:14:11,937 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-10 03:14:11,937 - INFO - Epoch 45/50, Learning Rate: 0.000002 +2026-04-10 03:38:48,505 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 03:38:48,584 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 03:38:48,654 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 03:38:48,714 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 03:38:48,782 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 03:38:48,856 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 03:38:51,256 - INFO - Epoch 45/50: +2026-04-10 03:38:51,257 - INFO - Train: loss=0.5936, accuracy_overall=0.9658 +2026-04-10 03:38:51,257 - INFO - Horizon 0.0s: accuracy=0.9734 +2026-04-10 03:38:51,257 - INFO - Horizon 0.1s: accuracy=0.9721 +2026-04-10 03:38:51,257 - INFO - Horizon 0.2s: accuracy=0.9682 +2026-04-10 03:38:51,257 - INFO - Horizon 0.3s: accuracy=0.9663 +2026-04-10 03:38:51,257 - INFO - Horizon 0.5s: accuracy=0.9637 +2026-04-10 03:38:51,257 - INFO - Horizon 1.0s: accuracy=0.9510 +2026-04-10 03:38:51,257 - INFO - Val Horizon 0.0s - Overall: loss=0.6921, accuracy=0.9326 +2026-04-10 03:38:51,257 - INFO - Horizon 0.0s - Overall F1: 0.9338, Precision: 0.9312, Recall: 0.9374 +2026-04-10 03:38:51,257 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 03:38:51,257 - INFO - Macro F1: 0.9338 +2026-04-10 03:38:51,257 - INFO - Weighted F1: 0.9325 +2026-04-10 03:38:51,258 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9728 +2026-04-10 03:38:51,258 - INFO - Horizon 0.0s - Steady F1: 0.9726, Precision: 0.9698, Recall: 0.9761 +2026-04-10 03:38:51,258 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 03:38:51,258 - INFO - Macro F1: 0.9726 +2026-04-10 03:38:51,258 - INFO - Weighted F1: 0.9728 +2026-04-10 03:38:51,258 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7473 +2026-04-10 03:38:51,258 - INFO - Horizon 0.0s - Transition F1: 0.7293, Precision: 0.7223, Recall: 0.7394 +2026-04-10 03:38:51,258 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 03:38:51,259 - INFO - Macro F1: 0.7293 +2026-04-10 03:38:51,259 - INFO - Weighted F1: 0.7486 +2026-04-10 03:38:51,259 - INFO - +2026-04-10 03:38:51,259 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9328 +2026-04-10 03:38:51,259 - INFO - Horizon 0.1s - Overall F1: 0.9340, Precision: 0.9283, Recall: 0.9410 +2026-04-10 03:38:51,259 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 03:38:51,259 - INFO - Macro F1: 0.9340 +2026-04-10 03:38:51,259 - INFO - Weighted F1: 0.9329 +2026-04-10 03:38:51,259 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9738 +2026-04-10 03:38:51,259 - INFO - Horizon 0.1s - Steady F1: 0.9746, Precision: 0.9690, Recall: 0.9811 +2026-04-10 03:38:51,259 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 03:38:51,260 - INFO - Macro F1: 0.9746 +2026-04-10 03:38:51,260 - INFO - Weighted F1: 0.9739 +2026-04-10 03:38:51,260 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7465 +2026-04-10 03:38:51,260 - INFO - Horizon 0.1s - Transition F1: 0.7190, Precision: 0.7082, Recall: 0.7367 +2026-04-10 03:38:51,260 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 03:38:51,260 - INFO - Macro F1: 0.7190 +2026-04-10 03:38:51,260 - INFO - Weighted F1: 0.7469 +2026-04-10 03:38:51,260 - INFO - +2026-04-10 03:38:51,260 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9300 +2026-04-10 03:38:51,260 - INFO - Horizon 0.2s - Overall F1: 0.9314, Precision: 0.9274, Recall: 0.9368 +2026-04-10 03:38:51,260 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 03:38:51,260 - INFO - Macro F1: 0.9314 +2026-04-10 03:38:51,260 - INFO - Weighted F1: 0.9301 +2026-04-10 03:38:51,260 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9707 +2026-04-10 03:38:51,260 - INFO - Horizon 0.2s - Steady F1: 0.9707, Precision: 0.9645, Recall: 0.9779 +2026-04-10 03:38:51,260 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 03:38:51,260 - INFO - Macro F1: 0.9707 +2026-04-10 03:38:51,260 - INFO - Weighted F1: 0.9709 +2026-04-10 03:38:51,260 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7400 +2026-04-10 03:38:51,260 - INFO - Horizon 0.2s - Transition F1: 0.7352, Precision: 0.7328, Recall: 0.7434 +2026-04-10 03:38:51,261 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 03:38:51,261 - INFO - Macro F1: 0.7352 +2026-04-10 03:38:51,261 - INFO - Weighted F1: 0.7408 +2026-04-10 03:38:51,261 - INFO - +2026-04-10 03:38:51,261 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9245 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Overall F1: 0.9268, Precision: 0.9228, Recall: 0.9321 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 03:38:51,261 - INFO - Macro F1: 0.9268 +2026-04-10 03:38:51,261 - INFO - Weighted F1: 0.9247 +2026-04-10 03:38:51,261 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9671 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Steady F1: 0.9663, Precision: 0.9604, Recall: 0.9732 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 03:38:51,261 - INFO - Macro F1: 0.9663 +2026-04-10 03:38:51,261 - INFO - Weighted F1: 0.9673 +2026-04-10 03:38:51,261 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7308 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Transition F1: 0.7154, Precision: 0.7194, Recall: 0.7185 +2026-04-10 03:38:51,261 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 03:38:51,261 - INFO - Macro F1: 0.7154 +2026-04-10 03:38:51,261 - INFO - Weighted F1: 0.7304 +2026-04-10 03:38:51,261 - INFO - +2026-04-10 03:38:51,261 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9174 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Overall F1: 0.9204, Precision: 0.9193, Recall: 0.9227 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 03:38:51,262 - INFO - Macro F1: 0.9204 +2026-04-10 03:38:51,262 - INFO - Weighted F1: 0.9174 +2026-04-10 03:38:51,262 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9615 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Steady F1: 0.9590, Precision: 0.9544, Recall: 0.9647 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 03:38:51,262 - INFO - Macro F1: 0.9590 +2026-04-10 03:38:51,262 - INFO - Weighted F1: 0.9616 +2026-04-10 03:38:51,262 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7130 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Transition F1: 0.7074, Precision: 0.7254, Recall: 0.6989 +2026-04-10 03:38:51,262 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 03:38:51,262 - INFO - Macro F1: 0.7074 +2026-04-10 03:38:51,262 - INFO - Weighted F1: 0.7135 +2026-04-10 03:38:51,262 - INFO - +2026-04-10 03:38:51,262 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8931 +2026-04-10 03:38:51,262 - INFO - Horizon 1.0s - Overall F1: 0.8969, Precision: 0.8997, Recall: 0.8950 +2026-04-10 03:38:51,262 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 03:38:51,262 - INFO - Macro F1: 0.8969 +2026-04-10 03:38:51,262 - INFO - Weighted F1: 0.8928 +2026-04-10 03:38:51,262 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9435 +2026-04-10 03:38:51,262 - INFO - Horizon 1.0s - Steady F1: 0.9373, Precision: 0.9307, Recall: 0.9449 +2026-04-10 03:38:51,262 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 03:38:51,263 - INFO - Macro F1: 0.9373 +2026-04-10 03:38:51,263 - INFO - Weighted F1: 0.9437 +2026-04-10 03:38:51,263 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6545 +2026-04-10 03:38:51,263 - INFO - Horizon 1.0s - Transition F1: 0.6451, Precision: 0.7010, Recall: 0.6097 +2026-04-10 03:38:51,263 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 03:38:51,263 - INFO - Macro F1: 0.6451 +2026-04-10 03:38:51,263 - INFO - Weighted F1: 0.6555 +2026-04-10 03:38:52,485 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_45.pt +2026-04-10 03:38:52,487 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,487 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,488 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,489 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,490 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,490 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,491 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,492 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,493 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,494 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,494 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,495 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,496 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,497 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,497 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,498 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_45.csv +2026-04-10 03:38:52,499 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_45.csv +2026-04-10 03:38:52,500 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_45.csv +2026-04-10 03:38:52,511 - INFO - Removed old checkpoint: checkpoint_epoch_44.pt +2026-04-10 03:38:52,513 - INFO - Epoch 46/50, Learning Rate: 0.000001 +2026-04-10 04:02:54,912 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 04:02:54,972 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:02:55,027 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 04:02:55,081 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:02:55,135 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 04:02:55,190 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 04:02:56,940 - INFO - Epoch 46/50: +2026-04-10 04:02:56,940 - INFO - Train: loss=0.5904, accuracy_overall=0.9675 +2026-04-10 04:02:56,940 - INFO - Horizon 0.0s: accuracy=0.9733 +2026-04-10 04:02:56,940 - INFO - Horizon 0.1s: accuracy=0.9742 +2026-04-10 04:02:56,941 - INFO - Horizon 0.2s: accuracy=0.9752 +2026-04-10 04:02:56,941 - INFO - Horizon 0.3s: accuracy=0.9687 +2026-04-10 04:02:56,941 - INFO - Horizon 0.5s: accuracy=0.9614 +2026-04-10 04:02:56,941 - INFO - Horizon 1.0s: accuracy=0.9520 +2026-04-10 04:02:56,941 - INFO - Val Horizon 0.0s - Overall: loss=0.6929, accuracy=0.9331 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Overall F1: 0.9337, Precision: 0.9296, Recall: 0.9389 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 04:02:56,941 - INFO - Macro F1: 0.9337 +2026-04-10 04:02:56,941 - INFO - Weighted F1: 0.9330 +2026-04-10 04:02:56,941 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9729 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Steady F1: 0.9731, Precision: 0.9696, Recall: 0.9774 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 04:02:56,941 - INFO - Macro F1: 0.9731 +2026-04-10 04:02:56,941 - INFO - Weighted F1: 0.9730 +2026-04-10 04:02:56,941 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7492 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Transition F1: 0.7298, Precision: 0.7163, Recall: 0.7472 +2026-04-10 04:02:56,941 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 04:02:56,941 - INFO - Macro F1: 0.7298 +2026-04-10 04:02:56,941 - INFO - Weighted F1: 0.7508 +2026-04-10 04:02:56,941 - INFO - +2026-04-10 04:02:56,941 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9335 +2026-04-10 04:02:56,941 - INFO - Horizon 0.1s - Overall F1: 0.9344, Precision: 0.9274, Recall: 0.9426 +2026-04-10 04:02:56,942 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 04:02:56,942 - INFO - Macro F1: 0.9344 +2026-04-10 04:02:56,942 - INFO - Weighted F1: 0.9335 +2026-04-10 04:02:56,942 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9737 +2026-04-10 04:02:56,942 - INFO - Horizon 0.1s - Steady F1: 0.9747, Precision: 0.9690, Recall: 0.9814 +2026-04-10 04:02:56,942 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 04:02:56,942 - INFO - Macro F1: 0.9747 +2026-04-10 04:02:56,942 - INFO - Weighted F1: 0.9738 +2026-04-10 04:02:56,942 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7509 +2026-04-10 04:02:56,942 - INFO - Horizon 0.1s - Transition F1: 0.7238, Precision: 0.7039, Recall: 0.7500 +2026-04-10 04:02:56,942 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 04:02:56,942 - INFO - Macro F1: 0.7238 +2026-04-10 04:02:56,942 - INFO - Weighted F1: 0.7515 +2026-04-10 04:02:56,942 - INFO - +2026-04-10 04:02:56,942 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9292 +2026-04-10 04:02:56,942 - INFO - Horizon 0.2s - Overall F1: 0.9304, Precision: 0.9256, Recall: 0.9366 +2026-04-10 04:02:56,942 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 04:02:56,942 - INFO - Macro F1: 0.9304 +2026-04-10 04:02:56,942 - INFO - Weighted F1: 0.9292 +2026-04-10 04:02:56,942 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9703 +2026-04-10 04:02:56,942 - INFO - Horizon 0.2s - Steady F1: 0.9704, Precision: 0.9644, Recall: 0.9774 +2026-04-10 04:02:56,942 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 04:02:56,942 - INFO - Macro F1: 0.9704 +2026-04-10 04:02:56,942 - INFO - Weighted F1: 0.9705 +2026-04-10 04:02:56,942 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7375 +2026-04-10 04:02:56,943 - INFO - Horizon 0.2s - Transition F1: 0.7356, Precision: 0.7266, Recall: 0.7519 +2026-04-10 04:02:56,943 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 04:02:56,943 - INFO - Macro F1: 0.7356 +2026-04-10 04:02:56,943 - INFO - Weighted F1: 0.7385 +2026-04-10 04:02:56,943 - INFO - +2026-04-10 04:02:56,943 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9252 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Overall F1: 0.9277, Precision: 0.9220, Recall: 0.9347 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 04:02:56,943 - INFO - Macro F1: 0.9277 +2026-04-10 04:02:56,943 - INFO - Weighted F1: 0.9252 +2026-04-10 04:02:56,943 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9674 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Steady F1: 0.9672, Precision: 0.9617, Recall: 0.9736 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 04:02:56,943 - INFO - Macro F1: 0.9672 +2026-04-10 04:02:56,943 - INFO - Weighted F1: 0.9675 +2026-04-10 04:02:56,943 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7333 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Transition F1: 0.7218, Precision: 0.7101, Recall: 0.7403 +2026-04-10 04:02:56,943 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 04:02:56,943 - INFO - Macro F1: 0.7218 +2026-04-10 04:02:56,943 - INFO - Weighted F1: 0.7335 +2026-04-10 04:02:56,943 - INFO - +2026-04-10 04:02:56,943 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9172 +2026-04-10 04:02:56,943 - INFO - Horizon 0.5s - Overall F1: 0.9203, Precision: 0.9188, Recall: 0.9230 +2026-04-10 04:02:56,944 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 04:02:56,944 - INFO - Macro F1: 0.9203 +2026-04-10 04:02:56,944 - INFO - Weighted F1: 0.9170 +2026-04-10 04:02:56,944 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9624 +2026-04-10 04:02:56,944 - INFO - Horizon 0.5s - Steady F1: 0.9602, Precision: 0.9552, Recall: 0.9663 +2026-04-10 04:02:56,944 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 04:02:56,944 - INFO - Macro F1: 0.9602 +2026-04-10 04:02:56,944 - INFO - Weighted F1: 0.9626 +2026-04-10 04:02:56,944 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7072 +2026-04-10 04:02:56,944 - INFO - Horizon 0.5s - Transition F1: 0.7110, Precision: 0.7213, Recall: 0.7077 +2026-04-10 04:02:56,944 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 04:02:56,944 - INFO - Macro F1: 0.7110 +2026-04-10 04:02:56,944 - INFO - Weighted F1: 0.7082 +2026-04-10 04:02:56,944 - INFO - +2026-04-10 04:02:56,944 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8934 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Overall F1: 0.8959, Precision: 0.8962, Recall: 0.8963 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 04:02:56,944 - INFO - Macro F1: 0.8959 +2026-04-10 04:02:56,944 - INFO - Weighted F1: 0.8931 +2026-04-10 04:02:56,944 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9438 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Steady F1: 0.9370, Precision: 0.9298, Recall: 0.9450 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 04:02:56,944 - INFO - Macro F1: 0.9370 +2026-04-10 04:02:56,944 - INFO - Weighted F1: 0.9439 +2026-04-10 04:02:56,944 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6552 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Transition F1: 0.6365, Precision: 0.6774, Recall: 0.6153 +2026-04-10 04:02:56,944 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 04:02:56,945 - INFO - Macro F1: 0.6365 +2026-04-10 04:02:56,945 - INFO - Weighted F1: 0.6558 +2026-04-10 04:02:57,660 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_46.pt +2026-04-10 04:02:57,661 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_46.csv +2026-04-10 04:02:57,662 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-10 04:02:57,663 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-10 04:02:57,663 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_46.csv +2026-04-10 04:02:57,664 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-10 04:02:57,665 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-10 04:02:57,665 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_46.csv +2026-04-10 04:02:57,666 - INFO - Saved 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04:02:57,700 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-10 04:02:57,725 - INFO - Removed old checkpoint: checkpoint_epoch_45.pt +2026-04-10 04:02:58,466 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-10 04:02:58,480 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-10 04:02:58,618 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-10 04:02:58,620 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-10 04:02:58,621 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-10 04:02:58,622 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-10 04:02:58,623 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-10 04:02:58,624 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-10 04:02:58,625 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-10 04:02:58,625 - INFO - Epoch 47/50, Learning Rate: 0.000001 +2026-04-10 04:24:50,005 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 04:24:50,074 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:24:50,132 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 04:24:50,191 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:24:50,250 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 04:24:50,311 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 04:24:52,259 - INFO - Epoch 47/50: +2026-04-10 04:24:52,259 - INFO - Train: loss=0.5877, accuracy_overall=0.9689 +2026-04-10 04:24:52,259 - INFO - Horizon 0.0s: accuracy=0.9720 +2026-04-10 04:24:52,259 - INFO - Horizon 0.1s: accuracy=0.9747 +2026-04-10 04:24:52,259 - INFO - Horizon 0.2s: accuracy=0.9736 +2026-04-10 04:24:52,259 - INFO - Horizon 0.3s: accuracy=0.9719 +2026-04-10 04:24:52,259 - INFO - Horizon 0.5s: accuracy=0.9697 +2026-04-10 04:24:52,259 - INFO - Horizon 1.0s: accuracy=0.9516 +2026-04-10 04:24:52,259 - INFO - Val Horizon 0.0s - Overall: loss=0.6920, accuracy=0.9316 +2026-04-10 04:24:52,259 - INFO - Horizon 0.0s - Overall F1: 0.9332, Precision: 0.9284, Recall: 0.9390 +2026-04-10 04:24:52,260 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 04:24:52,260 - INFO - Macro F1: 0.9332 +2026-04-10 04:24:52,260 - INFO - Weighted F1: 0.9315 +2026-04-10 04:24:52,260 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9725 +2026-04-10 04:24:52,260 - INFO - Horizon 0.0s - Steady F1: 0.9729, Precision: 0.9688, Recall: 0.9776 +2026-04-10 04:24:52,260 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 04:24:52,260 - INFO - Macro F1: 0.9729 +2026-04-10 04:24:52,260 - INFO - Weighted F1: 0.9726 +2026-04-10 04:24:52,260 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7428 +2026-04-10 04:24:52,260 - INFO - Horizon 0.0s - Transition F1: 0.7300, Precision: 0.7175, Recall: 0.7477 +2026-04-10 04:24:52,260 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 04:24:52,260 - INFO - Macro F1: 0.7300 +2026-04-10 04:24:52,260 - INFO - Weighted F1: 0.7437 +2026-04-10 04:24:52,260 - INFO - +2026-04-10 04:24:52,260 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9331 +2026-04-10 04:24:52,260 - INFO - Horizon 0.1s - Overall F1: 0.9340, Precision: 0.9265, Recall: 0.9427 +2026-04-10 04:24:52,260 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 04:24:52,260 - INFO - Macro F1: 0.9340 +2026-04-10 04:24:52,260 - INFO - Weighted F1: 0.9331 +2026-04-10 04:24:52,260 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9737 +2026-04-10 04:24:52,260 - INFO - Horizon 0.1s - Steady F1: 0.9743, Precision: 0.9683, Recall: 0.9811 +2026-04-10 04:24:52,260 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 04:24:52,260 - INFO - Macro F1: 0.9743 +2026-04-10 04:24:52,261 - INFO - Weighted F1: 0.9738 +2026-04-10 04:24:52,261 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7484 +2026-04-10 04:24:52,261 - INFO - Horizon 0.1s - Transition F1: 0.7216, Precision: 0.7032, Recall: 0.7476 +2026-04-10 04:24:52,261 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 04:24:52,261 - INFO - Macro F1: 0.7216 +2026-04-10 04:24:52,261 - INFO - Weighted F1: 0.7483 +2026-04-10 04:24:52,261 - INFO - +2026-04-10 04:24:52,261 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9298 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Overall F1: 0.9310, Precision: 0.9252, Recall: 0.9382 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 04:24:52,261 - INFO - Macro F1: 0.9310 +2026-04-10 04:24:52,261 - INFO - Weighted F1: 0.9297 +2026-04-10 04:24:52,261 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9712 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Steady F1: 0.9710, Precision: 0.9646, Recall: 0.9785 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 04:24:52,261 - INFO - Macro F1: 0.9710 +2026-04-10 04:24:52,261 - INFO - Weighted F1: 0.9713 +2026-04-10 04:24:52,261 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7368 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Transition F1: 0.7332, Precision: 0.7196, Recall: 0.7564 +2026-04-10 04:24:52,261 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 04:24:52,261 - INFO - Macro F1: 0.7332 +2026-04-10 04:24:52,261 - INFO - Weighted F1: 0.7371 +2026-04-10 04:24:52,261 - INFO - +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9256 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Overall F1: 0.9279, Precision: 0.9218, Recall: 0.9352 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 04:24:52,262 - INFO - Macro F1: 0.9279 +2026-04-10 04:24:52,262 - INFO - Weighted F1: 0.9255 +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9673 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Steady F1: 0.9663, Precision: 0.9607, Recall: 0.9729 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 04:24:52,262 - INFO - Macro F1: 0.9663 +2026-04-10 04:24:52,262 - INFO - Weighted F1: 0.9674 +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7358 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Transition F1: 0.7262, Precision: 0.7133, Recall: 0.7466 +2026-04-10 04:24:52,262 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 04:24:52,262 - INFO - Macro F1: 0.7262 +2026-04-10 04:24:52,262 - INFO - Weighted F1: 0.7357 +2026-04-10 04:24:52,262 - INFO - +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9174 +2026-04-10 04:24:52,262 - INFO - Horizon 0.5s - Overall F1: 0.9205, Precision: 0.9184, Recall: 0.9239 +2026-04-10 04:24:52,262 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 04:24:52,262 - INFO - Macro F1: 0.9205 +2026-04-10 04:24:52,262 - INFO - Weighted F1: 0.9172 +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9616 +2026-04-10 04:24:52,262 - INFO - Horizon 0.5s - Steady F1: 0.9596, Precision: 0.9543, Recall: 0.9658 +2026-04-10 04:24:52,262 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 04:24:52,262 - INFO - Macro F1: 0.9596 +2026-04-10 04:24:52,262 - INFO - Weighted F1: 0.9617 +2026-04-10 04:24:52,262 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7124 +2026-04-10 04:24:52,262 - INFO - Horizon 0.5s - Transition F1: 0.7142, Precision: 0.7212, Recall: 0.7168 +2026-04-10 04:24:52,263 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 04:24:52,263 - INFO - Macro F1: 0.7142 +2026-04-10 04:24:52,263 - INFO - Weighted F1: 0.7130 +2026-04-10 04:24:52,263 - INFO - +2026-04-10 04:24:52,263 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8934 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Overall F1: 0.8958, Precision: 0.8965, Recall: 0.8959 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 04:24:52,263 - INFO - Macro F1: 0.8958 +2026-04-10 04:24:52,263 - INFO - Weighted F1: 0.8929 +2026-04-10 04:24:52,263 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9444 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Steady F1: 0.9373, Precision: 0.9305, Recall: 0.9450 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 04:24:52,263 - INFO - Macro F1: 0.9373 +2026-04-10 04:24:52,263 - INFO - Weighted F1: 0.9444 +2026-04-10 04:24:52,263 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6526 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Transition F1: 0.6402, Precision: 0.6820, Recall: 0.6211 +2026-04-10 04:24:52,263 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 04:24:52,263 - INFO - Macro F1: 0.6402 +2026-04-10 04:24:52,263 - INFO - Weighted F1: 0.6533 +2026-04-10 04:24:53,171 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_47.pt +2026-04-10 04:24:53,173 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,174 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,175 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,176 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,176 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,177 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,178 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,179 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,179 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,180 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,181 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,182 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,182 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,183 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,184 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,185 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_47.csv +2026-04-10 04:24:53,185 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_47.csv +2026-04-10 04:24:53,186 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_47.csv +2026-04-10 04:24:53,198 - INFO - Removed old checkpoint: checkpoint_epoch_46.pt +2026-04-10 04:24:53,199 - INFO - Epoch 48/50, Learning Rate: 0.000001 +2026-04-10 04:46:14,787 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 04:46:14,869 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:46:14,927 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 04:46:14,985 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 04:46:15,043 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 04:46:15,100 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 04:46:16,999 - INFO - Epoch 48/50: +2026-04-10 04:46:16,999 - INFO - Train: loss=0.5881, accuracy_overall=0.9693 +2026-04-10 04:46:16,999 - INFO - Horizon 0.0s: accuracy=0.9710 +2026-04-10 04:46:16,999 - INFO - Horizon 0.1s: accuracy=0.9741 +2026-04-10 04:46:16,999 - INFO - Horizon 0.2s: accuracy=0.9749 +2026-04-10 04:46:16,999 - INFO - Horizon 0.3s: accuracy=0.9763 +2026-04-10 04:46:16,999 - INFO - Horizon 0.5s: accuracy=0.9637 +2026-04-10 04:46:16,999 - INFO - Horizon 1.0s: accuracy=0.9557 +2026-04-10 04:46:16,999 - INFO - Val Horizon 0.0s - Overall: loss=0.6888, accuracy=0.9335 +2026-04-10 04:46:16,999 - INFO - Horizon 0.0s - Overall F1: 0.9350, Precision: 0.9305, Recall: 0.9406 +2026-04-10 04:46:16,999 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 04:46:17,000 - INFO - Macro F1: 0.9350 +2026-04-10 04:46:17,000 - INFO - Weighted F1: 0.9334 +2026-04-10 04:46:17,000 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9732 +2026-04-10 04:46:17,000 - INFO - Horizon 0.0s - Steady F1: 0.9734, Precision: 0.9698, Recall: 0.9778 +2026-04-10 04:46:17,000 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 04:46:17,000 - INFO - Macro F1: 0.9734 +2026-04-10 04:46:17,000 - INFO - Weighted F1: 0.9732 +2026-04-10 04:46:17,000 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7505 +2026-04-10 04:46:17,000 - INFO - Horizon 0.0s - Transition F1: 0.7404, Precision: 0.7263, Recall: 0.7579 +2026-04-10 04:46:17,000 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 04:46:17,000 - INFO - Macro F1: 0.7404 +2026-04-10 04:46:17,000 - INFO - Weighted F1: 0.7513 +2026-04-10 04:46:17,000 - INFO - +2026-04-10 04:46:17,000 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9333 +2026-04-10 04:46:17,000 - INFO - Horizon 0.1s - Overall F1: 0.9343, Precision: 0.9279, Recall: 0.9417 +2026-04-10 04:46:17,000 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 04:46:17,000 - INFO - Macro F1: 0.9343 +2026-04-10 04:46:17,000 - INFO - Weighted F1: 0.9333 +2026-04-10 04:46:17,000 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9741 +2026-04-10 04:46:17,000 - INFO - Horizon 0.1s - Steady F1: 0.9750, Precision: 0.9697, Recall: 0.9810 +2026-04-10 04:46:17,000 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 04:46:17,000 - INFO - Macro F1: 0.9750 +2026-04-10 04:46:17,000 - INFO - Weighted F1: 0.9742 +2026-04-10 04:46:17,000 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7478 +2026-04-10 04:46:17,000 - INFO - Horizon 0.1s - Transition F1: 0.7217, Precision: 0.7059, Recall: 0.7439 +2026-04-10 04:46:17,001 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 04:46:17,001 - INFO - Macro F1: 0.7217 +2026-04-10 04:46:17,001 - INFO - Weighted F1: 0.7481 +2026-04-10 04:46:17,001 - INFO - +2026-04-10 04:46:17,001 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9301 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Overall F1: 0.9316, Precision: 0.9270, Recall: 0.9376 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 04:46:17,001 - INFO - Macro F1: 0.9316 +2026-04-10 04:46:17,001 - INFO - Weighted F1: 0.9301 +2026-04-10 04:46:17,001 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9707 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Steady F1: 0.9707, Precision: 0.9648, Recall: 0.9777 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 04:46:17,001 - INFO - Macro F1: 0.9707 +2026-04-10 04:46:17,001 - INFO - Weighted F1: 0.9709 +2026-04-10 04:46:17,001 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7407 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Transition F1: 0.7393, Precision: 0.7313, Recall: 0.7540 +2026-04-10 04:46:17,001 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 04:46:17,001 - INFO - Macro F1: 0.7393 +2026-04-10 04:46:17,001 - INFO - Weighted F1: 0.7411 +2026-04-10 04:46:17,001 - INFO - +2026-04-10 04:46:17,001 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9272 +2026-04-10 04:46:17,001 - INFO - Horizon 0.3s - Overall F1: 0.9296, Precision: 0.9243, Recall: 0.9361 +2026-04-10 04:46:17,001 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 04:46:17,001 - INFO - Macro F1: 0.9296 +2026-04-10 04:46:17,001 - INFO - Weighted F1: 0.9272 +2026-04-10 04:46:17,001 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9683 +2026-04-10 04:46:17,001 - INFO - Horizon 0.3s - Steady F1: 0.9675, Precision: 0.9618, Recall: 0.9740 +2026-04-10 04:46:17,002 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 04:46:17,002 - INFO - Macro F1: 0.9675 +2026-04-10 04:46:17,002 - INFO - Weighted F1: 0.9684 +2026-04-10 04:46:17,002 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7402 +2026-04-10 04:46:17,002 - INFO - Horizon 0.3s - Transition F1: 0.7315, Precision: 0.7216, Recall: 0.7465 +2026-04-10 04:46:17,002 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 04:46:17,002 - INFO - Macro F1: 0.7315 +2026-04-10 04:46:17,002 - INFO - Weighted F1: 0.7401 +2026-04-10 04:46:17,002 - INFO - +2026-04-10 04:46:17,002 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9186 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Overall F1: 0.9219, Precision: 0.9201, Recall: 0.9247 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 04:46:17,002 - INFO - Macro F1: 0.9219 +2026-04-10 04:46:17,002 - INFO - Weighted F1: 0.9186 +2026-04-10 04:46:17,002 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9626 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Steady F1: 0.9603, Precision: 0.9555, Recall: 0.9660 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 04:46:17,002 - INFO - Macro F1: 0.9603 +2026-04-10 04:46:17,002 - INFO - Weighted F1: 0.9627 +2026-04-10 04:46:17,002 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7149 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Transition F1: 0.7158, Precision: 0.7276, Recall: 0.7114 +2026-04-10 04:46:17,002 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 04:46:17,002 - INFO - Macro F1: 0.7158 +2026-04-10 04:46:17,002 - INFO - Weighted F1: 0.7153 +2026-04-10 04:46:17,002 - INFO - +2026-04-10 04:46:17,002 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8927 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Overall F1: 0.8960, Precision: 0.8985, Recall: 0.8945 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 04:46:17,003 - INFO - Macro F1: 0.8960 +2026-04-10 04:46:17,003 - INFO - Weighted F1: 0.8922 +2026-04-10 04:46:17,003 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9438 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Steady F1: 0.9372, Precision: 0.9314, Recall: 0.9438 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 04:46:17,003 - INFO - Macro F1: 0.9372 +2026-04-10 04:46:17,003 - INFO - Weighted F1: 0.9439 +2026-04-10 04:46:17,003 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6513 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Transition F1: 0.6450, Precision: 0.6882, Recall: 0.6223 +2026-04-10 04:46:17,003 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 04:46:17,003 - INFO - Macro F1: 0.6450 +2026-04-10 04:46:17,003 - INFO - Weighted F1: 0.6521 +2026-04-10 04:46:17,959 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_48.pt +2026-04-10 04:46:17,961 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_48.csv +2026-04-10 04:46:17,962 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/best_model_metrics.csv +2026-04-10 04:46:17,963 - INFO - Saved best overall horizon 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04:46:17,971 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics.csv +2026-04-10 04:46:17,972 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-10 04:46:17,973 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_48.csv +2026-04-10 04:46:17,974 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-10 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04:46:18,010 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-10 04:46:18,011 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-10 04:46:18,026 - INFO - Removed old checkpoint: checkpoint_epoch_47.pt +2026-04-10 04:46:18,965 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt +2026-04-10 04:46:18,979 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results +2026-04-10 04:46:19,119 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv +2026-04-10 04:46:19,120 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-10 04:46:19,121 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-10 04:46:19,122 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-10 04:46:19,123 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-10 04:46:19,124 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-10 04:46:19,125 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-10 04:46:19,126 - INFO - Epoch 49/50, Learning Rate: 0.000000 +2026-04-10 05:07:50,322 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 05:07:50,392 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 05:07:50,458 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 05:07:50,523 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 05:07:50,580 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 05:07:50,652 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 05:07:52,707 - INFO - Epoch 49/50: +2026-04-10 05:07:52,707 - INFO - Train: loss=0.5918, accuracy_overall=0.9668 +2026-04-10 05:07:52,707 - INFO - Horizon 0.0s: accuracy=0.9717 +2026-04-10 05:07:52,707 - INFO - Horizon 0.1s: accuracy=0.9742 +2026-04-10 05:07:52,707 - INFO - Horizon 0.2s: accuracy=0.9724 +2026-04-10 05:07:52,707 - INFO - Horizon 0.3s: accuracy=0.9662 +2026-04-10 05:07:52,707 - INFO - Horizon 0.5s: accuracy=0.9667 +2026-04-10 05:07:52,707 - INFO - Horizon 1.0s: accuracy=0.9493 +2026-04-10 05:07:52,708 - INFO - Val Horizon 0.0s - Overall: loss=0.6908, accuracy=0.9328 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Overall F1: 0.9337, Precision: 0.9293, Recall: 0.9389 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 05:07:52,708 - INFO - Macro F1: 0.9337 +2026-04-10 05:07:52,708 - INFO - Weighted F1: 0.9328 +2026-04-10 05:07:52,708 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9732 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Steady F1: 0.9733, Precision: 0.9697, Recall: 0.9776 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 05:07:52,708 - INFO - Macro F1: 0.9733 +2026-04-10 05:07:52,708 - INFO - Weighted F1: 0.9732 +2026-04-10 05:07:52,708 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7466 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Transition F1: 0.7292, Precision: 0.7167, Recall: 0.7450 +2026-04-10 05:07:52,708 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 05:07:52,708 - INFO - Macro F1: 0.7292 +2026-04-10 05:07:52,708 - INFO - Weighted F1: 0.7475 +2026-04-10 05:07:52,708 - INFO - +2026-04-10 05:07:52,708 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9331 +2026-04-10 05:07:52,708 - INFO - Horizon 0.1s - Overall F1: 0.9336, Precision: 0.9274, Recall: 0.9408 +2026-04-10 05:07:52,708 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 05:07:52,708 - INFO - Macro F1: 0.9336 +2026-04-10 05:07:52,708 - INFO - Weighted F1: 0.9331 +2026-04-10 05:07:52,708 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9735 +2026-04-10 05:07:52,708 - INFO - Horizon 0.1s - Steady F1: 0.9742, Precision: 0.9688, Recall: 0.9804 +2026-04-10 05:07:52,709 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 05:07:52,709 - INFO - Macro F1: 0.9742 +2026-04-10 05:07:52,709 - INFO - Weighted F1: 0.9736 +2026-04-10 05:07:52,709 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7491 +2026-04-10 05:07:52,709 - INFO - Horizon 0.1s - Transition F1: 0.7204, Precision: 0.7064, Recall: 0.7393 +2026-04-10 05:07:52,709 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 05:07:52,709 - INFO - Macro F1: 0.7204 +2026-04-10 05:07:52,709 - INFO - Weighted F1: 0.7493 +2026-04-10 05:07:52,709 - INFO - +2026-04-10 05:07:52,709 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9287 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Overall F1: 0.9300, Precision: 0.9254, Recall: 0.9358 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 05:07:52,709 - INFO - Macro F1: 0.9300 +2026-04-10 05:07:52,709 - INFO - Weighted F1: 0.9288 +2026-04-10 05:07:52,709 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9701 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Steady F1: 0.9702, Precision: 0.9640, Recall: 0.9775 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 05:07:52,709 - INFO - Macro F1: 0.9702 +2026-04-10 05:07:52,709 - INFO - Weighted F1: 0.9702 +2026-04-10 05:07:52,709 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7362 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Transition F1: 0.7314, Precision: 0.7258, Recall: 0.7442 +2026-04-10 05:07:52,709 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 05:07:52,709 - INFO - Macro F1: 0.7314 +2026-04-10 05:07:52,709 - INFO - Weighted F1: 0.7369 +2026-04-10 05:07:52,709 - INFO - +2026-04-10 05:07:52,710 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9256 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Overall F1: 0.9279, Precision: 0.9223, Recall: 0.9347 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 05:07:52,710 - INFO - Macro F1: 0.9279 +2026-04-10 05:07:52,710 - INFO - Weighted F1: 0.9256 +2026-04-10 05:07:52,710 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9680 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Steady F1: 0.9672, Precision: 0.9619, Recall: 0.9735 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 05:07:52,710 - INFO - Macro F1: 0.9672 +2026-04-10 05:07:52,710 - INFO - Weighted F1: 0.9681 +2026-04-10 05:07:52,710 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7327 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Transition F1: 0.7234, Precision: 0.7115, Recall: 0.7415 +2026-04-10 05:07:52,710 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 05:07:52,710 - INFO - Macro F1: 0.7234 +2026-04-10 05:07:52,710 - INFO - Weighted F1: 0.7325 +2026-04-10 05:07:52,710 - INFO - +2026-04-10 05:07:52,710 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9173 +2026-04-10 05:07:52,710 - INFO - Horizon 0.5s - Overall F1: 0.9209, Precision: 0.9184, Recall: 0.9244 +2026-04-10 05:07:52,710 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 05:07:52,710 - INFO - Macro F1: 0.9209 +2026-04-10 05:07:52,710 - INFO - Weighted F1: 0.9172 +2026-04-10 05:07:52,710 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9623 +2026-04-10 05:07:52,711 - INFO - Horizon 0.5s - Steady F1: 0.9599, Precision: 0.9543, Recall: 0.9665 +2026-04-10 05:07:52,711 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 05:07:52,711 - INFO - Macro F1: 0.9599 +2026-04-10 05:07:52,711 - INFO - Weighted F1: 0.9624 +2026-04-10 05:07:52,711 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7085 +2026-04-10 05:07:52,711 - INFO - Horizon 0.5s - Transition F1: 0.7144, Precision: 0.7232, Recall: 0.7128 +2026-04-10 05:07:52,711 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 05:07:52,711 - INFO - Macro F1: 0.7144 +2026-04-10 05:07:52,711 - INFO - Weighted F1: 0.7086 +2026-04-10 05:07:52,711 - INFO - +2026-04-10 05:07:52,711 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8931 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Overall F1: 0.8958, Precision: 0.8966, Recall: 0.8959 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 05:07:52,711 - INFO - Macro F1: 0.8958 +2026-04-10 05:07:52,711 - INFO - Weighted F1: 0.8926 +2026-04-10 05:07:52,711 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9437 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Steady F1: 0.9365, Precision: 0.9294, Recall: 0.9444 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 05:07:52,711 - INFO - Macro F1: 0.9365 +2026-04-10 05:07:52,711 - INFO - Weighted F1: 0.9437 +2026-04-10 05:07:52,711 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6539 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Transition F1: 0.6484, Precision: 0.6844, Recall: 0.6287 +2026-04-10 05:07:52,711 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 05:07:52,711 - INFO - Macro F1: 0.6484 +2026-04-10 05:07:52,712 - INFO - Weighted F1: 0.6550 +2026-04-10 05:07:53,648 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_49.pt +2026-04-10 05:07:53,650 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,651 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,651 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,652 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,653 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,654 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,655 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,655 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,656 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,657 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,658 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,659 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,659 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,660 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,661 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,662 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_49.csv +2026-04-10 05:07:53,662 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_49.csv +2026-04-10 05:07:53,663 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_49.csv +2026-04-10 05:07:53,678 - INFO - Removed old checkpoint: checkpoint_epoch_48.pt +2026-04-10 05:07:53,680 - INFO - Epoch 50/50, Learning Rate: 0.000000 +2026-04-10 05:29:18,405 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-10 05:29:18,499 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-10 05:29:18,571 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-10 05:29:18,646 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-10 05:29:18,724 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-10 05:29:18,790 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-10 05:29:20,688 - INFO - Epoch 50/50: +2026-04-10 05:29:20,689 - INFO - Train: loss=0.5895, accuracy_overall=0.9681 +2026-04-10 05:29:20,689 - INFO - Horizon 0.0s: accuracy=0.9680 +2026-04-10 05:29:20,689 - INFO - Horizon 0.1s: accuracy=0.9749 +2026-04-10 05:29:20,689 - INFO - Horizon 0.2s: accuracy=0.9747 +2026-04-10 05:29:20,689 - INFO - Horizon 0.3s: accuracy=0.9715 +2026-04-10 05:29:20,689 - INFO - Horizon 0.5s: accuracy=0.9666 +2026-04-10 05:29:20,689 - INFO - Horizon 1.0s: accuracy=0.9526 +2026-04-10 05:29:20,689 - INFO - Val Horizon 0.0s - Overall: loss=0.6909, accuracy=0.9331 +2026-04-10 05:29:20,689 - INFO - Horizon 0.0s - Overall F1: 0.9338, Precision: 0.9293, Recall: 0.9393 +2026-04-10 05:29:20,689 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-10 05:29:20,689 - INFO - Macro F1: 0.9338 +2026-04-10 05:29:20,689 - INFO - Weighted F1: 0.9330 +2026-04-10 05:29:20,689 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9729 +2026-04-10 05:29:20,689 - INFO - Horizon 0.0s - Steady F1: 0.9730, Precision: 0.9694, Recall: 0.9773 +2026-04-10 05:29:20,689 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-10 05:29:20,690 - INFO - Macro F1: 0.9730 +2026-04-10 05:29:20,690 - INFO - Weighted F1: 0.9730 +2026-04-10 05:29:20,690 - INFO - Val Horizon 0.0s - Transition: accuracy=0.7492 +2026-04-10 05:29:20,690 - INFO - Horizon 0.0s - Transition F1: 0.7343, Precision: 0.7193, Recall: 0.7522 +2026-04-10 05:29:20,690 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-10 05:29:20,690 - INFO - Macro F1: 0.7343 +2026-04-10 05:29:20,690 - INFO - Weighted F1: 0.7502 +2026-04-10 05:29:20,690 - INFO - +2026-04-10 05:29:20,690 - INFO - Val Horizon 0.1s - Overall: accuracy=0.9327 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Overall F1: 0.9334, Precision: 0.9273, Recall: 0.9405 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-10 05:29:20,690 - INFO - Macro F1: 0.9334 +2026-04-10 05:29:20,690 - INFO - Weighted F1: 0.9328 +2026-04-10 05:29:20,690 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9738 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Steady F1: 0.9747, Precision: 0.9695, Recall: 0.9807 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-10 05:29:20,690 - INFO - Macro F1: 0.9747 +2026-04-10 05:29:20,690 - INFO - Weighted F1: 0.9739 +2026-04-10 05:29:20,690 - INFO - Val Horizon 0.1s - Transition: accuracy=0.7459 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Transition F1: 0.7159, Precision: 0.7015, Recall: 0.7345 +2026-04-10 05:29:20,690 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-10 05:29:20,690 - INFO - Macro F1: 0.7159 +2026-04-10 05:29:20,690 - INFO - Weighted F1: 0.7462 +2026-04-10 05:29:20,690 - INFO - +2026-04-10 05:29:20,691 - INFO - Val Horizon 0.2s - Overall: accuracy=0.9285 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Overall F1: 0.9299, Precision: 0.9249, Recall: 0.9364 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-10 05:29:20,691 - INFO - Macro F1: 0.9299 +2026-04-10 05:29:20,691 - INFO - Weighted F1: 0.9285 +2026-04-10 05:29:20,691 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9703 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Steady F1: 0.9701, Precision: 0.9640, Recall: 0.9773 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-10 05:29:20,691 - INFO - Macro F1: 0.9701 +2026-04-10 05:29:20,691 - INFO - Weighted F1: 0.9705 +2026-04-10 05:29:20,691 - INFO - Val Horizon 0.2s - Transition: accuracy=0.7336 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Transition F1: 0.7310, Precision: 0.7222, Recall: 0.7468 +2026-04-10 05:29:20,691 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-10 05:29:20,691 - INFO - Macro F1: 0.7310 +2026-04-10 05:29:20,691 - INFO - Weighted F1: 0.7344 +2026-04-10 05:29:20,691 - INFO - +2026-04-10 05:29:20,691 - INFO - Val Horizon 0.3s - Overall: accuracy=0.9259 +2026-04-10 05:29:20,691 - INFO - Horizon 0.3s - Overall F1: 0.9283, Precision: 0.9222, Recall: 0.9356 +2026-04-10 05:29:20,691 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-10 05:29:20,691 - INFO - Macro F1: 0.9283 +2026-04-10 05:29:20,691 - INFO - Weighted F1: 0.9259 +2026-04-10 05:29:20,691 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9683 +2026-04-10 05:29:20,691 - INFO - Horizon 0.3s - Steady F1: 0.9676, Precision: 0.9619, Recall: 0.9741 +2026-04-10 05:29:20,691 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-10 05:29:20,691 - INFO - Macro F1: 0.9676 +2026-04-10 05:29:20,691 - INFO - Weighted F1: 0.9684 +2026-04-10 05:29:20,692 - INFO - Val Horizon 0.3s - Transition: accuracy=0.7333 +2026-04-10 05:29:20,692 - INFO - Horizon 0.3s - Transition F1: 0.7247, Precision: 0.7116, Recall: 0.7436 +2026-04-10 05:29:20,692 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-10 05:29:20,692 - INFO - Macro F1: 0.7247 +2026-04-10 05:29:20,692 - INFO - Weighted F1: 0.7330 +2026-04-10 05:29:20,692 - INFO - +2026-04-10 05:29:20,692 - INFO - Val Horizon 0.5s - Overall: accuracy=0.9176 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Overall F1: 0.9212, Precision: 0.9189, Recall: 0.9245 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-10 05:29:20,692 - INFO - Macro F1: 0.9212 +2026-04-10 05:29:20,692 - INFO - Weighted F1: 0.9176 +2026-04-10 05:29:20,692 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9626 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Steady F1: 0.9603, Precision: 0.9549, Recall: 0.9666 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-10 05:29:20,692 - INFO - Macro F1: 0.9603 +2026-04-10 05:29:20,692 - INFO - Weighted F1: 0.9627 +2026-04-10 05:29:20,692 - INFO - Val Horizon 0.5s - Transition: accuracy=0.7092 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Transition F1: 0.7146, Precision: 0.7234, Recall: 0.7130 +2026-04-10 05:29:20,692 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-10 05:29:20,692 - INFO - Macro F1: 0.7146 +2026-04-10 05:29:20,692 - INFO - Weighted F1: 0.7093 +2026-04-10 05:29:20,692 - INFO - +2026-04-10 05:29:20,692 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8931 +2026-04-10 05:29:20,692 - INFO - Horizon 1.0s - Overall F1: 0.8962, Precision: 0.8978, Recall: 0.8957 +2026-04-10 05:29:20,693 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-10 05:29:20,693 - INFO - Macro F1: 0.8962 +2026-04-10 05:29:20,693 - INFO - Weighted F1: 0.8925 +2026-04-10 05:29:20,693 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.9444 +2026-04-10 05:29:20,693 - INFO - Horizon 1.0s - Steady F1: 0.9376, Precision: 0.9307, Recall: 0.9453 +2026-04-10 05:29:20,693 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-10 05:29:20,693 - INFO - Macro F1: 0.9376 +2026-04-10 05:29:20,693 - INFO - Weighted F1: 0.9444 +2026-04-10 05:29:20,693 - INFO - Val Horizon 1.0s - Transition: accuracy=0.6506 +2026-04-10 05:29:20,693 - INFO - Horizon 1.0s - Transition F1: 0.6470, Precision: 0.6872, Recall: 0.6252 +2026-04-10 05:29:20,693 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-10 05:29:20,693 - INFO - Macro F1: 0.6470 +2026-04-10 05:29:20,693 - INFO - Weighted F1: 0.6519 +2026-04-10 05:29:21,599 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/checkpoint_epoch_50.pt +2026-04-10 05:29:21,601 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,602 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,603 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.0s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,603 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,604 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,605 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.1s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,606 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,607 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,607 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.2s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,608 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,609 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,610 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.3s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,611 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,611 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,612 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_0.5s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,613 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_epoch_50.csv +2026-04-10 05:29:21,614 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_steady_epoch_50.csv +2026-04-10 05:29:21,614 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/val/horizon_1.0s/metrics_report_transition_epoch_50.csv +2026-04-10 05:29:21,631 - INFO - Removed old checkpoint: checkpoint_epoch_49.pt diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..eb38c02af15e4363b2be71d83003c7442bd45a40 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/best_val_subject_results.csv @@ -0,0 +1,10 @@ +subject,accuracy_0.0s,macro_f1_0.0s,weighted_f1_0.0s,steady_macro_f1_0.0s,transition_macro_f1_0.0s,accuracy_0.1s,macro_f1_0.1s,weighted_f1_0.1s,steady_macro_f1_0.1s,transition_macro_f1_0.1s,accuracy_0.2s,macro_f1_0.2s,weighted_f1_0.2s,steady_macro_f1_0.2s,transition_macro_f1_0.2s,accuracy_0.3s,macro_f1_0.3s,weighted_f1_0.3s,steady_macro_f1_0.3s,transition_macro_f1_0.3s,accuracy_0.5s,macro_f1_0.5s,weighted_f1_0.5s,steady_macro_f1_0.5s,transition_macro_f1_0.5s,accuracy_1.0s,macro_f1_1.0s,weighted_f1_1.0s,steady_macro_f1_1.0s,transition_macro_f1_1.0s 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b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..f4001a744a97e95f3fbd3728667df6bd0541897b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,473,5,5,0,1,0,4,0,3,0,42 +Sit to stand,4,75,0,3,0,0,0,0,0,0,0 +Stand to sit,6,0,84,10,0,0,0,0,0,0,0 +Sitting,0,6,2,49,0,0,0,0,0,0,0 +Stair up,0,0,0,0,28,0,0,1,0,0,0 +Stair down,0,0,0,0,0,24,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,82,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,68,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,71,1,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,59,0 +Carry,5,0,0,0,0,0,0,0,0,0,255 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d98a7a9c24cd56c9907748bc9d4f50f447c46ab --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,423,2,2,0,0,0,0,0,1,0,32 +Sit to stand,0,26,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,47,0,0,0,0,0,0,0,0 +Sitting,0,1,0,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,25,0,0,0,0,0,0 +Stair down,0,0,0,0,0,21,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,74,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,66,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,67,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,55,0 +Carry,1,0,0,0,0,0,0,0,0,0,242 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e6f2969dc419d47ae30e9bc4b8a1caa976b10512 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,50,3,3,0,1,0,4,0,2,0,10 +Sit to stand,4,49,0,3,0,0,0,0,0,0,0 +Stand to sit,6,0,37,10,0,0,0,0,0,0,0 +Sitting,0,5,2,21,0,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,1,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,8,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,2,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,4,1,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,4,0 +Carry,4,0,0,0,0,0,0,0,0,0,13 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..57d6484b8a8106e86c4e8782ca739aec176c60db --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9497991967871486,0.8874296435272045,0.9175557710960233,533.0,498,533 +Sit to stand,0.872093023255814,0.9146341463414634,0.8928571428571429,82.0,86,82 +Stand to sit,0.9230769230769231,0.84,0.8795811518324608,100.0,91,100 +Sitting,0.7903225806451613,0.8596491228070176,0.8235294117647058,57.0,62,57 +Stair up,0.9655172413793104,0.9655172413793104,0.9655172413793104,29.0,29,29 +Stair down,1.0,1.0,1.0,24.0,24,24 +Ramp up,0.9534883720930233,1.0,0.9761904761904762,82.0,86,82 +Ramp down,0.9855072463768116,0.9444444444444444,0.9645390070921985,72.0,69,72 +Grass walking,0.9594594594594594,0.9466666666666667,0.9530201342281879,75.0,74,75 +Uneven ground walking,0.9833333333333333,0.9516129032258065,0.9672131147540983,62.0,60,62 +Carry,0.8585858585858586,0.9807692307692307,0.9156193895870736,260.0,297,260 +accuracy,0.9215116279069767,0.9215116279069767,0.9215116279069767,0.9215116279069767,0,0 +macro avg,0.931016657726622,0.9355203090146493,0.9323293491619707,1376.0,0,0 +weighted avg,0.9247178029129369,0.9215116279069767,0.921635171071995,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d41c859e0d0bef1beced442f338b7a2a6a9ca843 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9929577464788732,0.9195652173913044,0.9548532731376975,460.0,426,460 +Sit to stand,0.896551724137931,1.0,0.9454545454545454,26.0,29,26 +Stand to sit,0.9591836734693877,1.0,0.9791666666666666,47.0,49,47 +Sitting,1.0,0.9655172413793104,0.9824561403508771,29.0,28,29 +Stair up,1.0,1.0,1.0,25.0,25,25 +Stair down,1.0,1.0,1.0,21.0,21,21 +Ramp up,1.0,1.0,1.0,74.0,74,74 +Ramp down,1.0,0.9850746268656716,0.9924812030075187,67.0,66,67 +Grass walking,0.9852941176470589,1.0,0.9925925925925926,67.0,68,67 +Uneven ground walking,1.0,0.9821428571428571,0.990990990990991,56.0,55,56 +Carry,0.8832116788321168,0.9958847736625515,0.9361702127659575,243.0,274,243 +accuracy,0.9632286995515695,0.9632286995515695,0.9632286995515695,0.9632286995515695,0,0 +macro avg,0.9742908127786698,0.9861986105856086,0.9794696022697131,1115.0,0,0 +weighted avg,0.9666257261878801,0.9632286995515695,0.9635077907905815,1115.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea83c743888526e40138f8c323a13bdc38c5b33f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6944444444444444,0.684931506849315,0.6896551724137931,73.0,72,73 +Sit to stand,0.8596491228070176,0.875,0.8672566371681416,56.0,57,56 +Stand to sit,0.8809523809523809,0.6981132075471698,0.7789473684210526,53.0,42,53 +Sitting,0.6176470588235294,0.75,0.6774193548387096,28.0,34,28 +Stair up,0.75,0.75,0.75,4.0,4,4 +Stair down,1.0,1.0,1.0,3.0,3,3 +Ramp up,0.6666666666666666,1.0,0.8,8.0,12,8 +Ramp down,0.6666666666666666,0.4,0.5,5.0,3,5 +Grass walking,0.6666666666666666,0.5,0.5714285714285714,8.0,6,8 +Uneven ground walking,0.8,0.6666666666666666,0.7272727272727273,6.0,5,6 +Carry,0.5652173913043478,0.7647058823529411,0.65,17.0,23,17 +accuracy,0.7432950191570882,0.7432950191570882,0.7432950191570882,0.7432950191570882,0,0 +macro avg,0.7425373089392473,0.7354015694014631,0.7283618028675449,261.0,0,0 +weighted avg,0.7556631601967293,0.7432950191570882,0.7434797573352011,261.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..dbac64d0f1455b047cc9e11326288b5bff9649be --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,470,5,6,1,1,2,2,0,2,1,43 +Sit to stand,4,73,0,7,0,0,0,0,0,0,0 +Stand to sit,6,0,85,5,0,0,0,0,0,0,0 +Sitting,0,4,2,52,0,0,0,0,0,0,0 +Stair up,0,0,0,0,28,0,0,0,0,0,0 +Stair down,2,0,0,0,0,22,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,82,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,66,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,73,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,58,0 +Carry,6,0,0,0,0,0,0,0,0,0,256 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..56a2d140cb7a862f786b9292f95235c7f415d630 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,419,2,3,1,0,0,0,0,0,0,31 +Sit to stand,0,27,0,0,0,0,0,0,0,0,0 +Stand to sit,1,0,43,0,0,0,0,0,0,0,0 +Sitting,0,0,0,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,24,0,0,0,0,0,0 +Stair down,0,0,0,0,0,20,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,73,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,65,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,69,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,56,0 +Carry,2,0,0,0,0,0,0,0,0,0,242 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..834e1a30716bdfee9f8bdc9d19746dee46e3f108 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,51,3,3,0,1,2,2,0,2,1,12 +Sit to stand,4,46,0,7,0,0,0,0,0,0,0 +Stand to sit,5,0,42,5,0,0,0,0,0,0,0 +Sitting,0,4,2,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,4,0,0,0,0,0,0 +Stair down,2,0,0,0,0,2,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,9,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,1,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,2,0 +Carry,4,0,0,0,0,0,0,0,0,0,14 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..adf979af7174606588b703365dfecf8b64a13cec --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.94,0.8818011257035647,0.9099709583736689,533.0,500,533 +Sit to stand,0.8902439024390244,0.8690476190476191,0.8795180722891566,84.0,82,84 +Stand to sit,0.9139784946236559,0.8854166666666666,0.8994708994708994,96.0,93,96 +Sitting,0.8,0.896551724137931,0.8455284552845529,58.0,65,58 +Stair up,0.9655172413793104,1.0,0.9824561403508771,28.0,29,28 +Stair down,0.9166666666666666,0.9166666666666666,0.9166666666666666,24.0,24,24 +Ramp up,0.9761904761904762,1.0,0.9879518072289156,82.0,84,82 +Ramp down,1.0,0.9166666666666666,0.9565217391304348,72.0,66,72 +Grass walking,0.9733333333333334,0.9605263157894737,0.9668874172185431,76.0,75,76 +Uneven ground walking,0.9830508474576272,0.9508196721311475,0.9666666666666667,61.0,59,61 +Carry,0.8561872909698997,0.9770992366412213,0.9126559714795008,262.0,299,262 +accuracy,0.9193313953488372,0.9193313953488372,0.9193313953488372,0.9193313953488372,0,0 +macro avg,0.9286516593690902,0.9322359721319052,0.9294813449236256,1376.0,0,0 +weighted avg,0.9224455162480748,0.9193313953488372,0.9195059999157391,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f9b209210235f83a4c28df155940f126cfdf5067 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9905437352245863,0.918859649122807,0.9533560864618885,456.0,423,456 +Sit to stand,0.9310344827586207,1.0,0.9642857142857143,27.0,29,27 +Stand to sit,0.9347826086956522,0.9772727272727273,0.9555555555555556,44.0,46,44 +Sitting,0.9655172413793104,1.0,0.9824561403508771,28.0,29,28 +Stair up,1.0,1.0,1.0,24.0,24,24 +Stair down,1.0,1.0,1.0,20.0,20,20 +Ramp up,1.0,1.0,1.0,73.0,73,73 +Ramp down,1.0,0.9848484848484849,0.9923664122137404,66.0,65,66 +Grass walking,1.0,1.0,1.0,69.0,69,69 +Uneven ground walking,1.0,1.0,1.0,56.0,56,56 +Carry,0.8864468864468864,0.9918032786885246,0.9361702127659575,244.0,273,244 +accuracy,0.9629629629629629,0.9629629629629629,0.9629629629629629,0.9629629629629629,0,0 +macro avg,0.9734840867731869,0.9884349218120494,0.9803809201485213,1107.0,0,0 +weighted avg,0.9659293876523611,0.9629629629629629,0.9631806876310794,1107.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..273201f99ebe87e824e945d46561e0bf64c3e1c5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6623376623376623,0.6623376623376623,0.6623376623376623,77.0,77,77 +Sit to stand,0.8679245283018868,0.8070175438596491,0.8363636363636363,57.0,53,57 +Stand to sit,0.8936170212765957,0.8076923076923077,0.8484848484848485,52.0,47,52 +Sitting,0.6666666666666666,0.8,0.7272727272727273,30.0,36,30 +Stair up,0.8,1.0,0.8888888888888888,4.0,5,4 +Stair down,0.5,0.5,0.5,4.0,4,4 +Ramp up,0.8181818181818182,1.0,0.9,9.0,11,9 +Ramp down,1.0,0.16666666666666666,0.2857142857142857,6.0,1,6 +Grass walking,0.6666666666666666,0.5714285714285714,0.6153846153846154,7.0,6,7 +Uneven ground walking,0.6666666666666666,0.4,0.5,5.0,3,5 +Carry,0.5384615384615384,0.7777777777777778,0.6363636363636364,18.0,26,18 +accuracy,0.7397769516728625,0.7397769516728625,0.7397769516728625,0.7397769516728625,0,0 +macro avg,0.7345929607781365,0.681174593614785,0.6728009364373001,269.0,0,0 +weighted avg,0.7553744508384185,0.7397769516728625,0.7369672871531608,269.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..5225d1c2cc0726411166bf320efeb527bcfffcf5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,469,5,7,0,0,1,4,0,3,1,40 +Sit to stand,3,76,0,3,0,0,0,0,0,0,0 +Stand to sit,8,2,87,3,0,0,0,0,0,0,0 +Sitting,0,8,4,44,0,0,0,0,0,0,0 +Stair up,0,0,0,0,29,0,0,1,0,0,0 +Stair down,1,0,0,0,0,24,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,82,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,66,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,73,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,59,0 +Carry,6,0,0,0,0,0,0,0,0,0,256 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..301ff11a2897d676b05daa6c280f3d76d873a02b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,414,3,4,0,0,0,0,0,0,0,31 +Sit to stand,0,27,0,1,0,0,0,0,0,0,0 +Stand to sit,1,0,45,0,0,0,0,0,0,0,0 +Sitting,0,0,0,26,0,0,0,0,0,0,0 +Stair up,0,0,0,0,26,0,0,0,0,0,0 +Stair down,0,0,0,0,0,21,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,75,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,65,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,67,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,55,0 +Carry,3,0,0,0,0,0,0,0,0,0,241 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd0e66de7dab0cd4f2a6a6ac9f66b81077c4a575 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,55,2,3,0,0,1,4,0,3,1,9 +Sit to stand,3,49,0,2,0,0,0,0,0,0,0 +Stand to sit,7,2,42,3,0,0,0,0,0,0,0 +Sitting,0,8,4,18,0,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,1,0,0,0 +Stair down,1,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,7,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,1,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,4,0 +Carry,3,0,0,0,0,0,0,0,0,0,15 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4604531b5e4b5c6f9c0b5e7344faccf79bae5a8f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9417670682730924,0.8849056603773585,0.9124513618677043,530.0,498,530 +Sit to stand,0.8351648351648352,0.926829268292683,0.8786127167630058,82.0,91,82 +Stand to sit,0.8877551020408163,0.87,0.8787878787878788,100.0,98,100 +Sitting,0.88,0.7857142857142857,0.8301886792452831,56.0,50,56 +Stair up,1.0,0.9666666666666667,0.9830508474576272,30.0,29,30 +Stair down,0.96,0.96,0.96,25.0,25,25 +Ramp up,0.9534883720930233,0.9879518072289156,0.9704142011834319,83.0,86,83 +Ramp down,0.9850746268656716,0.9295774647887324,0.9565217391304348,71.0,67,71 +Grass walking,0.9605263157894737,0.9733333333333334,0.9668874172185431,75.0,76,75 +Uneven ground walking,0.9833333333333333,0.9516129032258065,0.9672131147540983,62.0,60,62 +Carry,0.8648648648648649,0.9770992366412213,0.9175627240143369,262.0,296,262 +accuracy,0.9193313953488372,0.9193313953488372,0.9193313953488372,0.9193313953488372,0,0 +macro avg,0.9319976834931919,0.9285173296608185,0.9292446073111221,1376.0,0,0 +weighted avg,0.9217704514600235,0.9193313953488372,0.9192216345778262,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9336738f24260ebea74c6bbd3bc46c3a1eb51b41 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9833729216152018,0.915929203539823,0.9484536082474226,452.0,421,452 +Sit to stand,0.9,0.9642857142857143,0.9310344827586207,28.0,30,28 +Stand to sit,0.9183673469387755,0.9782608695652174,0.9473684210526315,46.0,49,46 +Sitting,0.9629629629629629,1.0,0.9811320754716981,26.0,27,26 +Stair up,1.0,1.0,1.0,26.0,26,26 +Stair down,1.0,1.0,1.0,21.0,21,21 +Ramp up,1.0,1.0,1.0,75.0,75,75 +Ramp down,1.0,0.9848484848484849,0.9923664122137404,66.0,65,66 +Grass walking,1.0,0.9852941176470589,0.9925925925925926,68.0,67,68 +Uneven ground walking,1.0,0.9821428571428571,0.990990990990991,56.0,55,56 +Carry,0.8860294117647058,0.9877049180327869,0.9341085271317829,244.0,272,244 +accuracy,0.9584837545126353,0.9584837545126353,0.9584837545126353,0.9584837545126353,0,0 +macro avg,0.9682484221165133,0.9816787422783584,0.9743679191326801,1108.0,0,0 +weighted avg,0.9613336390224549,0.9584837545126353,0.9587263839294361,1108.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fbe56a0a9829ebaa6f8b6a4f74ff211f13729ac --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7142857142857143,0.7051282051282052,0.7096774193548387,78.0,77,78 +Sit to stand,0.8032786885245902,0.9074074074074074,0.8521739130434782,54.0,61,54 +Stand to sit,0.8571428571428571,0.7777777777777778,0.8155339805825242,54.0,49,54 +Sitting,0.782608695652174,0.6,0.6792452830188679,30.0,23,30 +Stair up,1.0,0.75,0.8571428571428571,4.0,3,4 +Stair down,0.75,0.75,0.75,4.0,4,4 +Ramp up,0.6363636363636364,0.875,0.7368421052631579,8.0,11,8 +Ramp down,0.5,0.2,0.2857142857142857,5.0,2,5 +Grass walking,0.6666666666666666,0.8571428571428571,0.75,7.0,9,7 +Uneven ground walking,0.8,0.6666666666666666,0.7272727272727273,6.0,5,6 +Carry,0.625,0.8333333333333334,0.7142857142857143,18.0,24,18 +accuracy,0.7574626865671642,0.7574626865671642,0.7574626865671642,0.7574626865671642,0,0 +macro avg,0.73957693260324,0.7202232952232952,0.7161716623344048,268.0,0,0 +weighted avg,0.761801812714436,0.7574626865671642,0.7537726954331155,268.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..fb866eb77415d5233639df2374604c4db2b2b2a0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,468,7,6,0,2,2,5,0,4,1,39 +Sit to stand,2,71,0,6,0,0,0,0,0,0,0 +Stand to sit,11,1,84,3,0,0,0,0,0,0,0 +Sitting,0,10,3,44,0,0,0,0,0,0,0 +Stair up,0,0,0,0,28,0,0,1,0,0,0 +Stair down,1,0,0,0,0,23,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,83,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,65,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,74,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,59,0 +Carry,8,0,0,0,0,0,0,0,0,0,257 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9bd070f5f7c23c9c015264261920a2637f84cb32 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,413,3,4,0,0,1,0,0,1,0,31 +Sit to stand,0,25,0,1,0,0,0,0,0,0,0 +Stand to sit,2,0,44,0,0,0,0,0,0,0,0 +Sitting,0,1,0,27,0,0,0,0,0,0,0 +Stair up,0,0,0,0,26,0,0,0,0,0,0 +Stair down,0,0,0,0,0,20,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,74,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,64,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,67,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,54,0 +Carry,4,0,0,0,0,0,0,0,0,0,243 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2824f0bf5b6b1e736ecebdbb2b332d48b2293ab8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,55,4,2,0,2,1,5,0,3,1,8 +Sit to stand,2,46,0,5,0,0,0,0,0,0,0 +Stand to sit,9,1,40,3,0,0,0,0,0,0,0 +Sitting,0,9,3,17,0,0,0,0,0,0,0 +Stair up,0,0,0,0,2,0,0,1,0,0,0 +Stair down,1,0,0,0,0,3,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,9,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,1,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5,0 +Carry,4,0,0,0,0,0,0,0,0,0,14 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..baec32e59de985aa298b3de8c0343d18115c7732 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9397590361445783,0.8764044943820225,0.9069767441860465,534.0,498,534 +Sit to stand,0.797752808988764,0.8987341772151899,0.8452380952380952,79.0,89,79 +Stand to sit,0.9032258064516129,0.8484848484848485,0.875,99.0,93,99 +Sitting,0.8301886792452831,0.7719298245614035,0.8,57.0,53,57 +Stair up,0.9333333333333333,0.9655172413793104,0.9491525423728814,29.0,30,29 +Stair down,0.92,0.9583333333333334,0.9387755102040817,24.0,25,24 +Ramp up,0.9431818181818182,1.0,0.9707602339181286,83.0,88,83 +Ramp down,0.9848484848484849,0.9420289855072463,0.9629629629629629,69.0,66,69 +Grass walking,0.9487179487179487,0.9866666666666667,0.9673202614379085,75.0,78,75 +Uneven ground walking,0.9833333333333333,0.9516129032258065,0.9672131147540983,62.0,60,62 +Carry,0.8682432432432432,0.969811320754717,0.9162210338680927,265.0,296,265 +accuracy,0.9127906976744186,0.9127906976744186,0.9127906976744186,0.9127906976744186,0,0 +macro avg,0.9138713174989455,0.9245021632282313,0.9181473180856632,1376.0,0,0 +weighted avg,0.9151047834863978,0.9127906976744186,0.9125819603562216,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..694cc6d98f41da806f96933a511ee73bf7b75953 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9809976247030879,0.9116997792494481,0.9450800915331807,453.0,421,453 +Sit to stand,0.8620689655172413,0.9615384615384616,0.9090909090909091,26.0,29,26 +Stand to sit,0.9166666666666666,0.9565217391304348,0.9361702127659575,46.0,48,46 +Sitting,0.9642857142857143,0.9642857142857143,0.9642857142857143,28.0,28,28 +Stair up,1.0,1.0,1.0,26.0,26,26 +Stair down,0.9523809523809523,1.0,0.975609756097561,20.0,21,20 +Ramp up,1.0,1.0,1.0,74.0,74,74 +Ramp down,1.0,1.0,1.0,64.0,64,64 +Grass walking,0.9852941176470589,1.0,0.9925925925925926,67.0,68,67 +Uneven ground walking,1.0,0.9642857142857143,0.9818181818181818,56.0,54,56 +Carry,0.8868613138686131,0.9838056680161943,0.9328214971209213,247.0,274,247 +accuracy,0.95483288166215,0.95483288166215,0.95483288166215,0.95483288166215,0,0 +macro avg,0.9589595777335759,0.9765579160459968,0.9670426323004562,1107.0,0,0 +weighted avg,0.9576237156423968,0.95483288166215,0.955037128892926,1107.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..39a5d72d3549ca7c4553e1fc670285db3642e903 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7142857142857143,0.6790123456790124,0.6962025316455697,81.0,77,81 +Sit to stand,0.7666666666666667,0.8679245283018868,0.8141592920353983,53.0,60,53 +Stand to sit,0.8888888888888888,0.7547169811320755,0.8163265306122449,53.0,45,53 +Sitting,0.68,0.5862068965517241,0.6296296296296297,29.0,25,29 +Stair up,0.5,0.6666666666666666,0.5714285714285714,3.0,4,3 +Stair down,0.75,0.75,0.75,4.0,4,4 +Ramp up,0.6428571428571429,1.0,0.782608695652174,9.0,14,9 +Ramp down,0.5,0.2,0.2857142857142857,5.0,2,5 +Grass walking,0.7,0.875,0.7777777777777778,8.0,10,8 +Uneven ground walking,0.8333333333333334,0.8333333333333334,0.8333333333333334,6.0,6,6 +Carry,0.6363636363636364,0.7777777777777778,0.7,18.0,22,18 +accuracy,0.7397769516728625,0.7397769516728625,0.7397769516728625,0.7397769516728625,0,0 +macro avg,0.6920359438541257,0.7264216844947705,0.6961073316208167,269.0,0,0 +weighted avg,0.7440960856574239,0.7397769516728625,0.7363418979510201,269.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..180780331ab4419471d5974a9d12739e1d1d660c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,460,7,10,1,0,1,4,0,3,0,40 +Sit to stand,3,69,0,7,0,0,0,0,0,0,0 +Stand to sit,14,1,83,6,0,0,0,0,0,0,0 +Sitting,0,11,3,40,0,0,0,0,0,0,0 +Stair up,0,0,0,0,30,0,0,1,0,0,0 +Stair down,1,0,0,0,0,24,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,85,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,64,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,76,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,60,0 +Carry,9,0,0,0,0,0,0,0,0,0,255 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..019a3a46e540da327e559bd4f40dfe082cd9eb24 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,410,1,6,1,0,0,0,0,1,0,30 +Sit to stand,0,21,0,2,0,0,0,0,0,0,0 +Stand to sit,3,0,46,0,0,0,0,0,0,0,0 +Sitting,0,1,0,25,0,0,0,0,0,0,0 +Stair up,0,0,0,0,26,0,0,0,0,0,0 +Stair down,0,0,0,0,0,21,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,76,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,63,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,69,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,55,0 +Carry,6,0,0,0,0,0,0,0,0,0,242 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..dc669063816025baceca4269e3c4ad826ea337db --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,50,6,4,0,0,1,4,0,2,0,10 +Sit to stand,3,48,0,5,0,0,0,0,0,0,0 +Stand to sit,11,1,37,6,0,0,0,0,0,0,0 +Sitting,0,10,3,15,0,0,0,0,0,0,0 +Stair up,0,0,0,0,4,0,0,1,0,0,0 +Stair down,1,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,9,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,1,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5,0 +Carry,3,0,0,0,0,0,0,0,0,0,13 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e4e53944f9f7f7f103346053a3938f3eca9133db --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9292929292929293,0.8745247148288974,0.901077375122429,526.0,495,526 +Sit to stand,0.7840909090909091,0.8734177215189873,0.8263473053892215,79.0,88,79 +Stand to sit,0.8645833333333334,0.7980769230769231,0.83,104.0,96,104 +Sitting,0.7407407407407407,0.7407407407407407,0.7407407407407407,54.0,54,54 +Stair up,1.0,0.967741935483871,0.9836065573770492,31.0,30,31 +Stair down,0.96,0.96,0.96,25.0,25,25 +Ramp up,0.9550561797752809,0.9883720930232558,0.9714285714285714,86.0,89,86 +Ramp down,0.9846153846153847,0.9411764705882353,0.9624060150375939,68.0,65,68 +Grass walking,0.9620253164556962,0.987012987012987,0.9743589743589743,77.0,79,77 +Uneven ground walking,1.0,0.967741935483871,0.9836065573770492,62.0,60,62 +Carry,0.864406779661017,0.9659090909090909,0.9123434704830053,264.0,295,264 +accuracy,0.9055232558139535,0.9055232558139535,0.9055232558139535,0.9055232558139535,0,0 +macro avg,0.9131646884513901,0.9149740556969873,0.9132650515740578,1376.0,0,0 +weighted avg,0.9077296119949466,0.9055232558139535,0.9054609954031829,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..25ba0d725346986935a8dfee8827c4dde7282135 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9761904761904762,0.9131403118040089,0.9436133486766398,449.0,420,449 +Sit to stand,0.9130434782608695,0.9130434782608695,0.9130434782608695,23.0,23,23 +Stand to sit,0.8846153846153846,0.9387755102040817,0.9108910891089109,49.0,52,49 +Sitting,0.8928571428571429,0.9615384615384616,0.9259259259259259,26.0,28,26 +Stair up,1.0,1.0,1.0,26.0,26,26 +Stair down,1.0,1.0,1.0,21.0,21,21 +Ramp up,1.0,1.0,1.0,76.0,76,76 +Ramp down,1.0,1.0,1.0,63.0,63,63 +Grass walking,0.9857142857142858,1.0,0.9928057553956835,69.0,70,69 +Uneven ground walking,1.0,0.9821428571428571,0.990990990990991,56.0,55,56 +Carry,0.8897058823529411,0.9758064516129032,0.9307692307692308,248.0,272,248 +accuracy,0.9529837251356239,0.9529837251356239,0.9529837251356239,0.9529837251356239,0,0 +macro avg,0.9583751499991909,0.9713133700511986,0.9643672562843865,1106.0,0,0 +weighted avg,0.9552724302963639,0.9529837251356239,0.953182633675216,1106.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3bacff5c0bd6fc8f5f9cbcb492f0f25e005d0496 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6666666666666666,0.6493506493506493,0.6578947368421053,77.0,75,77 +Sit to stand,0.7384615384615385,0.8571428571428571,0.7933884297520661,56.0,65,56 +Stand to sit,0.8409090909090909,0.6727272727272727,0.7474747474747475,55.0,44,55 +Sitting,0.5769230769230769,0.5357142857142857,0.5555555555555556,28.0,26,28 +Stair up,1.0,0.8,0.8888888888888888,5.0,4,5 +Stair down,0.75,0.75,0.75,4.0,4,4 +Ramp up,0.6923076923076923,0.9,0.782608695652174,10.0,13,10 +Ramp down,0.5,0.2,0.2857142857142857,5.0,2,5 +Grass walking,0.7777777777777778,0.875,0.8235294117647058,8.0,9,8 +Uneven ground walking,1.0,0.8333333333333334,0.9090909090909091,6.0,5,6 +Carry,0.5652173913043478,0.8125,0.6666666666666666,16.0,23,16 +accuracy,0.7111111111111111,0.7111111111111111,0.7111111111111111,0.7111111111111111,0,0 +macro avg,0.737114839486381,0.716888036206218,0.7146193024911005,270.0,0,0 +weighted avg,0.7177029742488681,0.7111111111111111,0.7080106063499699,270.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..60c91c5f0e33e42bb3a4e45e439b79c6e25b58dc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,450,7,14,3,0,1,2,1,2,0,37 +Sit to stand,13,49,2,12,0,0,0,0,0,0,0 +Stand to sit,17,2,80,7,0,0,0,0,0,0,0 +Sitting,1,14,2,36,0,0,0,0,0,0,0 +Stair up,3,0,0,0,30,0,0,0,0,0,0 +Stair down,2,0,0,0,0,25,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,87,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,57,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,77,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,59,0 +Carry,13,0,0,0,0,0,0,0,0,0,257 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..23af383267a34dad1cb498520835533651a16e82 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,400,1,9,2,0,0,0,0,1,0,28 +Sit to stand,1,19,1,3,0,0,0,0,0,0,0 +Stand to sit,4,0,48,1,0,0,0,0,0,0,0 +Sitting,0,3,0,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,28,0,0,0,0,0,0 +Stair down,0,0,0,0,0,23,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,82,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,56,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,71,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,54,0 +Carry,9,0,0,0,0,0,0,0,0,0,245 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5d17579c365ae90e498f5edbfee9178dafce7999 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,50,6,5,1,0,1,2,1,1,0,9 +Sit to stand,12,30,1,9,0,0,0,0,0,0,0 +Stand to sit,13,2,32,6,0,0,0,0,0,0,0 +Sitting,1,11,2,12,0,0,0,0,0,0,0 +Stair up,3,0,0,0,2,0,0,0,0,0,0 +Stair down,2,0,0,0,0,2,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,5,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,1,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5,0 +Carry,4,0,0,0,0,0,0,0,0,0,12 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d4ff69643cbcfe77f3099e82965f2dd4b180c067 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8771929824561403,0.8704061895551257,0.8737864077669902,517.0,513,517 +Sit to stand,0.6805555555555556,0.6447368421052632,0.6621621621621622,76.0,72,76 +Stand to sit,0.8163265306122449,0.7547169811320755,0.7843137254901961,106.0,98,106 +Sitting,0.6206896551724138,0.6792452830188679,0.6486486486486487,53.0,58,53 +Stair up,1.0,0.9090909090909091,0.9523809523809523,33.0,30,33 +Stair down,0.9615384615384616,0.9259259259259259,0.9433962264150944,27.0,26,27 +Ramp up,0.9775280898876404,0.9666666666666667,0.9720670391061452,90.0,89,90 +Ramp down,0.9827586206896551,0.9047619047619048,0.9421487603305785,63.0,58,63 +Grass walking,0.9746835443037974,0.9746835443037974,0.9746835443037974,79.0,79,79 +Uneven ground walking,1.0,0.9516129032258065,0.9752066115702479,62.0,59,62 +Carry,0.8741496598639455,0.9518518518518518,0.9113475177304965,270.0,294,270 +accuracy,0.8771802325581395,0.8771802325581395,0.8771802325581395,0.8771802325581395,0,0 +macro avg,0.8877657363708958,0.866699909239836,0.8763765087186645,1376.0,0,0 +weighted avg,0.8782931874558302,0.8771802325581395,0.8770754688131871,1376.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c06c8c3229367709c316840cc9ea91a2e393cb9f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9569377990430622,0.9070294784580499,0.9313154831199069,441.0,418,441 +Sit to stand,0.8260869565217391,0.7916666666666666,0.8085106382978723,24.0,23,24 +Stand to sit,0.8275862068965517,0.9056603773584906,0.8648648648648649,53.0,58,53 +Sitting,0.8,0.8888888888888888,0.8421052631578947,27.0,30,27 +Stair up,1.0,1.0,1.0,28.0,28,28 +Stair down,1.0,1.0,1.0,23.0,23,23 +Ramp up,1.0,1.0,1.0,82.0,82,82 +Ramp down,1.0,0.9655172413793104,0.9824561403508771,58.0,56,58 +Grass walking,0.9861111111111112,1.0,0.993006993006993,71.0,72,71 +Uneven ground walking,1.0,0.9642857142857143,0.9818181818181818,56.0,54,56 +Carry,0.8974358974358975,0.9645669291338582,0.9297912713472486,254.0,273,254 +accuracy,0.9400179051029544,0.9400179051029544,0.9400179051029544,0.9400179051029544,0,0 +macro avg,0.935832542818942,0.9443286632882707,0.9394426214512581,1117.0,0,0 +weighted avg,0.9420414790847237,0.9400179051029544,0.9403078039982056,1117.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e2990269ff4dee7a2cf301febce6dd417a1b1d5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject01/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5263157894736842,0.6578947368421053,0.5847953216374269,76.0,95,76 +Sit to stand,0.6122448979591837,0.5769230769230769,0.594059405940594,52.0,49,52 +Stand to sit,0.8,0.6037735849056604,0.6881720430107527,53.0,40,53 +Sitting,0.42857142857142855,0.46153846153846156,0.4444444444444444,26.0,28,26 +Stair up,1.0,0.4,0.5714285714285714,5.0,2,5 +Stair down,0.6666666666666666,0.5,0.5714285714285714,4.0,3,4 +Ramp up,0.7142857142857143,0.625,0.6666666666666666,8.0,7,8 +Ramp down,0.5,0.2,0.2857142857142857,5.0,2,5 +Grass walking,0.8571428571428571,0.75,0.8,8.0,7,8 +Uneven ground walking,1.0,0.8333333333333334,0.9090909090909091,6.0,5,6 +Carry,0.5714285714285714,0.75,0.6486486486486487,16.0,21,16 +accuracy,0.6061776061776062,0.6061776061776062,0.6061776061776062,0.6061776061776062,0,0 +macro avg,0.697877811411646,0.5780421085038762,0.6149498970918973,259.0,0,0 +weighted avg,0.6303495915740814,0.6061776061776062,0.6081154174755465,259.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..96f639eabacc65f13d014a9e8c5a9bb571d56e64 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,454,1,5,0,12,0,1,1,1,5,0 +Sit to stand,2,84,0,3,0,0,0,0,0,0,0 +Stand to sit,13,0,113,14,0,0,0,0,0,0,0 +Sitting,0,8,3,112,0,0,0,0,0,0,0 +Stair up,0,0,0,0,53,0,0,0,0,0,0 +Stair down,0,0,0,0,0,17,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,46,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,64,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,65,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,29,0 +Carry,2,0,0,0,0,0,0,0,0,0,194 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2af7e11f2b33dd6255c9556e9196028dd3b1c049 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,414,0,0,0,9,0,0,0,0,3,0 +Sit to stand,0,49,0,1,0,0,0,0,0,0,0 +Stand to sit,6,0,82,5,0,0,0,0,0,0,0 +Sitting,0,0,0,87,0,0,0,0,0,0,0 +Stair up,0,0,0,0,47,0,0,0,0,0,0 +Stair down,0,0,0,0,0,15,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,44,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,60,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,62,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,26,0 +Carry,1,0,0,0,0,0,0,0,0,0,193 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c2196733c2147e697c3e276dd8f6a57b6cad90d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,40,1,5,0,3,0,1,1,1,2,0 +Sit to stand,2,35,0,2,0,0,0,0,0,0,0 +Stand to sit,7,0,31,9,0,0,0,0,0,0,0 +Sitting,0,8,3,25,0,0,0,0,0,0,0 +Stair up,0,0,0,0,6,0,0,0,0,0,0 +Stair down,0,0,0,0,0,2,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,2,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,3,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,3,0 +Carry,1,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..dd3071e7f66992ea0e28ca5c8a58e8453be91e6f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9438669438669439,0.9458333333333333,0.9448491155046826,480.0,481,480 +Sit to stand,0.9032258064516129,0.9438202247191011,0.9230769230769231,89.0,93,89 +Stand to sit,0.9338842975206612,0.8071428571428572,0.8659003831417624,140.0,121,140 +Sitting,0.8682170542635659,0.9105691056910569,0.8888888888888888,123.0,129,123 +Stair up,0.8153846153846154,1.0,0.8983050847457628,53.0,65,53 +Stair down,1.0,1.0,1.0,17.0,17,17 +Ramp up,0.9787234042553191,0.92,0.9484536082474226,50.0,47,50 +Ramp down,0.9846153846153847,0.9846153846153847,0.9846153846153847,65.0,65,65 +Grass walking,0.9848484848484849,0.9285714285714286,0.9558823529411765,70.0,66,70 +Uneven ground walking,0.8529411764705882,1.0,0.9206349206349206,29.0,34,29 +Carry,1.0,0.9897959183673469,0.9948717948717949,196.0,194,196 +accuracy,0.9382621951219512,0.9382621951219512,0.9382621951219512,0.9382621951219512,0,0 +macro avg,0.9332461061524705,0.9482134774945918,0.9386798596971563,1312.0,0,0 +weighted avg,0.9403993689350834,0.9382621951219512,0.9381697467014767,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a8d279adecdab4e533fcab66d9634291560fdcc9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9741176470588235,0.971830985915493,0.972972972972973,426.0,425,426 +Sit to stand,1.0,0.98,0.98989898989899,50.0,49,50 +Stand to sit,1.0,0.8817204301075269,0.9371428571428572,93.0,82,93 +Sitting,0.9354838709677419,1.0,0.9666666666666667,87.0,93,87 +Stair up,0.8392857142857143,1.0,0.912621359223301,47.0,56,47 +Stair down,1.0,1.0,1.0,15.0,15,15 +Ramp up,1.0,0.9777777777777777,0.9887640449438202,45.0,44,45 +Ramp down,1.0,1.0,1.0,60.0,60,60 +Grass walking,1.0,0.9538461538461539,0.9763779527559056,65.0,62,65 +Uneven ground walking,0.896551724137931,1.0,0.9454545454545454,26.0,29,26 +Carry,1.0,0.9948453608247423,0.9974160206718347,194.0,193,194 +accuracy,0.973826714801444,0.973826714801444,0.973826714801444,0.973826714801444,0,0 +macro avg,0.96776717785911,0.978183700770154,0.971574128157354,1108.0,0,0 +weighted avg,0.9757382561554756,0.973826714801444,0.973978701013517,1108.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..59630098a478b5a9075d2cb5ae41a01f4370e981 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7142857142857143,0.7407407407407407,0.7272727272727273,54.0,56,54 +Sit to stand,0.7954545454545454,0.8974358974358975,0.8433734939759037,39.0,44,39 +Stand to sit,0.7948717948717948,0.6595744680851063,0.7209302325581395,47.0,39,47 +Sitting,0.6944444444444444,0.6944444444444444,0.6944444444444444,36.0,36,36 +Stair up,0.6666666666666666,1.0,0.8,6.0,9,6 +Stair down,1.0,1.0,1.0,2.0,2,2 +Ramp up,0.6666666666666666,0.4,0.5,5.0,3,5 +Ramp down,0.8,0.8,0.8,5.0,5,5 +Grass walking,0.75,0.6,0.6666666666666666,5.0,4,5 +Uneven ground walking,0.6,1.0,0.75,3.0,5,3 +Carry,1.0,0.5,0.6666666666666666,2.0,1,2 +accuracy,0.7450980392156863,0.7450980392156863,0.7450980392156863,0.7450980392156863,0,0 +macro avg,0.7711263483990756,0.7538359591551081,0.7426685665076863,204.0,0,0 +weighted avg,0.749198350668939,0.7450980392156863,0.7414935349739548,204.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..f2903b1a8d6d8f955872733fb0cbe5611b537787 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,451,0,6,0,13,1,1,2,2,5,0 +Sit to stand,5,83,0,2,0,0,0,0,0,0,0 +Stand to sit,11,0,118,11,0,0,0,0,0,0,0 +Sitting,0,8,4,110,0,0,0,0,0,0,0 +Stair up,1,0,0,0,53,0,0,0,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,47,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,64,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,64,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,29,0 +Carry,1,0,0,0,0,0,0,0,0,0,194 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..14f57225aa0816243824642837eff1e2beecca62 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,412,0,1,0,10,0,0,0,1,3,0 +Sit to stand,0,51,0,0,0,0,0,0,0,0,0 +Stand to sit,5,0,87,4,0,0,0,0,0,0,0 +Sitting,0,0,0,85,0,0,0,0,0,0,0 +Stair up,0,0,0,0,49,0,0,0,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,45,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,60,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,62,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,26,0 +Carry,1,0,0,0,0,0,0,0,0,0,192 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..44c0418f29f648724a23a7910736586381b9f3a8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,39,0,5,0,3,1,1,2,1,2,0 +Sit to stand,5,32,0,2,0,0,0,0,0,0,0 +Stand to sit,6,0,31,7,0,0,0,0,0,0,0 +Sitting,0,8,4,25,0,0,0,0,0,0,0 +Stair up,1,0,0,0,4,0,0,0,0,0,0 +Stair down,0,0,0,0,0,2,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,2,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,3,0 +Carry,0,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..55e286c01883413db6a3ecb09a4aee8913c28fc4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.941544885177453,0.9376299376299376,0.9395833333333333,481.0,479,481 +Sit to stand,0.9120879120879121,0.9222222222222223,0.9171270718232044,90.0,91,90 +Stand to sit,0.921875,0.8428571428571429,0.8805970149253731,140.0,128,140 +Sitting,0.8943089430894309,0.9016393442622951,0.8979591836734694,122.0,123,122 +Stair up,0.803030303030303,0.9814814814814815,0.8833333333333333,54.0,66,54 +Stair down,0.9411764705882353,1.0,0.9696969696969697,16.0,17,16 +Ramp up,0.9791666666666666,0.94,0.9591836734693877,50.0,48,50 +Ramp down,0.9696969696969697,0.9846153846153847,0.9770992366412213,65.0,66,65 +Grass walking,0.9696969696969697,0.9142857142857143,0.9411764705882353,70.0,66,70 +Uneven ground walking,0.8529411764705882,1.0,0.9206349206349206,29.0,34,29 +Carry,1.0,0.9948717948717949,0.9974293059125964,195.0,194,195 +accuracy,0.9367378048780488,0.9367378048780488,0.9367378048780488,0.9367378048780488,0,0 +macro avg,0.9259568451367752,0.9472366383841794,0.9348927740029133,1312.0,0,0 +weighted avg,0.9383874780246165,0.9367378048780488,0.936799457437487,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e9c44201fab3efde3a46b890d4e3e8a44c23f33 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.976303317535545,0.9648711943793911,0.9705535924617197,427.0,422,427 +Sit to stand,1.0,1.0,1.0,51.0,51,51 +Stand to sit,0.9886363636363636,0.90625,0.9456521739130435,96.0,88,96 +Sitting,0.9550561797752809,1.0,0.9770114942528736,85.0,89,85 +Stair up,0.8305084745762712,1.0,0.9074074074074074,49.0,59,49 +Stair down,1.0,1.0,1.0,14.0,14,14 +Ramp up,1.0,0.9782608695652174,0.989010989010989,46.0,45,46 +Ramp down,1.0,1.0,1.0,60.0,60,60 +Grass walking,0.9841269841269841,0.9538461538461539,0.96875,65.0,63,65 +Uneven ground walking,0.896551724137931,1.0,0.9454545454545454,26.0,29,26 +Carry,1.0,0.9948186528497409,0.9974025974025974,193.0,192,193 +accuracy,0.9739208633093526,0.9739208633093526,0.9739208633093526,0.9739208633093526,0,0 +macro avg,0.9664711857989432,0.9816406246036821,0.9728402545366525,1112.0,0,0 +weighted avg,0.9756689719673965,0.9739208633093526,0.9741562118941445,1112.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d5a4173d7dd2ba4e7999573720b4e6af3eccd39 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6842105263157895,0.7222222222222222,0.7027027027027027,54.0,57,54 +Sit to stand,0.8,0.8205128205128205,0.810126582278481,39.0,40,39 +Stand to sit,0.775,0.7045454545454546,0.7380952380952381,44.0,40,44 +Sitting,0.7352941176470589,0.6756756756756757,0.704225352112676,37.0,34,37 +Stair up,0.5714285714285714,0.8,0.6666666666666666,5.0,7,5 +Stair down,0.6666666666666666,1.0,0.8,2.0,3,2 +Ramp up,0.6666666666666666,0.5,0.5714285714285714,4.0,3,4 +Ramp down,0.6666666666666666,0.8,0.7272727272727273,5.0,6,5 +Grass walking,0.6666666666666666,0.4,0.5,5.0,3,5 +Uneven ground walking,0.6,1.0,0.75,3.0,5,3 +Carry,1.0,1.0,1.0,2.0,2,2 +accuracy,0.73,0.73,0.73,0.73,0,0 +macro avg,0.7120545347325533,0.7657232884505611,0.724592530959733,200.0,0,0 +weighted avg,0.733885301489017,0.73,0.7283941120728872,200.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..53f5b57fd1d1bc28f615bf28a3a7e2195245047c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,447,1,7,0,17,1,0,0,1,4,1 +Sit to stand,4,82,0,4,0,0,0,0,0,0,0 +Stand to sit,12,0,114,14,0,0,0,0,0,0,0 +Sitting,0,6,4,114,0,0,0,0,0,0,0 +Stair up,1,0,0,0,51,0,0,1,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,48,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,64,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,64,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,31,0 +Carry,2,0,0,0,0,0,0,0,0,0,192 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..140ea91222f17cb480612d88ee1931d1e79e3cff --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,409,0,1,0,13,0,0,0,0,2,0 +Sit to stand,0,51,0,1,0,0,0,0,0,0,0 +Stand to sit,5,0,87,5,0,0,0,0,0,0,0 +Sitting,0,0,0,88,0,0,0,0,0,0,0 +Stair up,0,0,0,0,47,0,0,0,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,45,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,60,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,61,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,28,0 +Carry,1,0,0,0,0,0,0,0,0,0,191 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5976f4c5473812851b48ad56d4993d9ee5c2da65 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,38,1,6,0,4,1,0,0,1,2,1 +Sit to stand,4,31,0,3,0,0,0,0,0,0,0 +Stand to sit,7,0,27,9,0,0,0,0,0,0,0 +Sitting,0,6,4,26,0,0,0,0,0,0,0 +Stair up,1,0,0,0,4,0,0,1,0,0,0 +Stair down,0,0,0,0,0,2,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,3,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,3,0 +Carry,1,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4083091f21b02e5a3210a2caee16141b09030183 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9410526315789474,0.9331941544885177,0.9371069182389937,479.0,475,479 +Sit to stand,0.9213483146067416,0.9111111111111111,0.9162011173184358,90.0,89,90 +Stand to sit,0.912,0.8142857142857143,0.8603773584905661,140.0,125,140 +Sitting,0.8636363636363636,0.9193548387096774,0.890625,124.0,132,124 +Stair up,0.75,0.9622641509433962,0.8429752066115702,53.0,68,53 +Stair down,0.9411764705882353,1.0,0.9696969696969697,16.0,17,16 +Ramp up,1.0,0.96,0.9795918367346939,50.0,48,50 +Ramp down,0.9846153846153847,0.9696969696969697,0.9770992366412213,66.0,65,66 +Grass walking,0.9846153846153847,0.927536231884058,0.9552238805970149,69.0,65,69 +Uneven ground walking,0.8857142857142857,1.0,0.9393939393939394,31.0,35,31 +Carry,0.9948186528497409,0.9896907216494846,0.9922480620155039,194.0,193,194 +accuracy,0.9321646341463414,0.9321646341463414,0.9321646341463414,0.9321646341463414,0,0 +macro avg,0.9253615898368259,0.9442848993426299,0.9327763205217189,1312.0,0,0 +weighted avg,0.9349392758340799,0.9321646341463414,0.9324782068733614,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..116b8a05694ecba3231387b7c07236a7f721dad6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9738095238095238,0.9623529411764706,0.9680473372781065,425.0,420,425 +Sit to stand,1.0,0.9807692307692307,0.9902912621359223,52.0,51,52 +Stand to sit,0.9886363636363636,0.8969072164948454,0.9405405405405406,97.0,88,97 +Sitting,0.9361702127659575,1.0,0.967032967032967,88.0,94,88 +Stair up,0.7833333333333333,1.0,0.8785046728971962,47.0,60,47 +Stair down,1.0,1.0,1.0,14.0,14,14 +Ramp up,1.0,0.9782608695652174,0.989010989010989,46.0,45,46 +Ramp down,1.0,0.9836065573770492,0.9917355371900827,61.0,60,61 +Grass walking,1.0,0.953125,0.976,64.0,61,64 +Uneven ground walking,0.9333333333333333,1.0,0.9655172413793104,28.0,30,28 +Carry,1.0,0.9947916666666666,0.9973890339425587,192.0,191,192 +accuracy,0.9703770197486535,0.9703770197486535,0.9703770197486535,0.9703770197486535,0,0 +macro avg,0.9650257060798647,0.9772557710954072,0.9694608710370612,1114.0,0,0 +weighted avg,0.9731595633888501,0.9703770197486535,0.9708472779806621,1114.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd1976018187628d67ccef77d59f8da70327de02 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6909090909090909,0.7037037037037037,0.6972477064220184,54.0,55,54 +Sit to stand,0.8157894736842105,0.8157894736842105,0.8157894736842105,38.0,38,38 +Stand to sit,0.7297297297297297,0.627906976744186,0.675,43.0,37,43 +Sitting,0.6842105263157895,0.7222222222222222,0.7027027027027027,36.0,38,36 +Stair up,0.5,0.6666666666666666,0.5714285714285714,6.0,8,6 +Stair down,0.6666666666666666,1.0,0.8,2.0,3,2 +Ramp up,1.0,0.75,0.8571428571428571,4.0,3,4 +Ramp down,0.8,0.8,0.8,5.0,5,5 +Grass walking,0.75,0.6,0.6666666666666666,5.0,4,5 +Uneven ground walking,0.6,1.0,0.75,3.0,5,3 +Carry,0.5,0.5,0.5,2.0,2,2 +accuracy,0.7171717171717171,0.7171717171717171,0.7171717171717171,0.7171717171717171,0,0 +macro avg,0.7033914079368625,0.7442080948200899,0.7123616343679116,198.0,0,0 +weighted avg,0.7232443513543994,0.7171717171717171,0.7172431799725378,198.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5a50354218847451487ec3aa008133ec74cf546 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,443,0,9,0,17,1,0,1,2,5,0 +Sit to stand,5,80,0,5,0,0,0,0,0,0,0 +Stand to sit,11,0,116,12,0,0,0,0,0,0,0 +Sitting,0,7,3,113,0,0,0,0,0,0,0 +Stair up,1,0,0,0,52,0,0,0,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,47,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,65,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,63,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,32,0 +Carry,2,0,0,0,0,0,0,0,0,0,192 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b276248892ea7d3a6cfdb4ee54111846543e3cc5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,406,0,2,0,13,0,0,0,1,3,0 +Sit to stand,0,49,0,1,0,0,0,0,0,0,0 +Stand to sit,5,0,83,5,0,0,0,0,0,0,0 +Sitting,0,0,0,87,0,0,0,0,0,0,0 +Stair up,0,0,0,0,47,0,0,0,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,46,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,61,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,62,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,29,0 +Carry,1,0,0,0,0,0,0,0,0,0,191 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..7bc71280bda24c16019c61f49cd54349c806a4eb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,37,0,7,0,4,1,0,1,1,2,0 +Sit to stand,5,31,0,4,0,0,0,0,0,0,0 +Stand to sit,6,0,33,7,0,0,0,0,0,0,0 +Sitting,0,7,3,26,0,0,0,0,0,0,0 +Stair up,1,0,0,0,5,0,0,0,0,0,0 +Stair down,0,0,0,0,0,2,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,1,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,1,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,3,0 +Carry,1,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..2139c700a582957832f345c2d78622fecea89786 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9345991561181435,0.9267782426778243,0.930672268907563,478.0,474,478 +Sit to stand,0.9195402298850575,0.8888888888888888,0.903954802259887,90.0,87,90 +Stand to sit,0.90625,0.8345323741007195,0.8689138576779026,139.0,128,139 +Sitting,0.8692307692307693,0.9186991869918699,0.8932806324110671,123.0,130,123 +Stair up,0.7536231884057971,0.9811320754716981,0.8524590163934426,53.0,69,53 +Stair down,0.9411764705882353,1.0,0.9696969696969697,16.0,17,16 +Ramp up,1.0,0.9038461538461539,0.9494949494949495,52.0,47,52 +Ramp down,0.9848484848484849,0.9848484848484849,0.9848484848484849,66.0,66,66 +Grass walking,0.9692307692307692,0.9130434782608695,0.9402985074626866,69.0,65,69 +Uneven ground walking,0.8648648648648649,1.0,0.927536231884058,32.0,37,32 +Carry,1.0,0.9896907216494846,0.9948186528497409,194.0,192,194 +accuracy,0.9291158536585366,0.9291158536585366,0.9291158536585366,0.9291158536585366,0,0 +macro avg,0.9221239939247383,0.940132691521454,0.9287249430806139,1312.0,0,0 +weighted avg,0.9321147890221266,0.9291158536585366,0.9294936071576226,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2da3435a4700bfc614341b78745b18979861477e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9759615384615384,0.9552941176470588,0.9655172413793104,425.0,416,425 +Sit to stand,1.0,0.98,0.98989898989899,50.0,49,50 +Stand to sit,0.9764705882352941,0.8924731182795699,0.9325842696629213,93.0,85,93 +Sitting,0.9354838709677419,1.0,0.9666666666666667,87.0,93,87 +Stair up,0.7833333333333333,1.0,0.8785046728971962,47.0,60,47 +Stair down,1.0,1.0,1.0,14.0,14,14 +Ramp up,1.0,0.9583333333333334,0.9787234042553191,48.0,46,48 +Ramp down,1.0,1.0,1.0,61.0,61,61 +Grass walking,0.9841269841269841,0.96875,0.9763779527559056,64.0,63,64 +Uneven ground walking,0.90625,1.0,0.9508196721311475,29.0,32,29 +Carry,1.0,0.9947916666666666,0.9973890339425587,192.0,191,192 +accuracy,0.9684684684684685,0.9684684684684685,0.9684684684684685,0.9684684684684685,0,0 +macro avg,0.9601478468295356,0.9772402032660572,0.9669529003263652,1110.0,0,0 +weighted avg,0.9712293324117327,0.9684684684684685,0.9689182082661117,1110.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..efa1f0f10e1045b5421362c178d7f27bb31a9639 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6379310344827587,0.6981132075471698,0.6666666666666666,53.0,58,53 +Sit to stand,0.8157894736842105,0.775,0.7948717948717948,40.0,38,40 +Stand to sit,0.7674418604651163,0.717391304347826,0.7415730337078652,46.0,43,46 +Sitting,0.7027027027027027,0.7222222222222222,0.7123287671232876,36.0,37,36 +Stair up,0.5555555555555556,0.8333333333333334,0.6666666666666666,6.0,9,6 +Stair down,0.6666666666666666,1.0,0.8,2.0,3,2 +Ramp up,1.0,0.25,0.4,4.0,1,4 +Ramp down,0.8,0.8,0.8,5.0,5,5 +Grass walking,0.5,0.2,0.2857142857142857,5.0,2,5 +Uneven ground walking,0.6,1.0,0.75,3.0,5,3 +Carry,1.0,0.5,0.6666666666666666,2.0,1,2 +accuracy,0.7128712871287128,0.7128712871287128,0.7128712871287128,0.7128712871287128,0,0 +macro avg,0.7314624812324554,0.6814600061318683,0.6622261710379304,202.0,0,0 +weighted avg,0.722812937229277,0.7128712871287128,0.7083975497876734,202.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..de1c54e3db8a96002bdc0ede97a205cb982cc0ee --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,438,0,6,0,17,0,0,2,1,5,0 +Sit to stand,1,81,0,7,0,0,0,0,0,0,0 +Stand to sit,15,0,114,13,0,0,0,0,0,0,0 +Sitting,0,7,4,116,0,0,0,0,0,0,0 +Stair up,1,0,0,0,52,0,0,0,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,49,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,66,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,62,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,34,0 +Carry,3,0,0,0,0,0,0,0,0,0,189 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b09d92abe7ed7cc7ef63dffd72fe228465324f8a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,395,0,3,0,15,0,0,0,0,3,0 +Sit to stand,0,43,0,3,0,0,0,0,0,0,0 +Stand to sit,6,0,84,5,0,0,0,0,0,0,0 +Sitting,0,0,0,91,0,0,0,0,0,0,0 +Stair up,0,0,0,0,47,0,0,0,0,0,0 +Stair down,0,0,0,0,0,15,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,47,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,62,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,60,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,32,0 +Carry,2,0,0,0,0,0,0,0,0,0,188 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..990906dca538d45564ab376e164931b837697c87 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,43,0,3,0,2,0,0,2,1,2,0 +Sit to stand,1,38,0,4,0,0,0,0,0,0,0 +Stand to sit,9,0,30,8,0,0,0,0,0,0,0 +Sitting,0,7,4,25,0,0,0,0,0,0,0 +Stair up,1,0,0,0,5,0,0,0,0,0,0 +Stair down,0,0,0,0,0,1,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,2,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,2,0 +Carry,1,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3748416022a466ba3fa4199dbf93887dd1cd994 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9299363057324841,0.9339019189765458,0.9319148936170213,469.0,471,469 +Sit to stand,0.9204545454545454,0.9101123595505618,0.9152542372881356,89.0,88,89 +Stand to sit,0.9193548387096774,0.8028169014084507,0.8571428571428571,142.0,124,142 +Sitting,0.8529411764705882,0.9133858267716536,0.8821292775665399,127.0,136,127 +Stair up,0.7536231884057971,0.9811320754716981,0.8524590163934426,53.0,69,53 +Stair down,1.0,1.0,1.0,16.0,16,16 +Ramp up,1.0,0.9074074074074074,0.9514563106796117,54.0,49,54 +Ramp down,0.9705882352941176,0.9850746268656716,0.9777777777777777,67.0,68,67 +Grass walking,0.9841269841269841,0.9117647058823529,0.9465648854961832,68.0,63,68 +Uneven ground walking,0.8717948717948718,0.9714285714285714,0.918918918918919,35.0,39,35 +Carry,1.0,0.984375,0.9921259842519685,192.0,189,192 +accuracy,0.9275914634146342,0.9275914634146342,0.9275914634146342,0.9275914634146342,0,0 +macro avg,0.9275291041808241,0.9364908539784467,0.9296131053756779,1312.0,0,0 +weighted avg,0.9308974044406989,0.9275914634146342,0.927863764709761,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6d9de8b78aff1baa322a5bc05cf25d340a3529a0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9681372549019608,0.9495192307692307,0.9587378640776699,416.0,408,416 +Sit to stand,1.0,0.9347826086956522,0.9662921348314607,46.0,43,46 +Stand to sit,0.9655172413793104,0.8842105263157894,0.9230769230769231,95.0,87,95 +Sitting,0.9191919191919192,1.0,0.9578947368421052,91.0,99,91 +Stair up,0.7580645161290323,1.0,0.8623853211009175,47.0,62,47 +Stair down,1.0,1.0,1.0,15.0,15,15 +Ramp up,1.0,0.9591836734693877,0.9791666666666666,49.0,47,49 +Ramp down,1.0,1.0,1.0,62.0,62,62 +Grass walking,1.0,0.9523809523809523,0.975609756097561,63.0,60,63 +Uneven ground walking,0.9142857142857143,1.0,0.9552238805970149,32.0,35,32 +Carry,1.0,0.9894736842105263,0.9947089947089947,190.0,188,190 +accuracy,0.9620253164556962,0.9620253164556962,0.9620253164556962,0.9620253164556962,0,0 +macro avg,0.9568360587170853,0.9699591523492309,0.9611905707272104,1106.0,0,0 +weighted avg,0.9656436489438718,0.9620253164556962,0.9626416663380349,1106.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9dca6253d6d9c421cc25c016cb3869a5f3e1e053 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6825396825396826,0.8113207547169812,0.7413793103448276,53.0,63,53 +Sit to stand,0.8444444444444444,0.8837209302325582,0.8636363636363636,43.0,45,43 +Stand to sit,0.8108108108108109,0.6382978723404256,0.7142857142857143,47.0,37,47 +Sitting,0.6756756756756757,0.6944444444444444,0.684931506849315,36.0,37,36 +Stair up,0.7142857142857143,0.8333333333333334,0.7692307692307693,6.0,7,6 +Stair down,1.0,1.0,1.0,1.0,1,1 +Ramp up,1.0,0.4,0.5714285714285714,5.0,2,5 +Ramp down,0.6666666666666666,0.8,0.7272727272727273,5.0,6,5 +Grass walking,0.6666666666666666,0.4,0.5,5.0,3,5 +Uneven ground walking,0.5,0.6666666666666666,0.5714285714285714,3.0,4,3 +Carry,1.0,0.5,0.6666666666666666,2.0,1,2 +accuracy,0.7427184466019418,0.7427184466019418,0.7427184466019418,0.7427184466019418,0,0 +macro avg,0.7782808782808782,0.6934349092485829,0.7100236546494115,206.0,0,0 +weighted avg,0.7542258624782897,0.7427184466019418,0.7393929129085125,206.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..a746d8a31cbbe5d337e6e79120aa8ed5468a447e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,428,0,9,1,15,0,0,2,1,5,0 +Sit to stand,12,64,0,13,0,0,0,0,0,0,0 +Stand to sit,14,1,115,13,0,0,0,0,0,0,0 +Sitting,0,9,7,115,0,0,0,0,0,0,0 +Stair up,0,0,0,0,50,0,0,2,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,52,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,67,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,58,3,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,40,0 +Carry,3,0,0,0,0,0,0,0,0,0,185 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e6aee5b8e20b18f0bb4f8fa2e31ac88a3b2abbf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,389,0,3,0,14,0,0,0,0,2,0 +Sit to stand,0,44,0,6,0,0,0,0,0,0,0 +Stand to sit,7,0,85,2,0,0,0,0,0,0,0 +Sitting,0,4,1,91,0,0,0,0,0,0,0 +Stair up,0,0,0,0,47,0,0,0,0,0,0 +Stair down,0,0,0,0,0,13,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,52,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,63,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,57,2,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,38,0 +Carry,2,0,0,0,0,0,0,0,0,0,184 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ceb0e3b64e4e7bdd5a84b1cd822f76ae14509ac1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,39,0,6,1,1,0,0,2,1,3,0 +Sit to stand,12,20,0,7,0,0,0,0,0,0,0 +Stand to sit,7,1,30,11,0,0,0,0,0,0,0 +Sitting,0,5,6,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,2,0,0,0 +Stair down,0,0,0,0,0,1,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,0,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,1,1,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,2,0 +Carry,1,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..45d6938b637b9dd67cf8aec207ae335376988dbe --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9087048832271762,0.928416485900217,0.9184549356223176,461.0,471,461 +Sit to stand,0.8648648648648649,0.7191011235955056,0.7852760736196319,89.0,74,89 +Stand to sit,0.8778625954198473,0.8041958041958042,0.8394160583941606,143.0,131,143 +Sitting,0.8098591549295775,0.8778625954198473,0.8424908424908425,131.0,142,131 +Stair up,0.7692307692307693,0.9615384615384616,0.8547008547008547,52.0,65,52 +Stair down,1.0,1.0,1.0,14.0,14,14 +Ramp up,1.0,0.896551724137931,0.9454545454545454,58.0,52,58 +Ramp down,0.9436619718309859,0.9710144927536232,0.9571428571428572,69.0,71,69 +Grass walking,0.9830508474576272,0.8787878787878788,0.928,66.0,59,66 +Uneven ground walking,0.8333333333333334,0.975609756097561,0.898876404494382,41.0,48,41 +Carry,1.0,0.9840425531914894,0.9919571045576407,188.0,185,188 +accuracy,0.9054878048780488,0.9054878048780488,0.9054878048780488,0.9054878048780488,0,0 +macro avg,0.9082334927540167,0.9088291705107562,0.9056154251342939,1312.0,0,0 +weighted avg,0.9082869841743308,0.9054878048780488,0.9051933125422806,1312.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..939c6b3d8dadd1295731688ef5c9769534e96bdf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9676616915422885,0.9534313725490197,0.9604938271604938,408.0,402,408 +Sit to stand,0.9166666666666666,0.88,0.8979591836734694,50.0,48,50 +Stand to sit,0.9550561797752809,0.9042553191489362,0.9289617486338798,94.0,89,94 +Sitting,0.9191919191919192,0.9479166666666666,0.9333333333333333,96.0,99,96 +Stair up,0.7704918032786885,1.0,0.8703703703703703,47.0,61,47 +Stair down,1.0,1.0,1.0,13.0,13,13 +Ramp up,1.0,0.9811320754716981,0.9904761904761905,53.0,52,53 +Ramp down,1.0,0.984375,0.9921259842519685,64.0,63,64 +Grass walking,1.0,0.9344262295081968,0.9661016949152542,61.0,57,61 +Uneven ground walking,0.9047619047619048,1.0,0.95,38.0,42,38 +Carry,1.0,0.989247311827957,0.9945945945945946,186.0,184,186 +accuracy,0.9576576576576576,0.9576576576576576,0.9576576576576576,0.9576576576576576,0,0 +macro avg,0.9485300150197045,0.9613439977429524,0.9531288115826867,1110.0,0,0 +weighted avg,0.9605865547377824,0.9576576576576576,0.9582228392035463,1110.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..18b7aede889b1a4ef980bac929fab5ea022182f1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject02/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5652173913043478,0.7358490566037735,0.639344262295082,53.0,69,53 +Sit to stand,0.7692307692307693,0.5128205128205128,0.6153846153846154,39.0,26,39 +Stand to sit,0.7142857142857143,0.6122448979591837,0.6593406593406593,49.0,42,49 +Sitting,0.5581395348837209,0.6857142857142857,0.6153846153846154,35.0,43,35 +Stair up,0.75,0.6,0.6666666666666666,5.0,4,5 +Stair down,1.0,1.0,1.0,1.0,1,1 +Ramp up,0.0,0.0,0.0,5.0,0,5 +Ramp down,0.5,0.8,0.6153846153846154,5.0,8,5 +Grass walking,0.5,0.2,0.2857142857142857,5.0,2,5 +Uneven ground walking,0.3333333333333333,0.6666666666666666,0.4444444444444444,3.0,6,3 +Carry,1.0,0.5,0.6666666666666666,2.0,1,2 +accuracy,0.6188118811881188,0.6188118811881188,0.6188118811881188,0.6188118811881188,0,0 +macro avg,0.6082006130034441,0.5739359472513113,0.5643937119346956,202.0,0,0 +weighted avg,0.6299079478220825,0.6188118811881188,0.6100836349172658,202.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..3e3d1d817b0ae18077c0cc3ff474395db39513ef --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,426,1,4,1,0,3,3,1,0,2,9 +Sit to stand,5,101,0,3,0,0,0,0,0,0,0 +Stand to sit,3,0,99,2,0,0,0,0,0,0,0 +Sitting,0,4,4,126,0,0,0,0,0,0,0 +Stair up,3,0,0,0,52,0,0,1,0,0,0 +Stair down,3,0,0,0,0,52,0,0,0,0,0 +Ramp up,7,0,0,0,0,1,84,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,56,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,88,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,61,0 +Carry,2,0,0,0,0,0,0,0,0,0,256 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..95260a30a3974c7224c1a687b7b298896066c337 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,368,0,1,0,0,0,1,0,0,0,5 +Sit to stand,1,58,0,0,0,0,0,0,0,0,0 +Stand to sit,1,0,55,0,0,0,0,0,0,0,0 +Sitting,0,1,0,99,0,0,0,0,0,0,0 +Stair up,1,0,0,0,47,0,0,0,0,0,0 +Stair down,1,0,0,0,0,47,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,79,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,50,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,82,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,57,0 +Carry,0,0,0,0,0,0,0,0,0,0,246 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..979df46dca9415bac37539dd89bd2a74b05ca230 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,58,1,3,1,0,3,2,1,0,2,4 +Sit to stand,4,43,0,3,0,0,0,0,0,0,0 +Stand to sit,2,0,44,2,0,0,0,0,0,0,0 +Sitting,0,3,4,27,0,0,0,0,0,0,0 +Stair up,2,0,0,0,5,0,0,1,0,0,0 +Stair down,2,0,0,0,0,5,0,0,0,0,0 +Ramp up,3,0,0,0,0,1,5,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,6,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,4,0 +Carry,2,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4930d286107a105484e364d8c5b144789e2bcc1f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9301310043668122,0.9466666666666667,0.9383259911894273,450.0,458,450 +Sit to stand,0.9528301886792453,0.926605504587156,0.9395348837209302,109.0,106,109 +Stand to sit,0.9252336448598131,0.9519230769230769,0.9383886255924171,104.0,107,104 +Sitting,0.9545454545454546,0.9402985074626866,0.9473684210526315,134.0,132,134 +Stair up,1.0,0.9285714285714286,0.9629629629629629,56.0,52,56 +Stair down,0.9285714285714286,0.9454545454545454,0.9369369369369369,55.0,56,55 +Ramp up,0.9655172413793104,0.9130434782608695,0.9385474860335196,92.0,87,92 +Ramp down,0.9655172413793104,0.9824561403508771,0.9739130434782609,57.0,58,57 +Grass walking,1.0,0.9777777777777777,0.9887640449438202,90.0,88,90 +Uneven ground walking,0.9682539682539683,0.9104477611940298,0.9384615384615385,67.0,63,67 +Carry,0.9660377358490566,0.9922480620155039,0.9789674952198852,258.0,265,258 +accuracy,0.951766304347826,0.951766304347826,0.951766304347826,0.951766304347826,0,0 +macro avg,0.9596943552622181,0.9468629953876927,0.9529246754174846,1472.0,0,0 +weighted avg,0.9521705718509735,0.951766304347826,0.9517336646622875,1472.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ee18ce9eeba8b2555cc425b0b62073f13fec262a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.968421052631579,0.9813333333333333,0.9748344370860927,375.0,380,375 +Sit to stand,0.9830508474576272,0.9830508474576272,0.9830508474576272,59.0,59,59 +Stand to sit,0.9821428571428571,0.9821428571428571,0.9821428571428571,56.0,56,56 +Sitting,1.0,0.99,0.9949748743718593,100.0,99,100 +Stair up,1.0,0.9791666666666666,0.9894736842105263,48.0,47,48 +Stair down,1.0,0.9791666666666666,0.9894736842105263,48.0,47,48 +Ramp up,0.9875,0.9518072289156626,0.9693251533742331,83.0,80,83 +Ramp down,1.0,1.0,1.0,50.0,50,50 +Grass walking,1.0,1.0,1.0,82.0,82,82 +Uneven ground walking,1.0,0.9344262295081968,0.9661016949152542,61.0,57,61 +Carry,0.9800796812749004,1.0,0.9899396378269618,246.0,251,246 +accuracy,0.9834437086092715,0.9834437086092715,0.9834437086092715,0.9834437086092715,0,0 +macro avg,0.9910176762279057,0.9800994390628192,0.985392442781449,1208.0,0,0 +weighted avg,0.983625824776877,0.9834437086092715,0.983411603521528,1208.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..437976cedb41a4bd2c5cdea933597885af5f1c1b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7435897435897436,0.7733333333333333,0.7581699346405228,75.0,78,75 +Sit to stand,0.9148936170212766,0.86,0.8865979381443299,50.0,47,50 +Stand to sit,0.8627450980392157,0.9166666666666666,0.8888888888888888,48.0,51,48 +Sitting,0.8181818181818182,0.7941176470588235,0.8059701492537313,34.0,33,34 +Stair up,1.0,0.625,0.7692307692307693,8.0,5,8 +Stair down,0.5555555555555556,0.7142857142857143,0.625,7.0,9,7 +Ramp up,0.7142857142857143,0.5555555555555556,0.625,9.0,7,9 +Ramp down,0.75,0.8571428571428571,0.8,7.0,8,7 +Grass walking,1.0,0.75,0.8571428571428571,8.0,6,8 +Uneven ground walking,0.6666666666666666,0.6666666666666666,0.6666666666666666,6.0,6,6 +Carry,0.7142857142857143,0.8333333333333334,0.7692307692307693,12.0,14,12 +accuracy,0.8068181818181818,0.8068181818181818,0.8068181818181818,0.8068181818181818,0,0 +macro avg,0.7945639934205185,0.7587365249129955,0.7683543611998669,264.0,0,0 +weighted avg,0.8139497993683624,0.8068181818181818,0.8072123181375284,264.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..49edb4894ee396a9a8162c27952e1e5b157f2430 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,431,2,3,1,0,4,3,1,3,2,7 +Sit to stand,2,98,0,1,0,0,0,0,0,0,0 +Stand to sit,4,0,100,3,0,0,0,0,0,0,0 +Sitting,0,10,4,122,0,0,0,0,0,0,0 +Stair up,4,0,0,0,50,0,0,1,0,0,0 +Stair down,2,0,0,0,0,52,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,85,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,57,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,86,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,63,0 +Carry,3,0,0,0,0,0,0,0,0,0,255 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b92b484a974dc7ec85a5431b660e6c340776306 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,371,0,1,0,0,0,1,0,0,0,3 +Sit to stand,0,51,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,57,0,0,0,0,0,0,0,0 +Sitting,0,1,0,102,0,0,0,0,0,0,0 +Stair up,1,0,0,0,46,0,0,0,0,0,0 +Stair down,1,0,0,0,0,46,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,81,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,51,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,80,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,59,0 +Carry,1,0,0,0,0,0,0,0,0,0,245 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..219e769123c66f3c4f884823a31c476834a8db08 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,60,2,2,1,0,4,2,1,3,2,4 +Sit to stand,2,47,0,1,0,0,0,0,0,0,0 +Stand to sit,4,0,43,3,0,0,0,0,0,0,0 +Sitting,0,9,4,20,0,0,0,0,0,0,0 +Stair up,3,0,0,0,4,0,0,1,0,0,0 +Stair down,1,0,0,0,0,6,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,6,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,4,0 +Carry,2,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ccc9ebde28cbb39e93f8d7797ace4cbff70b376 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9389978213507625,0.9431072210065645,0.9410480349344978,457.0,459,457 +Sit to stand,0.8909090909090909,0.9702970297029703,0.9289099526066351,101.0,110,101 +Stand to sit,0.9345794392523364,0.9345794392523364,0.9345794392523364,107.0,107,107 +Sitting,0.9606299212598425,0.8970588235294118,0.9277566539923955,136.0,127,136 +Stair up,1.0,0.9090909090909091,0.9523809523809523,55.0,50,55 +Stair down,0.9285714285714286,0.9629629629629629,0.9454545454545454,54.0,56,54 +Ramp up,0.9659090909090909,0.9340659340659341,0.9497206703910615,91.0,88,91 +Ramp down,0.9661016949152542,1.0,0.9827586206896551,57.0,59,57 +Grass walking,0.9662921348314607,0.9772727272727273,0.9717514124293786,88.0,89,88 +Uneven ground walking,0.9692307692307692,0.9264705882352942,0.9473684210526315,68.0,65,68 +Carry,0.9732824427480916,0.9883720930232558,0.9807692307692307,258.0,262,258 +accuracy,0.9504076086956522,0.9504076086956522,0.9504076086956522,0.9504076086956522,0,0 +macro avg,0.9540458030889206,0.9493888843765788,0.9511361758139381,1472.0,0,0 +weighted avg,0.9510231951481506,0.9504076086956522,0.9503428809820121,1472.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..00f2cfb829e3119a027b2f4b560ae1be2ed8435b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9814814814814815,0.9867021276595744,0.9840848806366048,376.0,378,376 +Sit to stand,0.9807692307692307,1.0,0.9902912621359223,51.0,52,51 +Stand to sit,0.9827586206896551,1.0,0.991304347826087,57.0,58,57 +Sitting,1.0,0.9902912621359223,0.9951219512195122,103.0,102,103 +Stair up,1.0,0.9787234042553191,0.989247311827957,47.0,46,47 +Stair down,1.0,0.9787234042553191,0.989247311827957,47.0,46,47 +Ramp up,0.9878048780487805,0.9759036144578314,0.9818181818181818,83.0,82,83 +Ramp down,1.0,1.0,1.0,51.0,51,51 +Grass walking,1.0,1.0,1.0,80.0,80,80 +Uneven ground walking,1.0,0.9672131147540983,0.9833333333333333,61.0,59,61 +Carry,0.9879032258064516,0.9959349593495935,0.9919028340080972,246.0,248,246 +accuracy,0.9891846921797005,0.9891846921797005,0.9891846921797005,0.9891846921797005,0,0 +macro avg,0.9927924942541455,0.9884992624425144,0.9905774013303321,1202.0,0,0 +weighted avg,0.9892558299600782,0.9891846921797005,0.9891799211248374,1202.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6f9e362e5674f6d98ff5921331dbd0f92968193c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7407407407407407,0.7407407407407407,0.7407407407407407,81.0,81,81 +Sit to stand,0.8103448275862069,0.94,0.8703703703703703,50.0,58,50 +Stand to sit,0.8775510204081632,0.86,0.8686868686868687,50.0,49,50 +Sitting,0.8,0.6060606060606061,0.6896551724137931,33.0,25,33 +Stair up,1.0,0.5,0.6666666666666666,8.0,4,8 +Stair down,0.6,0.8571428571428571,0.7058823529411765,7.0,10,7 +Ramp up,0.6666666666666666,0.5,0.5714285714285714,8.0,6,8 +Ramp down,0.75,1.0,0.8571428571428571,6.0,8,6 +Grass walking,0.6666666666666666,0.75,0.7058823529411765,8.0,9,8 +Uneven ground walking,0.6666666666666666,0.5714285714285714,0.6153846153846154,7.0,6,7 +Carry,0.7142857142857143,0.8333333333333334,0.7692307692307693,12.0,14,12 +accuracy,0.7777777777777778,0.7777777777777778,0.7777777777777778,0.7777777777777778,0,0 +macro avg,0.7539020275473477,0.741700555336919,0.732824667086146,270.0,0,0 +weighted avg,0.7829613122388164,0.7777777777777778,0.7736511056396865,270.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..29c747dd331ce0e12385f482800a05841ac0daf4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,426,1,6,1,2,2,3,0,0,3,5 +Sit to stand,3,105,0,2,0,0,0,0,0,0,0 +Stand to sit,6,0,99,2,0,0,0,0,0,0,0 +Sitting,0,6,6,120,0,0,0,0,0,0,0 +Stair up,2,0,0,0,51,0,0,1,0,0,0 +Stair down,3,0,0,0,0,53,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,85,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,56,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,87,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,63,0 +Carry,4,0,0,0,0,0,0,0,0,0,255 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..618beb44a5bb50d6529c97183f5ef1f52420d777 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,373,0,3,0,0,0,0,0,0,0,2 +Sit to stand,0,58,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,59,0,0,0,0,0,0,0,0 +Sitting,0,2,0,100,0,0,0,0,0,0,0 +Stair up,0,0,0,0,45,0,0,0,0,0,0 +Stair down,1,0,0,0,0,48,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,81,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,51,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,81,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,58,0 +Carry,3,0,0,0,0,0,0,0,0,0,243 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..40676a77f305bb1b26360edc5e52d17a7d8c7a90 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,53,1,3,1,2,2,3,0,0,3,3 +Sit to stand,3,47,0,2,0,0,0,0,0,0,0 +Stand to sit,6,0,40,2,0,0,0,0,0,0,0 +Sitting,0,4,6,20,0,0,0,0,0,0,0 +Stair up,2,0,0,0,6,0,0,1,0,0,0 +Stair down,2,0,0,0,0,5,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,5,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,5,0 +Carry,1,0,0,0,0,0,0,0,0,0,12 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..568601b27fb352f34452d83276e76da2e27e9d99 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9301310043668122,0.9487750556792873,0.9393605292171996,449.0,458,449 +Sit to stand,0.9375,0.9545454545454546,0.9459459459459459,110.0,112,110 +Stand to sit,0.8918918918918919,0.9252336448598131,0.908256880733945,107.0,111,107 +Sitting,0.96,0.9090909090909091,0.933852140077821,132.0,125,132 +Stair up,0.9622641509433962,0.9444444444444444,0.9532710280373832,54.0,53,54 +Stair down,0.9636363636363636,0.9464285714285714,0.954954954954955,56.0,55,56 +Ramp up,0.9659090909090909,0.9444444444444444,0.9550561797752809,90.0,88,90 +Ramp down,0.9824561403508771,0.9824561403508771,0.9824561403508771,57.0,57,57 +Grass walking,1.0,0.9666666666666667,0.9830508474576272,90.0,87,90 +Uneven ground walking,0.9545454545454546,0.9264705882352942,0.9402985074626866,68.0,66,68 +Carry,0.9807692307692307,0.9845559845559846,0.9826589595375722,259.0,260,259 +accuracy,0.9510869565217391,0.9510869565217391,0.9510869565217391,0.9510869565217391,0,0 +macro avg,0.9571912115830106,0.9484647185728861,0.9526511012319357,1472.0,0,0 +weighted avg,0.9515572647879421,0.9510869565217391,0.951162781842074,1472.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..cfd4eeb9943be52b29e72fbf70605c722b6c041c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,426,4,3,0,1,2,6,1,2,1,6 +Sit to stand,2,98,0,2,0,0,0,0,0,0,0 +Stand to sit,7,0,100,3,0,0,0,0,0,0,0 +Sitting,0,4,5,124,0,0,0,0,0,0,0 +Stair up,4,0,0,0,51,0,0,0,0,0,0 +Stair down,4,0,0,0,0,52,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,81,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,57,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,87,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,66,0 +Carry,5,0,0,0,0,0,0,0,0,0,253 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..27018ec83de5d6c522dc42120642fba79ac9bd12 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,369,0,3,0,0,0,2,0,0,0,1 +Sit to stand,0,52,0,0,0,0,0,0,0,0,0 +Stand to sit,2,0,59,0,0,0,0,0,0,0,0 +Sitting,0,2,0,100,0,0,0,0,0,0,0 +Stair up,1,0,0,0,45,0,0,0,0,0,0 +Stair down,1,0,0,0,0,48,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,78,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,53,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,81,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,60,0 +Carry,4,0,0,0,0,0,0,0,0,0,245 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..da37669075ba8786fc8011075d000b04ebccab39 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,57,4,0,0,1,2,4,1,2,1,5 +Sit to stand,2,46,0,2,0,0,0,0,0,0,0 +Stand to sit,5,0,41,3,0,0,0,0,0,0,0 +Sitting,0,2,5,24,0,0,0,0,0,0,0 +Stair up,3,0,0,0,6,0,0,0,0,0,0 +Stair down,3,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,3,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,4,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,6,0 +Carry,1,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9165bf05242e18f317969f5c25c01650802dc7fb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9200863930885529,0.9424778761061947,0.9311475409836065,452.0,463,452 +Sit to stand,0.9245283018867925,0.9607843137254902,0.9423076923076923,102.0,106,102 +Stand to sit,0.9259259259259259,0.9090909090909091,0.9174311926605505,110.0,108,110 +Sitting,0.9612403100775194,0.9323308270676691,0.9465648854961832,133.0,129,133 +Stair up,0.9807692307692307,0.9272727272727272,0.9532710280373832,55.0,52,55 +Stair down,0.9629629629629629,0.9285714285714286,0.9454545454545454,56.0,54,56 +Ramp up,0.9310344827586207,0.9101123595505618,0.9204545454545454,89.0,87,89 +Ramp down,0.9827586206896551,0.9827586206896551,0.9827586206896551,58.0,58,58 +Grass walking,0.9775280898876404,0.9775280898876404,0.9775280898876404,89.0,89,89 +Uneven ground walking,0.9850746268656716,0.9428571428571428,0.9635036496350365,70.0,67,70 +Carry,0.9768339768339769,0.9806201550387597,0.9787234042553191,258.0,259,258 +accuracy,0.9476902173913043,0.9476902173913043,0.9476902173913043,0.9476902173913043,0,0 +macro avg,0.9571584474315045,0.9449458590780163,0.9508313813511052,1472.0,0,0 +weighted avg,0.948088615521844,0.9476902173913043,0.9477284942316019,1472.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad08c86d011c1ebd04b6e5d28ed2dcb8a952fc24 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9634464751958225,0.984,0.9736147757255936,375.0,383,375 +Sit to stand,0.9629629629629629,1.0,0.9811320754716981,52.0,54,52 +Stand to sit,0.9516129032258065,0.9672131147540983,0.959349593495935,61.0,62,61 +Sitting,1.0,0.9803921568627451,0.9900990099009901,102.0,100,102 +Stair up,1.0,0.9782608695652174,0.989010989010989,46.0,45,46 +Stair down,1.0,0.9795918367346939,0.9896907216494846,49.0,48,49 +Ramp up,0.975,0.9512195121951219,0.9629629629629629,82.0,80,82 +Ramp down,1.0,1.0,1.0,53.0,53,53 +Grass walking,1.0,1.0,1.0,81.0,81,81 +Uneven ground walking,1.0,0.967741935483871,0.9836065573770492,62.0,60,62 +Carry,0.9959349593495935,0.9839357429718876,0.98989898989899,249.0,246,249 +accuracy,0.9818481848184818,0.9818481848184818,0.9818481848184818,0.9818481848184818,0,0 +macro avg,0.9862688455212895,0.9811231971425123,0.9835786977721539,1212.0,0,0 +weighted avg,0.9821391866727148,0.9818481848184818,0.9818940609697174,1212.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..30ab8035547dba58d2315f289d26be6968118db8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7125,0.7402597402597403,0.7261146496815286,77.0,80,77 +Sit to stand,0.8846153846153846,0.92,0.9019607843137255,50.0,52,50 +Stand to sit,0.8913043478260869,0.8367346938775511,0.8631578947368421,49.0,46,49 +Sitting,0.8275862068965517,0.7741935483870968,0.8,31.0,29,31 +Stair up,0.8571428571428571,0.6666666666666666,0.75,9.0,7,9 +Stair down,0.6666666666666666,0.5714285714285714,0.6153846153846154,7.0,6,7 +Ramp up,0.42857142857142855,0.42857142857142855,0.42857142857142855,7.0,7,7 +Ramp down,0.8,0.8,0.8,5.0,5,5 +Grass walking,0.75,0.75,0.75,8.0,8,8 +Uneven ground walking,0.8571428571428571,0.75,0.8,8.0,7,8 +Carry,0.6153846153846154,0.8888888888888888,0.7272727272727273,9.0,13,9 +accuracy,0.7884615384615384,0.7884615384615384,0.7884615384615384,0.7884615384615384,0,0 +macro avg,0.753719487658768,0.7387948670981768,0.7420420090873516,260.0,0,0 +weighted avg,0.7930727364022977,0.7884615384615384,0.7888721189862159,260.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a2b6595857658f3233310f7532e1bb5f8faaabf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,369,0,5,0,0,0,1,0,0,0,2 +Sit to stand,0,59,0,1,0,0,0,0,0,0,0 +Stand to sit,1,0,56,1,0,0,0,0,0,0,0 +Sitting,0,2,0,99,0,0,0,0,0,0,0 +Stair up,2,0,0,0,46,0,0,0,0,0,0 +Stair down,1,0,0,0,0,49,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,80,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,54,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,82,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,60,0 +Carry,4,0,0,0,0,0,0,0,0,0,245 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..db921e230728bbc7bae3fbd899113361e5891887 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,56,1,4,0,0,2,2,0,1,2,4 +Sit to stand,4,37,0,3,0,0,0,0,0,0,0 +Stand to sit,8,0,35,4,0,0,0,0,0,0,0 +Sitting,1,5,4,23,0,0,0,0,0,0,0 +Stair up,2,0,0,0,6,0,0,0,0,0,0 +Stair down,4,0,0,0,0,3,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,3,0,0,0,0 +Ramp down,1,0,0,0,1,0,0,5,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,5,0 +Carry,1,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc9452a6ae08489139e2e1f18bd4bd6a07d5e7f1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6588235294117647,0.7777777777777778,0.7133757961783439,72.0,85,72 +Sit to stand,0.8604651162790697,0.8409090909090909,0.8505747126436781,44.0,43,44 +Stand to sit,0.813953488372093,0.7446808510638298,0.7777777777777778,47.0,43,47 +Sitting,0.7666666666666667,0.696969696969697,0.7301587301587301,33.0,30,33 +Stair up,0.8571428571428571,0.75,0.8,8.0,7,8 +Stair down,0.6,0.42857142857142855,0.5,7.0,5,7 +Ramp up,0.6,0.42857142857142855,0.5,7.0,5,7 +Ramp down,1.0,0.7142857142857143,0.8333333333333334,7.0,5,7 +Grass walking,0.8571428571428571,0.75,0.8,8.0,7,8 +Uneven ground walking,0.7142857142857143,0.7142857142857143,0.7142857142857143,7.0,7,7 +Carry,0.6363636363636364,0.875,0.7368421052631579,8.0,11,8 +accuracy,0.75,0.75,0.75,0.75,0,0 +macro avg,0.7604403514240599,0.7019137911304255,0.7233043790582486,248.0,0,0 +weighted avg,0.7582934193250376,0.75,0.7498677762394954,248.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..9d7e4a7e110339fa19a137735ece08e8bd8eae3e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,418,2,11,2,0,1,2,0,1,3,6 +Sit to stand,10,93,0,2,0,0,0,0,0,0,0 +Stand to sit,13,0,81,6,0,0,0,0,0,0,0 +Sitting,1,26,3,106,0,0,0,0,0,0,0 +Stair up,6,0,0,0,50,0,0,1,0,0,0 +Stair down,7,0,0,0,0,52,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,80,0,0,0,0 +Ramp down,2,0,0,0,1,0,0,61,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,86,0,0 +Uneven ground walking,6,0,0,0,0,0,1,0,0,64,0 +Carry,8,0,0,0,0,0,0,0,0,0,252 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e32a55e0da3a9eec21c13d159dc426a8709f7f0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,369,1,6,2,0,0,0,0,0,0,2 +Sit to stand,2,55,0,0,0,0,0,0,0,0,0 +Stand to sit,4,0,48,0,0,0,0,0,0,0,0 +Sitting,0,14,0,86,0,0,0,0,0,0,0 +Stair up,2,0,0,0,48,0,0,0,0,0,0 +Stair down,2,0,0,0,0,50,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,77,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,58,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,81,0,0 +Uneven ground walking,4,0,0,0,0,0,1,0,0,58,0 +Carry,6,0,0,0,0,0,0,0,0,0,244 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e979446d8ac556c259f2f1f99dd27a486a70b9d1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,49,1,5,0,0,1,2,0,1,3,4 +Sit to stand,8,38,0,2,0,0,0,0,0,0,0 +Stand to sit,9,0,33,6,0,0,0,0,0,0,0 +Sitting,1,12,3,20,0,0,0,0,0,0,0 +Stair up,4,0,0,0,2,0,0,1,0,0,0 +Stair down,5,0,0,0,0,2,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,3,0,0,0,0 +Ramp down,2,0,0,0,1,0,0,3,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,6,0 +Carry,2,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..527dc82a7b832b100a09d10663379c64fb485e86 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.872651356993737,0.9372197309417041,0.9037837837837838,446.0,479,446 +Sit to stand,0.768595041322314,0.8857142857142857,0.8230088495575221,105.0,121,105 +Stand to sit,0.8526315789473684,0.81,0.8307692307692308,100.0,95,100 +Sitting,0.9137931034482759,0.7794117647058824,0.8412698412698413,136.0,116,136 +Stair up,0.9803921568627451,0.8771929824561403,0.9259259259259259,57.0,51,57 +Stair down,0.9811320754716981,0.8813559322033898,0.9285714285714286,59.0,53,59 +Ramp up,0.963855421686747,0.9195402298850575,0.9411764705882353,87.0,83,87 +Ramp down,0.9838709677419355,0.953125,0.9682539682539683,64.0,62,64 +Grass walking,0.9885057471264368,0.9885057471264368,0.9885057471264368,87.0,87,87 +Uneven ground walking,0.9552238805970149,0.9014084507042254,0.927536231884058,71.0,67,71 +Carry,0.9767441860465116,0.9692307692307692,0.972972972972973,260.0,258,260 +accuracy,0.9123641304347826,0.9123641304347826,0.9123641304347826,0.9123641304347826,0,0 +macro avg,0.9306723196586166,0.9002458993607174,0.9137976773366732,1472.0,0,0 +weighted avg,0.9156322672774937,0.9123641304347826,0.9125239556184731,1472.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e98bba75b0ac9661a75ea352258d5e4ec196cd6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9413265306122449,0.9710526315789474,0.9559585492227979,380.0,392,380 +Sit to stand,0.7857142857142857,0.9649122807017544,0.8661417322834646,57.0,70,57 +Stand to sit,0.8888888888888888,0.9230769230769231,0.9056603773584906,52.0,54,52 +Sitting,0.9772727272727273,0.86,0.9148936170212766,100.0,88,100 +Stair up,1.0,0.96,0.9795918367346939,50.0,48,50 +Stair down,1.0,0.9615384615384616,0.9803921568627451,52.0,50,52 +Ramp up,0.9871794871794872,0.9625,0.9746835443037974,80.0,78,80 +Ramp down,1.0,1.0,1.0,58.0,58,58 +Grass walking,1.0,1.0,1.0,81.0,81,81 +Uneven ground walking,1.0,0.9206349206349206,0.9586776859504132,63.0,58,63 +Carry,0.991869918699187,0.976,0.9838709677419355,250.0,246,250 +accuracy,0.9599345870809485,0.9599345870809485,0.9599345870809485,0.9599345870809485,0,0 +macro avg,0.9611138034878928,0.9545195652300916,0.956351860679965,1223.0,0,0 +weighted avg,0.9626992064734408,0.9599345870809485,0.9603574263760024,1223.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf5f4b75859f9cf5baa5cc7a301b1134eeeafd7d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject03/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5632183908045977,0.7424242424242424,0.6405228758169934,66.0,87,66 +Sit to stand,0.7450980392156863,0.7916666666666666,0.7676767676767676,48.0,51,48 +Stand to sit,0.8048780487804879,0.6875,0.7415730337078652,48.0,41,48 +Sitting,0.7142857142857143,0.5555555555555556,0.625,36.0,28,36 +Stair up,0.6666666666666666,0.2857142857142857,0.4,7.0,3,7 +Stair down,0.6666666666666666,0.2857142857142857,0.4,7.0,3,7 +Ramp up,0.6,0.42857142857142855,0.5,7.0,5,7 +Ramp down,0.75,0.5,0.6,6.0,4,6 +Grass walking,0.8333333333333334,0.8333333333333334,0.8333333333333334,6.0,6,6 +Uneven ground walking,0.6666666666666666,0.75,0.7058823529411765,8.0,9,8 +Carry,0.6666666666666666,0.8,0.7272727272727273,10.0,12,10 +accuracy,0.678714859437751,0.678714859437751,0.678714859437751,0.678714859437751,0,0 +macro avg,0.6979527448260442,0.6054981634527089,0.6310237355226239,249.0,0,0 +weighted avg,0.6920437151186299,0.678714859437751,0.6740493428379142,249.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..2abce5559b72ae558e2fbb3f4d86e1b808892f6c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,435,2,5,2,22,0,2,0,2,0,1 +Sit to stand,6,44,0,8,0,0,0,0,0,0,0 +Stand to sit,6,0,57,6,0,0,0,0,0,0,0 +Sitting,0,8,3,209,0,0,0,0,0,0,0 +Stair up,0,0,0,0,66,0,0,0,0,0,0 +Stair down,0,0,0,0,0,18,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,30,0,0,0,0 +Ramp down,3,0,0,0,0,0,1,90,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,70,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,12,0 +Carry,2,0,0,0,0,0,0,0,0,0,103 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a90a46a5d8d02459a7bc4d449fb56fe92d8253f0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,403,0,3,2,18,0,0,0,0,0,0 +Sit to stand,2,27,0,1,0,0,0,0,0,0,0 +Stand to sit,2,0,35,1,0,0,0,0,0,0,0 +Sitting,0,5,0,192,0,0,0,0,0,0,0 +Stair up,0,0,0,0,56,0,0,0,0,0,0 +Stair down,0,0,0,0,0,15,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,0,0,0,0,0,0,1,84,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,64,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,11,0 +Carry,1,0,0,0,0,0,0,0,0,0,100 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d73df4d0afb953d90a6a42cf2a187728268d8ede --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,32,2,2,0,4,0,2,0,2,0,1 +Sit to stand,4,17,0,7,0,0,0,0,0,0,0 +Stand to sit,4,0,22,5,0,0,0,0,0,0,0 +Sitting,0,3,3,17,0,0,0,0,0,0,0 +Stair up,0,0,0,0,10,0,0,0,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,6,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,1,0 +Carry,1,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cf29a9001a7051eb4263b96e1faaa1862d87fbeb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9560439560439561,0.9235668789808917,0.9395248380129589,471.0,455,471 +Sit to stand,0.8148148148148148,0.7586206896551724,0.7857142857142857,58.0,54,58 +Stand to sit,0.8769230769230769,0.8260869565217391,0.8507462686567164,69.0,65,69 +Sitting,0.9288888888888889,0.95,0.9393258426966292,220.0,225,220 +Stair up,0.75,1.0,0.8571428571428571,66.0,88,66 +Stair down,1.0,1.0,1.0,18.0,18,18 +Ramp up,0.9090909090909091,0.967741935483871,0.9375,31.0,33,31 +Ramp down,1.0,0.9574468085106383,0.9782608695652174,94.0,90,94 +Grass walking,0.9722222222222222,0.9859154929577465,0.9790209790209791,71.0,72,71 +Uneven ground walking,1.0,0.9230769230769231,0.96,13.0,12,13 +Carry,0.9903846153846154,0.9809523809523809,0.9856459330143541,105.0,104,105 +accuracy,0.9325657894736842,0.9325657894736842,0.9325657894736842,0.9325657894736842,0,0 +macro avg,0.927124407578953,0.9339461878308511,0.9284438067112724,1216.0,0,0 +weighted avg,0.9359532820675913,0.9325657894736842,0.9329889539421544,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8d4905997a95e23a890610a045f5b6b2f6ed3a6d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9877450980392157,0.9460093896713615,0.9664268585131894,426.0,408,426 +Sit to stand,0.84375,0.9,0.8709677419354839,30.0,32,30 +Stand to sit,0.9210526315789473,0.9210526315789473,0.9210526315789473,38.0,38,38 +Sitting,0.9795918367346939,0.9746192893401016,0.9770992366412213,197.0,196,197 +Stair up,0.7567567567567568,1.0,0.8615384615384616,56.0,74,56 +Stair down,1.0,1.0,1.0,15.0,15,15 +Ramp up,0.9642857142857143,1.0,0.9818181818181818,27.0,28,27 +Ramp down,1.0,0.9882352941176471,0.9940828402366864,85.0,84,85 +Grass walking,1.0,1.0,1.0,64.0,64,64 +Uneven ground walking,1.0,1.0,1.0,11.0,11,11 +Carry,1.0,0.9900990099009901,0.9950248756218906,101.0,100,101 +accuracy,0.9657142857142857,0.9657142857142857,0.9657142857142857,0.9657142857142857,0,0 +macro avg,0.9502892761268481,0.9745468740553679,0.9607282570803694,1050.0,0,0 +weighted avg,0.9699862821576507,0.9657142857142857,0.9667287830630267,1050.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..547c78f8829e45f302131302e9aea2b59ca4b828 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6808510638297872,0.7111111111111111,0.6956521739130435,45.0,47,45 +Sit to stand,0.7727272727272727,0.6071428571428571,0.68,28.0,22,28 +Stand to sit,0.8148148148148148,0.7096774193548387,0.7586206896551724,31.0,27,31 +Sitting,0.5862068965517241,0.7391304347826086,0.6538461538461539,23.0,29,23 +Stair up,0.7142857142857143,1.0,0.8333333333333334,10.0,14,10 +Stair down,1.0,1.0,1.0,3.0,3,3 +Ramp up,0.6,0.75,0.6666666666666666,4.0,5,4 +Ramp down,1.0,0.6666666666666666,0.8,9.0,6,9 +Grass walking,0.75,0.8571428571428571,0.8,7.0,8,7 +Uneven ground walking,1.0,0.5,0.6666666666666666,2.0,1,2 +Carry,0.75,0.75,0.75,4.0,4,4 +accuracy,0.7228915662650602,0.7228915662650602,0.7228915662650602,0.7228915662650602,0,0 +macro avg,0.7880805238372104,0.7537155769273579,0.7549805167346396,166.0,0,0 +weighted avg,0.739816485129579,0.7228915662650602,0.7230926751638083,166.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d496a458573a5bd53ecd5bb7682181e92b63399f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,396,0,3,3,18,0,0,0,0,0,0 +Sit to stand,2,28,0,1,0,0,0,0,0,0,0 +Stand to sit,2,0,34,0,0,0,0,0,0,0,0 +Sitting,0,7,0,191,0,0,0,0,0,0,0 +Stair up,0,0,0,0,57,0,0,0,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,1,0,0,0,0,0,1,81,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,66,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,11,0 +Carry,1,0,0,0,0,0,0,0,0,0,101 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d82682ebe8908c9efcc192b1d8d4ad87662a9297 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,36,2,2,0,5,0,2,2,1,0,0 +Sit to stand,2,22,0,5,0,0,0,0,0,0,0 +Stand to sit,5,0,21,3,0,0,0,0,0,0,0 +Sitting,0,0,5,18,0,0,0,0,0,0,0 +Stair up,0,0,0,0,9,0,0,0,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0,0 +Ramp down,1,0,0,0,2,0,0,6,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,1,0 +Carry,1,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..53944eaa1ba10879aee183c075146535b8891899 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.96,0.9191489361702128,0.9391304347826087,470.0,450,470 +Sit to stand,0.847457627118644,0.8333333333333334,0.8403361344537815,60.0,59,60 +Stand to sit,0.8461538461538461,0.8461538461538461,0.8461538461538461,65.0,65,65 +Sitting,0.9457013574660633,0.9457013574660633,0.9457013574660633,221.0,221,221 +Stair up,0.7252747252747253,1.0,0.8407643312101911,66.0,91,66 +Stair down,1.0,1.0,1.0,19.0,19,19 +Ramp up,0.9090909090909091,0.967741935483871,0.9375,31.0,33,31 +Ramp down,0.9775280898876404,0.9456521739130435,0.9613259668508287,92.0,89,92 +Grass walking,0.9863013698630136,0.9863013698630136,0.9863013698630136,73.0,73,73 +Uneven ground walking,1.0,0.9230769230769231,0.96,13.0,12,13 +Carry,1.0,0.9811320754716981,0.9904761904761905,106.0,104,106 +accuracy,0.9342105263157895,0.9342105263157895,0.9342105263157895,0.9342105263157895,0,0 +macro avg,0.9270461749868038,0.940749268266546,0.9316081482960477,1216.0,0,0 +weighted avg,0.9391694012719832,0.9342105263157895,0.9352605949142089,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e59d0dc8b0cca8542284d19dbaadbe936d4ac88b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9850746268656716,0.9428571428571428,0.9635036496350365,420.0,402,420 +Sit to stand,0.8,0.9032258064516129,0.8484848484848485,31.0,35,31 +Stand to sit,0.918918918918919,0.9444444444444444,0.9315068493150684,36.0,37,36 +Sitting,0.9794871794871794,0.9646464646464646,0.9720101781170484,198.0,195,198 +Stair up,0.76,1.0,0.8636363636363636,57.0,75,57 +Stair down,1.0,1.0,1.0,16.0,16,16 +Ramp up,0.9642857142857143,1.0,0.9818181818181818,27.0,28,27 +Ramp down,1.0,0.9759036144578314,0.9878048780487805,83.0,81,83 +Grass walking,1.0,1.0,1.0,66.0,66,66 +Uneven ground walking,1.0,1.0,1.0,11.0,11,11 +Carry,1.0,0.9901960784313726,0.9950738916256158,102.0,101,102 +accuracy,0.9627507163323782,0.9627507163323782,0.9627507163323782,0.9627507163323782,0,0 +macro avg,0.9461605854143168,0.9746612319353517,0.9585308036982677,1047.0,0,0 +weighted avg,0.9674370584420621,0.9627507163323782,0.9638858934598749,1047.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..56c24461a65d8510c4c116d02df3eb34934c38e7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.75,0.72,0.7346938775510204,50.0,48,50 +Sit to stand,0.9166666666666666,0.7586206896551724,0.8301886792452831,29.0,24,29 +Stand to sit,0.75,0.7241379310344828,0.7368421052631579,29.0,28,29 +Sitting,0.6923076923076923,0.782608695652174,0.7346938775510204,23.0,26,23 +Stair up,0.5625,1.0,0.72,9.0,16,9 +Stair down,1.0,1.0,1.0,3.0,3,3 +Ramp up,0.6,0.75,0.6666666666666666,4.0,5,4 +Ramp down,0.75,0.6666666666666666,0.7058823529411765,9.0,8,9 +Grass walking,0.8571428571428571,0.8571428571428571,0.8571428571428571,7.0,7,7 +Uneven ground walking,1.0,0.5,0.6666666666666666,2.0,1,2 +Carry,1.0,0.75,0.8571428571428571,4.0,3,4 +accuracy,0.757396449704142,0.757396449704142,0.757396449704142,0.757396449704142,0,0 +macro avg,0.8071470196470197,0.7735615309228501,0.7736290854700641,169.0,0,0 +weighted avg,0.7749639660142619,0.757396449704142,0.7593967953669307,169.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..138a3124a3577d38956be708fada721014f3b87f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,425,1,3,3,29,0,2,0,1,0,1 +Sit to stand,5,47,0,8,0,0,0,0,0,0,0 +Stand to sit,8,1,59,3,0,0,0,0,0,0,0 +Sitting,0,14,3,204,0,0,0,0,0,0,0 +Stair up,0,0,0,0,65,0,0,0,0,0,0 +Stair down,0,0,0,0,0,19,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,30,0,0,0,0 +Ramp down,4,0,0,0,0,0,1,88,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,71,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,13,0 +Carry,0,0,0,0,0,0,0,0,0,0,105 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f6c477ace5f05e05f7122ba4602f103f450e6b83 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,391,0,3,3,23,0,0,0,0,0,0 +Sit to stand,1,28,0,2,0,0,0,0,0,0,0 +Stand to sit,2,0,36,1,0,0,0,0,0,0,0 +Sitting,0,9,0,188,0,0,0,0,0,0,0 +Stair up,0,0,0,0,56,0,0,0,0,0,0 +Stair down,0,0,0,0,0,16,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,1,0,0,0,0,0,1,82,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,67,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,11,0 +Carry,0,0,0,0,0,0,0,0,0,0,101 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b4bd01b2fd6de2e554e9213b864374bdf791ecc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,34,1,0,0,6,0,2,0,1,0,1 +Sit to stand,4,19,0,6,0,0,0,0,0,0,0 +Stand to sit,6,1,23,2,0,0,0,0,0,0,0 +Sitting,0,5,3,16,0,0,0,0,0,0,0 +Stair up,0,0,0,0,9,0,0,0,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,6,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,2,0 +Carry,0,0,0,0,0,0,0,0,0,0,4 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd15a54dd8bd171c6081684124f006335da5e3df --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9550561797752809,0.9139784946236559,0.9340659340659341,465.0,445,465 +Sit to stand,0.746031746031746,0.7833333333333333,0.7642276422764228,60.0,63,60 +Stand to sit,0.9076923076923077,0.8309859154929577,0.8676470588235294,71.0,65,71 +Sitting,0.9357798165137615,0.9230769230769231,0.929384965831435,221.0,218,221 +Stair up,0.6914893617021277,1.0,0.8176100628930818,65.0,94,65 +Stair down,1.0,1.0,1.0,19.0,19,19 +Ramp up,0.9090909090909091,0.967741935483871,0.9375,31.0,33,31 +Ramp down,1.0,0.946236559139785,0.9723756906077348,93.0,88,93 +Grass walking,0.9861111111111112,0.9726027397260274,0.9793103448275862,73.0,72,73 +Uneven ground walking,1.0,1.0,1.0,13.0,13,13 +Carry,0.9905660377358491,1.0,0.995260663507109,105.0,106,105 +accuracy,0.9259868421052632,0.9259868421052632,0.9259868421052632,0.9259868421052632,0,0 +macro avg,0.9201652245139176,0.9398141728069596,0.9270347602575303,1216.0,0,0 +weighted avg,0.9327637281405735,0.9259868421052632,0.9274847488961285,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ab9975bc56a2c78d88581287e49057d202b08a1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9898734177215189,0.930952380952381,0.9595092024539877,420.0,395,420 +Sit to stand,0.7567567567567568,0.9032258064516129,0.8235294117647058,31.0,37,31 +Stand to sit,0.9230769230769231,0.9230769230769231,0.9230769230769231,39.0,39,39 +Sitting,0.9690721649484536,0.9543147208121827,0.9616368286445013,197.0,194,197 +Stair up,0.7088607594936709,1.0,0.8296296296296296,56.0,79,56 +Stair down,1.0,1.0,1.0,16.0,16,16 +Ramp up,0.9642857142857143,1.0,0.9818181818181818,27.0,28,27 +Ramp down,1.0,0.9761904761904762,0.9879518072289156,84.0,82,84 +Grass walking,1.0,1.0,1.0,67.0,67,67 +Uneven ground walking,1.0,1.0,1.0,11.0,11,11 +Carry,1.0,1.0,1.0,101.0,101,101 +accuracy,0.9561487130600572,0.9561487130600572,0.9561487130600572,0.9561487130600572,0,0 +macro avg,0.9374477942075488,0.9716145734075977,0.951559271328804,1049.0,0,0 +weighted avg,0.9636276722733105,0.9561487130600572,0.9579809666481665,1049.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b0b9f4e376a5f06eae5ed02b9e4f158b30d05642 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.68,0.7555555555555555,0.7157894736842105,45.0,50,45 +Sit to stand,0.7307692307692307,0.6551724137931034,0.6909090909090909,29.0,26,29 +Stand to sit,0.8846153846153846,0.71875,0.7931034482758621,32.0,26,32 +Sitting,0.6666666666666666,0.6666666666666666,0.6666666666666666,24.0,24,24 +Stair up,0.6,1.0,0.75,9.0,15,9 +Stair down,1.0,1.0,1.0,3.0,3,3 +Ramp up,0.6,0.75,0.6666666666666666,4.0,5,4 +Ramp down,1.0,0.6666666666666666,0.8,9.0,6,9 +Grass walking,0.8,0.6666666666666666,0.7272727272727273,6.0,5,6 +Uneven ground walking,1.0,1.0,1.0,2.0,2,2 +Carry,0.8,1.0,0.8888888888888888,4.0,5,4 +accuracy,0.7365269461077845,0.7365269461077845,0.7365269461077845,0.7365269461077845,0,0 +macro avg,0.7965501165501165,0.8072252699407872,0.7908451783967375,167.0,0,0 +weighted avg,0.7538922155688622,0.7365269461077845,0.737497358579876,167.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..798af255142b83bf1999abb21dbfbccbdd582d45 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,423,3,6,3,25,1,2,0,1,0,0 +Sit to stand,4,42,0,10,0,0,0,0,0,0,0 +Stand to sit,10,0,52,5,0,0,0,0,0,0,0 +Sitting,0,14,5,203,0,0,0,0,0,0,0 +Stair up,0,0,0,0,68,0,0,0,0,0,0 +Stair down,0,0,0,0,0,20,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,31,0,0,0,0 +Ramp down,1,0,0,0,0,0,1,90,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,72,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,1,14,0 +Carry,1,0,0,0,0,0,0,0,0,0,105 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bbe7b3d1dc962db1d2351bb4d151f84f911fcbbd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,389,0,3,3,19,0,0,0,1,0,0 +Sit to stand,1,25,0,2,0,0,0,0,0,0,0 +Stand to sit,4,0,31,1,0,0,0,0,0,0,0 +Sitting,0,11,0,188,0,0,0,0,0,0,0 +Stair up,0,0,0,0,59,0,0,0,0,0,0 +Stair down,0,0,0,0,0,17,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,0,0,0,0,0,0,1,82,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,67,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,13,0 +Carry,0,0,0,0,0,0,0,0,0,0,102 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..949b60ecbad7307c38180f7caae7ab527d53dafb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,34,3,3,0,6,1,2,0,0,0,0 +Sit to stand,3,17,0,8,0,0,0,0,0,0,0 +Stand to sit,6,0,21,4,0,0,0,0,0,0,0 +Sitting,0,3,5,15,0,0,0,0,0,0,0 +Stair up,0,0,0,0,9,0,0,0,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,4,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,8,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,1,1,0 +Carry,1,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c3ed8cb9e6078d3b35b14f01145d3e220751b3c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9570135746606335,0.9116379310344828,0.9337748344370861,464.0,442,464 +Sit to stand,0.711864406779661,0.75,0.7304347826086957,56.0,59,56 +Stand to sit,0.8253968253968254,0.7761194029850746,0.8,67.0,63,67 +Sitting,0.918552036199095,0.9144144144144144,0.9164785553047404,222.0,221,222 +Stair up,0.7311827956989247,1.0,0.84472049689441,68.0,93,68 +Stair down,0.9523809523809523,1.0,0.975609756097561,20.0,21,20 +Ramp up,0.9117647058823529,1.0,0.9538461538461539,31.0,34,31 +Ramp down,1.0,0.9782608695652174,0.989010989010989,92.0,90,92 +Grass walking,0.972972972972973,0.96,0.9664429530201343,75.0,74,75 +Uneven ground walking,1.0,0.9333333333333333,0.9655172413793104,15.0,14,15 +Carry,1.0,0.9905660377358491,0.995260663507109,106.0,105,106 +accuracy,0.9210526315789473,0.9210526315789473,0.9210526315789473,0.9210526315789473,0,0 +macro avg,0.9073752972701289,0.9285756353698521,0.9155542205551082,1216.0,0,0 +weighted avg,0.9261057341862279,0.9210526315789473,0.9220469994905539,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..adfb95c8650ab54969665e0207552767e710f325 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9848101265822785,0.9373493975903614,0.9604938271604938,415.0,395,415 +Sit to stand,0.6944444444444444,0.8928571428571429,0.78125,28.0,36,28 +Stand to sit,0.9117647058823529,0.8611111111111112,0.8857142857142857,36.0,34,36 +Sitting,0.9690721649484536,0.9447236180904522,0.9567430025445293,199.0,194,199 +Stair up,0.7564102564102564,1.0,0.8613138686131386,59.0,78,59 +Stair down,1.0,1.0,1.0,17.0,17,17 +Ramp up,0.9642857142857143,1.0,0.9818181818181818,27.0,28,27 +Ramp down,1.0,0.9879518072289156,0.9939393939393939,83.0,82,83 +Grass walking,0.9852941176470589,0.9852941176470589,0.9852941176470589,68.0,68,68 +Uneven ground walking,1.0,1.0,1.0,13.0,13,13 +Carry,1.0,1.0,1.0,102.0,102,102 +accuracy,0.9551098376313276,0.9551098376313276,0.9551098376313276,0.9551098376313276,0,0 +macro avg,0.9332801391091418,0.9644806540477311,0.9460515161306439,1047.0,0,0 +weighted avg,0.9612926997387932,0.9551098376313276,0.9566199512109993,1047.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..878f8f3aaf7e35d65f7356a19d0962464d5c0427 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.723404255319149,0.6938775510204082,0.7083333333333334,49.0,47,49 +Sit to stand,0.7391304347826086,0.6071428571428571,0.6666666666666666,28.0,23,28 +Stand to sit,0.7241379310344828,0.6774193548387096,0.7,31.0,29,31 +Sitting,0.5555555555555556,0.6521739130434783,0.6,23.0,27,23 +Stair up,0.6,1.0,0.75,9.0,15,9 +Stair down,0.75,1.0,0.8571428571428571,3.0,4,3 +Ramp up,0.6666666666666666,1.0,0.8,4.0,6,4 +Ramp down,1.0,0.8888888888888888,0.9411764705882353,9.0,8,9 +Grass walking,0.8333333333333334,0.7142857142857143,0.7692307692307693,7.0,6,7 +Uneven ground walking,1.0,0.5,0.6666666666666666,2.0,1,2 +Carry,1.0,0.75,0.8571428571428571,4.0,3,4 +accuracy,0.7100591715976331,0.7100591715976331,0.7100591715976331,0.7100591715976331,0,0 +macro avg,0.7811116524265269,0.7712534799290961,0.7560326927973988,169.0,0,0 +weighted avg,0.7249616232212903,0.7100591715976331,0.7101392719126794,169.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..147f0f140b1778b7a2ac5f453940d365abeedd0d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,413,3,6,4,24,0,2,0,3,0,1 +Sit to stand,5,42,0,12,0,0,0,0,0,0,0 +Stand to sit,9,0,55,4,0,0,0,0,0,0,0 +Sitting,0,18,5,198,0,0,0,0,0,0,0 +Stair up,0,0,0,0,71,0,0,0,0,0,0 +Stair down,0,0,0,0,0,20,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,30,0,0,0,0 +Ramp down,2,0,0,0,0,0,1,88,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,74,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,1,15,0 +Carry,0,0,0,0,0,0,0,0,0,0,105 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7c7af3855ea8c73edfde4ef49b9c254bf48a6909 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,383,0,5,3,21,0,0,0,1,0,0 +Sit to stand,1,23,0,6,0,0,0,0,0,0,0 +Stand to sit,6,0,30,1,0,0,0,0,0,0,0 +Sitting,0,13,0,184,0,0,0,0,0,0,0 +Stair up,0,0,0,0,62,0,0,0,0,0,0 +Stair down,0,0,0,0,0,17,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,0,0,0,0,0,0,1,82,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,69,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,15,0 +Carry,0,0,0,0,0,0,0,0,0,0,101 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..39dbd121e9ee8da835d6b273d804e0453e81188f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,30,3,1,1,3,0,2,0,2,0,1 +Sit to stand,4,19,0,6,0,0,0,0,0,0,0 +Stand to sit,3,0,25,3,0,0,0,0,0,0,0 +Sitting,0,5,5,14,0,0,0,0,0,0,0 +Stair up,0,0,0,0,9,0,0,0,0,0,0 +Stair down,0,0,0,0,0,3,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,6,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,1,0,0 +Carry,0,0,0,0,0,0,0,0,0,0,4 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..547a415827f718e89d4eafbe099e62faded96fea --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9516129032258065,0.9057017543859649,0.9280898876404494,456.0,434,456 +Sit to stand,0.6666666666666666,0.711864406779661,0.6885245901639344,59.0,63,59 +Stand to sit,0.8333333333333334,0.8088235294117647,0.8208955223880597,68.0,66,68 +Sitting,0.908256880733945,0.8959276018099548,0.9020501138952164,221.0,218,221 +Stair up,0.7473684210526316,1.0,0.8554216867469879,71.0,95,71 +Stair down,1.0,1.0,1.0,20.0,20,20 +Ramp up,0.9090909090909091,0.967741935483871,0.9375,31.0,33,31 +Ramp down,1.0,0.967032967032967,0.9832402234636871,91.0,88,91 +Grass walking,0.9487179487179487,0.961038961038961,0.9548387096774194,77.0,78,77 +Uneven ground walking,1.0,0.8823529411764706,0.9375,17.0,15,17 +Carry,0.9905660377358491,1.0,0.995260663507109,105.0,106,105 +accuracy,0.9136513157894737,0.9136513157894737,0.9136513157894737,0.9136513157894737,0,0 +macro avg,0.905055736414281,0.9182258270108741,0.9093928543166239,1216.0,0,0 +weighted avg,0.9185575218776898,0.9136513157894737,0.9146715959577199,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..53d332ba15dd2d057f8efd94c5f165c906011b5a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.979539641943734,0.927360774818402,0.9527363184079602,413.0,391,413 +Sit to stand,0.6388888888888888,0.7666666666666667,0.696969696969697,30.0,36,30 +Stand to sit,0.8571428571428571,0.8108108108108109,0.8333333333333334,37.0,35,37 +Sitting,0.9484536082474226,0.934010152284264,0.9411764705882353,197.0,194,197 +Stair up,0.7469879518072289,1.0,0.8551724137931035,62.0,83,62 +Stair down,1.0,1.0,1.0,17.0,17,17 +Ramp up,0.9642857142857143,1.0,0.9818181818181818,27.0,28,27 +Ramp down,1.0,0.9879518072289156,0.9939393939393939,83.0,82,83 +Grass walking,0.9857142857142858,0.9857142857142858,0.9857142857142858,70.0,70,70 +Uneven ground walking,1.0,1.0,1.0,15.0,15,15 +Carry,1.0,1.0,1.0,101.0,101,101 +accuracy,0.9439163498098859,0.9439163498098859,0.9439163498098859,0.9439163498098859,0,0 +macro avg,0.9200920861845574,0.9465922270475768,0.9309872813240173,1052.0,0,0 +weighted avg,0.9502140234089538,0.9439163498098859,0.9454952839467939,1052.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..09bdc55fb3dd074aca43ee12e41c503b8d839aff --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6976744186046512,0.6976744186046512,0.6976744186046512,43.0,43,43 +Sit to stand,0.7037037037037037,0.6551724137931034,0.6785714285714286,29.0,27,29 +Stand to sit,0.8064516129032258,0.8064516129032258,0.8064516129032258,31.0,31,31 +Sitting,0.5833333333333334,0.5833333333333334,0.5833333333333334,24.0,24,24 +Stair up,0.75,1.0,0.8571428571428571,9.0,12,9 +Stair down,1.0,1.0,1.0,3.0,3,3 +Ramp up,0.6,0.75,0.6666666666666666,4.0,5,4 +Ramp down,1.0,0.75,0.8571428571428571,8.0,6,8 +Grass walking,0.625,0.7142857142857143,0.6666666666666666,7.0,8,7 +Uneven ground walking,0.0,0.0,0.0,2.0,0,2 +Carry,0.8,1.0,0.8888888888888888,4.0,5,4 +accuracy,0.7195121951219512,0.7195121951219512,0.7195121951219512,0.7195121951219512,0,0 +macro avg,0.6878330062313558,0.7233561357200026,0.7002307936291433,164.0,0,0 +weighted avg,0.7142219963866305,0.7195121951219512,0.7142615176151762,164.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..1557fea127593cb3432d1ad98791555faf0d64ea --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,382,2,5,8,25,0,9,0,11,0,3 +Sit to stand,3,40,1,16,0,0,0,0,0,0,0 +Stand to sit,16,1,44,5,0,0,0,0,0,0,0 +Sitting,5,24,2,190,0,0,0,0,0,0,0 +Stair up,1,0,0,0,73,0,0,1,0,0,0 +Stair down,2,0,0,0,0,20,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,29,0,0,0,0 +Ramp down,0,0,0,0,0,0,1,86,0,0,0 +Grass walking,3,0,0,0,0,0,1,0,79,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,1,20,0 +Carry,1,0,0,0,0,0,0,0,0,0,104 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a8eb8d3d651833c4ea1f32712ea99c32360d11c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,353,0,4,7,22,0,6,0,8,0,1 +Sit to stand,1,22,0,8,0,0,0,0,0,0,0 +Stand to sit,6,0,30,1,0,0,0,0,0,0,0 +Sitting,2,18,0,177,0,0,0,0,0,0,0 +Stair up,0,0,0,0,67,0,0,0,0,0,0 +Stair down,0,0,0,0,0,19,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,27,0,0,0,0 +Ramp down,0,0,0,0,0,0,1,78,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,75,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,19,0 +Carry,0,0,0,0,0,0,0,0,0,0,101 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a2fc5a15d663edc60ccad91648a006ff78759d30 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,29,2,1,1,3,0,3,0,3,0,2 +Sit to stand,2,18,1,8,0,0,0,0,0,0,0 +Stand to sit,10,1,14,4,0,0,0,0,0,0,0 +Sitting,3,6,2,13,0,0,0,0,0,0,0 +Stair up,1,0,0,0,6,0,0,1,0,0,0 +Stair down,2,0,0,0,0,1,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,2,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,8,0,0,0 +Grass walking,2,0,0,0,0,0,1,0,4,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,1,1,0 +Carry,1,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab060c66edeffa009923c94ef8d8f97d61486ca5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9204819277108434,0.8584269662921349,0.8883720930232558,445.0,415,445 +Sit to stand,0.5970149253731343,0.6666666666666666,0.6299212598425197,60.0,67,60 +Stand to sit,0.8461538461538461,0.6666666666666666,0.7457627118644068,66.0,52,66 +Sitting,0.867579908675799,0.8597285067873304,0.8636363636363636,221.0,219,221 +Stair up,0.7448979591836735,0.9733333333333334,0.8439306358381503,75.0,98,75 +Stair down,1.0,0.9090909090909091,0.9523809523809523,22.0,20,22 +Ramp up,0.725,0.9354838709677419,0.8169014084507042,31.0,40,31 +Ramp down,0.9885057471264368,0.9885057471264368,0.9885057471264368,87.0,87,87 +Grass walking,0.8681318681318682,0.9518072289156626,0.9080459770114943,83.0,91,83 +Uneven ground walking,1.0,0.9523809523809523,0.975609756097561,21.0,20,21 +Carry,0.9719626168224299,0.9904761904761905,0.9811320754716981,105.0,107,105 +accuracy,0.8774671052631579,0.8774671052631579,0.8774671052631579,0.8774671052631579,0,0 +macro avg,0.8663389817434574,0.8865970035185476,0.8721999073403222,1216.0,0,0 +weighted avg,0.8836102251458013,0.8774671052631579,0.878002009481359,1216.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..96258333231dfe1fd2ffec41419a7716b785f212 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9724517906336089,0.8802992518703242,0.9240837696335078,401.0,363,401 +Sit to stand,0.55,0.7096774193548387,0.6197183098591549,31.0,40,31 +Stand to sit,0.8823529411764706,0.8108108108108109,0.8450704225352113,37.0,34,37 +Sitting,0.917098445595855,0.8984771573604061,0.9076923076923077,197.0,193,197 +Stair up,0.7528089887640449,1.0,0.8589743589743589,67.0,89,67 +Stair down,1.0,1.0,1.0,19.0,19,19 +Ramp up,0.7941176470588235,1.0,0.8852459016393442,27.0,34,27 +Ramp down,1.0,0.9873417721518988,0.9936305732484076,79.0,78,79 +Grass walking,0.9036144578313253,0.9868421052631579,0.9433962264150944,76.0,83,76 +Uneven ground walking,1.0,1.0,1.0,19.0,19,19 +Carry,0.9901960784313726,1.0,0.9950738916256158,101.0,102,101 +accuracy,0.9184060721062619,0.9184060721062619,0.9184060721062619,0.9184060721062619,0,0 +macro avg,0.8875127590446819,0.933949865164676,0.9066259783293639,1054.0,0,0 +weighted avg,0.9277822600422376,0.9184060721062619,0.920305656946642,1054.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..768c3b79854ab8251f62baf425bc1e30c6e7790c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject11/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5576923076923077,0.6590909090909091,0.6041666666666666,44.0,52,44 +Sit to stand,0.6666666666666666,0.6206896551724138,0.6428571428571429,29.0,27,29 +Stand to sit,0.7777777777777778,0.4827586206896552,0.5957446808510638,29.0,18,29 +Sitting,0.5,0.5416666666666666,0.52,24.0,26,24 +Stair up,0.6666666666666666,0.75,0.7058823529411765,8.0,9,8 +Stair down,1.0,0.3333333333333333,0.5,3.0,1,3 +Ramp up,0.3333333333333333,0.5,0.4,4.0,6,4 +Ramp down,0.8888888888888888,1.0,0.9411764705882353,8.0,9,8 +Grass walking,0.5,0.5714285714285714,0.5333333333333333,7.0,8,7 +Uneven ground walking,1.0,0.5,0.6666666666666666,2.0,1,2 +Carry,0.6,0.75,0.6666666666666666,4.0,5,4 +accuracy,0.6111111111111112,0.6111111111111112,0.6111111111111112,0.6111111111111112,0,0 +macro avg,0.6810023310023309,0.6099061596710499,0.616044907324632,162.0,0,0 +weighted avg,0.6364514086736309,0.6111111111111112,0.6110653712496295,162.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..8919bc72f308863915b2690f873f5db92ae6a767 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,565,8,12,1,4,0,3,1,7,4,4 +Sit to stand,13,140,0,7,0,0,0,0,0,0,0 +Stand to sit,8,1,146,12,0,0,0,0,0,0,0 +Sitting,5,10,9,152,0,0,0,0,0,0,0 +Stair up,0,0,0,0,51,0,0,0,0,0,0 +Stair down,1,0,0,0,0,48,0,0,0,0,0 +Ramp up,2,0,0,0,0,2,101,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,65,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,71,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,25,0 +Carry,7,0,0,0,0,0,0,0,0,0,145 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..00b675c459178d7f38828aa1d7f1e09902c86392 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,487,0,1,1,1,0,0,0,4,2,0 +Sit to stand,1,53,0,0,0,0,0,0,0,0,0 +Stand to sit,2,0,60,0,0,0,0,0,0,0,0 +Sitting,5,1,2,116,0,0,0,0,0,0,0 +Stair up,0,0,0,0,44,0,0,0,0,0,0 +Stair down,0,0,0,0,0,41,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,95,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,60,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,64,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,22,0 +Carry,2,0,0,0,0,0,0,0,0,0,139 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e9c016746d059c3f306783896009bb8014af562 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,78,8,11,0,3,0,3,1,3,2,4 +Sit to stand,12,87,0,7,0,0,0,0,0,0,0 +Stand to sit,6,1,86,12,0,0,0,0,0,0,0 +Sitting,0,9,7,36,0,0,0,0,0,0,0 +Stair up,0,0,0,0,7,0,0,0,0,0,0 +Stair down,1,0,0,0,0,7,0,0,0,0,0 +Ramp up,2,0,0,0,0,2,6,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,5,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,3,0 +Carry,5,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3c0452d2bf409ca7d71def40d8ffdfe392910daf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9369817578772802,0.9277504105090312,0.9323432343234324,609.0,603,609 +Sit to stand,0.8805031446540881,0.875,0.877742946708464,160.0,159,160 +Stand to sit,0.874251497005988,0.874251497005988,0.874251497005988,167.0,167,167 +Sitting,0.8837209302325582,0.8636363636363636,0.8735632183908046,176.0,172,176 +Stair up,0.9272727272727272,1.0,0.9622641509433962,51.0,55,51 +Stair down,0.96,0.9795918367346939,0.9696969696969697,49.0,50,49 +Ramp up,0.9711538461538461,0.9619047619047619,0.9665071770334929,105.0,104,105 +Ramp down,0.9848484848484849,0.9848484848484849,0.9848484848484849,66.0,66,66 +Grass walking,0.9102564102564102,1.0,0.9530201342281879,71.0,78,71 +Uneven ground walking,0.8620689655172413,0.9615384615384616,0.9090909090909091,26.0,29,26 +Carry,0.9731543624161074,0.9539473684210527,0.9634551495016611,152.0,149,152 +accuracy,0.9246323529411765,0.9246323529411765,0.9246323529411765,0.9246323529411765,0,0 +macro avg,0.9240192842031575,0.9438608349635307,0.9333439883428899,1632.0,0,0 +weighted avg,0.9248166676892233,0.9246323529411765,0.9245115688147704,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..63fc17050256a5381606427059a90d8e1b7b3446 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9798792756539235,0.9818548387096774,0.9808660624370594,496.0,497,496 +Sit to stand,0.9814814814814815,0.9814814814814815,0.9814814814814815,54.0,54,54 +Stand to sit,0.9523809523809523,0.967741935483871,0.96,62.0,63,62 +Sitting,0.9914529914529915,0.9354838709677419,0.9626556016597511,124.0,117,124 +Stair up,0.9777777777777777,1.0,0.9887640449438202,44.0,45,44 +Stair down,1.0,1.0,1.0,41.0,41,41 +Ramp up,1.0,1.0,1.0,95.0,95,95 +Ramp down,1.0,1.0,1.0,60.0,60,60 +Grass walking,0.9411764705882353,1.0,0.9696969696969697,64.0,68,64 +Uneven ground walking,0.9166666666666666,1.0,0.9565217391304348,22.0,24,22 +Carry,1.0,0.9858156028368794,0.9928571428571429,141.0,139,141 +accuracy,0.9817123857024106,0.9817123857024106,0.9817123857024106,0.9817123857024106,0,0 +macro avg,0.9764377832729116,0.9865797935890593,0.9811675492915145,1203.0,0,0 +weighted avg,0.9820715658509326,0.9817123857024106,0.9817135669297185,1203.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..570e8d1d29e7315ba41dd316290b1f3403a04d12 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7358490566037735,0.6902654867256637,0.7123287671232876,113.0,106,113 +Sit to stand,0.8285714285714286,0.8207547169811321,0.8246445497630331,106.0,105,106 +Stand to sit,0.8269230769230769,0.819047619047619,0.8229665071770335,105.0,104,105 +Sitting,0.6545454545454545,0.6923076923076923,0.6728971962616822,52.0,55,52 +Stair up,0.7,1.0,0.8235294117647058,7.0,10,7 +Stair down,0.7777777777777778,0.875,0.8235294117647058,8.0,9,8 +Ramp up,0.6666666666666666,0.6,0.631578947368421,10.0,9,10 +Ramp down,0.8333333333333334,0.8333333333333334,0.8333333333333334,6.0,6,6 +Grass walking,0.7,1.0,0.8235294117647058,7.0,10,7 +Uneven ground walking,0.6,0.75,0.6666666666666666,4.0,5,4 +Carry,0.6,0.5454545454545454,0.5714285714285714,11.0,10,11 +accuracy,0.7645687645687645,0.7645687645687645,0.7645687645687645,0.7645687645687645,0,0 +macro avg,0.7203333449474101,0.7841966721681805,0.7460393431287407,429.0,0,0 +weighted avg,0.7658081361934111,0.7645687645687645,0.7638541442981299,429.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..89f1cdd4221411205a92bf5988effa072947d2bc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,573,5,9,1,5,0,2,1,7,3,3 +Sit to stand,7,135,0,5,0,0,0,0,0,0,0 +Stand to sit,10,3,149,6,0,0,0,0,0,0,0 +Sitting,3,11,13,161,0,0,0,0,0,0,0 +Stair up,0,0,0,0,50,0,0,0,0,0,0 +Stair down,1,0,0,0,0,49,0,0,0,0,0 +Ramp up,2,0,0,0,0,2,99,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,65,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,69,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,27,0 +Carry,6,0,0,0,0,0,0,0,0,0,147 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e0ffca766032e7a4a6eb36beab58d5e78844ce7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,491,0,2,1,1,0,0,0,3,1,1 +Sit to stand,0,44,0,0,0,0,0,0,0,0,0 +Stand to sit,1,0,59,1,0,0,0,0,0,0,0 +Sitting,3,2,1,121,0,0,0,0,0,0,0 +Stair up,0,0,0,0,43,0,0,0,0,0,0 +Stair down,0,0,0,0,0,42,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,94,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,60,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,63,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,22,0 +Carry,1,0,0,0,0,0,0,0,0,0,141 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0f6ddd4d8be6bd00d830fcc36437b3ea1dcfacd9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,82,5,7,0,4,0,2,1,4,2,2 +Sit to stand,7,91,0,5,0,0,0,0,0,0,0 +Stand to sit,9,3,90,5,0,0,0,0,0,0,0 +Sitting,0,9,12,40,0,0,0,0,0,0,0 +Stair up,0,0,0,0,7,0,0,0,0,0,0 +Stair down,1,0,0,0,0,7,0,0,0,0,0 +Ramp up,2,0,0,0,0,2,5,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,5,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,5,0 +Carry,5,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f7cec873558a311e7789083d3fe1a2f3436f871d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.947107438016529,0.9408866995073891,0.943986820428336,609.0,605,609 +Sit to stand,0.8766233766233766,0.9183673469387755,0.8970099667774086,147.0,154,147 +Stand to sit,0.8713450292397661,0.8869047619047619,0.8790560471976401,168.0,171,168 +Sitting,0.930635838150289,0.8563829787234043,0.8919667590027701,188.0,173,188 +Stair up,0.9090909090909091,1.0,0.9523809523809523,50.0,55,50 +Stair down,0.9607843137254902,0.98,0.9702970297029703,50.0,51,50 +Ramp up,0.9801980198019802,0.9611650485436893,0.9705882352941176,103.0,101,103 +Ramp down,0.9848484848484849,0.9558823529411765,0.9701492537313433,68.0,66,68 +Grass walking,0.9078947368421053,1.0,0.9517241379310345,69.0,76,69 +Uneven ground walking,0.9,1.0,0.9473684210526315,27.0,30,27 +Carry,0.98,0.9607843137254902,0.9702970297029703,153.0,150,153 +accuracy,0.9338235294117647,0.9338235294117647,0.9338235294117647,0.9338235294117647,0,0 +macro avg,0.9316843769399029,0.9509430456622443,0.9404386048365613,1632.0,0,0 +weighted avg,0.9346238722993038,0.9338235294117647,0.933760784560232,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..56250aba75078e72786f1181cf98da6a32120bb0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9879275653923542,0.982,0.9849548645937813,500.0,497,500 +Sit to stand,0.9565217391304348,1.0,0.9777777777777777,44.0,46,44 +Stand to sit,0.9516129032258065,0.9672131147540983,0.959349593495935,61.0,62,61 +Sitting,0.983739837398374,0.952755905511811,0.968,127.0,123,127 +Stair up,0.9772727272727273,1.0,0.9885057471264368,43.0,44,43 +Stair down,1.0,1.0,1.0,42.0,42,42 +Ramp up,1.0,1.0,1.0,94.0,94,94 +Ramp down,1.0,0.9836065573770492,0.9917355371900827,61.0,60,61 +Grass walking,0.9545454545454546,1.0,0.9767441860465116,63.0,66,63 +Uneven ground walking,0.9565217391304348,1.0,0.9777777777777777,22.0,23,22 +Carry,0.9929577464788732,0.9929577464788732,0.9929577464788732,142.0,142,142 +accuracy,0.9841534612176814,0.9841534612176814,0.9841534612176814,0.9841534612176814,0,0 +macro avg,0.9782817920522238,0.9889575749201666,0.9834366573170161,1199.0,0,0 +weighted avg,0.9843508380602538,0.9841534612176814,0.9841564549202987,1199.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..bad26a60c71131b3ff4b46a9cf8ced11ebac0034 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7592592592592593,0.7522935779816514,0.7557603686635944,109.0,108,109 +Sit to stand,0.8425925925925926,0.883495145631068,0.8625592417061612,103.0,108,103 +Stand to sit,0.8256880733944955,0.8411214953271028,0.8333333333333334,107.0,109,107 +Sitting,0.8,0.6557377049180327,0.7207207207207207,61.0,50,61 +Stair up,0.6363636363636364,1.0,0.7777777777777778,7.0,11,7 +Stair down,0.7777777777777778,0.875,0.8235294117647058,8.0,9,8 +Ramp up,0.7142857142857143,0.5555555555555556,0.625,9.0,7,9 +Ramp down,0.8333333333333334,0.7142857142857143,0.7692307692307693,7.0,6,7 +Grass walking,0.6,1.0,0.75,6.0,10,6 +Uneven ground walking,0.7142857142857143,1.0,0.8333333333333334,5.0,7,5 +Carry,0.75,0.5454545454545454,0.631578947368421,11.0,8,11 +accuracy,0.7944572748267898,0.7944572748267898,0.7944572748267898,0.7944572748267898,0,0 +macro avg,0.7503260092084112,0.8020857944685155,0.7620749003544378,433.0,0,0 +weighted avg,0.7968938133016358,0.7944572748267898,0.792167304668808,433.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..7144728824d2810aee5be9e8c27bf0dad46ef5dd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,566,3,14,1,5,2,1,1,3,3,3 +Sit to stand,15,137,0,14,0,0,0,0,0,0,0 +Stand to sit,12,1,150,8,0,0,0,0,0,0,0 +Sitting,3,12,14,142,0,0,0,0,0,0,0 +Stair up,0,0,0,0,48,0,0,0,0,0,0 +Stair down,2,0,0,0,0,48,0,0,0,0,0 +Ramp up,1,0,0,0,0,1,102,0,0,0,0 +Ramp down,2,0,0,0,2,0,0,64,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,72,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,27,0 +Carry,5,0,0,0,0,0,0,0,0,0,148 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9290aa5e64dbde0657d0e637b92508a5798faea4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,482,0,5,1,2,0,0,0,2,1,1 +Sit to stand,0,59,0,1,0,0,0,0,0,0,0 +Stand to sit,1,0,64,0,0,0,0,0,0,0,0 +Sitting,2,3,2,118,0,0,0,0,0,0,0 +Stair up,0,0,0,0,41,0,0,0,0,0,0 +Stair down,0,0,0,0,0,42,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,95,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,60,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,66,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,22,0 +Carry,0,0,0,0,0,0,0,0,0,0,141 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b815877c9b5603517ebe30b2670b56a017fad116 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,84,3,9,0,3,2,1,1,1,2,2 +Sit to stand,15,78,0,13,0,0,0,0,0,0,0 +Stand to sit,11,1,86,8,0,0,0,0,0,0,0 +Sitting,1,9,12,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,7,0,0,0,0,0,0 +Stair down,2,0,0,0,0,6,0,0,0,0,0 +Ramp up,1,0,0,0,0,1,7,0,0,0,0 +Ramp down,2,0,0,0,2,0,0,4,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,5,0 +Carry,5,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..70a1cdc88ba8c4a99999b215df2c8d1e29be4468 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.933993399339934,0.9401993355481728,0.9370860927152318,602.0,606,602 +Sit to stand,0.8954248366013072,0.8253012048192772,0.8589341692789969,166.0,153,166 +Stand to sit,0.8426966292134831,0.8771929824561403,0.8595988538681948,171.0,178,171 +Sitting,0.8606060606060606,0.8304093567251462,0.8452380952380952,171.0,165,171 +Stair up,0.8727272727272727,1.0,0.9320388349514563,48.0,55,48 +Stair down,0.9411764705882353,0.96,0.9504950495049505,50.0,51,50 +Ramp up,0.9902912621359223,0.9807692307692307,0.9855072463768116,104.0,103,104 +Ramp down,0.9846153846153847,0.9411764705882353,0.9624060150375939,68.0,65,68 +Grass walking,0.96,1.0,0.9795918367346939,72.0,75,72 +Uneven ground walking,0.9,1.0,0.9473684210526315,27.0,30,27 +Carry,0.9801324503311258,0.9673202614379085,0.9736842105263158,153.0,151,153 +accuracy,0.9215686274509803,0.9215686274509803,0.9215686274509803,0.9215686274509803,0,0 +macro avg,0.9237876151053388,0.9383971674858284,0.9301771659349974,1632.0,0,0 +weighted avg,0.9218403456951987,0.9215686274509803,0.9212734321290232,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a9f942434bceb113d186aa078d6523b6ca6dd8c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9938144329896907,0.9757085020242915,0.9846782431052093,494.0,485,494 +Sit to stand,0.9516129032258065,0.9833333333333333,0.9672131147540983,60.0,62,60 +Stand to sit,0.9014084507042254,0.9846153846153847,0.9411764705882353,65.0,71,65 +Sitting,0.9833333333333333,0.944,0.963265306122449,125.0,120,125 +Stair up,0.9534883720930233,1.0,0.9761904761904762,41.0,43,41 +Stair down,1.0,1.0,1.0,42.0,42,42 +Ramp up,1.0,1.0,1.0,95.0,95,95 +Ramp down,1.0,1.0,1.0,60.0,60,60 +Grass walking,0.9705882352941176,1.0,0.9850746268656716,66.0,68,66 +Uneven ground walking,0.9565217391304348,1.0,0.9777777777777777,22.0,23,22 +Carry,0.9929577464788732,1.0,0.9964664310954063,141.0,142,141 +accuracy,0.9826589595375722,0.9826589595375722,0.9826589595375722,0.9826589595375722,0,0 +macro avg,0.9730659284772277,0.9897870199975464,0.981076586045393,1211.0,0,0 +weighted avg,0.9832796757659069,0.9826589595375722,0.982741606626976,1211.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d345b36781f16c5879ec7e1f2c62b3d8cfb774ad --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6942148760330579,0.7777777777777778,0.7336244541484717,108.0,121,108 +Sit to stand,0.8571428571428571,0.7358490566037735,0.7918781725888325,106.0,91,106 +Stand to sit,0.8037383177570093,0.8113207547169812,0.8075117370892019,106.0,107,106 +Sitting,0.5333333333333333,0.5217391304347826,0.5274725274725275,46.0,45,46 +Stair up,0.5833333333333334,1.0,0.7368421052631579,7.0,12,7 +Stair down,0.6666666666666666,0.75,0.7058823529411765,8.0,9,8 +Ramp up,0.875,0.7777777777777778,0.8235294117647058,9.0,8,9 +Ramp down,0.8,0.5,0.6153846153846154,8.0,5,8 +Grass walking,0.8571428571428571,1.0,0.9230769230769231,6.0,7,6 +Uneven ground walking,0.7142857142857143,1.0,0.8333333333333334,5.0,7,5 +Carry,0.7777777777777778,0.5833333333333334,0.6666666666666666,12.0,9,12 +accuracy,0.7458432304038005,0.7458432304038005,0.7458432304038005,0.7458432304038005,0,0 +macro avg,0.7420577939520552,0.7688907118767662,0.7422911181572375,421.0,0,0 +weighted avg,0.7536846323006535,0.7458432304038005,0.7455473423565365,421.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..562c8743c998b690519f616c77eafb7a2cb426d4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,573,6,15,1,3,0,4,1,5,3,4 +Sit to stand,3,134,0,12,0,0,0,0,0,0,0 +Stand to sit,15,2,142,5,0,0,0,0,0,0,0 +Sitting,3,13,17,149,0,0,0,0,0,0,0 +Stair up,0,0,0,0,50,0,0,0,0,0,0 +Stair down,1,0,0,0,0,49,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,99,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,63,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,70,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,27,0 +Carry,6,0,0,0,0,0,0,0,0,0,148 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1bff260933c8632d51192d4ab87704fe67af8b6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,486,1,4,0,1,0,0,0,2,1,1 +Sit to stand,0,44,0,2,0,0,0,0,0,0,0 +Stand to sit,3,0,56,0,0,0,0,0,0,0,0 +Sitting,2,4,1,117,0,0,0,0,0,0,0 +Stair up,0,0,0,0,43,0,0,0,0,0,0 +Stair down,0,0,0,0,0,41,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,93,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,59,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,65,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,22,0 +Carry,0,0,0,0,0,0,0,0,0,0,142 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..03897948eb69491dc7f3be8aed759d6e0bf7278e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,87,5,11,1,2,0,4,1,3,2,3 +Sit to stand,3,90,0,10,0,0,0,0,0,0,0 +Stand to sit,12,2,86,5,0,0,0,0,0,0,0 +Sitting,1,9,16,32,0,0,0,0,0,0,0 +Stair up,0,0,0,0,7,0,0,0,0,0,0 +Stair down,1,0,0,0,0,8,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,6,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,4,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,5,0 +Carry,6,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5b08f54d5080b509c278115169e9b2d3ba49448 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9393442622950819,0.9317073170731708,0.9355102040816327,615.0,610,615 +Sit to stand,0.864516129032258,0.8993288590604027,0.881578947368421,149.0,155,149 +Stand to sit,0.8160919540229885,0.8658536585365854,0.8402366863905325,164.0,174,164 +Sitting,0.8922155688622755,0.8186813186813187,0.8538681948424068,182.0,167,182 +Stair up,0.9433962264150944,1.0,0.970873786407767,50.0,53,50 +Stair down,1.0,0.98,0.98989898989899,50.0,49,50 +Ramp up,0.9611650485436893,0.9705882352941176,0.9658536585365853,102.0,103,102 +Ramp down,0.984375,0.9264705882352942,0.9545454545454546,68.0,64,68 +Grass walking,0.9333333333333333,0.9859154929577465,0.958904109589041,71.0,75,71 +Uneven ground walking,0.9,1.0,0.9473684210526315,27.0,30,27 +Carry,0.9736842105263158,0.961038961038961,0.9673202614379085,154.0,152,154 +accuracy,0.9215686274509803,0.9215686274509803,0.9215686274509803,0.9215686274509803,0,0 +macro avg,0.9280110666391852,0.9399622209888725,0.933268974013761,1632.0,0,0 +weighted avg,0.9224216420894095,0.9215686274509803,0.921562579046143,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..500649fa8eefcc40385779c597ef526a6c7e8c79 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9858012170385395,0.9798387096774194,0.9828109201213346,496.0,493,496 +Sit to stand,0.8979591836734694,0.9565217391304348,0.9263157894736842,46.0,49,46 +Stand to sit,0.9180327868852459,0.9491525423728814,0.9333333333333333,59.0,61,59 +Sitting,0.9831932773109243,0.9435483870967742,0.9629629629629629,124.0,119,124 +Stair up,0.9772727272727273,1.0,0.9885057471264368,43.0,44,43 +Stair down,1.0,1.0,1.0,41.0,41,41 +Ramp up,1.0,1.0,1.0,93.0,93,93 +Ramp down,1.0,0.9672131147540983,0.9833333333333333,61.0,59,61 +Grass walking,0.9701492537313433,1.0,0.9848484848484849,65.0,67,65 +Uneven ground walking,0.9565217391304348,1.0,0.9777777777777777,22.0,23,22 +Carry,0.993006993006993,1.0,0.9964912280701754,142.0,143,142 +accuracy,0.9798657718120806,0.9798657718120806,0.9798657718120806,0.9798657718120806,0,0 +macro avg,0.9710851980045163,0.9814794993665097,0.9760345070043202,1192.0,0,0 +weighted avg,0.9802653749547035,0.9798657718120806,0.9799294582567476,1192.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..451c9080da7fdfdabd5c72cbd37b38fdd7e082e0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7435897435897436,0.7310924369747899,0.7372881355932204,119.0,117,119 +Sit to stand,0.8490566037735849,0.8737864077669902,0.861244019138756,103.0,106,103 +Stand to sit,0.7610619469026548,0.819047619047619,0.7889908256880734,105.0,113,105 +Sitting,0.6666666666666666,0.5517241379310345,0.6037735849056604,58.0,48,58 +Stair up,0.7777777777777778,1.0,0.875,7.0,9,7 +Stair down,1.0,0.8888888888888888,0.9411764705882353,9.0,8,9 +Ramp up,0.6,0.6666666666666666,0.631578947368421,9.0,10,9 +Ramp down,0.8,0.5714285714285714,0.6666666666666666,7.0,5,7 +Grass walking,0.625,0.8333333333333334,0.7142857142857143,6.0,8,6 +Uneven ground walking,0.7142857142857143,1.0,0.8333333333333334,5.0,7,5 +Carry,0.6666666666666666,0.5,0.5714285714285714,12.0,9,12 +accuracy,0.7636363636363637,0.7636363636363637,0.7636363636363637,0.7636363636363637,0,0 +macro avg,0.7458277381511645,0.7669061874579903,0.7477060244542411,440.0,0,0 +weighted avg,0.7620092131435845,0.7636363636363637,0.7603734453783214,440.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..4f60553a5e53acd13835dc491e73b756a526beaa --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,560,8,19,1,3,0,1,2,4,4,2 +Sit to stand,13,122,0,25,0,0,0,0,0,0,0 +Stand to sit,19,0,140,10,0,0,0,0,0,0,0 +Sitting,1,11,18,144,0,0,0,0,0,0,0 +Stair up,0,0,0,0,49,0,0,0,0,0,0 +Stair down,1,0,0,0,0,50,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,97,0,0,0,0 +Ramp down,4,0,0,0,1,0,0,63,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,72,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,26,0 +Carry,5,0,0,0,0,0,0,0,0,0,148 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a1cdec36a7efc773369c7db2a7cc377538f21bc6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,478,0,8,0,1,0,0,1,2,3,0 +Sit to stand,0,49,0,7,0,0,0,0,0,0,0 +Stand to sit,2,0,59,0,0,0,0,0,0,0,0 +Sitting,0,2,1,116,0,0,0,0,0,0,0 +Stair up,0,0,0,0,42,0,0,0,0,0,0 +Stair down,0,0,0,0,0,42,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,92,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,59,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,68,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,23,0 +Carry,0,0,0,0,0,0,0,0,0,0,143 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..216c82035f33fe471f74df999301b62e738ba086 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,82,8,11,1,2,0,1,1,2,1,2 +Sit to stand,13,73,0,18,0,0,0,0,0,0,0 +Stand to sit,17,0,81,10,0,0,0,0,0,0,0 +Sitting,1,9,17,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,7,0,0,0,0,0,0 +Stair down,1,0,0,0,0,8,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,5,0,0,0,0 +Ramp down,2,0,0,0,1,0,0,4,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,3,0 +Carry,5,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7faa632a3a41a8768f18c3b8ae0786cf07d0615 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9150326797385621,0.9271523178807947,0.9210526315789473,604.0,612,604 +Sit to stand,0.8652482269503546,0.7625,0.8106312292358804,160.0,141,160 +Stand to sit,0.7909604519774012,0.8284023668639053,0.8092485549132948,169.0,177,169 +Sitting,0.8,0.8275862068965517,0.8135593220338984,174.0,180,174 +Stair up,0.9245283018867925,1.0,0.9607843137254902,49.0,53,49 +Stair down,1.0,0.9803921568627451,0.9900990099009901,51.0,50,51 +Ramp up,0.9897959183673469,0.9326923076923077,0.9603960396039604,104.0,98,104 +Ramp down,0.9692307692307692,0.9264705882352942,0.9473684210526315,68.0,65,68 +Grass walking,0.9473684210526315,0.9863013698630136,0.9664429530201343,73.0,76,73 +Uneven ground walking,0.8666666666666667,0.9629629629629629,0.9122807017543859,27.0,30,27 +Carry,0.9866666666666667,0.9673202614379085,0.976897689768977,153.0,150,153 +accuracy,0.9013480392156863,0.9013480392156863,0.9013480392156863,0.9013480392156863,0,0 +macro avg,0.9141361911397446,0.9183436853359531,0.9153418969625992,1632.0,0,0 +weighted avg,0.902363983214167,0.9013480392156863,0.9012635396115516,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c37cc9f91fc1cbd51fa15021f097bf95fc2f7ee3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.989648033126294,0.9695740365111561,0.9795081967213115,493.0,483,493 +Sit to stand,0.9607843137254902,0.875,0.9158878504672897,56.0,51,56 +Stand to sit,0.8676470588235294,0.9672131147540983,0.9147286821705426,61.0,68,61 +Sitting,0.943089430894309,0.9747899159663865,0.9586776859504132,119.0,123,119 +Stair up,0.9767441860465116,1.0,0.9882352941176471,42.0,43,42 +Stair down,1.0,1.0,1.0,42.0,42,42 +Ramp up,1.0,0.989247311827957,0.9945945945945946,93.0,92,93 +Ramp down,0.9833333333333333,0.9672131147540983,0.9752066115702479,61.0,60,61 +Grass walking,0.9714285714285714,1.0,0.9855072463768116,68.0,70,68 +Uneven ground walking,0.8846153846153846,1.0,0.9387755102040817,23.0,26,23 +Carry,1.0,1.0,1.0,143.0,143,143 +accuracy,0.9750208159866778,0.9750208159866778,0.9750208159866778,0.9750208159866778,0,0 +macro avg,0.9615718465448567,0.9766397721648815,0.9682837883793582,1201.0,0,0 +weighted avg,0.9760736058410757,0.9750208159866778,0.9751585905866926,1201.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b96939fea4862a6bba6c74e034d62804923aab9d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6356589147286822,0.7387387387387387,0.6833333333333333,111.0,129,111 +Sit to stand,0.8111111111111111,0.7019230769230769,0.7525773195876289,104.0,90,104 +Stand to sit,0.7431192660550459,0.75,0.7465437788018433,108.0,109,108 +Sitting,0.49122807017543857,0.509090909090909,0.5,55.0,57,55 +Stair up,0.7,1.0,0.8235294117647058,7.0,10,7 +Stair down,1.0,0.8888888888888888,0.9411764705882353,9.0,8,9 +Ramp up,0.8333333333333334,0.45454545454545453,0.5882352941176471,11.0,6,11 +Ramp down,0.8,0.5714285714285714,0.6666666666666666,7.0,5,7 +Grass walking,0.6666666666666666,0.8,0.7272727272727273,5.0,6,5 +Uneven ground walking,0.75,0.75,0.75,4.0,4,4 +Carry,0.7142857142857143,0.5,0.5882352941176471,10.0,7,10 +accuracy,0.6960556844547564,0.6960556844547564,0.6960556844547564,0.6960556844547564,0,0 +macro avg,0.7404911887596356,0.6967832399650581,0.7061427542045849,431.0,0,0 +weighted avg,0.7061043545867529,0.6960556844547564,0.6963713107769383,431.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..649a898046e3eec09016a77a2d6136260884838b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,549,14,20,4,0,0,0,3,4,6,3 +Sit to stand,29,117,0,20,0,0,0,0,0,0,0 +Stand to sit,8,2,143,12,0,0,0,0,0,0,0 +Sitting,7,12,12,138,0,0,0,0,0,0,0 +Stair up,1,0,0,0,44,0,0,2,0,0,0 +Stair down,1,0,0,0,0,52,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,94,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,66,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,71,1,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,28,0 +Carry,3,0,0,0,0,0,0,0,0,0,150 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f361ca9155673074571c3873130f0f9602bc9720 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,464,4,9,4,0,0,0,2,3,5,1 +Sit to stand,10,44,0,7,0,0,0,0,0,0,0 +Stand to sit,0,0,62,1,0,0,0,0,0,0,0 +Sitting,1,6,1,109,0,0,0,0,0,0,0 +Stair up,0,0,0,0,40,0,0,0,0,0,0 +Stair down,0,0,0,0,0,44,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,90,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,61,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,68,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,25,0 +Carry,1,0,0,0,0,0,0,0,0,0,142 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b705b8a4ce48ae33e9c5420d4fa9fdd9bb44e2df --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,85,10,11,0,0,0,0,1,1,1,2 +Sit to stand,19,73,0,13,0,0,0,0,0,0,0 +Stand to sit,8,2,81,11,0,0,0,0,0,0,0 +Sitting,6,6,11,29,0,0,0,0,0,0,0 +Stair up,1,0,0,0,4,0,0,2,0,0,0 +Stair down,1,0,0,0,0,8,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,4,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,5,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,3,1,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,3,0 +Carry,2,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..81afbfc8faa5720f4e5b356eadbafcac83372a7a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8941368078175895,0.9104477611940298,0.9022185702547247,603.0,614,603 +Sit to stand,0.8068965517241379,0.7048192771084337,0.752411575562701,166.0,145,166 +Stand to sit,0.8171428571428572,0.8666666666666667,0.8411764705882353,165.0,175,165 +Sitting,0.7931034482758621,0.8165680473372781,0.8046647230320699,169.0,174,169 +Stair up,1.0,0.9361702127659575,0.967032967032967,47.0,44,47 +Stair down,1.0,0.9811320754716981,0.9904761904761905,53.0,52,53 +Ramp up,1.0,0.912621359223301,0.9543147208121827,103.0,94,103 +Ramp down,0.9295774647887324,0.9428571428571428,0.9361702127659575,70.0,71,70 +Grass walking,0.9466666666666667,0.9594594594594594,0.9530201342281879,74.0,75,74 +Uneven ground walking,0.8,0.9655172413793104,0.875,29.0,35,29 +Carry,0.9803921568627451,0.9803921568627451,0.9803921568627451,153.0,153,153 +accuracy,0.8897058823529411,0.8897058823529411,0.8897058823529411,0.8897058823529411,0,0 +macro avg,0.9061741775707811,0.9069683091205474,0.9051707019650874,1632.0,0,0 +weighted avg,0.8905000813455577,0.8897058823529411,0.8893328332490389,1632.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7e7ead833e0355f5c6bc346616b2f246b5a1f9a1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9666666666666667,0.943089430894309,0.9547325102880658,492.0,480,492 +Sit to stand,0.8148148148148148,0.7213114754098361,0.7652173913043478,61.0,54,61 +Stand to sit,0.8611111111111112,0.9841269841269841,0.9185185185185185,63.0,72,63 +Sitting,0.9008264462809917,0.9316239316239316,0.9159663865546218,117.0,121,117 +Stair up,1.0,1.0,1.0,40.0,40,40 +Stair down,1.0,1.0,1.0,44.0,44,44 +Ramp up,1.0,0.9782608695652174,0.989010989010989,92.0,90,92 +Ramp down,0.9682539682539683,0.9682539682539683,0.9682539682539683,63.0,63,63 +Grass walking,0.9577464788732394,1.0,0.9784172661870504,68.0,71,68 +Uneven ground walking,0.8333333333333334,1.0,0.9090909090909091,25.0,30,25 +Carry,0.993006993006993,0.993006993006993,0.993006993006993,143.0,143,143 +accuracy,0.9511589403973509,0.9511589403973509,0.9511589403973509,0.9511589403973509,0,0 +macro avg,0.9359781647582835,0.9563339684437491,0.9447468120195875,1208.0,0,0 +weighted avg,0.9519126587874945,0.9511589403973509,0.9509023573194156,1208.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e98ba79abbea8553a3a7e0789bc7cad22ecb1f5d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject20/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6343283582089553,0.7657657657657657,0.6938775510204082,111.0,134,111 +Sit to stand,0.8021978021978022,0.6952380952380952,0.7448979591836735,105.0,91,105 +Stand to sit,0.7864077669902912,0.7941176470588235,0.7902439024390244,102.0,103,102 +Sitting,0.5471698113207547,0.5576923076923077,0.5523809523809524,52.0,53,52 +Stair up,1.0,0.5714285714285714,0.7272727272727273,7.0,4,7 +Stair down,1.0,0.8888888888888888,0.9411764705882353,9.0,8,9 +Ramp up,1.0,0.36363636363636365,0.5333333333333333,11.0,4,11 +Ramp down,0.625,0.7142857142857143,0.6666666666666666,7.0,8,7 +Grass walking,0.75,0.5,0.6,6.0,4,6 +Uneven ground walking,0.6,0.75,0.6666666666666666,4.0,5,4 +Carry,0.8,0.8,0.8,10.0,10,10 +accuracy,0.714622641509434,0.714622641509434,0.714622641509434,0.714622641509434,0,0 +macro avg,0.7768276126107093,0.6728230321813209,0.7015014754137897,424.0,0,0 +weighted avg,0.7301477344661609,0.714622641509434,0.7144454688121328,424.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..960405e442e358b5ca6f4de33e2bb90417da67c8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,265,6,2,0,10,0,4,1,3,5,0 +Sit to stand,1,45,0,4,0,0,0,0,0,0,0 +Stand to sit,3,0,41,3,0,0,0,0,0,0,0 +Sitting,0,3,3,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,21,0,0,0,0,0,0 +Stair down,1,0,0,0,0,4,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,62,0,0,0,0 +Ramp down,2,0,0,0,0,0,1,27,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,54,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,71,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc6d725a17cbc9a6b7ee95026846b95633c01547 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,246,0,1,0,8,0,1,0,0,2,0 +Sit to stand,0,21,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,23,1,0,0,0,0,0,0,0 +Sitting,0,0,0,18,0,0,0,0,0,0,0 +Stair up,0,0,0,0,18,0,0,0,0,0,0 +Stair down,0,0,0,0,0,4,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,58,0,0,0,0 +Ramp down,2,0,0,0,0,0,1,26,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,48,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,65,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..06321635248f22de86f8003327b3c0e24e8085ed --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,11 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking +Level ground walking,19,6,1,0,2,0,3,1,3,3 +Sit to stand,1,24,0,4,0,0,0,0,0,0 +Stand to sit,3,0,18,2,0,0,0,0,0,0 +Sitting,0,3,3,10,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,0,0,0 +Stair down,1,0,0,0,0,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,4,0,0,0 +Ramp down,0,0,0,0,0,0,0,1,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..31f50a771944dabd9ed4ad8228467200ea8a0f39 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9671532846715328,0.8952702702702703,0.9298245614035088,296.0,274,296 +Sit to stand,0.8333333333333334,0.9,0.8653846153846154,50.0,54,50 +Stand to sit,0.8913043478260869,0.8723404255319149,0.8817204301075269,47.0,46,47 +Sitting,0.8,0.8235294117647058,0.8115942028985508,34.0,35,34 +Stair up,0.6774193548387096,1.0,0.8076923076923077,21.0,31,21 +Stair down,1.0,0.8,0.8888888888888888,5.0,4,5 +Ramp up,0.9253731343283582,0.9841269841269841,0.9538461538461539,63.0,67,63 +Ramp down,0.9642857142857143,0.9,0.9310344827586207,30.0,28,30 +Grass walking,0.9473684210526315,1.0,0.972972972972973,54.0,57,54 +Uneven ground walking,0.9342105263157895,0.9861111111111112,0.9594594594594594,72.0,76,72 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9266304347826086,0.9266304347826086,0.9266304347826086,0.9266304347826086,0,0 +macro avg,0.9036771015138324,0.9237616548004532,0.9093107341284188,736.0,0,0 +weighted avg,0.9319419582224407,0.9266304347826086,0.9274229765773704,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c5cd710cb0d788c222d9717bb56e7a13a5110801 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9919354838709677,0.9534883720930233,0.9723320158102767,258.0,248,258 +Sit to stand,1.0,1.0,1.0,21.0,21,21 +Stand to sit,0.9583333333333334,0.9583333333333334,0.9583333333333334,24.0,24,24 +Sitting,0.9473684210526315,1.0,0.972972972972973,18.0,19,18 +Stair up,0.6923076923076923,1.0,0.8181818181818182,18.0,26,18 +Stair down,1.0,1.0,1.0,4.0,4,4 +Ramp up,0.9666666666666667,1.0,0.9830508474576272,58.0,60,58 +Ramp down,1.0,0.896551724137931,0.9454545454545454,29.0,26,29 +Grass walking,1.0,1.0,1.0,48.0,48,48 +Uneven ground walking,0.9701492537313433,1.0,0.9848484848484849,65.0,67,65 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9736408566721582,0.9736408566721582,0.9736408566721582,0.9736408566721582,0,0 +macro avg,0.9569782591784214,0.9825794026876625,0.9668340016417325,607.0,0,0 +weighted avg,0.9778581433911029,0.9736408566721582,0.9745514477853598,607.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8efb7b1e3b1a0535e2ea7cf99cd7fb2f977d49c7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,14 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7307692307692307,0.5,0.59375,38.0,26,38 +Sit to stand,0.7272727272727273,0.8275862068965517,0.7741935483870968,29.0,33,29 +Stand to sit,0.8181818181818182,0.782608695652174,0.8,23.0,22,23 +Sitting,0.625,0.625,0.625,16.0,16,16 +Stair up,0.6,1.0,0.75,3.0,5,3 +Stair down,0.0,0.0,0.0,1.0,0,1 +Ramp up,0.5714285714285714,0.8,0.6666666666666666,5.0,7,5 +Ramp down,0.5,1.0,0.6666666666666666,1.0,2,1 +Grass walking,0.6666666666666666,1.0,0.8,6.0,9,6 +Uneven ground walking,0.6666666666666666,0.8571428571428571,0.75,7.0,9,7 +accuracy,0.7054263565891473,0.7054263565891473,0.7054263565891473,0.7054263565891473,0,0 +macro avg,0.5905985680985681,0.7392337759691582,0.642627688172043,129.0,0,0 +weighted avg,0.7093188465281489,0.7054263565891473,0.6954582395598901,129.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab20cec6da44f91f3c6e6919bd07090693e0ecd0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,261,7,5,0,11,0,2,0,5,7,0 +Sit to stand,1,43,0,5,0,0,0,0,0,0,0 +Stand to sit,3,0,40,3,0,0,0,0,0,0,0 +Sitting,0,4,2,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,21,0,0,0,0,0,0 +Stair down,1,0,0,0,0,4,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,64,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,27,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,51,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,71,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d543eb6b9ceb53855f3c16972f4f6899bd079934 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,247,0,2,0,9,0,0,0,0,1,0 +Sit to stand,0,20,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,23,0,0,0,0,0,0,0,0 +Sitting,0,0,0,16,0,0,0,0,0,0,0 +Stair up,0,0,0,0,18,0,0,0,0,0,0 +Stair down,0,0,0,0,0,4,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,61,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,25,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,45,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,66,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..f0d1d19c0cdc02ca2ba15f51366a8e8514d541c4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,11 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking +Level ground walking,14,7,3,0,2,0,2,0,5,6 +Sit to stand,1,23,0,5,0,0,0,0,0,0 +Stand to sit,3,0,17,3,0,0,0,0,0,0 +Sitting,0,4,2,12,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,0,0,0 +Stair down,1,0,0,0,0,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,3,0,0,0 +Ramp down,0,0,0,0,0,0,0,2,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..78962355a9080c2851c2c3588bac236d0c2e37ca --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9595588235294118,0.8758389261744967,0.9157894736842105,298.0,272,298 +Sit to stand,0.7962962962962963,0.8775510204081632,0.8349514563106796,49.0,54,49 +Stand to sit,0.851063829787234,0.8695652173913043,0.8602150537634409,46.0,47,46 +Sitting,0.7777777777777778,0.8235294117647058,0.8,34.0,36,34 +Stair up,0.65625,1.0,0.7924528301886793,21.0,32,21 +Stair down,1.0,0.8,0.8888888888888888,5.0,4,5 +Ramp up,0.9696969696969697,0.9696969696969697,0.9696969696969697,66.0,66,66 +Ramp down,1.0,0.9,0.9473684210526315,30.0,27,30 +Grass walking,0.9107142857142857,1.0,0.9532710280373832,51.0,56,51 +Uneven ground walking,0.9102564102564102,0.9861111111111112,0.9466666666666667,72.0,78,72 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9157608695652174,0.9157608695652174,0.9157608695652174,0.9157608695652174,0,0 +macro avg,0.8937831266416715,0.9183902415042501,0.900845526208141,736.0,0,0 +weighted avg,0.9229980552375415,0.9157608695652174,0.9169451167528919,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad0cdb1c5fdeb99991cbe32ba0097750e27f45f2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.988,0.9536679536679536,0.9705304518664047,259.0,250,259 +Sit to stand,1.0,1.0,1.0,20.0,20,20 +Stand to sit,0.92,1.0,0.9583333333333334,23.0,25,23 +Sitting,1.0,1.0,1.0,16.0,16,16 +Stair up,0.6666666666666666,1.0,0.8,18.0,27,18 +Stair down,1.0,1.0,1.0,4.0,4,4 +Ramp up,1.0,1.0,1.0,61.0,61,61 +Ramp down,1.0,0.8928571428571429,0.9433962264150944,28.0,25,28 +Grass walking,1.0,1.0,1.0,45.0,45,45 +Uneven ground walking,0.9850746268656716,1.0,0.9924812030075187,66.0,67,66 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9751655629139073,0.9751655629139073,0.9751655629139073,0.9751655629139073,0,0 +macro avg,0.9599764812302124,0.9860477360477361,0.9695219286020319,604.0,0,0 +weighted avg,0.9802432539290304,0.9751655629139073,0.9763707076791133,604.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e977d2795d9332635ef2913ebd96e06a709c2bc4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,14 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6363636363636364,0.358974358974359,0.45901639344262296,39.0,22,39 +Sit to stand,0.6764705882352942,0.7931034482758621,0.7301587301587301,29.0,34,29 +Stand to sit,0.7727272727272727,0.7391304347826086,0.7555555555555555,23.0,22,23 +Sitting,0.6,0.6666666666666666,0.631578947368421,18.0,20,18 +Stair up,0.6,1.0,0.75,3.0,5,3 +Stair down,0.0,0.0,0.0,1.0,0,1 +Ramp up,0.6,0.6,0.6,5.0,5,5 +Ramp down,1.0,1.0,1.0,2.0,2,2 +Grass walking,0.5454545454545454,1.0,0.7058823529411765,6.0,11,6 +Uneven ground walking,0.45454545454545453,0.8333333333333334,0.5882352941176471,6.0,11,6 +accuracy,0.6439393939393939,0.6439393939393939,0.6439393939393939,0.6439393939393939,0,0 +macro avg,0.5885561497326204,0.6991208242032829,0.6220427273584153,132.0,0,0 +weighted avg,0.6500648193161561,0.6439393939393939,0.6275541456941498,132.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e6b7bc3e77a468e6e949a2c8a2da56ebc444980a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,264,8,4,0,11,0,2,0,4,5,0 +Sit to stand,1,43,0,5,0,0,0,0,0,0,0 +Stand to sit,6,0,41,3,0,0,0,0,0,0,0 +Sitting,0,3,4,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,20,0,0,0,0,0,0 +Stair down,0,0,0,0,0,5,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,63,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,28,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,50,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,73,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a2be6ba36fdd44df5a0517eb20669d3de6dd53d3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,246,1,3,0,9,0,1,0,2,1,0 +Sit to stand,0,23,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,27,0,0,0,0,0,0,0,0 +Sitting,0,0,0,14,0,0,0,0,0,0,0 +Stair up,0,0,0,0,17,0,0,0,0,0,0 +Stair down,0,0,0,0,0,4,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,59,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,26,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,43,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,67,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..80d45e22f0b698acda39e019296b7062648ce0b1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,11 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking +Level ground walking,18,7,1,0,2,0,1,0,2,4 +Sit to stand,1,20,0,5,0,0,0,0,0,0 +Stand to sit,6,0,14,3,0,0,0,0,0,0 +Sitting,0,3,4,10,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,0,0,0 +Stair down,0,0,0,0,0,1,0,0,0,0 +Ramp up,1,0,0,0,0,0,4,0,0,0 +Ramp down,0,0,0,0,0,0,0,2,0,0 +Grass walking,0,0,0,0,0,0,0,0,7,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..0db02427e95bdc16787852e26317ee53ff5cfef7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9565217391304348,0.8859060402684564,0.9198606271777003,298.0,276,298 +Sit to stand,0.7962962962962963,0.8775510204081632,0.8349514563106796,49.0,54,49 +Stand to sit,0.8367346938775511,0.82,0.8282828282828283,50.0,49,50 +Sitting,0.75,0.7741935483870968,0.7619047619047619,31.0,32,31 +Stair up,0.6451612903225806,1.0,0.7843137254901961,20.0,31,20 +Stair down,1.0,1.0,1.0,5.0,5,5 +Ramp up,0.9692307692307692,0.9692307692307692,0.9692307692307692,65.0,65,65 +Ramp down,1.0,0.9032258064516129,0.9491525423728814,31.0,28,31 +Grass walking,0.9259259259259259,1.0,0.9615384615384616,50.0,54,50 +Uneven ground walking,0.9358974358974359,1.0,0.9668874172185431,73.0,78,73 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9171195652173914,0.9171195652173914,0.9171195652173914,0.9171195652173914,0,0 +macro avg,0.8923425591528176,0.9300097440678272,0.9069202354115291,736.0,0,0 +weighted avg,0.9234629978213674,0.9171195652173914,0.9182526972127812,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c77959960a8eb4130ea5062508053a554e56572f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.984,0.935361216730038,0.9590643274853801,263.0,250,263 +Sit to stand,0.9583333333333334,1.0,0.9787234042553191,23.0,24,23 +Stand to sit,0.9,1.0,0.9473684210526315,27.0,30,27 +Sitting,1.0,1.0,1.0,14.0,14,14 +Stair up,0.6538461538461539,1.0,0.7906976744186046,17.0,26,17 +Stair down,1.0,1.0,1.0,4.0,4,4 +Ramp up,0.9833333333333333,0.9833333333333333,0.9833333333333333,60.0,60,60 +Ramp down,1.0,0.896551724137931,0.9454545454545454,29.0,26,29 +Grass walking,0.9555555555555556,1.0,0.9772727272727273,43.0,45,43 +Uneven ground walking,0.9852941176470589,1.0,0.9925925925925926,67.0,68,67 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9656301145662848,0.9656301145662848,0.9656301145662848,0.9656301145662848,0,0 +macro avg,0.9473056812468577,0.9832042067455729,0.9613188205331938,611.0,0,0 +weighted avg,0.9711172603163554,0.9656301145662848,0.9667921064724672,611.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2a676560771996fcdb4422e15402333daeecc74d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,14 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6923076923076923,0.5142857142857142,0.5901639344262295,35.0,26,35 +Sit to stand,0.6666666666666666,0.7692307692307693,0.7142857142857143,26.0,30,26 +Stand to sit,0.7368421052631579,0.6086956521739131,0.6666666666666666,23.0,19,23 +Sitting,0.5555555555555556,0.5882352941176471,0.5714285714285714,17.0,18,17 +Stair up,0.6,1.0,0.75,3.0,5,3 +Stair down,1.0,1.0,1.0,1.0,1,1 +Ramp up,0.8,0.8,0.8,5.0,5,5 +Ramp down,1.0,1.0,1.0,2.0,2,2 +Grass walking,0.7777777777777778,1.0,0.875,7.0,9,7 +Uneven ground walking,0.6,1.0,0.75,6.0,10,6 +accuracy,0.68,0.68,0.68,0.68,0,0 +macro avg,0.742914979757085,0.8280447429808044,0.7717544886807182,125.0,0,0 +weighted avg,0.6864028789923525,0.68,0.6731982825917253,125.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8ca495ec85168bd5b85082d97d1b94953a9fdd9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,262,4,6,0,10,0,1,0,4,7,0 +Sit to stand,0,48,0,4,0,0,0,0,0,0,0 +Stand to sit,6,0,41,3,0,0,0,0,0,0,0 +Sitting,0,4,3,23,0,0,0,0,0,0,0 +Stair up,0,0,0,0,21,0,0,0,0,0,0 +Stair down,1,0,0,0,0,5,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,64,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,27,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,49,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,73,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b6a7df1479378c3b3c12a77ab2fa97b7e1a7598 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,242,0,5,0,9,0,0,0,0,2,0 +Sit to stand,0,22,0,0,0,0,0,0,0,0,0 +Stand to sit,1,0,25,1,0,0,0,0,0,0,0 +Sitting,0,0,0,13,0,0,0,0,0,0,0 +Stair up,0,0,0,0,18,0,0,0,0,0,0 +Stair down,0,0,0,0,0,5,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,61,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,25,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,43,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,68,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5d33472bf28caf6b10d34307177e3c1c2211379f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,11 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking +Level ground walking,20,4,1,0,1,0,1,0,4,5 +Sit to stand,0,26,0,4,0,0,0,0,0,0 +Stand to sit,5,0,16,2,0,0,0,0,0,0 +Sitting,0,4,3,10,0,0,0,0,0,0 +Stair up,0,0,0,0,3,0,0,0,0,0 +Stair down,1,0,0,0,0,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,3,0,0,0 +Ramp down,0,0,0,0,0,0,0,2,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..eeadb601282523c6e434a221e432214534fa2ab0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9527272727272728,0.891156462585034,0.9209138840070299,294.0,275,294 +Sit to stand,0.8571428571428571,0.9230769230769231,0.8888888888888888,52.0,56,52 +Stand to sit,0.82,0.82,0.82,50.0,50,50 +Sitting,0.7666666666666667,0.7666666666666667,0.7666666666666667,30.0,30,30 +Stair up,0.6774193548387096,1.0,0.8076923076923077,21.0,31,21 +Stair down,1.0,0.8333333333333334,0.9090909090909091,6.0,5,6 +Ramp up,0.9846153846153847,0.9696969696969697,0.9770992366412213,66.0,65,66 +Ramp down,1.0,0.9,0.9473684210526315,30.0,27,30 +Grass walking,0.9245283018867925,1.0,0.9607843137254902,49.0,53,49 +Uneven ground walking,0.9125,0.9864864864864865,0.948051948051948,74.0,80,74 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9198369565217391,0.9198369565217391,0.9198369565217391,0.9198369565217391,0,0 +macro avg,0.8995999852616077,0.9173106219859466,0.9042324159833721,736.0,0,0 +weighted avg,0.924878471986315,0.9198369565217391,0.9205582415960132,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0bd3db8a4d0f0e919b8fd4947d2293186dd7b4e4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.983739837398374,0.937984496124031,0.9603174603174603,258.0,246,258 +Sit to stand,1.0,1.0,1.0,22.0,22,22 +Stand to sit,0.8333333333333334,0.9259259259259259,0.8771929824561403,27.0,30,27 +Sitting,0.9285714285714286,1.0,0.9629629629629629,13.0,14,13 +Stair up,0.6666666666666666,1.0,0.8,18.0,27,18 +Stair down,1.0,1.0,1.0,5.0,5,5 +Ramp up,1.0,1.0,1.0,61.0,61,61 +Ramp down,1.0,0.8928571428571429,0.9433962264150944,28.0,25,28 +Grass walking,1.0,1.0,1.0,43.0,43,43 +Uneven ground walking,0.9714285714285714,1.0,0.9855072463768116,68.0,70,68 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9654036243822076,0.9654036243822076,0.9654036243822076,0.9654036243822076,0,0 +macro avg,0.9439763488543975,0.9778879604461,0.9572160798662246,607.0,0,0 +weighted avg,0.9710600485623591,0.9654036243822076,0.9667120607907495,607.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b4a5b608bd08a1dcc6ac09dc19babb6b579aa303 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,14 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6896551724137931,0.5555555555555556,0.6153846153846154,36.0,29,36 +Sit to stand,0.7647058823529411,0.8666666666666667,0.8125,30.0,34,30 +Stand to sit,0.8,0.6956521739130435,0.7441860465116279,23.0,20,23 +Sitting,0.625,0.5882352941176471,0.6060606060606061,17.0,16,17 +Stair up,0.75,1.0,0.8571428571428571,3.0,4,3 +Stair down,0.0,0.0,0.0,1.0,0,1 +Ramp up,0.75,0.6,0.6666666666666666,5.0,4,5 +Ramp down,1.0,1.0,1.0,2.0,2,2 +Grass walking,0.6,1.0,0.75,6.0,10,6 +Uneven ground walking,0.5,0.8333333333333334,0.625,6.0,10,6 +accuracy,0.7054263565891473,0.7054263565891473,0.7054263565891473,0.7054263565891473,0,0 +macro avg,0.6479361054766735,0.7139443023586247,0.6676940791766374,129.0,0,0 +weighted avg,0.7084787804456185,0.7054263565891473,0.6984722281504324,129.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..f634b294b88192b27b8aa677ffb1fec7bbb15555 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,265,6,8,0,10,0,3,0,4,6,0 +Sit to stand,0,45,0,3,0,0,0,0,0,0,0 +Stand to sit,4,0,42,5,0,0,0,0,0,0,0 +Sitting,0,2,1,24,0,0,0,0,0,0,0 +Stair up,0,0,0,0,19,0,0,0,0,0,0 +Stair down,1,0,0,0,0,6,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,63,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,26,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,46,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,76,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..641e18f73ed65968d917eef5b2480d6dedebf714 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,244,0,6,0,9,0,1,0,1,3,0 +Sit to stand,0,20,0,0,0,0,0,0,0,0,0 +Stand to sit,0,0,27,1,0,0,0,0,0,0,0 +Sitting,0,1,0,10,0,0,0,0,0,0,0 +Stair up,0,0,0,0,17,0,0,0,0,0,0 +Stair down,0,0,0,0,0,6,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,60,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,25,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,40,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,69,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..997bcd84ae9d246933a5dc66597ebab3e7e24a18 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,11 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking +Level ground walking,21,6,2,0,1,0,2,0,3,3 +Sit to stand,0,25,0,3,0,0,0,0,0,0 +Stand to sit,4,0,15,4,0,0,0,0,0,0 +Sitting,0,1,1,14,0,0,0,0,0,0 +Stair up,0,0,0,0,2,0,0,0,0,0 +Stair down,1,0,0,0,0,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,3,0,0,0 +Ramp down,2,0,0,0,0,0,0,1,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..037ef80433c4cb8b56393b927a9f61a30a1f38c6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9566787003610109,0.8774834437086093,0.9153713298791019,302.0,277,302 +Sit to stand,0.8490566037735849,0.9375,0.8910891089108911,48.0,53,48 +Stand to sit,0.8235294117647058,0.8235294117647058,0.8235294117647058,51.0,51,51 +Sitting,0.75,0.8888888888888888,0.8135593220338984,27.0,32,27 +Stair up,0.6551724137931034,1.0,0.7916666666666666,19.0,29,19 +Stair down,1.0,0.8571428571428571,0.9230769230769231,7.0,6,7 +Ramp up,0.9545454545454546,0.984375,0.9692307692307692,64.0,66,64 +Ramp down,1.0,0.8125,0.896551724137931,32.0,26,32 +Grass walking,0.92,1.0,0.9583333333333334,46.0,50,46 +Uneven ground walking,0.926829268292683,1.0,0.9620253164556962,76.0,82,76 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9184782608695652,0.9184782608695652,0.9184782608695652,0.9184782608695652,0,0 +macro avg,0.894164713866413,0.9255836001368237,0.9040394459536288,736.0,0,0 +weighted avg,0.9255705079257873,0.9184782608695652,0.9192953905726647,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..50f190e2145196841117ed13a3a46d312bced84a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9838709677419355,0.9242424242424242,0.953125,264.0,248,264 +Sit to stand,0.9523809523809523,1.0,0.975609756097561,20.0,21,20 +Stand to sit,0.8181818181818182,0.9642857142857143,0.8852459016393442,28.0,33,28 +Sitting,0.9090909090909091,0.9090909090909091,0.9090909090909091,11.0,11,11 +Stair up,0.6538461538461539,1.0,0.7906976744186046,17.0,26,17 +Stair down,1.0,1.0,1.0,6.0,6,6 +Ramp up,0.9836065573770492,1.0,0.9917355371900827,60.0,61,60 +Ramp down,1.0,0.8620689655172413,0.9259259259259259,29.0,25,29 +Grass walking,0.975609756097561,1.0,0.9876543209876543,40.0,41,40 +Uneven ground walking,0.9583333333333334,1.0,0.9787234042553191,69.0,72,69 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.9572368421052632,0.9572368421052632,0.9572368421052632,0.9572368421052632,0,0 +macro avg,0.9304473134590647,0.9690625466487536,0.9452553117823093,608.0,0,0 +weighted avg,0.9637825883922548,0.9572368421052632,0.9584868629101138,608.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..7cb97f9c75aac463666949f62bd398bf20a00ca6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,14 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7241379310344828,0.5526315789473685,0.6268656716417911,38.0,29,38 +Sit to stand,0.78125,0.8928571428571429,0.8333333333333334,28.0,32,28 +Stand to sit,0.8333333333333334,0.6521739130434783,0.7317073170731707,23.0,18,23 +Sitting,0.6666666666666666,0.875,0.7567567567567568,16.0,21,16 +Stair up,0.6666666666666666,1.0,0.8,2.0,3,2 +Stair down,0.0,0.0,0.0,1.0,0,1 +Ramp up,0.6,0.75,0.6666666666666666,4.0,5,4 +Ramp down,1.0,0.3333333333333333,0.5,3.0,1,3 +Grass walking,0.6666666666666666,1.0,0.8,6.0,9,6 +Uneven ground walking,0.7,1.0,0.8235294117647058,7.0,10,7 +accuracy,0.734375,0.734375,0.734375,0.734375,0,0 +macro avg,0.6638721264367817,0.7055995968181323,0.6538859157236424,128.0,0,0 +weighted avg,0.7410852191091956,0.734375,0.7220545141057191,128.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..567d847336dcb26f7330d5c751a58080ace0119c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,262,5,11,1,12,0,2,0,2,9,0 +Sit to stand,0,38,0,6,0,0,0,0,0,0,0 +Stand to sit,13,0,35,5,0,0,0,0,0,0,0 +Sitting,0,4,5,17,0,0,0,0,0,0,0 +Stair up,2,0,0,0,17,0,0,0,0,0,0 +Stair down,1,0,0,0,0,9,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,62,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,25,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,39,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,80,0 +Carry,1,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..321b5ed1a7804f58ece87f645057802c3f3210f4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,235,2,9,1,12,0,0,0,0,7,0 +Sit to stand,0,15,0,3,0,0,0,0,0,0,0 +Stand to sit,4,0,25,2,0,0,0,0,0,0,0 +Sitting,0,1,0,7,0,0,0,0,0,0,0 +Stair up,1,0,0,0,16,0,0,0,0,0,0 +Stair down,0,0,0,0,0,8,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,60,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,25,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,34,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,73,0 +Carry,0,0,0,0,0,0,0,0,0,0,64 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1dd2bc2677947a8ab92f9e683bbfbae2ee63e2c0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,27,3,2,0,0,0,2,0,2,2,0 +Sit to stand,0,23,0,3,0,0,0,0,0,0,0 +Stand to sit,9,0,10,3,0,0,0,0,0,0,0 +Sitting,0,3,5,10,0,0,0,0,0,0,0 +Stair up,1,0,0,0,1,0,0,0,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,2,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,0,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,7,0 +Carry,1,0,0,0,0,0,0,0,0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a14d974c49ca17d50c8a82da7567593294b8a85 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9097222222222222,0.8618421052631579,0.8851351351351351,304.0,288,304 +Sit to stand,0.8085106382978723,0.8636363636363636,0.8351648351648352,44.0,47,44 +Stand to sit,0.6862745098039216,0.660377358490566,0.6730769230769231,53.0,51,53 +Sitting,0.5862068965517241,0.6538461538461539,0.6181818181818182,26.0,29,26 +Stair up,0.5862068965517241,0.8947368421052632,0.7083333333333334,19.0,29,19 +Stair down,1.0,0.9,0.9473684210526315,10.0,9,10 +Ramp up,0.96875,0.96875,0.96875,64.0,64,64 +Ramp down,1.0,0.78125,0.8771929824561403,32.0,25,32 +Grass walking,0.9512195121951219,1.0,0.975,39.0,41,39 +Uneven ground walking,0.898876404494382,1.0,0.9467455621301775,80.0,89,80 +Carry,1.0,0.9846153846153847,0.9922480620155039,65.0,64,65 +accuracy,0.8804347826086957,0.8804347826086957,0.8804347826086957,0.8804347826086957,0,0 +macro avg,0.8541606436469972,0.8699140189051717,0.8570179156860452,736.0,0,0 +weighted avg,0.8870782015492632,0.8804347826086957,0.8815721467500216,736.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3867d8a32f9c9773faab21385d8f882e251966c9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9591836734693877,0.8834586466165414,0.9197651663405088,266.0,245,266 +Sit to stand,0.8333333333333334,0.8333333333333334,0.8333333333333334,18.0,18,18 +Stand to sit,0.7352941176470589,0.8064516129032258,0.7692307692307693,31.0,34,31 +Sitting,0.5384615384615384,0.875,0.6666666666666666,8.0,13,8 +Stair up,0.5714285714285714,0.9411764705882353,0.7111111111111111,17.0,28,17 +Stair down,1.0,1.0,1.0,8.0,8,8 +Ramp up,1.0,1.0,1.0,60.0,60,60 +Ramp down,1.0,0.8333333333333334,0.9090909090909091,30.0,25,30 +Grass walking,1.0,1.0,1.0,34.0,34,34 +Uneven ground walking,0.9125,1.0,0.954248366013072,73.0,80,73 +Carry,1.0,1.0,1.0,64.0,64,64 +accuracy,0.922824302134647,0.922824302134647,0.922824302134647,0.922824302134647,0,0 +macro avg,0.8682001122127172,0.9247957633431518,0.8875860292533063,609.0,0,0 +weighted avg,0.9352569011689557,0.922824302134647,0.9258764668417617,609.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ce6841eec589d6d6bcd32e8be03e9c8ccdfb5780 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject24/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.627906976744186,0.7105263157894737,0.6666666666666666,38.0,43,38 +Sit to stand,0.7931034482758621,0.8846153846153846,0.8363636363636363,26.0,29,26 +Stand to sit,0.5882352941176471,0.45454545454545453,0.5128205128205128,22.0,17,22 +Sitting,0.625,0.5555555555555556,0.5882352941176471,18.0,16,18 +Stair up,1.0,0.5,0.6666666666666666,2.0,1,2 +Stair down,1.0,0.5,0.6666666666666666,2.0,1,2 +Ramp up,0.5,0.5,0.5,4.0,4,4 +Ramp down,0.0,0.0,0.0,2.0,0,2 +Grass walking,0.7142857142857143,1.0,0.8333333333333334,5.0,7,5 +Uneven ground walking,0.7777777777777778,1.0,0.875,7.0,9,7 +Carry,0.0,0.0,0.0,1.0,0,1 +accuracy,0.6771653543307087,0.6771653543307087,0.6771653543307087,0.6771653543307087,0,0 +macro avg,0.6023917464728352,0.5550220645914425,0.5587047978759209,127.0,0,0 +weighted avg,0.6589622382512813,0.6771653543307087,0.6606882503014974,127.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2cdc0750081cb8d7da404ab806bfde521a2f691 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,441,2,1,0,6,3,1,2,0,0,7 +Sit to stand,6,40,0,4,0,0,0,0,0,0,0 +Stand to sit,3,1,47,8,0,0,0,0,0,0,0 +Sitting,0,4,0,89,0,0,0,0,0,0,0 +Stair up,1,0,0,0,73,0,0,1,0,0,0 +Stair down,2,0,0,0,0,15,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,70,0,0,0,0 +Ramp down,0,0,0,0,1,0,0,84,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,7,0 +Carry,9,0,0,0,0,0,0,0,0,0,119 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d022acf5ab8397f795bd7ecb19cfa1ce8d4696fc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,415,2,0,0,3,2,0,1,0,0,5 +Sit to stand,2,27,0,2,0,0,0,0,0,0,0 +Stand to sit,0,0,36,2,0,0,0,0,0,0,0 +Sitting,0,0,0,80,0,0,0,0,0,0,0 +Stair up,0,0,0,0,67,0,0,0,0,0,0 +Stair down,1,0,0,0,0,14,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,67,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,79,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,3,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,7,0,0,0,0,0,0,0,0,0,117 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..947466157646e45e5b4fd407d59c63be7f0c7e08 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,26,0,1,0,3,1,1,1,0,0,2 +Sit to stand,4,13,0,2,0,0,0,0,0,0,0 +Stand to sit,3,1,11,6,0,0,0,0,0,0,0 +Sitting,0,4,0,9,0,0,0,0,0,0,0 +Stair up,1,0,0,0,6,0,0,1,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,3,0,0,0,0 +Ramp down,0,0,0,0,1,0,0,5,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,2,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..031bf1c69aed31da3f70226599b9d704ef2afae8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9463519313304721,0.9524838012958964,0.9494079655543596,463.0,466,463 +Sit to stand,0.851063829787234,0.8,0.8247422680412371,50.0,47,50 +Stand to sit,0.9791666666666666,0.7966101694915254,0.8785046728971962,59.0,48,59 +Sitting,0.8811881188118812,0.956989247311828,0.9175257731958762,93.0,101,93 +Stair up,0.9125,0.9733333333333334,0.9419354838709677,75.0,80,75 +Stair down,0.8333333333333334,0.8823529411764706,0.8571428571428571,17.0,18,17 +Ramp up,0.9859154929577465,1.0,0.9929078014184397,70.0,71,70 +Ramp down,0.9655172413793104,0.9882352941176471,0.9767441860465116,85.0,87,85 +Grass walking,1.0,1.0,1.0,5.0,5,5 +Uneven ground walking,1.0,0.6363636363636364,0.7777777777777778,11.0,7,11 +Carry,0.9444444444444444,0.9296875,0.937007874015748,128.0,126,128 +accuracy,0.9375,0.9375,0.9375,0.9375,0,0 +macro avg,0.9363164598828263,0.9014596293718488,0.9139724236328157,1056.0,0,0 +weighted avg,0.9384579258125453,0.9375,0.9367524898356516,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..477ce2477f583ec54749241068eb95cdae51447f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.969626168224299,0.969626168224299,0.969626168224299,428.0,428,428 +Sit to stand,0.9310344827586207,0.8709677419354839,0.9,31.0,29,31 +Stand to sit,1.0,0.9473684210526315,0.972972972972973,38.0,36,38 +Sitting,0.9523809523809523,1.0,0.975609756097561,80.0,84,80 +Stair up,0.9571428571428572,1.0,0.9781021897810219,67.0,70,67 +Stair down,0.875,0.9333333333333333,0.9032258064516129,15.0,16,15 +Ramp up,1.0,1.0,1.0,67.0,67,67 +Ramp down,0.9875,1.0,0.9937106918238994,79.0,80,79 +Grass walking,1.0,1.0,1.0,3.0,3,3 +Uneven ground walking,1.0,0.7,0.8235294117647058,10.0,7,10 +Carry,0.9590163934426229,0.9435483870967742,0.9512195121951219,124.0,122,124 +accuracy,0.9681528662420382,0.9681528662420382,0.9681528662420382,0.9681528662420382,0,0 +macro avg,0.9665182594499412,0.9422585501493201,0.951636046301018,942.0,0,0 +weighted avg,0.9684040863815818,0.9681528662420382,0.9678265876399265,942.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb1783464adbc36593f22ab9988ad10dc2799f60 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6842105263157895,0.7428571428571429,0.7123287671232876,35.0,38,35 +Sit to stand,0.7222222222222222,0.6842105263157895,0.7027027027027027,19.0,18,19 +Stand to sit,0.9166666666666666,0.5238095238095238,0.6666666666666666,21.0,12,21 +Sitting,0.5294117647058824,0.6923076923076923,0.6,13.0,17,13 +Stair up,0.6,0.75,0.6666666666666666,8.0,10,8 +Stair down,0.5,0.5,0.5,2.0,2,2 +Ramp up,0.75,1.0,0.8571428571428571,3.0,4,3 +Ramp down,0.7142857142857143,0.8333333333333334,0.7692307692307693,6.0,7,6 +Grass walking,1.0,1.0,1.0,2.0,2,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.5,0.5,0.5,4.0,4,4 +accuracy,0.6842105263157895,0.6842105263157895,0.6842105263157895,0.6842105263157895,0,0 +macro avg,0.628799717654207,0.6569562016930438,0.6340671299575409,114.0,0,0 +weighted avg,0.7029619111418036,0.6842105263157895,0.6807281115860785,114.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..51c79be1dddf1a9c081598202a260ed97e894cb1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,435,2,2,0,10,3,1,1,1,0,6 +Sit to stand,6,39,0,4,0,0,0,0,0,0,0 +Stand to sit,4,0,49,6,0,0,0,0,0,0,0 +Sitting,0,2,0,92,0,0,0,0,0,0,0 +Stair up,3,0,0,0,71,0,0,0,0,0,0 +Stair down,1,0,0,0,0,15,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,71,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,83,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,7,0 +Carry,10,0,0,0,0,0,0,0,0,0,118 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5161423c21860764091b490e8c638999d8568929 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,413,1,0,0,5,2,0,0,0,0,4 +Sit to stand,1,28,0,2,0,0,0,0,0,0,0 +Stand to sit,1,0,36,1,0,0,0,0,0,0,0 +Sitting,0,0,0,81,0,0,0,0,0,0,0 +Stair up,1,0,0,0,65,0,0,0,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,69,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,79,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,9,0,0,0,0,0,0,0,0,0,116 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fa7861c11c97752bf5223377e0c9a054debbf9a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,22,1,2,0,5,1,1,1,1,0,2 +Sit to stand,5,11,0,2,0,0,0,0,0,0,0 +Stand to sit,3,0,13,5,0,0,0,0,0,0,0 +Sitting,0,2,0,11,0,0,0,0,0,0,0 +Stair up,2,0,0,0,6,0,0,0,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,2,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,4,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,1,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..fc144a4d083051c77207bdd709115413f07e7d83 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9314775160599572,0.9436008676789588,0.9375,461.0,467,461 +Sit to stand,0.9069767441860465,0.7959183673469388,0.8478260869565217,49.0,43,49 +Stand to sit,0.9607843137254902,0.8305084745762712,0.8909090909090909,59.0,51,59 +Sitting,0.9019607843137255,0.9787234042553191,0.9387755102040817,94.0,102,94 +Stair up,0.8765432098765432,0.9594594594594594,0.9161290322580645,74.0,81,74 +Stair down,0.8333333333333334,0.9375,0.8823529411764706,16.0,18,16 +Ramp up,0.9861111111111112,0.9861111111111112,0.9861111111111112,72.0,72,72 +Ramp down,0.9880952380952381,0.9651162790697675,0.9764705882352941,86.0,84,86 +Grass walking,0.8571428571428571,1.0,0.9230769230769231,6.0,7,6 +Uneven ground walking,1.0,0.6363636363636364,0.7777777777777778,11.0,7,11 +Carry,0.9516129032258065,0.921875,0.9365079365079365,128.0,124,128 +accuracy,0.9337121212121212,0.9337121212121212,0.9337121212121212,0.9337121212121212,0,0 +macro avg,0.9267307282791009,0.9050160545328602,0.9103124543830248,1056.0,0,0 +weighted avg,0.9350820205494308,0.9337121212121212,0.9331384579402257,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d847789cf0a6e5a75cbb3dbe35d9ab9547efcf13 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9627039627039627,0.971764705882353,0.9672131147540983,425.0,429,425 +Sit to stand,0.9655172413793104,0.9032258064516129,0.9333333333333333,31.0,29,31 +Stand to sit,1.0,0.9473684210526315,0.972972972972973,38.0,36,38 +Sitting,0.9642857142857143,1.0,0.9818181818181818,81.0,84,81 +Stair up,0.9285714285714286,0.9848484848484849,0.9558823529411765,66.0,70,66 +Stair down,0.875,1.0,0.9333333333333333,14.0,16,14 +Ramp up,1.0,1.0,1.0,69.0,69,69 +Ramp down,1.0,0.9875,0.9937106918238994,80.0,79,80 +Grass walking,1.0,1.0,1.0,4.0,4,4 +Uneven ground walking,1.0,0.7,0.8235294117647058,10.0,7,10 +Carry,0.9666666666666667,0.928,0.9469387755102041,125.0,120,125 +accuracy,0.9671261930010604,0.9671261930010604,0.9671261930010604,0.9671261930010604,0,0 +macro avg,0.9693404557824621,0.9475188562031893,0.9553392880229006,943.0,0,0 +weighted avg,0.9677162344731001,0.9671261930010604,0.9668648474731598,943.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..f1f58b8e812022b0a00ee95e2f3a76132172b961 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5789473684210527,0.6111111111111112,0.5945945945945946,36.0,38,36 +Sit to stand,0.7857142857142857,0.6111111111111112,0.6875,18.0,14,18 +Stand to sit,0.8666666666666667,0.6190476190476191,0.7222222222222222,21.0,15,21 +Sitting,0.6111111111111112,0.8461538461538461,0.7096774193548387,13.0,18,13 +Stair up,0.5454545454545454,0.75,0.631578947368421,8.0,11,8 +Stair down,0.5,0.5,0.5,2.0,2,2 +Ramp up,0.6666666666666666,0.6666666666666666,0.6666666666666666,3.0,3,3 +Ramp down,0.8,0.6666666666666666,0.7272727272727273,6.0,5,6 +Grass walking,0.6666666666666666,1.0,0.8,2.0,3,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.5,0.6666666666666666,0.5714285714285714,3.0,4,3 +accuracy,0.6548672566371682,0.6548672566371682,0.6548672566371682,0.6548672566371682,0,0 +macro avg,0.5928388464273632,0.6306748806748806,0.600994649900731,113.0,0,0 +weighted avg,0.6736847482073379,0.6548672566371682,0.6540126741641983,113.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..dbcbd179003107347434131da6353323dd9a6314 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,439,0,3,0,6,2,0,2,1,0,5 +Sit to stand,7,37,1,5,0,0,0,0,0,0,0 +Stand to sit,4,3,49,2,0,0,0,0,0,0,0 +Sitting,0,3,0,92,0,0,0,0,0,0,0 +Stair up,1,0,0,0,73,0,0,1,0,0,0 +Stair down,2,0,0,0,0,15,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,72,0,0,0,0 +Ramp down,2,0,0,0,1,0,0,83,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,9,0,0,0,0,0,0,0,0,0,118 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7cc746110b96cc716afc1202a7e300d9e5753f43 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,412,0,1,0,3,1,0,1,0,0,4 +Sit to stand,3,25,0,3,0,0,0,0,0,0,0 +Stand to sit,1,1,35,0,0,0,0,0,0,0,0 +Sitting,0,0,0,81,0,0,0,0,0,0,0 +Stair up,0,0,0,0,67,0,0,0,0,0,0 +Stair down,1,0,0,0,0,14,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,70,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,79,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,7,0 +Carry,8,0,0,0,0,0,0,0,0,0,116 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..69143a14a2251a223032202ca0d1555b38776726 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,27,0,2,0,3,1,0,1,1,0,1 +Sit to stand,4,12,1,2,0,0,0,0,0,0,0 +Stand to sit,3,2,14,2,0,0,0,0,0,0,0 +Sitting,0,3,0,11,0,0,0,0,0,0,0 +Stair up,1,0,0,0,6,0,0,1,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,2,0,0,0,0 +Ramp down,1,0,0,0,1,0,0,4,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,1,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..28c35ca7d41c37038f83bd86289cfb8455e04830 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.938034188034188,0.9585152838427947,0.9481641468682506,458.0,468,458 +Sit to stand,0.8604651162790697,0.74,0.7956989247311828,50.0,43,50 +Stand to sit,0.9245283018867925,0.8448275862068966,0.8828828828828829,58.0,53,58 +Sitting,0.9292929292929293,0.968421052631579,0.9484536082474226,95.0,99,95 +Stair up,0.9125,0.9733333333333334,0.9419354838709677,75.0,80,75 +Stair down,0.8823529411764706,0.8823529411764706,0.8823529411764706,17.0,17,17 +Ramp up,1.0,0.9863013698630136,0.993103448275862,73.0,72,73 +Ramp down,0.9651162790697675,0.9651162790697675,0.9651162790697675,86.0,86,86 +Grass walking,0.875,1.0,0.9333333333333333,7.0,8,7 +Uneven ground walking,1.0,0.7,0.8235294117647058,10.0,7,10 +Carry,0.959349593495935,0.9291338582677166,0.944,127.0,123,127 +accuracy,0.9393939393939394,0.9393939393939394,0.9393939393939394,0.9393939393939394,0,0 +macro avg,0.9315126681122865,0.9043637913083246,0.9144154963837132,1056.0,0,0 +weighted avg,0.9393449641097137,0.9393939393939394,0.9385916344302757,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f2f4d1d90ec79e4dd4fa08220b51fee0b3d8dfb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9626168224299065,0.976303317535545,0.9694117647058823,422.0,428,422 +Sit to stand,0.9615384615384616,0.8064516129032258,0.8771929824561403,31.0,26,31 +Stand to sit,0.9722222222222222,0.9459459459459459,0.958904109589041,37.0,36,37 +Sitting,0.9642857142857143,1.0,0.9818181818181818,81.0,84,81 +Stair up,0.9571428571428572,1.0,0.9781021897810219,67.0,70,67 +Stair down,0.9333333333333333,0.9333333333333333,0.9333333333333333,15.0,15,15 +Ramp up,1.0,1.0,1.0,70.0,70,70 +Ramp down,0.9875,0.9875,0.9875,80.0,80,80 +Grass walking,1.0,1.0,1.0,5.0,5,5 +Uneven ground walking,1.0,0.7777777777777778,0.875,9.0,7,9 +Carry,0.9666666666666667,0.9354838709677419,0.9508196721311475,124.0,120,124 +accuracy,0.9681190223166843,0.9681190223166843,0.9681190223166843,0.9681190223166843,0,0 +macro avg,0.9732096434199238,0.9420723507694155,0.9556438394377044,941.0,0,0 +weighted avg,0.9682323002632477,0.9681190223166843,0.967694960684039,941.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1d0892dd725f5a06b1c55968b92f988fd577c458 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.675,0.75,0.7105263157894737,36.0,40,36 +Sit to stand,0.7058823529411765,0.631578947368421,0.6666666666666666,19.0,17,19 +Stand to sit,0.8235294117647058,0.6666666666666666,0.7368421052631579,21.0,17,21 +Sitting,0.7333333333333333,0.7857142857142857,0.7586206896551724,14.0,15,14 +Stair up,0.6,0.75,0.6666666666666666,8.0,10,8 +Stair down,0.5,0.5,0.5,2.0,2,2 +Ramp up,1.0,0.6666666666666666,0.8,3.0,2,3 +Ramp down,0.6666666666666666,0.6666666666666666,0.6666666666666666,6.0,6,6 +Grass walking,0.6666666666666666,1.0,0.8,2.0,3,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.6666666666666666,0.6666666666666666,0.6666666666666666,3.0,3,3 +accuracy,0.7043478260869566,0.7043478260869566,0.7043478260869566,0.7043478260869566,0,0 +macro avg,0.639795008912656,0.6439963545226702,0.6338777979431337,115.0,0,0 +weighted avg,0.7078772378516622,0.7043478260869566,0.7015071411662589,115.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e4d3d70e7f6288de07a8cec638f1af45062885ec --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,439,0,4,0,6,2,0,4,1,0,5 +Sit to stand,8,36,0,6,0,0,0,0,0,0,0 +Stand to sit,4,2,50,1,0,0,0,0,0,0,0 +Sitting,0,4,0,90,0,0,0,0,0,0,0 +Stair up,1,0,0,0,74,0,0,0,0,0,0 +Stair down,2,0,0,0,0,15,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,73,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,83,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,13,0,0,0,0,0,0,0,0,0,113 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5eb57d5426cda20869ffbabeb612cef4cdc0d9dc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,414,0,1,0,2,1,0,2,0,0,4 +Sit to stand,2,26,0,3,0,0,0,0,0,0,0 +Stand to sit,1,0,34,0,0,0,0,0,0,0,0 +Sitting,0,0,0,81,0,0,0,0,0,0,0 +Stair up,0,0,0,0,67,0,0,0,0,0,0 +Stair down,1,0,0,0,0,14,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,70,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,78,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,7,0 +Carry,11,0,0,0,0,0,0,0,0,0,112 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5d640a9b62f5ea46cf87ecfb6a6efce7f64692c7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,25,0,3,0,4,1,0,2,1,0,1 +Sit to stand,6,10,0,3,0,0,0,0,0,0,0 +Stand to sit,3,2,16,1,0,0,0,0,0,0,0 +Sitting,0,4,0,9,0,0,0,0,0,0,0 +Stair up,1,0,0,0,7,0,0,0,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,3,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,5,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,2,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e6f679e873cb6ab4bc61c50ec0a74b3e0a0624a8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9300847457627118,0.9522776572668112,0.9410503751339764,461.0,472,461 +Sit to stand,0.8571428571428571,0.72,0.782608695652174,50.0,42,50 +Stand to sit,0.9259259259259259,0.8771929824561403,0.9009009009009009,57.0,54,57 +Sitting,0.9278350515463918,0.9574468085106383,0.9424083769633508,94.0,97,94 +Stair up,0.925,0.9866666666666667,0.9548387096774194,75.0,80,75 +Stair down,0.8823529411764706,0.8823529411764706,0.8823529411764706,17.0,17,17 +Ramp up,1.0,1.0,1.0,73.0,73,73 +Ramp down,0.9540229885057471,0.9764705882352941,0.9651162790697675,85.0,87,85 +Grass walking,0.8888888888888888,1.0,0.9411764705882353,8.0,9,8 +Uneven ground walking,1.0,0.7,0.8235294117647058,10.0,7,10 +Carry,0.9576271186440678,0.8968253968253969,0.9262295081967213,126.0,118,126 +accuracy,0.9356060606060606,0.9356060606060606,0.9356060606060606,0.9356060606060606,0,0 +macro avg,0.9317164106902781,0.9044757310124926,0.9145646971930657,1056.0,0,0 +weighted avg,0.9354730732577119,0.9356060606060606,0.9346683781885934,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f92e1cfff76a90e95d700dc0e622e083aa0ea49 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9605568445475638,0.9764150943396226,0.968421052631579,424.0,431,424 +Sit to stand,1.0,0.8387096774193549,0.9122807017543859,31.0,26,31 +Stand to sit,0.9714285714285714,0.9714285714285714,0.9714285714285714,35.0,35,35 +Sitting,0.9642857142857143,1.0,0.9818181818181818,81.0,84,81 +Stair up,0.9710144927536232,1.0,0.9852941176470589,67.0,69,67 +Stair down,0.9333333333333333,0.9333333333333333,0.9333333333333333,15.0,15,15 +Ramp up,1.0,1.0,1.0,70.0,70,70 +Ramp down,0.975,1.0,0.9873417721518988,78.0,80,78 +Grass walking,1.0,1.0,1.0,6.0,6,6 +Uneven ground walking,1.0,0.7777777777777778,0.875,9.0,7,9 +Carry,0.9655172413793104,0.9105691056910569,0.9372384937238494,123.0,116,123 +accuracy,0.9680511182108626,0.9680511182108626,0.9680511182108626,0.9680511182108626,0,0 +macro avg,0.9764669270661923,0.9462030509081562,0.9592869294989872,939.0,0,0 +weighted avg,0.9683171849302,0.9680511182108626,0.9676264106876279,939.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..00f9feb86a417874a3d4cee8135eee5f20cfb911 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6097560975609756,0.6756756756756757,0.6410256410256411,37.0,41,37 +Sit to stand,0.625,0.5263157894736842,0.5714285714285714,19.0,16,19 +Stand to sit,0.8421052631578947,0.7272727272727273,0.7804878048780488,22.0,19,22 +Sitting,0.6923076923076923,0.6923076923076923,0.6923076923076923,13.0,13,13 +Stair up,0.6363636363636364,0.875,0.7368421052631579,8.0,11,8 +Stair down,0.5,0.5,0.5,2.0,2,2 +Ramp up,1.0,1.0,1.0,3.0,3,3 +Ramp down,0.7142857142857143,0.7142857142857143,0.7142857142857143,7.0,7,7 +Grass walking,0.6666666666666666,1.0,0.8,2.0,3,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.5,0.3333333333333333,0.4,3.0,2,3 +accuracy,0.6752136752136753,0.6752136752136753,0.6752136752136753,0.6752136752136753,0,0 +macro avg,0.6169531882129617,0.6403809938498933,0.6214888662898933,117.0,0,0 +weighted avg,0.6742438788330958,0.6752136752136753,0.6704321378163582,117.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..d3082936e7ccc835b5262cc571b972acaa6d6212 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,434,0,5,1,7,1,0,2,1,0,4 +Sit to stand,9,34,1,6,0,0,0,0,0,0,0 +Stand to sit,4,1,51,5,0,0,0,0,0,0,0 +Sitting,0,5,2,87,0,0,0,0,0,0,0 +Stair up,1,0,0,0,72,0,0,2,0,0,0 +Stair down,2,0,0,0,0,15,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,75,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,81,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,6,0 +Carry,11,0,0,0,0,0,0,0,0,0,114 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a3bf623072f00cf3829257d0d44ef3ffb2c4ade --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,412,0,2,0,4,0,0,1,0,0,3 +Sit to stand,4,23,0,4,0,0,0,0,0,0,0 +Stand to sit,3,0,33,2,0,0,0,0,0,0,0 +Sitting,0,0,0,80,0,0,0,0,0,0,0 +Stair up,0,0,0,0,66,0,0,1,0,0,0 +Stair down,1,0,0,0,0,14,0,0,0,0,0 +Ramp up,0,0,0,0,0,0,73,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,79,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,6,0 +Carry,10,0,0,0,0,0,0,0,0,0,112 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a984a9c858f86fe49a66f8d54c4682dab2d8154a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,22,0,3,1,3,1,0,1,1,0,1 +Sit to stand,5,11,1,2,0,0,0,0,0,0,0 +Stand to sit,1,1,18,3,0,0,0,0,0,0,0 +Sitting,0,5,2,7,0,0,0,0,0,0,0 +Stair up,1,0,0,0,6,0,0,1,0,0,0 +Stair down,1,0,0,0,0,1,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,2,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,2,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,1,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f23c6fbe2c33a6f9391b40594d6c92f7b2b81735 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9253731343283582,0.9538461538461539,0.9393939393939394,455.0,469,455 +Sit to stand,0.85,0.68,0.7555555555555555,50.0,40,50 +Stand to sit,0.864406779661017,0.8360655737704918,0.85,61.0,59,61 +Sitting,0.8787878787878788,0.925531914893617,0.9015544041450777,94.0,99,94 +Stair up,0.9113924050632911,0.96,0.935064935064935,75.0,79,75 +Stair down,0.9375,0.8823529411764706,0.9090909090909091,17.0,16,17 +Ramp up,1.0,0.9868421052631579,0.9933774834437086,76.0,75,76 +Ramp down,0.9529411764705882,0.9529411764705882,0.9529411764705882,85.0,85,85 +Grass walking,0.9,1.0,0.9473684210526315,9.0,10,9 +Uneven ground walking,1.0,0.6666666666666666,0.8,9.0,6,9 +Carry,0.9661016949152542,0.912,0.9382716049382716,125.0,118,125 +accuracy,0.9261363636363636,0.9261363636363636,0.9261363636363636,0.9261363636363636,0,0 +macro avg,0.9260457335660353,0.8869315029170134,0.9020562208323288,1056.0,0,0 +weighted avg,0.9261688376221017,0.9261363636363636,0.9250847584512808,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..47e0e21049c8dfa5a561a4fb55431a9d5a4dfe6c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9537037037037037,0.976303317535545,0.9648711943793911,422.0,432,422 +Sit to stand,1.0,0.7419354838709677,0.8518518518518519,31.0,23,31 +Stand to sit,0.9428571428571428,0.868421052631579,0.9041095890410958,38.0,35,38 +Sitting,0.9302325581395349,1.0,0.963855421686747,80.0,86,80 +Stair up,0.9428571428571428,0.9850746268656716,0.9635036496350365,67.0,70,67 +Stair down,1.0,0.9333333333333333,0.9655172413793104,15.0,14,15 +Ramp up,1.0,1.0,1.0,73.0,73,73 +Ramp down,0.9753086419753086,1.0,0.9875,79.0,81,79 +Grass walking,1.0,1.0,1.0,7.0,7,7 +Uneven ground walking,1.0,0.75,0.8571428571428571,8.0,6,8 +Carry,0.9739130434782609,0.9180327868852459,0.9451476793248945,122.0,115,122 +accuracy,0.9607218683651805,0.9607218683651805,0.9607218683651805,0.9607218683651805,0,0 +macro avg,0.9744429302737359,0.9248273273747585,0.945772680403744,942.0,0,0 +weighted avg,0.9615162862362241,0.9607218683651805,0.9599392913323023,942.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2e73258bd92b3bd0dd1a140bee3c0b6ce881d310 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5945945945945946,0.6666666666666666,0.6285714285714286,33.0,37,33 +Sit to stand,0.6470588235294118,0.5789473684210527,0.6111111111111112,19.0,17,19 +Stand to sit,0.75,0.782608695652174,0.7659574468085106,23.0,24,23 +Sitting,0.5384615384615384,0.5,0.5185185185185185,14.0,13,14 +Stair up,0.6666666666666666,0.75,0.7058823529411765,8.0,9,8 +Stair down,0.5,0.5,0.5,2.0,2,2 +Ramp up,1.0,0.6666666666666666,0.8,3.0,2,3 +Ramp down,0.5,0.3333333333333333,0.4,6.0,4,6 +Grass walking,0.6666666666666666,1.0,0.8,2.0,3,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.6666666666666666,0.6666666666666666,0.6666666666666666,3.0,3,3 +accuracy,0.6403508771929824,0.6403508771929824,0.6403508771929824,0.6403508771929824,0,0 +macro avg,0.5936468142350496,0.5858990361278691,0.5815188658743101,114.0,0,0 +weighted avg,0.6348321708228828,0.6403508771929824,0.6340114702925672,114.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e4bfdbb1ad144fa485a28b291d5365f00a4a7890 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,426,1,4,1,4,0,0,7,0,0,5 +Sit to stand,18,24,1,8,0,0,0,0,0,0,0 +Stand to sit,10,1,38,12,0,0,0,0,0,0,0 +Sitting,0,4,1,90,0,0,0,0,0,0,0 +Stair up,2,0,0,0,69,0,0,4,0,0,0 +Stair down,2,0,0,0,0,14,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,77,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,83,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,5,0 +Carry,10,0,0,0,0,0,0,0,0,0,113 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..204a54dc4cda387305f2610383045b0a206ed707 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,403,0,2,1,3,0,0,4,0,0,3 +Sit to stand,11,15,0,6,0,0,0,0,0,0,0 +Stand to sit,5,0,29,4,0,0,0,0,0,0,0 +Sitting,0,0,0,80,0,0,0,0,0,0,0 +Stair up,1,0,0,0,64,0,0,2,0,0,0 +Stair down,1,0,0,0,0,14,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,77,0,0,0,0 +Ramp down,0,0,0,0,0,0,0,79,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,11,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,5,0 +Carry,8,0,0,0,0,0,0,0,0,0,112 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..66ebab84b8fc233f7841654fa7e60630a4af879a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,23,1,2,0,1,0,0,3,0,0,2 +Sit to stand,7,9,1,2,0,0,0,0,0,0,0 +Stand to sit,5,1,9,8,0,0,0,0,0,0,0 +Sitting,0,4,1,10,0,0,0,0,0,0,0 +Stair up,1,0,0,0,5,0,0,2,0,0,0 +Stair down,1,0,0,0,0,0,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,0,0,0,0,0 +Ramp down,2,0,0,0,0,0,0,4,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,1,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,0,0 +Carry,2,0,0,0,0,0,0,0,0,0,1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6dd731dfec389c7506d810275e45f3553cdf3761 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.891213389121339,0.9508928571428571,0.9200863930885529,448.0,478,448 +Sit to stand,0.8,0.47058823529411764,0.5925925925925926,51.0,30,51 +Stand to sit,0.8636363636363636,0.6229508196721312,0.7238095238095238,61.0,44,61 +Sitting,0.8108108108108109,0.9473684210526315,0.8737864077669902,95.0,111,95 +Stair up,0.9452054794520548,0.92,0.9324324324324325,75.0,73,75 +Stair down,1.0,0.875,0.9333333333333333,16.0,14,16 +Ramp up,1.0,0.9390243902439024,0.9685534591194969,82.0,77,82 +Ramp down,0.8829787234042553,0.9764705882352941,0.9273743016759777,85.0,94,85 +Grass walking,1.0,0.9230769230769231,0.96,13.0,12,13 +Uneven ground walking,1.0,0.7142857142857143,0.8333333333333334,7.0,5,7 +Carry,0.9576271186440678,0.9186991869918699,0.9377593360995851,123.0,118,123 +accuracy,0.9005681818181818,0.9005681818181818,0.9005681818181818,0.9005681818181818,0,0 +macro avg,0.9228610804608084,0.84166883054504,0.8730055557501654,1056.0,0,0 +weighted avg,0.9010456264930787,0.9005681818181818,0.8961692355546818,1056.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..43653c7925548e063a8cd1ddc5e7ce43107aa12b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9350348027842227,0.96875,0.9515938606847698,416.0,431,416 +Sit to stand,1.0,0.46875,0.6382978723404256,32.0,15,32 +Stand to sit,0.9354838709677419,0.7631578947368421,0.8405797101449275,38.0,31,38 +Sitting,0.8791208791208791,1.0,0.935672514619883,80.0,91,80 +Stair up,0.9552238805970149,0.9552238805970149,0.9552238805970149,67.0,67,67 +Stair down,1.0,0.9333333333333333,0.9655172413793104,15.0,14,15 +Ramp up,1.0,0.9871794871794872,0.9935483870967742,78.0,77,78 +Ramp down,0.9294117647058824,1.0,0.9634146341463414,79.0,85,79 +Grass walking,1.0,1.0,1.0,11.0,11,11 +Uneven ground walking,1.0,0.8333333333333334,0.9090909090909091,6.0,5,6 +Carry,0.9739130434782609,0.9333333333333333,0.9531914893617022,120.0,115,120 +accuracy,0.9437367303609342,0.9437367303609342,0.9437367303609342,0.9437367303609342,0,0 +macro avg,0.9643807492412729,0.8948237511375768,0.9187391363147325,942.0,0,0 +weighted avg,0.9460144692291266,0.9437367303609342,0.9405639290919368,942.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6102dfd52ef49354f2a3036374f74e90cb719f8f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/per_subject_results/subject_Subject29/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.48936170212765956,0.71875,0.5822784810126582,32.0,47,32 +Sit to stand,0.6,0.47368421052631576,0.5294117647058824,19.0,15,19 +Stand to sit,0.6923076923076923,0.391304347826087,0.5,23.0,13,23 +Sitting,0.5,0.6666666666666666,0.5714285714285714,15.0,20,15 +Stair up,0.8333333333333334,0.625,0.7142857142857143,8.0,6,8 +Stair down,0.0,0.0,0.0,1.0,0,1 +Ramp up,0.0,0.0,0.0,4.0,0,4 +Ramp down,0.4444444444444444,0.6666666666666666,0.5333333333333333,6.0,9,6 +Grass walking,1.0,0.5,0.6666666666666666,2.0,1,2 +Uneven ground walking,0.0,0.0,0.0,1.0,0,1 +Carry,0.3333333333333333,0.3333333333333333,0.3333333333333333,3.0,3,3 +accuracy,0.543859649122807,0.543859649122807,0.543859649122807,0.543859649122807,0,0 +macro avg,0.44479822777695116,0.3977641113653699,0.4027943513423782,114.0,0,0 +weighted avg,0.5510174098639944,0.543859649122807,0.5264103731654776,114.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/eval_config.yaml b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/eval_config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..90794bac9715b3379f1b19826cb2144f74778356 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/eval_config.yaml @@ -0,0 +1,220 @@ +__config_file__: train/configs/train/revalexo_cross_population/evi_mae_fusion.yaml +dataloaders: + test: + batch_size: 8 + num_workers: 8 + pin_memory: true + shuffle: false + train: + balancing_method: inverse + batch_size: 8 + num_workers: 8 + pin_memory: true + prefetch_factor: 2 + shuffle: true + use_balanced_sampler: true + validation: + batch_size: 8 + num_workers: 8 + pin_memory: true + shuffle: false +dataset: + base_seed: 42 + config_path: train/configs/datasets/revalexodataset.yaml + modalities: + raw_imu: + column_patterns: + - acc_Pelvis_* + - acc_*_Upper_Leg_* + - acc_*_Lower_Leg_* + - acc_*_Foot_* + name: RevalExoDataset + prediction_horizons: + - 0 + - 0.1 + - 0.2 + - 0.3 + - 0.5 + - 1 + sample_multiplier: + test: 10 + train: 10 + validation: 10 + splits: + test_subjects: + - Subject05 + - Subject06 + - Subject07 + - Subject08 + - Subject17 + - Subject26 + train_subjects: + - Subject01 + - Subject02 + - Subject03 + - Subject11 + - Subject20 + - Subject24 + - Subject29 + val_split_ratio: 0.2 + window_size: 2.0 +logging: + log_dir: train/outputs/train/revalexo_cross_population/evi_mae_fusion + log_frequency: 50 + tensorboard: true +metrics: +- name: Accuracy +- name: F1Score + params: + average: macro + include_precision_recall: true +- name: ClassificationReport + params: + include_csv: true + output_format: dict + zero_division: 0 +- name: ConfusionMatrix + params: + include_csv: true + normalize: false +modalities: + raw_imu: + eval_transforms: + - name: EVI_MAE_IMUTransform + params: + expected_signal_length: 250 + hop_length: 1 + n_fft: 256 + norm_mean: -1.223483 + norm_std: 7.991705 + sampling_rate: 60 + target_height: 128 + target_length: 320 + use_revalexo_mapping: true + win_length: 24 + train_transforms: + - name: EVI_MAE_IMUTransform + params: + expected_signal_length: 250 + hop_length: 1 + n_fft: 256 + norm_mean: -1.223483 + norm_std: 7.991705 + sampling_rate: 60 + target_height: 128 + target_length: 320 + use_revalexo_mapping: true + win_length: 24 + video: + eval_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeVideo + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ShortSideScale + params: + size: 256 + - name: CenterCropVideo + params: + crop_size: + - 224 + - 224 + frames_to_sample: 16 + train_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeVideo + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ShortSideScale + params: + size: 256 + - name: RandomResizedCropVideo + params: + ratio: + - 0.75 + - 1.33 + scale: + - 0.8 + - 1.0 + size: + - 224 + - 224 + - name: RandomHorizontalFlipVideo + params: + p: 0.5 + use_frames: false +models: + fusion_model: + name: EVI_MAE_Fusion + params: + dropout: 0.5 + feature_dim: 768 + freeze_encoders: false + hidden_dim: 512 + imu_model_dict: + channel_num: 12 + enable_graph: true + encoder_depth: 11 + encoder_embed_dim: 768 + encoder_num_heads: 12 + imu_graph_net: gin + patch_size: 16 + plot_height: 128 + target_length: 320 + pretrained_checkpoint: pretrained/EVI-MAE/best_evi_model.pth + shared_classifier_layers: true + video_model_dict: + encoder_depth: 12 + encoder_embed_dim: 384 + encoder_num_heads: 6 + img_size: 224 + mlp_ratio: 4 + patch_size: 16 + qkv_bias: true +task: + loss: + name: CrossEntropyLoss + params: + label_smoothing: 0.1 + type: recognition +training: + checkpointing: + enabled: true + frequency: 1 + horizon_index: 0 + metric: classificationreport_weighted_f1-score + mode: max + save_best_only: false + early_stopping: + enabled: true + min_delta: 0.001 + patience: 15 + epochs: 50 + lr_scheduler: + name: CosineAnnealingLR + params: + T_max: 50 + eta_min: 1.0e-07 + optimizer: + name: AdamW + params: + lr: 5.0e-05 + weight_decay: 0.05 + seed: 42 + val_every: 1 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b03f91fe6eb51ee6fe614349c2204f548e3140d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1824,1,3,7,31,9,10,8,6,12,65 +Sit to stand,86,107,16,20,0,0,0,0,0,0,0 +Stand to sit,86,4,131,47,0,1,0,0,0,0,0 +Sitting,0,7,1,707,0,0,0,0,0,0,0 +Stair up,4,0,0,0,133,0,0,0,0,0,0 +Stair down,13,0,0,0,0,91,0,0,0,0,0 +Ramp up,22,0,0,0,4,3,158,0,0,1,0 +Ramp down,18,0,0,0,0,3,14,213,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,178,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,165,0 +Carry,32,0,0,0,0,0,0,0,0,0,672 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2dcdb4f411c8ddff1e095dca53ec7ca2f2cb6432 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1744,1,0,3,22,4,6,3,1,7,56 +Sit to stand,62,92,12,7,0,0,0,0,0,0,0 +Stand to sit,63,4,122,24,0,0,0,0,0,0,0 +Sitting,0,5,0,664,0,0,0,0,0,0,0 +Stair up,1,0,0,0,124,0,0,0,0,0,0 +Stair down,8,0,0,0,0,86,0,0,0,0,0 +Ramp up,18,0,0,0,4,3,151,0,0,1,0 +Ramp down,13,0,0,0,0,3,14,206,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,159,0 +Carry,21,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b03face9710b315a66b7e0b31355d7aebe57da28 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,80,0,3,4,9,5,4,5,5,5,9 +Sit to stand,24,15,4,13,0,0,0,0,0,0,0 +Stand to sit,23,0,9,23,0,1,0,0,0,0,0 +Sitting,0,2,1,43,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,7,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,7,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,11,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..bb18e2549d49696756df8672f7272d7d87c92aee --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8685714285714285,0.9230769230769231,0.8949950932286556,1976.0,2100,1976 +Sit to stand,0.8991596638655462,0.4672489082969432,0.6149425287356322,229.0,119,229 +Stand to sit,0.8675496688741722,0.48698884758364314,0.6238095238095238,269.0,151,269 +Sitting,0.9052496798975672,0.9888111888111888,0.9451871657754011,715.0,781,715 +Stair up,0.7916666666666666,0.9708029197080292,0.8721311475409836,137.0,168,137 +Stair down,0.8504672897196262,0.875,0.8625592417061612,104.0,107,104 +Ramp up,0.8681318681318682,0.8404255319148937,0.8540540540540541,188.0,182,188 +Ramp down,0.9638009049773756,0.8588709677419355,0.908315565031983,248.0,221,248 +Grass walking,0.967391304347826,0.956989247311828,0.9621621621621622,186.0,184,186 +Uneven ground walking,0.9269662921348315,0.9593023255813954,0.9428571428571428,172.0,178,172 +Carry,0.9118046132971506,0.9545454545454546,0.9326856349757113,704.0,737,704 +accuracy,0.8885957792207793,0.8885957792207793,0.8885957792207793,0.8885957792207793,0,0 +macro avg,0.8927963073167327,0.8438238467792941,0.8557908418070374,4928.0,0,0 +weighted avg,0.8894583741194605,0.8885957792207793,0.8818389929244312,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2f43457aa723b67358aff28d4bdbc10de036bd3f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9008264462809917,0.9442338927991337,0.922019561194819,1847.0,1936,1847 +Sit to stand,0.9019607843137255,0.5317919075144508,0.6690909090909091,173.0,102,173 +Stand to sit,0.9104477611940298,0.5727699530516432,0.7031700288184438,213.0,134,213 +Sitting,0.9512893982808023,0.992526158445441,0.9714703730797366,669.0,698,669 +Stair up,0.8266666666666667,0.992,0.9018181818181819,125.0,150,125 +Stair down,0.8958333333333334,0.9148936170212766,0.9052631578947369,94.0,96,94 +Ramp up,0.8830409356725146,0.8531073446327684,0.867816091954023,177.0,171,177 +Ramp down,0.9856459330143541,0.8728813559322034,0.9258426966292135,236.0,209,236 +Grass walking,0.9942528735632183,0.9829545454545454,0.9885714285714285,176.0,174,176 +Uneven ground walking,0.9520958083832335,0.9814814814814815,0.9665653495440729,162.0,167,162 +Carry,0.9220055710306406,0.9692532942898975,0.9450392576730906,683.0,718,683 +accuracy,0.918331503841932,0.918331503841932,0.918331503841932,0.918331503841932,0,0 +macro avg,0.9203695919757737,0.87344486823844,0.8878788214789689,4555.0,0,0 +weighted avg,0.9189053406679866,0.918331503841932,0.9142415055594726,4555.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ee6d7ca113d5bf751d060ec13f64f804191d665d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4878048780487805,0.6201550387596899,0.5460750853242321,129.0,164,129 +Sit to stand,0.8823529411764706,0.26785714285714285,0.410958904109589,56.0,17,56 +Stand to sit,0.5294117647058824,0.16071428571428573,0.2465753424657534,56.0,17,56 +Sitting,0.5180722891566265,0.9347826086956522,0.6666666666666666,46.0,83,46 +Stair up,0.5,0.75,0.6,12.0,18,12 +Stair down,0.45454545454545453,0.5,0.47619047619047616,10.0,11,10 +Ramp up,0.6363636363636364,0.6363636363636364,0.6363636363636364,11.0,11,11 +Ramp down,0.5833333333333334,0.5833333333333334,0.5833333333333334,12.0,12,12 +Grass walking,0.5,0.5,0.5,10.0,10,10 +Uneven ground walking,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Carry,0.5263157894736842,0.47619047619047616,0.5,21.0,19,21 +accuracy,0.5254691689008043,0.5254691689008043,0.5254691689008043,0.5254691689008043,0,0 +macro avg,0.5603322392962193,0.548126956537656,0.5215992741711144,373.0,0,0 +weighted avg,0.5680150393508221,0.5254691689008043,0.4962693323268157,373.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..0da55bbd31d66101b3008abdb5c960e195f25292 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1819,1,4,6,36,13,11,7,4,10,61 +Sit to stand,81,117,17,15,0,0,0,0,0,0,0 +Stand to sit,97,10,127,39,0,0,0,0,0,0,0 +Sitting,1,21,0,691,0,0,0,0,0,0,0 +Stair up,3,0,0,0,133,0,0,0,0,0,0 +Stair down,12,0,0,0,0,89,0,0,0,0,0 +Ramp up,25,0,0,0,4,2,157,0,0,0,0 +Ramp down,13,0,0,0,0,2,14,221,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,179,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,167,0 +Carry,34,0,0,0,0,0,0,0,0,0,671 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..eeb8cc286ad02f19ec75050dfe2dafdfb01b3ea0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1736,1,0,4,27,7,7,3,1,4,53 +Sit to stand,60,98,12,6,0,0,0,0,0,0,0 +Stand to sit,74,8,118,18,0,0,0,0,0,0,0 +Sitting,0,12,0,652,0,0,0,0,0,0,0 +Stair up,1,0,0,0,123,0,0,0,0,0,0 +Stair down,7,0,0,0,0,84,0,0,0,0,0 +Ramp up,21,0,0,0,4,2,151,0,0,0,0 +Ramp down,8,0,0,0,0,2,13,215,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,160,0 +Carry,24,0,0,0,0,0,0,0,0,0,661 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4276b8635a26742e468dc24b0b5331af26e11297 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,83,0,4,2,9,6,4,4,3,6,8 +Sit to stand,21,19,5,9,0,0,0,0,0,0,0 +Stand to sit,23,2,9,21,0,0,0,0,0,0,0 +Sitting,1,9,0,39,0,0,0,0,0,0,0 +Stair up,2,0,0,0,10,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,6,0,0,0,0 +Ramp down,5,0,0,0,0,0,1,6,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,10,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c07c15bb36201d0515809a5250694995835b4f9e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8666031443544545,0.9224137931034483,0.8936379267993122,1972.0,2099,1972 +Sit to stand,0.785234899328859,0.508695652173913,0.6174142480211082,230.0,149,230 +Stand to sit,0.8581081081081081,0.4652014652014652,0.6033254156769596,273.0,148,273 +Sitting,0.9201065246338216,0.9691444600280504,0.9439890710382514,713.0,751,713 +Stair up,0.7687861271676301,0.9779411764705882,0.86084142394822,136.0,173,136 +Stair down,0.839622641509434,0.8811881188118812,0.8599033816425121,101.0,106,101 +Ramp up,0.8626373626373627,0.8351063829787234,0.8486486486486486,188.0,182,188 +Ramp down,0.9692982456140351,0.884,0.9246861924686193,250.0,228,250 +Grass walking,0.9781420765027322,0.9521276595744681,0.9649595687331537,188.0,183,188 +Uneven ground walking,0.943502824858757,0.9709302325581395,0.9570200573065902,172.0,177,172 +Carry,0.9166666666666666,0.9517730496453901,0.9338900487125957,705.0,732,705 +accuracy,0.8869724025974026,0.8869724025974026,0.8869724025974026,0.8869724025974026,0,0 +macro avg,0.8826098746710783,0.8471383627769152,0.8553014529996337,4928.0,0,0 +weighted avg,0.885983213274118,0.8869724025974026,0.8809021544663314,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..05dcd763c8e02da4f779704c0f81af590da2dee2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8957688338493293,0.9419424850786761,0.9182755884686591,1843.0,1938,1843 +Sit to stand,0.8235294117647058,0.5568181818181818,0.6644067796610169,176.0,119,176 +Stand to sit,0.9076923076923077,0.5412844036697247,0.6781609195402298,218.0,130,218 +Sitting,0.9588235294117647,0.9819277108433735,0.9702380952380952,664.0,680,664 +Stair up,0.7987012987012987,0.9919354838709677,0.8848920863309353,124.0,154,124 +Stair down,0.8842105263157894,0.9230769230769231,0.9032258064516129,91.0,95,91 +Ramp up,0.8830409356725146,0.848314606741573,0.8653295128939829,178.0,171,178 +Ramp down,0.9862385321100917,0.9033613445378151,0.9429824561403509,238.0,218,238 +Grass walking,0.9942857142857143,0.9720670391061452,0.9830508474576272,179.0,175,179 +Uneven ground walking,0.975609756097561,0.9876543209876543,0.9815950920245399,162.0,164,162 +Carry,0.9257703081232493,0.964963503649635,0.9449606862044317,685.0,714,685 +accuracy,0.9153137340939008,0.9153137340939008,0.9153137340939008,0.9153137340939008,0,0 +macro avg,0.9121519230931207,0.8739405457618791,0.8851925336737712,4558.0,0,0 +weighted avg,0.9153061966643742,0.9153137340939008,0.9113768977769932,4558.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..63218f7b6afc2355c918d1a5c307a346d42aaf81 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.515527950310559,0.6434108527131783,0.5724137931034483,129.0,161,129 +Sit to stand,0.6333333333333333,0.35185185185185186,0.4523809523809524,54.0,30,54 +Stand to sit,0.5,0.16363636363636364,0.2465753424657534,55.0,18,55 +Sitting,0.5492957746478874,0.7959183673469388,0.65,49.0,71,49 +Stair up,0.5263157894736842,0.8333333333333334,0.6451612903225806,12.0,19,12 +Stair down,0.45454545454545453,0.5,0.47619047619047616,10.0,11,10 +Ramp up,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Ramp down,0.6,0.5,0.5454545454545454,12.0,10,12 +Grass walking,0.625,0.5555555555555556,0.5882352941176471,9.0,8,9 +Uneven ground walking,0.5384615384615384,0.7,0.6086956521739131,10.0,13,10 +Carry,0.5555555555555556,0.5,0.5263157894736842,20.0,18,20 +accuracy,0.5378378378378378,0.5378378378378378,0.5378378378378378,0.5378378378378378,0,0 +macro avg,0.549408176525687,0.5585187567670201,0.5348047006465065,370.0,0,0 +weighted avg,0.5425813905870791,0.5378378378378378,0.5144663919954603,370.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..195e0a1622c82319bdf9ad45c13f1eb20664e1db --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1820,1,9,5,39,12,12,8,4,12,63 +Sit to stand,78,117,17,14,0,0,0,0,0,0,0 +Stand to sit,98,13,131,29,0,0,0,0,0,0,0 +Sitting,0,40,0,675,0,0,0,0,0,0,0 +Stair up,6,0,0,0,128,0,0,0,0,0,0 +Stair down,12,0,0,0,0,89,0,0,0,0,0 +Ramp up,25,0,0,0,3,2,156,2,0,0,0 +Ramp down,12,0,0,0,0,2,14,220,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,180,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,166,0 +Carry,37,0,0,0,0,0,0,0,0,0,664 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae6510355eafd158359b66f1b1ba7275cc1fae75 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1742,0,2,2,31,5,7,4,1,8,55 +Sit to stand,58,97,10,8,0,0,0,0,0,0,0 +Stand to sit,78,9,120,11,0,0,0,0,0,0,0 +Sitting,0,25,0,639,0,0,0,0,0,0,0 +Stair up,4,0,0,0,120,0,0,0,0,0,0 +Stair down,7,0,0,0,0,85,0,0,0,0,0 +Ramp up,21,0,0,0,3,2,150,2,0,0,0 +Ramp down,8,0,0,0,0,2,13,214,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,160,0 +Carry,26,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..05f2001fdab8b4e6c620683138411ca8494777b6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,78,1,7,3,8,7,5,4,3,4,8 +Sit to stand,20,20,7,6,0,0,0,0,0,0,0 +Stand to sit,20,4,11,18,0,0,0,0,0,0,0 +Sitting,0,15,0,36,0,0,0,0,0,0,0 +Stair up,2,0,0,0,8,0,0,0,0,0,0 +Stair down,5,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,6,0,0,0,0 +Ramp down,4,0,0,0,0,0,1,6,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,11,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..884f4c116df5efbad8076b1b8d6b09c564cb8263 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.866254164683484,0.9168765743073047,0.8908467939304944,1985.0,2101,1985 +Sit to stand,0.6842105263157895,0.5176991150442478,0.5894206549118388,226.0,171,226 +Stand to sit,0.8343949044585988,0.4833948339483395,0.6121495327102804,271.0,157,271 +Sitting,0.9336099585062241,0.9440559440559441,0.9388038942976356,715.0,723,715 +Stair up,0.7529411764705882,0.9552238805970149,0.8421052631578947,134.0,170,134 +Stair down,0.8476190476190476,0.8811881188118812,0.8640776699029126,101.0,105,101 +Ramp up,0.8571428571428571,0.8297872340425532,0.8432432432432433,188.0,182,188 +Ramp down,0.9565217391304348,0.8870967741935484,0.9205020920502092,248.0,230,248 +Grass walking,0.9782608695652174,0.9625668449197861,0.9703504043126685,187.0,184,187 +Uneven ground walking,0.9325842696629213,0.9651162790697675,0.9485714285714286,172.0,178,172 +Carry,0.9133425034387895,0.9472182596291013,0.9299719887955182,701.0,727,701 +accuracy,0.8818993506493507,0.8818993506493507,0.8818993506493507,0.8818993506493507,0,0 +macro avg,0.8688074560903594,0.8445658053290445,0.8500039059894658,4928.0,0,0 +weighted avg,0.8799217729483384,0.8818993506493507,0.8770547150359881,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae14d2c3c0579d1d22a15b63b378e63993029bd0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8937916880451514,0.9380721593968767,0.9153967419863374,1857.0,1949,1857 +Sit to stand,0.7404580152671756,0.5606936416184971,0.6381578947368421,173.0,131,173 +Stand to sit,0.9090909090909091,0.5504587155963303,0.6857142857142857,218.0,132,218 +Sitting,0.9681818181818181,0.9623493975903614,0.9652567975830816,664.0,660,664 +Stair up,0.7792207792207793,0.967741935483871,0.8633093525179856,124.0,154,124 +Stair down,0.9042553191489362,0.9239130434782609,0.9139784946236559,92.0,94,92 +Ramp up,0.8823529411764706,0.8426966292134831,0.8620689655172413,178.0,170,178 +Ramp down,0.9727272727272728,0.9029535864978903,0.936542669584245,237.0,220,237 +Grass walking,0.9942857142857143,0.9830508474576272,0.9886363636363636,177.0,175,177 +Uneven ground walking,0.9523809523809523,0.9876543209876543,0.9696969696969697,162.0,168,162 +Carry,0.9226441631504922,0.9618768328445748,0.9418521177315147,682.0,711,682 +accuracy,0.9108238387379491,0.9108238387379491,0.9108238387379491,0.9108238387379491,0,0 +macro avg,0.901762688425061,0.871041919105948,0.8800555139389565,4564.0,0,0 +weighted avg,0.9105724375393052,0.9108238387379491,0.9074665322212013,4564.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1120aa4d9ca3ce9bde599d5c7a4f9c099cf43108 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5131578947368421,0.609375,0.5571428571428572,128.0,152,128 +Sit to stand,0.5,0.37735849056603776,0.43010752688172044,53.0,40,53 +Stand to sit,0.44,0.20754716981132076,0.28205128205128205,53.0,25,53 +Sitting,0.5714285714285714,0.7058823529411765,0.631578947368421,51.0,63,51 +Stair up,0.5,0.8,0.6153846153846154,10.0,16,10 +Stair down,0.36363636363636365,0.4444444444444444,0.4,9.0,11,9 +Ramp up,0.5,0.6,0.5454545454545454,10.0,12,10 +Ramp down,0.6,0.5454545454545454,0.5714285714285714,11.0,10,11 +Grass walking,0.6666666666666666,0.6,0.631578947368421,10.0,9,10 +Uneven ground walking,0.6,0.6,0.6,10.0,10,10 +Carry,0.5,0.42105263157894735,0.45714285714285713,19.0,16,19 +accuracy,0.5192307692307693,0.5192307692307693,0.5192307692307693,0.5192307692307693,0,0 +macro avg,0.5231717724062221,0.5373740577087701,0.5201700136566628,364.0,0,0 +weighted avg,0.5128748945290299,0.5192307692307693,0.5048484575742548,364.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..b067fc6fedb2934ee328043becbff2058bcbb7a1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1811,1,9,3,38,12,13,9,3,15,55 +Sit to stand,81,117,17,18,0,0,0,0,0,0,0 +Stand to sit,105,17,128,26,0,0,0,0,0,0,0 +Sitting,2,60,0,645,0,0,0,0,0,0,0 +Stair up,5,0,0,0,132,0,0,0,0,0,0 +Stair down,14,0,0,0,0,87,0,0,0,0,0 +Ramp up,22,0,0,0,3,2,158,2,0,0,0 +Ramp down,12,0,0,0,0,2,13,221,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,180,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,168,0 +Carry,40,0,0,0,0,0,0,0,0,0,667 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..be727cf567eccff87117869fe77e1b3aaaf7345d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1730,0,3,2,30,6,7,4,1,10,52 +Sit to stand,59,97,11,10,0,0,0,0,0,0,0 +Stand to sit,85,11,118,7,0,0,0,0,0,0,0 +Sitting,0,41,0,619,0,0,0,0,0,0,0 +Stair up,2,0,0,0,123,0,0,0,0,0,0 +Stair down,10,0,0,0,0,82,0,0,0,0,0 +Ramp up,19,0,0,0,3,2,151,2,0,0,0 +Ramp down,7,0,0,0,0,2,13,214,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,163,0 +Carry,29,0,0,0,0,0,0,0,0,0,658 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a64e88dec0e9af8c05235453a319469f15c915a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,81,1,6,1,8,6,6,5,2,5,3 +Sit to stand,22,20,6,8,0,0,0,0,0,0,0 +Stand to sit,20,6,10,19,0,0,0,0,0,0,0 +Sitting,2,19,0,26,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,5,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,7,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,7,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,11,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8afbea6c6503194850513d888f4feb6cd2f1d0b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.859515899383009,0.919756221432199,0.8886162904808635,1969.0,2107,1969 +Sit to stand,0.6,0.5021459227467812,0.5467289719626168,233.0,195,233 +Stand to sit,0.8311688311688312,0.463768115942029,0.5953488372093023,276.0,154,276 +Sitting,0.9320809248554913,0.9123055162659123,0.9220872051465332,707.0,692,707 +Stair up,0.7630057803468208,0.9635036496350365,0.8516129032258064,137.0,173,137 +Stair down,0.8446601941747572,0.8613861386138614,0.8529411764705882,101.0,103,101 +Ramp up,0.8586956521739131,0.8449197860962567,0.8517520215633423,187.0,184,187 +Ramp down,0.9525862068965517,0.8911290322580645,0.9208333333333333,248.0,232,248 +Grass walking,0.9836065573770492,0.9574468085106383,0.9703504043126685,188.0,183,188 +Uneven ground walking,0.9180327868852459,0.96,0.9385474860335196,175.0,183,175 +Carry,0.9238227146814404,0.9434229137199435,0.933519944016795,707.0,722,707 +accuracy,0.8754058441558441,0.8754058441558441,0.8754058441558441,0.8754058441558441,0,0 +macro avg,0.8606523225402828,0.8381621913837022,0.8429398703413973,4928.0,0,0 +weighted avg,0.8737717095613207,0.8754058441558441,0.8706245672247312,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..48ab5d556d55cef80eccf1e927ffe110ffab395f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8890030832476875,0.9376693766937669,0.9126879451332103,1845.0,1946,1845 +Sit to stand,0.6510067114093959,0.5480225988700564,0.5950920245398773,177.0,149,177 +Stand to sit,0.8939393939393939,0.5339366515837104,0.6685552407932012,221.0,132,221 +Sitting,0.9702194357366771,0.9378787878787879,0.9537750385208013,660.0,638,660 +Stair up,0.7884615384615384,0.984,0.8754448398576512,125.0,156,125 +Stair down,0.8913043478260869,0.8913043478260869,0.8913043478260869,92.0,92,92 +Ramp up,0.8830409356725146,0.8531073446327684,0.867816091954023,177.0,171,177 +Ramp down,0.9727272727272728,0.9067796610169492,0.9385964912280702,236.0,220,236 +Grass walking,0.9942857142857143,0.9830508474576272,0.9886363636363636,177.0,175,177 +Uneven ground walking,0.9421965317919075,0.9878787878787879,0.9644970414201184,165.0,173,165 +Carry,0.9267605633802817,0.9577874818049491,0.9420186113099499,687.0,710,687 +accuracy,0.9050854888206927,0.9050854888206927,0.9050854888206927,0.9050854888206927,0,0 +macro avg,0.8911768662253156,0.8655832623312264,0.8725840032926684,4562.0,0,0 +weighted avg,0.9048442329373328,0.9050854888206927,0.9018682683272999,4562.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..38fdd0a54227bbfd8c0f82d880eff93d291f15ff --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5031055900621118,0.6532258064516129,0.5684210526315789,124.0,161,124 +Sit to stand,0.43478260869565216,0.35714285714285715,0.39215686274509803,56.0,46,56 +Stand to sit,0.45454545454545453,0.18181818181818182,0.2597402597402597,55.0,22,55 +Sitting,0.48148148148148145,0.5531914893617021,0.5148514851485149,47.0,54,47 +Stair up,0.5294117647058824,0.75,0.6206896551724138,12.0,17,12 +Stair down,0.45454545454545453,0.5555555555555556,0.5,9.0,11,9 +Ramp up,0.5384615384615384,0.7,0.6086956521739131,10.0,13,10 +Ramp down,0.5833333333333334,0.5833333333333334,0.5833333333333334,12.0,12,12 +Grass walking,0.75,0.5454545454545454,0.631578947368421,11.0,8,11 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.75,0.45,0.5625,20.0,12,20 +accuracy,0.505464480874317,0.505464480874317,0.505464480874317,0.505464480874317,0,0 +macro avg,0.5436061114391735,0.5299747062834353,0.5219970225739575,366.0,0,0 +weighted avg,0.5066694386237243,0.505464480874317,0.4895118298704823,366.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..68e8f0c2eb3a7d088f221cef7e53f2324779e252 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1802,1,14,4,35,9,11,10,9,21,59 +Sit to stand,74,121,14,19,0,0,0,0,0,0,0 +Stand to sit,119,17,113,23,0,0,0,0,0,0,0 +Sitting,5,95,0,614,0,0,0,0,0,0,0 +Stair up,7,0,0,0,130,0,0,0,0,0,0 +Stair down,18,0,0,0,0,86,0,0,0,0,0 +Ramp up,21,0,0,0,2,1,161,3,0,0,0 +Ramp down,13,0,0,0,0,2,12,221,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,178,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,167,0 +Carry,48,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e0203a25f96f882bfc898400f4db6b25d7b9902 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1718,0,6,2,26,6,6,6,6,16,53 +Sit to stand,54,102,8,9,0,0,0,0,0,0,0 +Stand to sit,85,11,104,15,0,0,0,0,0,0,0 +Sitting,1,69,0,597,0,0,0,0,0,0,0 +Stair up,4,0,0,0,121,0,0,0,0,0,0 +Stair down,13,0,0,0,0,81,0,0,0,0,0 +Ramp up,18,0,0,0,2,1,153,3,0,0,0 +Ramp down,8,0,0,0,0,2,12,214,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,161,0 +Carry,33,0,0,0,0,0,0,0,0,0,650 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..79027f6014a01a4df77b0cb665fa6a65b1efca96 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,84,1,8,2,9,3,5,4,3,5,6 +Sit to stand,20,19,6,10,0,0,0,0,0,0,0 +Stand to sit,34,6,9,8,0,0,0,0,0,0,0 +Sitting,4,26,0,17,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,8,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,7,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,15,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..495a7175b8e1a764170bba89e0ccee3e7b3d17a5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.85,0.9124050632911392,0.8800976800976801,1975.0,2120,1975 +Sit to stand,0.5170940170940171,0.5307017543859649,0.5238095238095238,228.0,234,228 +Stand to sit,0.8014184397163121,0.41544117647058826,0.5472154963680388,272.0,141,272 +Sitting,0.9303030303030303,0.8599439775910365,0.893740902474527,714.0,660,714 +Stair up,0.7784431137724551,0.948905109489051,0.8552631578947368,137.0,167,137 +Stair down,0.8775510204081632,0.8269230769230769,0.8514851485148515,104.0,98,104 +Ramp up,0.875,0.8563829787234043,0.8655913978494624,188.0,184,188 +Ramp down,0.9444444444444444,0.8911290322580645,0.91701244813278,248.0,234,248 +Grass walking,0.9518716577540107,0.956989247311828,0.9544235924932976,186.0,187,186 +Uneven ground walking,0.8882978723404256,0.9709302325581395,0.9277777777777778,172.0,188,172 +Carry,0.9174825174825175,0.9318181818181818,0.9245947850599013,704.0,715,704 +accuracy,0.8622159090909091,0.8622159090909091,0.8622159090909091,0.8622159090909091,0,0 +macro avg,0.8483551012104887,0.8274154391654978,0.8310010827702342,4928.0,0,0 +weighted avg,0.8626718556738282,0.8622159090909091,0.8580532024500532,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..72aa789841f37726673505c659f036be13254942 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8864809081527347,0.9311653116531166,0.908273856727465,1845.0,1938,1845 +Sit to stand,0.5604395604395604,0.5895953757225434,0.5746478873239437,173.0,182,173 +Stand to sit,0.8813559322033898,0.48372093023255813,0.6246246246246246,215.0,118,215 +Sitting,0.9582664526484751,0.8950524737631185,0.9255813953488372,667.0,623,667 +Stair up,0.8120805369127517,0.968,0.8832116788321168,125.0,149,125 +Stair down,0.9,0.8617021276595744,0.8804347826086957,94.0,90,94 +Ramp up,0.8947368421052632,0.864406779661017,0.8793103448275862,177.0,171,177 +Ramp down,0.9596412556053812,0.9067796610169492,0.9324618736383442,236.0,223,236 +Grass walking,0.9664804469273743,0.9829545454545454,0.9746478873239437,176.0,179,176 +Uneven ground walking,0.9096045197740112,0.9938271604938271,0.9498525073746312,162.0,177,162 +Carry,0.9246088193456614,0.9516837481698389,0.937950937950938,683.0,703,683 +accuracy,0.8947946408961125,0.8947946408961125,0.8947946408961125,0.8947946408961125,0,0 +macro avg,0.8776086612831459,0.8571716467115535,0.8609997978710114,4553.0,0,0 +weighted avg,0.8963511328362379,0.8947946408961125,0.8921002246382039,4553.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..43878c9090cd174295d55a242373d96e9fadea07 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.46153846153846156,0.6461538461538462,0.5384615384615384,130.0,182,130 +Sit to stand,0.36538461538461536,0.34545454545454546,0.35514018691588783,55.0,52,55 +Stand to sit,0.391304347826087,0.15789473684210525,0.225,57.0,23,57 +Sitting,0.4594594594594595,0.3617021276595745,0.40476190476190477,47.0,37,47 +Stair up,0.5,0.75,0.6,12.0,18,12 +Stair down,0.625,0.5,0.5555555555555556,10.0,8,10 +Ramp up,0.6153846153846154,0.7272727272727273,0.6666666666666666,11.0,13,11 +Ramp down,0.6363636363636364,0.5833333333333334,0.6086956521739131,12.0,11,12 +Grass walking,0.625,0.5,0.5555555555555556,10.0,8,10 +Uneven ground walking,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Carry,0.5,0.2857142857142857,0.36363636363636365,21.0,12,21 +accuracy,0.4666666666666667,0.4666666666666667,0.4666666666666667,0.4666666666666667,0,0 +macro avg,0.5204445164919473,0.4961386911300379,0.49499109046872325,375.0,0,0 +weighted avg,0.4609472963386007,0.4666666666666667,0.4471492304676376,375.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..985b420354e0efeae6fa9cd4dd0ee656c12ec9c2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1781,6,10,5,32,8,11,17,15,26,62 +Sit to stand,102,102,4,20,0,0,0,0,0,0,0 +Stand to sit,128,12,64,70,0,0,0,0,0,0,0 +Sitting,37,137,0,538,0,0,0,0,0,0,0 +Stair up,6,0,0,0,130,0,0,1,0,0,0 +Stair down,21,0,0,0,0,83,0,0,0,0,0 +Ramp up,26,0,0,0,2,0,158,2,0,0,0 +Ramp down,16,0,0,0,0,2,14,216,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,177,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,164,0 +Carry,60,0,0,0,0,0,0,0,0,0,645 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef75e6003d5d1deba1f4bc851998f367e3bd949f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1693,3,4,4,27,5,5,12,11,22,59 +Sit to stand,75,80,1,17,0,0,0,0,0,0,0 +Stand to sit,89,10,60,59,0,0,0,0,0,0,0 +Sitting,18,121,0,526,0,0,0,0,0,0,0 +Stair up,3,0,0,0,122,0,0,0,0,0,0 +Stair down,13,0,0,0,0,81,0,0,0,0,0 +Ramp up,21,0,0,0,2,0,152,2,0,0,0 +Ramp down,9,0,0,0,0,2,14,211,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,170,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,158,0 +Carry,43,0,0,0,0,0,0,0,0,0,640 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a89e9c1711f98d3778326cdc0fc06705424b4d4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,88,3,6,1,5,3,6,5,4,4,3 +Sit to stand,27,22,3,3,0,0,0,0,0,0,0 +Stand to sit,39,2,4,11,0,0,0,0,0,0,0 +Sitting,19,16,0,12,0,0,0,0,0,0,0 +Stair up,3,0,0,0,8,0,0,1,0,0,0 +Stair down,8,0,0,0,0,2,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,6,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,5,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,17,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4aa6afb3f14f07a2d5e23be94750c47bada2198b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8113895216400911,0.9026862645717182,0.8546065259117083,1973.0,2195,1973 +Sit to stand,0.3968871595330739,0.4473684210526316,0.42061855670103093,228.0,257,228 +Stand to sit,0.8205128205128205,0.23357664233576642,0.36363636363636365,274.0,78,274 +Sitting,0.8499210110584519,0.7556179775280899,0.8,712.0,633,712 +Stair up,0.7926829268292683,0.948905109489051,0.8637873754152824,137.0,164,137 +Stair down,0.8924731182795699,0.7980769230769231,0.8426395939086294,104.0,93,104 +Ramp up,0.8633879781420765,0.8404255319148937,0.8517520215633423,188.0,183,188 +Ramp down,0.9152542372881356,0.8709677419354839,0.8925619834710744,248.0,236,248 +Grass walking,0.921875,0.946524064171123,0.9340369393139841,187.0,192,187 +Uneven ground walking,0.8631578947368421,0.9534883720930233,0.9060773480662984,172.0,190,172 +Carry,0.9123055162659123,0.9148936170212766,0.9135977337110481,705.0,707,705 +accuracy,0.8234577922077922,0.8234577922077922,0.8234577922077922,0.8234577922077922,0,0 +macro avg,0.8218042894805674,0.7829573331990892,0.7857558583362511,4928.0,0,0 +weighted avg,0.8271245939814589,0.8234577922077922,0.8143934302204815,4928.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..fab0cfd85ba055d979e8ce659129cb073cae9b4d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8576494427558258,0.9176151761517615,0.8866195339094004,1845.0,1974,1845 +Sit to stand,0.37383177570093457,0.4624277456647399,0.4134366925064599,173.0,214,173 +Stand to sit,0.9230769230769231,0.27522935779816515,0.42402826855123676,218.0,65,218 +Sitting,0.8679867986798679,0.7909774436090226,0.8276947285601888,665.0,606,665 +Stair up,0.8079470198675497,0.976,0.8840579710144928,125.0,151,125 +Stair down,0.9204545454545454,0.8617021276595744,0.8901098901098901,94.0,88,94 +Ramp up,0.8888888888888888,0.8587570621468926,0.8735632183908046,177.0,171,177 +Ramp down,0.9377777777777778,0.8940677966101694,0.9154013015184381,236.0,225,236 +Grass walking,0.9392265193370166,0.9659090909090909,0.9523809523809523,176.0,181,176 +Uneven ground walking,0.8777777777777778,0.9753086419753086,0.9239766081871345,162.0,180,162 +Carry,0.9155937052932761,0.9370424597364568,0.9261939218523878,683.0,699,683 +accuracy,0.854852876592007,0.854852876592007,0.854852876592007,0.854852876592007,0,0 +macro avg,0.8463828340554894,0.810457900205562,0.8106784624528532,4554.0,0,0 +weighted avg,0.8617693173467992,0.854852876592007,0.8486867423219951,4554.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..af8f83511ffb58883c23124457cd43574cb19c25 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.39819004524886875,0.6875,0.504297994269341,128.0,221,128 +Sit to stand,0.5116279069767442,0.4,0.4489795918367347,55.0,43,55 +Stand to sit,0.3076923076923077,0.07142857142857142,0.11594202898550725,56.0,13,56 +Sitting,0.4444444444444444,0.2553191489361702,0.32432432432432434,47.0,27,47 +Stair up,0.6153846153846154,0.6666666666666666,0.64,12.0,13,12 +Stair down,0.4,0.2,0.26666666666666666,10.0,5,10 +Ramp up,0.5,0.5454545454545454,0.5217391304347826,11.0,12,11 +Ramp down,0.45454545454545453,0.4166666666666667,0.43478260869565216,12.0,11,12 +Grass walking,0.6363636363636364,0.6363636363636364,0.6363636363636364,11.0,11,11 +Uneven ground walking,0.6,0.6,0.6,10.0,10,10 +Carry,0.625,0.22727272727272727,0.3333333333333333,22.0,8,22 +accuracy,0.4411764705882353,0.4411764705882353,0.4411764705882353,0.4411764705882353,0,0 +macro avg,0.4993862191505519,0.42787926934445314,0.4387663013554526,374.0,0,0 +weighted avg,0.44469700437004034,0.4411764705882353,0.4080656134306367,374.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..98934b89df8aeef73717fb477d0772744b7be754 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1474,4,3,19,19,6,1,4,6,27,59 +Sit to stand,24,79,0,7,0,0,0,0,0,0,0 +Stand to sit,110,4,56,31,0,0,0,0,0,0,3 +Sitting,14,6,0,324,0,0,0,0,0,0,0 +Stair up,3,0,0,0,115,0,0,0,0,0,0 +Stair down,19,0,0,0,0,102,0,0,0,0,0 +Ramp up,17,0,0,0,0,0,149,0,0,0,0 +Ramp down,29,0,0,0,0,5,0,178,0,0,0 +Grass walking,16,0,0,0,0,0,0,0,169,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,309,7 +Carry,77,0,0,0,0,0,0,0,0,0,666 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..75f0e5be004a96f019b0e72361f5a7a7395ae18c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1396,4,1,17,13,3,0,1,2,22,54 +Sit to stand,11,56,0,0,0,0,0,0,0,0,0 +Stand to sit,90,3,53,15,0,0,0,0,0,0,3 +Sitting,11,4,0,295,0,0,0,0,0,0,0 +Stair up,0,0,0,0,108,0,0,0,0,0,0 +Stair down,14,0,0,0,0,99,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,147,0,0,0,0 +Ramp down,23,0,0,0,0,5,0,174,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,164,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,304,7 +Carry,65,0,0,0,0,0,0,0,0,0,659 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac65705c794ae06cfea08b3ab755d951deb864ca --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,78,0,2,2,6,3,1,3,4,5,5 +Sit to stand,13,23,0,7,0,0,0,0,0,0,0 +Stand to sit,20,1,3,16,0,0,0,0,0,0,0 +Sitting,3,2,0,29,0,0,0,0,0,0,0 +Stair up,3,0,0,0,7,0,0,0,0,0,0 +Stair down,5,0,0,0,0,3,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,2,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,4,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,12,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..14fda6e3e618b2a0d7276b5c0e95238667e0df6b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8179800221975583,0.9087546239210851,0.860981308411215,1622.0,1802,1622 +Sit to stand,0.8494623655913979,0.7181818181818181,0.7783251231527094,110.0,93,110 +Stand to sit,0.9491525423728814,0.27450980392156865,0.42585551330798477,204.0,59,204 +Sitting,0.8503937007874016,0.9418604651162791,0.8937931034482759,344.0,381,344 +Stair up,0.8582089552238806,0.9745762711864406,0.9126984126984127,118.0,134,118 +Stair down,0.9026548672566371,0.8429752066115702,0.8717948717948718,121.0,113,121 +Ramp up,0.9933333333333333,0.8975903614457831,0.9430379746835443,166.0,150,166 +Ramp down,0.978021978021978,0.839622641509434,0.9035532994923858,212.0,182,212 +Grass walking,0.9657142857142857,0.9135135135135135,0.9388888888888889,185.0,175,185 +Uneven ground walking,0.9196428571428571,0.9223880597014925,0.9210134128166915,335.0,336,335 +Carry,0.9061224489795918,0.8963660834454913,0.9012178619756428,743.0,735,743 +accuracy,0.8704326923076923,0.8704326923076923,0.8704326923076923,0.8704326923076923,0,0 +macro avg,0.9082443051474367,0.8300308044140433,0.8501054336973294,4160.0,0,0 +weighted avg,0.8771820615035404,0.8704326923076923,0.8628819237385118,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6e691006f49ab9657209e33620ce1a1c0b93827b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8476017000607164,0.9226701916721745,0.8835443037974684,1513.0,1647,1513 +Sit to stand,0.835820895522388,0.835820895522388,0.835820895522388,67.0,67,67 +Stand to sit,0.9814814814814815,0.3231707317073171,0.48623853211009177,164.0,54,164 +Sitting,0.9021406727828746,0.9516129032258065,0.9262166405023547,310.0,327,310 +Stair up,0.8925619834710744,1.0,0.9432314410480349,108.0,121,108 +Stair down,0.9252336448598131,0.8761061946902655,0.9,113.0,107,113 +Ramp up,1.0,0.930379746835443,0.9639344262295082,158.0,147,158 +Ramp down,0.9942857142857143,0.8613861386138614,0.9230769230769231,202.0,175,202 +Grass walking,0.9879518072289156,0.9318181818181818,0.9590643274853801,176.0,166,176 +Uneven ground walking,0.9325153374233128,0.9353846153846154,0.9339477726574501,325.0,326,325 +Carry,0.9114799446749654,0.9102209944751382,0.9108500345542502,724.0,723,724 +accuracy,0.8950777202072538,0.8950777202072538,0.8950777202072538,0.8950777202072538,0,0 +macro avg,0.9282793801628415,0.8616882358131992,0.8787204815439864,3860.0,0,0 +weighted avg,0.9004404758463234,0.8950777202072538,0.8895825791903416,3860.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3c0e1775f38e80c9039089614142b1f8aa7be5f0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5032258064516129,0.7155963302752294,0.5909090909090909,109.0,155,109 +Sit to stand,0.8846153846153846,0.5348837209302325,0.6666666666666666,43.0,26,43 +Stand to sit,0.6,0.075,0.13333333333333333,40.0,5,40 +Sitting,0.5370370370370371,0.8529411764705882,0.6590909090909091,34.0,54,34 +Stair up,0.5384615384615384,0.7,0.6086956521739131,10.0,13,10 +Stair down,0.5,0.375,0.42857142857142855,8.0,6,8 +Ramp up,0.6666666666666666,0.25,0.36363636363636365,8.0,3,8 +Ramp down,0.5714285714285714,0.4,0.47058823529411764,10.0,7,10 +Grass walking,0.5555555555555556,0.5555555555555556,0.5555555555555556,9.0,9,9 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.5833333333333334,0.3684210526315789,0.45161290322580644,19.0,12,19 +accuracy,0.5533333333333333,0.5533333333333333,0.5533333333333333,0.5533333333333333,0,0 +macro avg,0.5854839903226999,0.4843088941693804,0.4935145580415622,300.0,0,0 +weighted avg,0.5888830048883813,0.5533333333333333,0.5217644273060493,300.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc8960fb21d6a9bd0bf94635c87bacb7e4edf1ed --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1467,6,10,16,19,6,1,6,6,25,56 +Sit to stand,27,79,1,8,0,0,0,0,0,0,0 +Stand to sit,111,5,61,26,0,0,0,0,0,0,3 +Sitting,15,8,0,316,0,0,0,0,0,0,0 +Stair up,3,0,0,0,116,0,0,0,0,0,0 +Stair down,21,0,0,0,0,100,0,0,0,0,0 +Ramp up,19,0,0,0,0,0,146,0,0,1,0 +Ramp down,27,0,0,0,0,4,0,180,0,0,0 +Grass walking,15,0,0,0,0,0,0,0,169,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,311,7 +Carry,80,0,0,0,0,0,0,0,0,0,666 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..faa7d472b234fe9e2a8d70797c5c13199d01ca00 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1390,6,5,14,12,3,0,2,2,20,52 +Sit to stand,14,60,0,0,0,0,0,0,0,0,0 +Stand to sit,94,4,55,10,0,0,0,0,0,0,3 +Sitting,12,4,0,290,0,0,0,0,0,0,0 +Stair up,1,0,0,0,108,0,0,0,0,0,0 +Stair down,16,0,0,0,0,97,0,0,0,0,0 +Ramp up,12,0,0,0,0,0,145,0,0,1,0 +Ramp down,21,0,0,0,0,4,0,176,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,164,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,306,7 +Carry,66,0,0,0,0,0,0,0,0,0,660 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fceb0b0052b2353ee5a33c4ef49f8b604056f698 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,77,0,5,2,7,3,1,4,4,5,4 +Sit to stand,13,19,1,8,0,0,0,0,0,0,0 +Stand to sit,17,1,6,16,0,0,0,0,0,0,0 +Sitting,3,4,0,26,0,0,0,0,0,0,0 +Stair up,2,0,0,0,8,0,0,0,0,0,0 +Stair down,5,0,0,0,0,3,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,1,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,4,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,14,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d26cb834a9354220f5ddfe6b2caa4a5c0ef4e429 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8140954495005549,0.9066749072929543,0.8578947368421053,1618.0,1802,1618 +Sit to stand,0.8061224489795918,0.6869565217391305,0.7417840375586855,115.0,98,115 +Stand to sit,0.8472222222222222,0.2961165048543689,0.43884892086330934,206.0,72,206 +Sitting,0.8633879781420765,0.9321533923303835,0.8964539007092198,339.0,366,339 +Stair up,0.8592592592592593,0.9747899159663865,0.9133858267716536,119.0,135,119 +Stair down,0.9090909090909091,0.8264462809917356,0.8658008658008658,121.0,110,121 +Ramp up,0.9931972789115646,0.8795180722891566,0.9329073482428115,166.0,147,166 +Ramp down,0.967741935483871,0.8530805687203792,0.906801007556675,211.0,186,211 +Grass walking,0.9657142857142857,0.9184782608695652,0.9415041782729805,184.0,175,184 +Uneven ground walking,0.9228486646884273,0.9283582089552239,0.9255952380952381,335.0,337,335 +Carry,0.9098360655737705,0.8927613941018767,0.9012178619756428,746.0,732,746 +accuracy,0.8680288461538461,0.8680288461538461,0.8680288461538461,0.8680288461538461,0,0 +macro avg,0.8962287725060485,0.8268485480101055,0.8474721747899262,4160.0,0,0 +weighted avg,0.8711601937477994,0.8680288461538461,0.8612864778164669,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5ac7a6c635d57015a5694343b28dedfa4ed0ac39 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8429351121892056,0.9229747675962815,0.8811410459587956,1506.0,1649,1506 +Sit to stand,0.8108108108108109,0.8108108108108109,0.8108108108108109,74.0,74,74 +Stand to sit,0.9166666666666666,0.3313253012048193,0.48672566371681414,166.0,60,166 +Sitting,0.9235668789808917,0.9477124183006536,0.9354838709677419,306.0,314,306 +Stair up,0.9,0.9908256880733946,0.9432314410480349,109.0,120,109 +Stair down,0.9326923076923077,0.8584070796460177,0.8940092165898618,113.0,104,113 +Ramp up,1.0,0.9177215189873418,0.9570957095709571,158.0,145,158 +Ramp down,0.9887640449438202,0.8756218905472637,0.9287598944591029,201.0,178,201 +Grass walking,0.9879518072289156,0.9371428571428572,0.9618768328445748,175.0,166,175 +Uneven ground walking,0.9357798165137615,0.9415384615384615,0.9386503067484663,325.0,327,325 +Carry,0.9141274238227147,0.9090909090909091,0.9116022099447514,726.0,722,726 +accuracy,0.8942731277533039,0.8942731277533039,0.8942731277533039,0.8942731277533039,0,0 +macro avg,0.9230268062590086,0.858470154812619,0.8772170002418102,3859.0,0,0 +weighted avg,0.897940070153414,0.8942731277533039,0.8890912332768565,3859.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..08f4e70d7973dda86703d81925245571e05e2eb2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5032679738562091,0.6875,0.5811320754716981,112.0,153,112 +Sit to stand,0.7916666666666666,0.4634146341463415,0.5846153846153846,41.0,24,41 +Stand to sit,0.5,0.15,0.23076923076923078,40.0,12,40 +Sitting,0.5,0.7878787878787878,0.611764705882353,33.0,52,33 +Stair up,0.5333333333333333,0.8,0.64,10.0,15,10 +Stair down,0.5,0.375,0.42857142857142855,8.0,6,8 +Ramp up,0.5,0.125,0.2,8.0,2,8 +Ramp down,0.5,0.4,0.4444444444444444,10.0,8,10 +Grass walking,0.5555555555555556,0.5555555555555556,0.5555555555555556,9.0,9,9 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.6,0.3,0.4,20.0,10,20 +accuracy,0.53156146179402,0.53156146179402,0.53156146179402,0.53156146179402,0,0 +macro avg,0.5439839572192512,0.46766808887097133,0.4706229841190996,301.0,0,0 +weighted avg,0.5503577399952229,0.53156146179402,0.5061396798005439,301.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..1f052995a05f33241868d73fe8e57720f1864582 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1460,6,17,17,15,7,0,6,9,26,53 +Sit to stand,30,72,1,7,0,0,0,0,0,0,0 +Stand to sit,115,6,65,21,0,0,0,0,0,0,2 +Sitting,16,12,0,315,0,0,0,0,0,0,0 +Stair up,4,0,0,0,115,0,0,0,0,0,0 +Stair down,22,0,0,0,0,99,0,0,0,0,0 +Ramp up,18,0,0,0,0,0,147,0,0,1,0 +Ramp down,27,0,0,0,0,3,0,180,0,0,0 +Grass walking,18,0,0,0,0,0,0,0,167,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,310,7 +Carry,83,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..44d8dc108655ee24ca292d7fc3a6f18e42929a7f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1390,5,8,15,10,4,0,2,5,21,49 +Sit to stand,18,52,0,1,0,0,0,0,0,0,0 +Stand to sit,102,3,54,8,0,0,0,0,0,0,2 +Sitting,14,3,0,293,0,0,0,0,0,0,0 +Stair up,2,0,0,0,107,0,0,0,0,0,0 +Stair down,17,0,0,0,0,96,0,0,0,0,0 +Ramp up,12,0,0,0,0,0,145,0,0,1,0 +Ramp down,20,0,0,0,0,3,0,176,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,162,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,305,7 +Carry,70,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cf2d311e28ea45547cceeccbbb9b5ff5eff23d93 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,70,1,9,2,5,3,0,4,4,5,4 +Sit to stand,12,20,1,6,0,0,0,0,0,0,0 +Stand to sit,13,3,11,13,0,0,0,0,0,0,0 +Sitting,2,9,0,22,0,0,0,0,0,0,0 +Stair up,2,0,0,0,8,0,0,0,0,0,0 +Stair down,5,0,0,0,0,3,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,2,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,4,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,13,0,0,0,0,0,0,0,0,0,6 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..36ccc8c48bcf203c7ce795736f6581d850e088dd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8057395143487859,0.9034653465346535,0.851808634772462,1616.0,1812,1616 +Sit to stand,0.75,0.6545454545454545,0.6990291262135923,110.0,96,110 +Stand to sit,0.7831325301204819,0.31100478468899523,0.4452054794520548,209.0,83,209 +Sitting,0.875,0.9183673469387755,0.8961593172119487,343.0,360,343 +Stair up,0.8846153846153846,0.9663865546218487,0.9236947791164659,119.0,130,119 +Stair down,0.908256880733945,0.8181818181818182,0.8608695652173913,121.0,109,121 +Ramp up,1.0,0.8855421686746988,0.939297124600639,166.0,147,166 +Ramp down,0.967741935483871,0.8571428571428571,0.9090909090909091,210.0,186,210 +Grass walking,0.9488636363636364,0.9027027027027027,0.925207756232687,185.0,176,185 +Uneven ground walking,0.9198813056379822,0.9226190476190477,0.9212481426448736,336.0,337,336 +Carry,0.914364640883978,0.8885906040268456,0.9012933968686181,745.0,724,745 +accuracy,0.8634615384615385,0.8634615384615385,0.8634615384615385,0.8634615384615385,0,0 +macro avg,0.8870541661989151,0.8207771532434271,0.8429912937656039,4160.0,0,0 +weighted avg,0.8650457746761221,0.8634615384615385,0.8574351562218215,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..422812f619410eb8a212306713c18a42da884b6c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8313397129186603,0.9211398277004639,0.8739390128890286,1509.0,1672,1509 +Sit to stand,0.8253968253968254,0.7323943661971831,0.7761194029850746,71.0,63,71 +Stand to sit,0.8709677419354839,0.31952662721893493,0.4675324675324675,169.0,62,169 +Sitting,0.9242902208201893,0.9451612903225807,0.9346092503987241,310.0,317,310 +Stair up,0.9145299145299145,0.981651376146789,0.9469026548672567,109.0,117,109 +Stair down,0.9320388349514563,0.8495575221238938,0.8888888888888888,113.0,103,113 +Ramp up,1.0,0.9177215189873418,0.9570957095709571,158.0,145,158 +Ramp down,0.9887640449438202,0.8844221105527639,0.9336870026525199,199.0,178,199 +Grass walking,0.9700598802395209,0.9257142857142857,0.9473684210526315,175.0,167,175 +Uneven ground walking,0.9327217125382263,0.9355828220858896,0.9341500765696784,326.0,327,326 +Carry,0.9187675070028011,0.9035812672176309,0.9111111111111111,726.0,714,726 +accuracy,0.8890038809831824,0.8890038809831824,0.8890038809831824,0.8890038809831824,0,0 +macro avg,0.9189887632069907,0.8469502740243414,0.8701276362289398,3865.0,0,0 +weighted avg,0.891963642853634,0.8890038809831824,0.8835940588552929,3865.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ac49dbfcc792319ffb24100c32db742724cd1d7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5,0.6542056074766355,0.5668016194331984,107.0,140,107 +Sit to stand,0.6060606060606061,0.5128205128205128,0.5555555555555556,39.0,33,39 +Stand to sit,0.5238095238095238,0.275,0.36065573770491804,40.0,21,40 +Sitting,0.5116279069767442,0.6666666666666666,0.5789473684210527,33.0,43,33 +Stair up,0.6153846153846154,0.8,0.6956521739130435,10.0,13,10 +Stair down,0.5,0.375,0.42857142857142855,8.0,6,8 +Ramp up,1.0,0.25,0.4,8.0,2,8 +Ramp down,0.5,0.36363636363636365,0.42105263157894735,11.0,8,11 +Grass walking,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.6,0.3157894736842105,0.41379310344827586,19.0,10,19 +accuracy,0.5288135593220339,0.5288135593220339,0.5288135593220339,0.5288135593220339,0,0 +macro avg,0.5829489279806404,0.4739198749349445,0.4952132189181913,295.0,0,0 +weighted avg,0.5443453126385724,0.5288135593220339,0.515890954533677,295.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..399994a6586196573afa2dc3d6577e561e44ba4a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1453,5,20,16,15,9,3,6,8,34,56 +Sit to stand,33,65,1,12,0,0,0,0,0,0,0 +Stand to sit,118,5,63,18,0,0,0,0,0,0,2 +Sitting,17,11,0,311,0,0,0,0,0,0,0 +Stair up,4,0,0,0,113,0,0,0,0,0,0 +Stair down,25,0,0,0,0,96,0,0,0,0,0 +Ramp up,15,0,0,0,0,0,149,0,0,1,0 +Ramp down,26,0,0,0,0,1,0,186,0,0,0 +Grass walking,16,0,0,0,0,0,0,0,169,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,312,7 +Carry,85,0,0,0,0,0,0,0,0,0,657 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..56b076ca046a8bd8953297d2d39babe6936876de --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1379,5,11,14,9,6,1,3,4,29,51 +Sit to stand,18,47,0,6,0,0,0,0,0,0,0 +Stand to sit,102,4,53,5,0,0,0,0,0,0,2 +Sitting,14,3,0,289,0,0,0,0,0,0,0 +Stair up,2,0,0,0,107,0,0,0,0,0,0 +Stair down,20,0,0,0,0,93,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,145,0,0,1,0 +Ramp down,21,0,0,0,0,1,0,181,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,164,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,307,7 +Carry,72,0,0,0,0,0,0,0,0,0,652 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..98e3ba0ca6136818614012e8525ff42337ef2edb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,74,0,9,2,6,3,2,3,4,5,5 +Sit to stand,15,18,1,6,0,0,0,0,0,0,0 +Stand to sit,16,1,10,13,0,0,0,0,0,0,0 +Sitting,3,8,0,22,0,0,0,0,0,0,0 +Stair up,2,0,0,0,6,0,0,0,0,0,0 +Stair down,5,0,0,0,0,3,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,5,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,13,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9567800206441250bd9e4db41d37fb6ca795ab64 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8032061912658928,0.8941538461538462,0.8462434478741991,1625.0,1809,1625 +Sit to stand,0.7558139534883721,0.5855855855855856,0.6598984771573604,111.0,86,111 +Stand to sit,0.75,0.3058252427184466,0.43448275862068964,206.0,84,206 +Sitting,0.8711484593837535,0.9174041297935103,0.8936781609195402,339.0,357,339 +Stair up,0.8828125,0.9658119658119658,0.9224489795918367,117.0,128,117 +Stair down,0.9056603773584906,0.7933884297520661,0.8458149779735683,121.0,106,121 +Ramp up,0.9802631578947368,0.9030303030303031,0.9400630914826499,165.0,152,165 +Ramp down,0.96875,0.8732394366197183,0.9185185185185185,213.0,192,213 +Grass walking,0.9548022598870056,0.9135135135135135,0.9337016574585635,185.0,177,185 +Uneven ground walking,0.899135446685879,0.9285714285714286,0.9136163982430454,336.0,347,336 +Carry,0.909972299168975,0.8854447439353099,0.8975409836065574,742.0,722,742 +accuracy,0.8591346153846153,0.8591346153846153,0.8591346153846153,0.8591346153846153,0,0 +macro avg,0.880142240466646,0.8150880568623358,0.8369097683133208,4160.0,0,0 +weighted avg,0.8590945314272397,0.8591346153846153,0.852780048641663,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0038a0aded99d3de349fbf28975e4c1e955405e3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8297232250300842,0.9120370370370371,0.868935097668557,1512.0,1662,1512 +Sit to stand,0.7966101694915254,0.6619718309859155,0.7230769230769231,71.0,59,71 +Stand to sit,0.828125,0.3192771084337349,0.4608695652173913,166.0,64,166 +Sitting,0.9203821656050956,0.9444444444444444,0.932258064516129,306.0,314,306 +Stair up,0.9224137931034483,0.981651376146789,0.9511111111111111,109.0,116,109 +Stair down,0.93,0.8230088495575221,0.8732394366197183,113.0,100,113 +Ramp up,0.9931506849315068,0.9235668789808917,0.9570957095709571,157.0,146,157 +Ramp down,0.9836956521739131,0.8916256157635468,0.9354005167958657,203.0,184,203 +Grass walking,0.9761904761904762,0.9371428571428572,0.956268221574344,175.0,168,175 +Uneven ground walking,0.9109792284866469,0.941717791411043,0.9260935143288085,326.0,337,326 +Carry,0.9157303370786517,0.9005524861878453,0.9080779944289693,724.0,712,724 +accuracy,0.884774728120145,0.884774728120145,0.884774728120145,0.884774728120145,0,0 +macro avg,0.9097273392810316,0.8397269341901478,0.8629478322644342,3862.0,0,0 +weighted avg,0.8861356383203768,0.884774728120145,0.8793741677773067,3862.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b45966d4a71f71f8fa758b75590d0c45167c2e74 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5034013605442177,0.6548672566371682,0.5692307692307692,113.0,147,113 +Sit to stand,0.6666666666666666,0.45,0.5373134328358209,40.0,27,40 +Stand to sit,0.5,0.25,0.3333333333333333,40.0,20,40 +Sitting,0.5116279069767442,0.6666666666666666,0.5789473684210527,33.0,43,33 +Stair up,0.5,0.75,0.6,8.0,12,8 +Stair down,0.5,0.375,0.42857142857142855,8.0,6,8 +Ramp up,0.6666666666666666,0.5,0.5714285714285714,8.0,6,8 +Ramp down,0.625,0.5,0.5555555555555556,10.0,8,10 +Grass walking,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.5,0.2777777777777778,0.35714285714285715,18.0,10,18 +accuracy,0.5268456375838926,0.5268456375838926,0.5268456375838926,0.5268456375838926,0,0 +macro avg,0.5480834687645318,0.4931192455528739,0.5052581005448247,298.0,0,0 +weighted avg,0.5354819806284722,0.5268456375838926,0.5144345490154417,298.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..60e20121a2575bc3b7238afd15f1e708e1d4b401 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1430,6,27,15,14,10,6,11,8,40,57 +Sit to stand,35,58,0,17,0,0,0,0,0,0,0 +Stand to sit,119,4,70,8,0,0,0,0,0,0,3 +Sitting,22,14,0,306,0,0,0,0,0,0,0 +Stair up,6,0,0,0,112,0,0,0,0,0,0 +Stair down,20,0,0,0,0,101,0,0,0,0,0 +Ramp up,16,0,0,0,0,0,149,0,0,1,0 +Ramp down,22,0,0,0,0,0,0,190,0,0,0 +Grass walking,15,0,0,0,0,0,0,0,170,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,310,8 +Carry,94,0,0,0,0,0,0,0,0,0,649 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f1bbbff633b8305587b80dfbed45f9ffb346b231 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1360,6,19,14,9,6,3,7,4,35,52 +Sit to stand,19,40,0,8,0,0,0,0,0,0,0 +Stand to sit,101,0,59,2,0,0,0,0,0,0,2 +Sitting,17,6,0,285,0,0,0,0,0,0,0 +Stair up,3,0,0,0,105,0,0,0,0,0,0 +Stair down,16,0,0,0,0,97,0,0,0,0,0 +Ramp up,12,0,0,0,0,0,145,0,0,1,0 +Ramp down,17,0,0,0,0,0,0,185,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,165,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,305,8 +Carry,80,0,0,0,0,0,0,0,0,0,644 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a2ae281e72444c6eaf8bfe9b574b536f7b260954 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,70,0,8,1,5,4,3,4,4,5,5 +Sit to stand,16,18,0,9,0,0,0,0,0,0,0 +Stand to sit,18,4,11,6,0,0,0,0,0,0,1 +Sitting,5,8,0,21,0,0,0,0,0,0,0 +Stair up,3,0,0,0,7,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,5,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,14,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..8345f9cb413351e087103bf741d9625b2205c33b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7962138084632516,0.8805418719211823,0.8362573099415205,1624.0,1796,1624 +Sit to stand,0.7073170731707317,0.5272727272727272,0.6041666666666666,110.0,82,110 +Stand to sit,0.7216494845360825,0.3431372549019608,0.46511627906976744,204.0,97,204 +Sitting,0.884393063583815,0.8947368421052632,0.8895348837209303,342.0,346,342 +Stair up,0.8888888888888888,0.9491525423728814,0.9180327868852459,118.0,126,118 +Stair down,0.9099099099099099,0.8347107438016529,0.8706896551724138,121.0,111,121 +Ramp up,0.9612903225806452,0.8975903614457831,0.9283489096573209,166.0,155,166 +Ramp down,0.945273631840796,0.8962264150943396,0.9200968523002422,212.0,201,212 +Grass walking,0.9550561797752809,0.918918918918919,0.9366391184573003,185.0,178,185 +Uneven ground walking,0.8831908831908832,0.9253731343283582,0.9037900874635568,335.0,351,335 +Carry,0.905160390516039,0.873485868102288,0.8890410958904109,743.0,717,743 +accuracy,0.8521634615384616,0.8521634615384616,0.8521634615384616,0.8521634615384616,0,0 +macro avg,0.8689403305869386,0.8128315163877595,0.8328830586568524,4160.0,0,0 +weighted avg,0.8511018572960434,0.8521634615384616,0.8468985757504107,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..606fcef549c565c4a3323c8aa18fa3cf8ff443b9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8252427184466019,0.8976897689768977,0.8599430920012646,1515.0,1648,1515 +Sit to stand,0.7692307692307693,0.5970149253731343,0.6722689075630253,67.0,52,67 +Stand to sit,0.7564102564102564,0.3597560975609756,0.48760330578512395,164.0,78,164 +Sitting,0.9223300970873787,0.9253246753246753,0.9238249594813615,308.0,309,308 +Stair up,0.9210526315789473,0.9722222222222222,0.9459459459459459,108.0,114,108 +Stair down,0.941747572815534,0.8584070796460177,0.8981481481481481,113.0,103,113 +Ramp up,0.9797297297297297,0.9177215189873418,0.9477124183006536,158.0,148,158 +Ramp down,0.9635416666666666,0.9158415841584159,0.9390862944162437,202.0,192,202 +Grass walking,0.9763313609467456,0.9375,0.9565217391304348,176.0,169,176 +Uneven ground walking,0.8944281524926686,0.9384615384615385,0.9159159159159159,325.0,341,325 +Carry,0.9121813031161473,0.8895027624309392,0.9006993006993007,724.0,706,724 +accuracy,0.8782383419689119,0.8782383419689119,0.8782383419689119,0.8782383419689119,0,0 +macro avg,0.8965660235019496,0.8372220157401962,0.8588790933988563,3860.0,0,0 +weighted avg,0.8777659944001912,0.8782383419689119,0.8739830362150436,3860.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d85b74fc29d64c52ed256d6121dba05491a17f32 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.47297297297297297,0.6422018348623854,0.5447470817120622,109.0,148,109 +Sit to stand,0.6,0.4186046511627907,0.4931506849315068,43.0,30,43 +Stand to sit,0.5789473684210527,0.275,0.3728813559322034,40.0,19,40 +Sitting,0.5675675675675675,0.6176470588235294,0.5915492957746479,34.0,37,34 +Stair up,0.5833333333333334,0.7,0.6363636363636364,10.0,12,10 +Stair down,0.5,0.5,0.5,8.0,8,8 +Ramp up,0.5714285714285714,0.5,0.5333333333333333,8.0,7,8 +Ramp down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Grass walking,0.5555555555555556,0.5555555555555556,0.5555555555555556,9.0,9,9 +Uneven ground walking,0.5,0.5,0.5,10.0,10,10 +Carry,0.45454545454545453,0.2631578947368421,0.3333333333333333,19.0,11,19 +accuracy,0.5166666666666667,0.5166666666666667,0.5166666666666667,0.5166666666666667,0,0 +macro avg,0.5399914890345512,0.4974697268310094,0.5079300060372693,300.0,0,0 +weighted avg,0.5280197572829152,0.5166666666666667,0.5061254530355632,300.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad755462fa3fbc25b10ec8bda6695301494fdbe3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1423,9,16,17,15,9,10,11,8,46,62 +Sit to stand,33,58,0,19,0,0,0,0,0,0,0 +Stand to sit,115,2,43,37,0,0,0,0,0,0,7 +Sitting,41,22,0,275,0,0,0,0,0,0,2 +Stair up,14,0,0,0,101,0,0,3,0,0,0 +Stair down,19,0,0,0,0,102,0,0,0,0,0 +Ramp up,19,0,0,0,0,0,146,0,0,1,0 +Ramp down,22,0,0,0,0,0,0,190,0,0,0 +Grass walking,15,0,0,0,0,0,0,0,168,2,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,310,8 +Carry,104,0,0,0,0,0,0,0,0,0,639 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..09a982ab2fa2fb5924fb3e82c7396e80a9ce033d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1349,9,13,17,13,5,6,7,4,37,57 +Sit to stand,12,45,0,11,0,0,0,0,0,0,0 +Stand to sit,86,2,36,34,0,0,0,0,0,0,6 +Sitting,25,17,0,263,0,0,0,0,0,0,1 +Stair up,8,0,0,0,97,0,0,3,0,0,0 +Stair down,15,0,0,0,0,98,0,0,0,0,0 +Ramp up,16,0,0,0,0,0,141,0,0,1,0 +Ramp down,16,0,0,0,0,0,0,186,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,163,1,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,305,8 +Carry,92,0,0,0,0,0,0,0,0,0,632 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..84bf5f051bcfe8ffc5613107d967ece085fe7e7c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,74,0,3,0,2,4,4,4,4,9,5 +Sit to stand,21,13,0,8,0,0,0,0,0,0,0 +Stand to sit,29,0,7,3,0,0,0,0,0,0,1 +Sitting,16,5,0,12,0,0,0,0,0,0,1 +Stair up,6,0,0,0,4,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,5,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,4,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,5,1,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,12,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3ac38f34576c5b1230f6987935c799e2fceb1e28 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7810098792535675,0.8751537515375154,0.8254060324825986,1626.0,1822,1626 +Sit to stand,0.6373626373626373,0.5272727272727272,0.5771144278606966,110.0,91,110 +Stand to sit,0.7288135593220338,0.2107843137254902,0.3269961977186312,204.0,59,204 +Sitting,0.7902298850574713,0.8088235294117647,0.7994186046511628,340.0,348,340 +Stair up,0.8706896551724138,0.8559322033898306,0.8632478632478633,118.0,116,118 +Stair down,0.918918918918919,0.8429752066115702,0.8793103448275862,121.0,111,121 +Ramp up,0.9358974358974359,0.8795180722891566,0.906832298136646,166.0,156,166 +Ramp down,0.9313725490196079,0.8962264150943396,0.9134615384615384,212.0,204,212 +Grass walking,0.9545454545454546,0.9081081081081082,0.9307479224376731,185.0,176,185 +Uneven ground walking,0.8635097493036211,0.9253731343283582,0.8933717579250721,335.0,359,335 +Carry,0.8899721448467967,0.8600269179004038,0.8747433264887063,743.0,718,743 +accuracy,0.8305288461538461,0.8305288461538461,0.8305288461538461,0.8305288461538461,0,0 +macro avg,0.8456656244272689,0.780926761788115,0.7991500285671068,4160.0,0,0 +weighted avg,0.8296261016290585,0.8305288461538461,0.8216231608572766,4160.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..40b8ab8a5fd29e3fd52db7f6b894272544cfc55e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8210590383444918,0.8892551087673038,0.8537974683544304,1517.0,1643,1517 +Sit to stand,0.6164383561643836,0.6617647058823529,0.6382978723404256,68.0,73,68 +Stand to sit,0.7346938775510204,0.21951219512195122,0.3380281690140845,164.0,49,164 +Sitting,0.8092307692307692,0.8594771241830066,0.8335974643423137,306.0,325,306 +Stair up,0.8818181818181818,0.8981481481481481,0.8899082568807339,108.0,110,108 +Stair down,0.9514563106796117,0.8672566371681416,0.9074074074074074,113.0,103,113 +Ramp up,0.9591836734693877,0.8924050632911392,0.9245901639344263,158.0,147,158 +Ramp down,0.9489795918367347,0.9207920792079208,0.9346733668341709,202.0,196,202 +Grass walking,0.9760479041916168,0.9261363636363636,0.9504373177842566,176.0,167,176 +Uneven ground walking,0.8866279069767442,0.9384615384615385,0.9118086696562033,325.0,344,325 +Carry,0.8977272727272727,0.8729281767955801,0.8851540616246498,724.0,704,724 +accuracy,0.8585858585858586,0.8585858585858586,0.8585858585858586,0.8585858585858586,0,0 +macro avg,0.8621148075445649,0.813285194605768,0.824336383470282,3861.0,0,0 +weighted avg,0.8576709794749573,0.8585858585858586,0.8513688628818228,3861.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4baaa883ac7aec5f523d2b6873f18ffa66396158 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4134078212290503,0.6788990825688074,0.5138888888888888,109.0,179,109 +Sit to stand,0.7222222222222222,0.30952380952380953,0.43333333333333335,42.0,18,42 +Stand to sit,0.7,0.175,0.28,40.0,10,40 +Sitting,0.5217391304347826,0.35294117647058826,0.42105263157894735,34.0,23,34 +Stair up,0.6666666666666666,0.4,0.5,10.0,6,10 +Stair down,0.5,0.5,0.5,8.0,8,8 +Ramp up,0.5555555555555556,0.625,0.5882352941176471,8.0,9,8 +Ramp down,0.5,0.4,0.4444444444444444,10.0,8,10 +Grass walking,0.5555555555555556,0.5555555555555556,0.5555555555555556,9.0,9,9 +Uneven ground walking,0.3333333333333333,0.5,0.4,10.0,15,10 +Carry,0.5,0.3684210526315789,0.42424242424242425,19.0,14,19 +accuracy,0.4682274247491639,0.4682274247491639,0.4682274247491639,0.4682274247491639,0,0 +macro avg,0.5425891168179242,0.44230369788639445,0.4600684156510219,299.0,0,0 +weighted avg,0.5320346512592873,0.4682274247491639,0.4513063920420226,299.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fbf9721e84b08d9189e985ab590ac6590446b3a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2711,1,6,9,68,33,19,9,13,28,80 +Sit to stand,79,213,1,57,0,0,0,0,0,0,0 +Stand to sit,107,6,202,142,0,0,0,0,0,0,0 +Sitting,2,10,0,507,0,0,0,0,0,0,0 +Stair up,1,0,0,0,253,0,0,0,0,7,0 +Stair down,10,0,0,0,0,256,0,0,0,0,0 +Ramp up,59,0,0,0,3,0,365,0,0,0,0 +Ramp down,155,0,0,0,1,20,95,201,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,422,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,518,0 +Carry,52,0,0,0,0,0,0,0,0,0,1256 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b3fd005c3a3adf646452e502327a1cfa5cd3bd4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2536,1,2,5,50,23,10,6,5,19,58 +Sit to stand,26,158,1,18,0,0,0,0,0,0,0 +Stand to sit,61,3,168,75,0,0,0,0,0,0,0 +Sitting,2,4,0,427,0,0,0,0,0,0,0 +Stair up,0,0,0,0,233,0,0,0,0,7,0 +Stair down,3,0,0,0,0,243,0,0,0,0,0 +Ramp up,49,0,0,0,3,0,358,0,0,0,0 +Ramp down,138,0,0,0,1,20,95,198,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,408,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,506,0 +Carry,38,0,0,0,0,0,0,0,0,0,1225 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..13804d3107618f65f1b05c209ae9990504d47171 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,175,0,4,4,18,10,9,3,8,9,22 +Sit to stand,53,55,0,39,0,0,0,0,0,0,0 +Stand to sit,46,3,34,67,0,0,0,0,0,0,0 +Sitting,0,6,0,80,0,0,0,0,0,0,0 +Stair up,1,0,0,0,20,0,0,0,0,0,0 +Stair down,7,0,0,0,0,13,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,7,0,0,0,0 +Ramp down,17,0,0,0,0,0,0,3,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,14,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,12,0 +Carry,14,0,0,0,0,0,0,0,0,0,31 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..80dffdee4ec45ecbac35a78ff0f5b970e494267c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8474523288527664,0.9106483036614041,0.8779145077720207,2977.0,3199,2977 +Sit to stand,0.9260869565217391,0.6085714285714285,0.7344827586206897,350.0,230,350 +Stand to sit,0.9665071770334929,0.4420131291028446,0.6066066066066066,457.0,209,457 +Sitting,0.7090909090909091,0.976878612716763,0.8217179902755267,519.0,715,519 +Stair up,0.7784615384615384,0.9693486590038314,0.863481228668942,261.0,325,261 +Stair down,0.8284789644012945,0.9624060150375939,0.8904347826086957,266.0,309,266 +Ramp up,0.7620041753653445,0.8548009367681498,0.8057395143487859,427.0,479,427 +Ramp down,0.9571428571428572,0.4258474576271186,0.5894428152492669,472.0,210,472 +Grass walking,0.9701149425287356,0.9745958429561201,0.9723502304147466,433.0,435,433 +Uneven ground walking,0.9367088607594937,0.9773584905660377,0.9566020313942751,530.0,553,530 +Carry,0.9401197604790419,0.9602446483180428,0.9500756429652042,1308.0,1336,1308 +accuracy,0.863,0.863,0.863,0.863,0,0 +macro avg,0.8747425882397468,0.8238830476663032,0.8244407371749783,8000.0,0,0 +weighted avg,0.875450146255685,0.863,0.8536911266268619,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..489955ee32dc25fd31bcd5184cf3813c7dc93486 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8860936408106219,0.9340699815837937,0.9094495248341402,2715.0,2862,2715 +Sit to stand,0.9518072289156626,0.7783251231527094,0.8563685636856369,203.0,166,203 +Stand to sit,0.9824561403508771,0.5472312703583062,0.702928870292887,307.0,171,307 +Sitting,0.8133333333333334,0.9861431870669746,0.8914405010438413,433.0,525,433 +Stair up,0.8118466898954704,0.9708333333333333,0.8842504743833017,240.0,287,240 +Stair down,0.8496503496503497,0.9878048780487805,0.9135338345864662,246.0,286,246 +Ramp up,0.7732181425485961,0.8731707317073171,0.8201603665521191,410.0,463,410 +Ramp down,0.9705882352941176,0.43805309734513276,0.6036585365853658,452.0,204,452 +Grass walking,0.9878934624697336,0.9878934624697336,0.9878934624697336,413.0,413,413 +Uneven ground walking,0.9511278195488722,0.9921568627450981,0.9712092130518234,510.0,532,510 +Carry,0.9547934528448948,0.9699129057798892,0.9622937941869599,1263.0,1283,1263 +accuracy,0.8982202447163515,0.8982202447163515,0.8982202447163515,0.8982202447163515,0,0 +macro avg,0.9029825905147754,0.8605086212355516,0.8639261037883887,7192.0,0,0 +weighted avg,0.9053546026128423,0.8982202447163515,0.8912060324224905,7192.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..39a07fca6cd116728628a71476a88a59fb0a5237 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5192878338278932,0.6679389312977099,0.5843071786310517,262.0,337,262 +Sit to stand,0.859375,0.3741496598639456,0.5213270142180095,147.0,64,147 +Stand to sit,0.8947368421052632,0.22666666666666666,0.3617021276595745,150.0,38,150 +Sitting,0.42105263157894735,0.9302325581395349,0.5797101449275363,86.0,190,86 +Stair up,0.5263157894736842,0.9523809523809523,0.6779661016949152,21.0,38,21 +Stair down,0.5652173913043478,0.65,0.6046511627906976,20.0,23,20 +Ramp up,0.4375,0.4117647058823529,0.42424242424242425,17.0,16,17 +Ramp down,0.5,0.15,0.23076923076923078,20.0,6,20 +Grass walking,0.6363636363636364,0.7,0.6666666666666666,20.0,22,20 +Uneven ground walking,0.5714285714285714,0.6,0.5853658536585366,20.0,21,20 +Carry,0.5849056603773585,0.6888888888888889,0.6326530612244898,45.0,53,45 +accuracy,0.5495049504950495,0.5495049504950495,0.5495049504950495,0.5495049504950495,0,0 +macro avg,0.5923803051327001,0.5774565784654592,0.5335782696802848,808.0,0,0 +weighted avg,0.6473684014509241,0.5495049504950495,0.5266111372334237,808.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..10700afaa3ef95a48f5ff6b0af30782fcbd52346 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2684,3,24,9,68,37,18,12,13,28,73 +Sit to stand,75,234,1,44,0,0,0,0,0,0,0 +Stand to sit,97,24,231,108,0,0,0,0,0,0,0 +Sitting,2,12,0,498,0,0,0,0,0,0,0 +Stair up,2,0,0,0,243,0,0,0,0,13,0 +Stair down,11,0,0,0,0,253,0,0,0,0,0 +Ramp up,54,0,0,1,2,0,374,0,0,0,0 +Ramp down,153,0,0,0,1,16,95,212,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,422,0,0 +Uneven ground walking,13,0,0,0,0,0,0,0,0,519,0 +Carry,54,0,0,0,0,0,0,0,0,0,1255 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..73edc45fe76aa7c7f61d28ba306df61a2344168f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2529,1,5,5,51,27,9,7,7,20,55 +Sit to stand,24,174,0,11,0,0,0,0,0,0,0 +Stand to sit,60,13,191,50,0,0,0,0,0,0,0 +Sitting,2,7,0,418,0,0,0,0,0,0,0 +Stair up,0,0,0,0,227,0,0,0,0,11,0 +Stair down,6,0,0,0,0,238,0,0,0,0,0 +Ramp up,47,0,0,1,2,0,361,0,0,0,0 +Ramp down,138,0,0,0,1,16,94,207,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,409,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,507,0 +Carry,38,0,0,0,0,0,0,0,0,0,1224 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..01c93ed306712c5717f3c0f67ba1b10c61114379 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,155,2,19,4,17,10,9,5,6,8,18 +Sit to stand,51,60,1,33,0,0,0,0,0,0,0 +Stand to sit,37,11,40,58,0,0,0,0,0,0,0 +Sitting,0,5,0,80,0,0,0,0,0,0,0 +Stair up,2,0,0,0,16,0,0,0,0,2,0 +Stair down,5,0,0,0,0,15,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,13,0,0,0,0 +Ramp down,15,0,0,0,0,0,1,5,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,12,0 +Carry,16,0,0,0,0,0,0,0,0,0,31 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d12ac5371f81f4410c1ba09b70d07e6507edc3c4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8501742160278746,0.904008083529808,0.8762650995755795,2969.0,3157,2969 +Sit to stand,0.8571428571428571,0.6610169491525424,0.7464114832535885,354.0,273,354 +Stand to sit,0.90234375,0.5021739130434782,0.6452513966480447,460.0,256,460 +Sitting,0.7545454545454545,0.97265625,0.8498293515358362,512.0,660,512 +Stair up,0.7738853503184714,0.9418604651162791,0.8496503496503497,258.0,314,258 +Stair down,0.826797385620915,0.9583333333333334,0.887719298245614,264.0,306,264 +Ramp up,0.7679671457905544,0.8677494199535963,0.8148148148148148,431.0,487,431 +Ramp down,0.9464285714285714,0.4444444444444444,0.6048502139800286,477.0,224,477 +Grass walking,0.9701149425287356,0.9723502304147466,0.9712313003452244,434.0,435,434 +Uneven ground walking,0.9267857142857143,0.9755639097744361,0.9505494505494505,532.0,560,532 +Carry,0.9450301204819277,0.9587471352177235,0.9518392112248768,1309.0,1328,1309 +accuracy,0.865625,0.865625,0.865625,0.865625,0,0 +macro avg,0.8655650461973706,0.8326276485436716,0.8316738154384917,8000.0,0,0 +weighted avg,0.8725628409880204,0.865625,0.8580274572364881,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..33ce77567033b3893bf49a2995871f8c082791b1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.886124737210932,0.9311487481590575,0.9080789946140035,2716.0,2854,2716 +Sit to stand,0.8923076923076924,0.8325358851674641,0.8613861386138614,209.0,195,209 +Stand to sit,0.9744897959183674,0.60828025477707,0.7490196078431373,314.0,196,314 +Sitting,0.8618556701030928,0.9789227166276346,0.9166666666666666,427.0,485,427 +Stair up,0.8078291814946619,0.9537815126050421,0.8747591522157996,238.0,281,238 +Stair down,0.8469750889679716,0.9754098360655737,0.9066666666666666,244.0,281,244 +Ramp up,0.7780172413793104,0.878345498783455,0.8251428571428572,411.0,464,411 +Ramp down,0.9672897196261683,0.45394736842105265,0.6179104477611941,456.0,214,456 +Grass walking,0.9831730769230769,0.9879227053140096,0.9855421686746988,414.0,416,414 +Uneven ground walking,0.9423791821561338,0.990234375,0.9657142857142857,512.0,538,512 +Carry,0.9569976544175137,0.9698890649762282,0.9634002361275088,1262.0,1279,1262 +accuracy,0.9003193113980286,0.9003193113980286,0.9003193113980286,0.9003193113980286,0,0 +macro avg,0.8997671855004473,0.8691289059905988,0.8703897474582436,7203.0,0,0 +weighted avg,0.9057679524163443,0.9003193113980286,0.8942902359211641,7203.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef4d01a7eb5c6386414b6044b06d53e10d9151a2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5115511551155115,0.6126482213438735,0.5575539568345323,253.0,303,253 +Sit to stand,0.7692307692307693,0.41379310344827586,0.5381165919282511,145.0,78,145 +Stand to sit,0.6666666666666666,0.273972602739726,0.3883495145631068,146.0,60,146 +Sitting,0.45714285714285713,0.9411764705882353,0.6153846153846154,85.0,175,85 +Stair up,0.48484848484848486,0.8,0.6037735849056604,20.0,33,20 +Stair down,0.6,0.75,0.6666666666666666,20.0,25,20 +Ramp up,0.5652173913043478,0.65,0.6046511627906976,20.0,23,20 +Ramp down,0.5,0.23809523809523808,0.3225806451612903,21.0,10,21 +Grass walking,0.6842105263157895,0.65,0.6666666666666666,20.0,19,20 +Uneven ground walking,0.5454545454545454,0.6,0.5714285714285714,20.0,22,20 +Carry,0.6326530612244898,0.6595744680851063,0.6458333333333334,47.0,49,47 +accuracy,0.5520702634880803,0.5520702634880803,0.5520702634880803,0.5520702634880803,0,0 +macro avg,0.5833614052094056,0.599023645845496,0.5619095736057629,797.0,0,0 +weighted avg,0.5959607187066205,0.5520702634880803,0.5363699769220303,797.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d78493126a0a939e9fe72e9f536feeec412a289 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2675,4,41,6,62,35,20,17,15,34,71 +Sit to stand,57,240,4,39,0,0,0,0,0,0,0 +Stand to sit,96,34,246,78,0,0,0,0,0,0,0 +Sitting,3,28,1,492,0,0,0,0,0,0,0 +Stair up,4,0,0,0,240,0,0,0,0,17,0 +Stair down,13,0,0,0,0,254,0,0,0,0,0 +Ramp up,54,0,0,1,1,0,374,0,0,0,0 +Ramp down,135,0,0,0,0,14,99,227,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,421,0,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,519,0 +Carry,57,0,0,0,0,0,0,0,0,0,1250 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a7d91d37da71981b47c3531639b343465f210654 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2522,2,11,4,46,27,11,12,7,24,52 +Sit to stand,18,164,0,13,0,0,0,0,0,0,0 +Stand to sit,56,16,204,34,0,0,0,0,0,0,0 +Sitting,2,8,0,421,0,0,0,0,0,0,0 +Stair up,1,0,0,0,225,0,0,0,0,15,0 +Stair down,6,0,0,0,0,241,0,0,0,0,0 +Ramp up,44,0,0,1,1,0,363,0,0,0,0 +Ramp down,122,0,0,0,0,14,98,221,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,409,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,507,0 +Carry,42,0,0,0,0,0,0,0,0,0,1221 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d4e47b00fdf39b642d81edc1d74e8dc373118791 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,153,2,30,2,16,8,9,5,8,10,19 +Sit to stand,39,76,4,26,0,0,0,0,0,0,0 +Stand to sit,40,18,42,44,0,0,0,0,0,0,0 +Sitting,1,20,1,71,0,0,0,0,0,0,0 +Stair up,3,0,0,0,15,0,0,0,0,2,0 +Stair down,7,0,0,0,0,13,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,11,0,0,0,0 +Ramp down,13,0,0,0,0,0,1,6,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,12,0 +Carry,15,0,0,0,0,0,0,0,0,0,29 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d2fc76da189aea5d11e9a81664b5965101925c82 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8584724005134788,0.8976510067114094,0.8776246719160105,2980.0,3116,2980 +Sit to stand,0.7843137254901961,0.7058823529411765,0.7430340557275542,340.0,306,340 +Stand to sit,0.8424657534246576,0.5418502202643172,0.6595174262734584,454.0,292,454 +Sitting,0.7987012987012987,0.9389312977099237,0.8631578947368421,524.0,616,524 +Stair up,0.7920792079207921,0.9195402298850575,0.851063829787234,261.0,303,261 +Stair down,0.8382838283828383,0.951310861423221,0.8912280701754386,267.0,303,267 +Ramp up,0.7586206896551724,0.8697674418604651,0.8104008667388949,430.0,493,430 +Ramp down,0.930327868852459,0.47789473684210526,0.631432545201669,475.0,244,475 +Grass walking,0.9655963302752294,0.9745370370370371,0.9700460829493087,432.0,436,432 +Uneven ground walking,0.9105263157894737,0.9792452830188679,0.9436363636363636,530.0,570,530 +Carry,0.9462528387585163,0.9563886763580719,0.9512937595129376,1307.0,1321,1307 +accuracy,0.86725,0.86725,0.86725,0.86725,0,0 +macro avg,0.8568763870694647,0.8375453767319684,0.8356759606050648,8000.0,0,0 +weighted avg,0.8701311830972495,0.86725,0.8613356574814934,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..50cea98a12b462fc4a8f24dac844aa2b60cdce39 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8946434905995033,0.927888153053716,0.9109626151345493,2718.0,2819,2718 +Sit to stand,0.8631578947368421,0.841025641025641,0.8519480519480519,195.0,190,195 +Stand to sit,0.9488372093023256,0.6580645161290323,0.7771428571428571,310.0,215,310 +Sitting,0.8900634249471459,0.9767981438515081,0.9314159292035398,431.0,473,431 +Stair up,0.8272058823529411,0.9336099585062241,0.8771929824561403,241.0,272,241 +Stair down,0.8546099290780141,0.9757085020242915,0.9111531190926276,247.0,282,247 +Ramp up,0.7690677966101694,0.8875305623471883,0.8240635641316686,409.0,472,409 +Ramp down,0.9484978540772532,0.4857142857142857,0.6424418604651163,455.0,233,455 +Grass walking,0.9831730769230769,0.9927184466019418,0.9879227053140096,412.0,416,412 +Uneven ground walking,0.9285714285714286,0.9941176470588236,0.9602272727272727,510.0,546,510 +Carry,0.9591516103692066,0.9667458432304038,0.9629337539432177,1263.0,1273,1263 +accuracy,0.9036295369211514,0.9036295369211514,0.9036295369211514,0.9036295369211514,0,0 +macro avg,0.8969981452334461,0.8763565181402779,0.8761277010508227,7191.0,0,0 +weighted avg,0.9072898638113137,0.9036295369211514,0.8987925987493312,7191.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..08197517aec41ade236ab6e45256613e976e0f1b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5151515151515151,0.583969465648855,0.5474060822898033,262.0,297,262 +Sit to stand,0.6551724137931034,0.5241379310344828,0.5823754789272031,145.0,116,145 +Stand to sit,0.5454545454545454,0.2916666666666667,0.38009049773755654,144.0,77,144 +Sitting,0.4965034965034965,0.7634408602150538,0.6016949152542372,93.0,143,93 +Stair up,0.4838709677419355,0.75,0.5882352941176471,20.0,31,20 +Stair down,0.6190476190476191,0.65,0.6341463414634146,20.0,21,20 +Ramp up,0.5238095238095238,0.5238095238095238,0.5238095238095238,21.0,21,21 +Ramp down,0.5454545454545454,0.3,0.3870967741935484,20.0,11,20 +Grass walking,0.6,0.6,0.6,20.0,20,20 +Uneven ground walking,0.5,0.6,0.5454545454545454,20.0,24,20 +Carry,0.6041666666666666,0.6590909090909091,0.6304347826086957,44.0,48,44 +accuracy,0.5438813349814586,0.5438813349814586,0.5438813349814586,0.5438813349814586,0,0 +macro avg,0.5535119357839046,0.56782866876959,0.547340385077834,809.0,0,0 +weighted avg,0.5528316102202621,0.5438813349814586,0.5344787222949207,809.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3c42e7e2b4bad693f98406413ae943684feb258 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2658,8,39,6,55,40,24,24,11,40,73 +Sit to stand,64,240,3,47,0,0,0,0,0,0,0 +Stand to sit,113,42,247,54,0,0,0,0,0,0,0 +Sitting,2,36,0,475,0,0,0,0,0,0,0 +Stair up,5,0,0,0,239,0,0,0,0,18,0 +Stair down,14,0,0,0,0,249,0,0,0,0,0 +Ramp up,51,0,0,0,0,0,379,0,0,0,0 +Ramp down,105,0,0,0,0,12,111,247,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,424,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,518,0 +Carry,62,0,0,0,0,0,0,0,0,0,1242 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f13b249d24d5777d85f8c30009845bd4ca2b845a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2504,3,12,4,43,32,13,20,5,30,53 +Sit to stand,19,174,0,17,0,0,0,0,0,0,0 +Stand to sit,68,19,196,26,0,0,0,0,0,0,0 +Sitting,2,12,0,419,0,0,0,0,0,0,0 +Stair up,2,0,0,0,225,0,0,0,0,15,0 +Stair down,8,0,0,0,0,235,0,0,0,0,0 +Ramp up,43,0,0,0,0,0,367,0,0,0,0 +Ramp down,92,0,0,0,0,12,110,240,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,410,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,506,0 +Carry,44,0,0,0,0,0,0,0,0,0,1216 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..43cc9ac826f598382d8eac1f7bdbe6ad1493e812 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,154,5,27,2,12,8,11,4,6,10,20 +Sit to stand,45,66,3,30,0,0,0,0,0,0,0 +Stand to sit,45,23,51,28,0,0,0,0,0,0,0 +Sitting,0,24,0,56,0,0,0,0,0,0,0 +Stair up,3,0,0,0,14,0,0,0,0,3,0 +Stair down,6,0,0,0,0,14,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,12,0,0,0,0 +Ramp down,13,0,0,0,0,0,1,7,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,14,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,12,0 +Carry,18,0,0,0,0,0,0,0,0,0,26 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d5a8105221706777eb8d24da6d41eee6e8ffff9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8582499192767195,0.8925453324378778,0.8750617283950617,2978.0,3097,2978 +Sit to stand,0.7361963190184049,0.6779661016949152,0.7058823529411765,354.0,326,354 +Stand to sit,0.8546712802768166,0.5416666666666666,0.6630872483221476,456.0,289,456 +Sitting,0.8161512027491409,0.9259259259259259,0.867579908675799,513.0,582,513 +Stair up,0.8129251700680272,0.9122137404580153,0.8597122302158273,262.0,294,262 +Stair down,0.8272425249169435,0.9467680608365019,0.8829787234042553,263.0,301,263 +Ramp up,0.7373540856031129,0.8813953488372093,0.8029661016949152,430.0,514,430 +Ramp down,0.9114391143911439,0.52,0.6621983914209115,475.0,271,475 +Grass walking,0.9747126436781609,0.9747126436781609,0.9747126436781609,435.0,435,435 +Uneven ground walking,0.8993055555555556,0.9773584905660377,0.9367088607594937,530.0,576,530 +Carry,0.9444866920152091,0.9524539877300614,0.9484536082474226,1304.0,1315,1304 +accuracy,0.86475,0.86475,0.86475,0.86475,0,0 +macro avg,0.8520667734135668,0.8366369362573974,0.8344856179777428,8000.0,0,0 +weighted avg,0.8672108791179389,0.86475,0.8597224160087548,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9cacdc2e8421d4bc408d53a2422cae273b75c140 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8971694733070584,0.920926811327694,0.9088929219600725,2719.0,2791,2719 +Sit to stand,0.8365384615384616,0.8285714285714286,0.8325358851674641,210.0,208,210 +Stand to sit,0.9423076923076923,0.6343042071197411,0.758220502901354,309.0,208,309 +Sitting,0.8991416309012875,0.9676674364896074,0.932146829810901,433.0,466,433 +Stair up,0.8395522388059702,0.9297520661157025,0.8823529411764706,242.0,268,242 +Stair down,0.8422939068100358,0.9670781893004116,0.9003831417624522,243.0,279,243 +Ramp up,0.7489795918367347,0.8951219512195122,0.8155555555555556,410.0,490,410 +Ramp down,0.9230769230769231,0.5286343612334802,0.6722689075630253,454.0,260,454 +Grass walking,0.9879518072289156,0.9879518072289156,0.9879518072289156,415.0,415,415 +Uneven ground walking,0.9183303085299456,0.9921568627450981,0.9538171536286523,510.0,551,510 +Carry,0.9582348305752562,0.9650793650793651,0.9616449189402926,1260.0,1269,1260 +accuracy,0.9010409437890354,0.9010409437890354,0.9010409437890354,0.9010409437890354,0,0 +macro avg,0.8903251695380255,0.8742949533119052,0.8732518696086505,7205.0,0,0 +weighted avg,0.9042762302150265,0.9010409437890354,0.897161946792366,7205.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..299c91c23a4782f68720090bc4c9f18097a183f4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5032679738562091,0.5945945945945946,0.5451327433628319,259.0,306,259 +Sit to stand,0.559322033898305,0.4583333333333333,0.5038167938931297,144.0,118,144 +Stand to sit,0.6296296296296297,0.3469387755102041,0.4473684210526316,147.0,81,147 +Sitting,0.4827586206896552,0.7,0.5714285714285714,80.0,116,80 +Stair up,0.5384615384615384,0.7,0.6086956521739131,20.0,26,20 +Stair down,0.6363636363636364,0.7,0.6666666666666666,20.0,22,20 +Ramp up,0.5,0.6,0.5454545454545454,20.0,24,20 +Ramp down,0.6363636363636364,0.3333333333333333,0.4375,21.0,11,21 +Grass walking,0.7,0.7,0.7,20.0,20,20 +Uneven ground walking,0.48,0.6,0.5333333333333333,20.0,25,20 +Carry,0.5652173913043478,0.5909090909090909,0.5777777777777777,44.0,46,44 +accuracy,0.5358490566037736,0.5358490566037736,0.5358490566037736,0.5358490566037736,0,0 +macro avg,0.566489496415178,0.5749190116073233,0.5579249550130364,795.0,0,0 +weighted avg,0.5501820482998406,0.5358490566037736,0.5294454951388655,795.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..6d3b2478682d46cc7a0d76b511ddc0bd8353623a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2626,17,46,3,52,42,32,29,11,50,70 +Sit to stand,44,251,1,55,0,0,0,0,0,0,0 +Stand to sit,107,50,262,38,0,0,0,0,0,0,0 +Sitting,10,46,3,457,0,0,0,0,0,0,0 +Stair up,7,0,0,0,240,0,0,0,0,14,0 +Stair down,17,0,0,0,0,249,0,0,0,0,0 +Ramp up,41,0,0,0,0,0,384,2,0,0,0 +Ramp down,59,0,0,0,0,11,118,284,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,420,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,516,0 +Carry,72,0,0,0,0,0,0,0,0,0,1237 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..398fc57635b8899c09a84ce82e1479670d2ce93f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2480,4,18,1,41,36,18,25,6,38,50 +Sit to stand,13,161,0,30,0,0,0,0,0,0,0 +Stand to sit,69,19,202,17,0,0,0,0,0,0,0 +Sitting,2,14,0,414,0,0,0,0,0,0,0 +Stair up,2,0,0,0,227,0,0,0,0,11,0 +Stair down,7,0,0,0,0,239,0,0,0,0,0 +Ramp up,35,0,0,0,0,0,373,2,0,0,0 +Ramp down,48,0,0,0,0,11,117,276,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,408,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,504,0 +Carry,54,0,0,0,0,0,0,0,0,0,1210 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..76b8dcdd3423275d751207b6bb6b366b5deae774 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,146,13,28,2,11,6,14,4,5,12,20 +Sit to stand,31,90,1,25,0,0,0,0,0,0,0 +Stand to sit,38,31,60,21,0,0,0,0,0,0,0 +Sitting,8,32,3,43,0,0,0,0,0,0,0 +Stair up,5,0,0,0,13,0,0,0,0,3,0 +Stair down,10,0,0,0,0,10,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,11,0,0,0,0 +Ramp down,11,0,0,0,0,0,1,8,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,12,0 +Carry,18,0,0,0,0,0,0,0,0,0,27 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b53a85eafc51c4ce5b7fd04bdce1627ca6b8e0b5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8724252491694352,0.8817998656816656,0.8770875083500334,2978.0,3010,2978 +Sit to stand,0.6895604395604396,0.7150997150997151,0.7020979020979021,351.0,364,351 +Stand to sit,0.8397435897435898,0.5733041575492341,0.6814044213263979,457.0,312,457 +Sitting,0.8264014466546112,0.8856589147286822,0.8550046772684752,516.0,553,516 +Stair up,0.821917808219178,0.9195402298850575,0.8679927667269439,261.0,292,261 +Stair down,0.8245033112582781,0.9360902255639098,0.8767605633802817,266.0,302,266 +Ramp up,0.7191011235955056,0.8992974238875878,0.7991675338189386,427.0,534,427 +Ramp down,0.9015873015873016,0.6016949152542372,0.7217280813214739,472.0,315,472 +Grass walking,0.974477958236659,0.9699769053117783,0.9722222222222222,433.0,431,433 +Uneven ground walking,0.8896551724137931,0.9735849056603774,0.9297297297297298,530.0,580,530 +Carry,0.946442234123948,0.944996180290298,0.9457186544342507,1309.0,1307,1309 +accuracy,0.86575,0.86575,0.86575,0.86575,0,0 +macro avg,0.8459832395057035,0.845549403537504,0.8389921873342409,8000.0,0,0 +weighted avg,0.8686383712409148,0.86575,0.863040813556523,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..513d341c8e21193d530e5ba3cab46dbfd934e989 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9114296214626976,0.9127714390872286,0.9121000367782273,2717.0,2721,2717 +Sit to stand,0.8131313131313131,0.7892156862745098,0.8009950248756219,204.0,198,204 +Stand to sit,0.9181818181818182,0.6579804560260586,0.7666034155597723,307.0,220,307 +Sitting,0.8961038961038961,0.9627906976744186,0.9282511210762332,430.0,462,430 +Stair up,0.8470149253731343,0.9458333333333333,0.8937007874015748,240.0,268,240 +Stair down,0.8356643356643356,0.9715447154471545,0.8984962406015038,246.0,286,246 +Ramp up,0.734251968503937,0.9097560975609756,0.8126361655773421,410.0,508,410 +Ramp down,0.9108910891089109,0.6106194690265486,0.7311258278145696,452.0,303,452 +Grass walking,0.9855072463768116,0.9878934624697336,0.9866989117291415,413.0,414,413 +Uneven ground walking,0.9113924050632911,0.9882352941176471,0.9482596425211665,510.0,553,510 +Carry,0.9603174603174603,0.9572784810126582,0.9587955625990491,1264.0,1260,1264 +accuracy,0.9028221882385653,0.9028221882385653,0.9028221882385653,0.9028221882385653,0,0 +macro avg,0.8839896435716006,0.8812653756391152,0.8761511578667456,7193.0,0,0 +weighted avg,0.9059820019607149,0.9028221882385653,0.9006365412510875,7193.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fc13113cae1f3838aa2a5ec5d4599e45590c8d32 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5051903114186851,0.5593869731800766,0.5309090909090909,261.0,289,261 +Sit to stand,0.5421686746987951,0.6122448979591837,0.5750798722044729,147.0,166,147 +Stand to sit,0.6521739130434783,0.4,0.49586776859504134,150.0,92,150 +Sitting,0.4725274725274725,0.5,0.4858757062146893,86.0,91,86 +Stair up,0.5416666666666666,0.6190476190476191,0.5777777777777777,21.0,24,21 +Stair down,0.625,0.5,0.5555555555555556,20.0,16,20 +Ramp up,0.4230769230769231,0.6470588235294118,0.5116279069767442,17.0,26,17 +Ramp down,0.6666666666666666,0.4,0.5,20.0,12,20 +Grass walking,0.7058823529411765,0.6,0.6486486486486487,20.0,17,20 +Uneven ground walking,0.4444444444444444,0.6,0.5106382978723404,20.0,27,20 +Carry,0.574468085106383,0.6,0.5869565217391305,45.0,47,45 +accuracy,0.5353159851301115,0.5353159851301115,0.5353159851301115,0.5353159851301115,0,0 +macro avg,0.5593877736900628,0.5488853012469355,0.5435397405903174,807.0,0,0 +weighted avg,0.5492876788823107,0.5353159851301115,0.5338418726601977,807.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..34d7ad1c3d0718430fb1e5db756d46522a20bae6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2598,10,29,10,41,39,33,39,32,83,66 +Sit to stand,111,161,0,79,0,0,0,0,0,0,0 +Stand to sit,143,66,163,84,0,0,0,0,0,0,0 +Sitting,21,59,1,434,0,0,0,0,0,0,0 +Stair up,6,0,0,0,246,0,0,2,0,7,0 +Stair down,25,0,0,0,0,241,0,0,0,0,0 +Ramp up,38,0,0,0,0,0,384,5,0,0,0 +Ramp down,52,0,0,0,0,4,121,295,0,0,0 +Grass walking,14,0,0,0,0,0,0,0,416,3,0 +Uneven ground walking,22,0,0,0,0,0,1,1,0,506,0 +Carry,75,0,0,0,0,0,0,0,0,0,1234 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2fab7206d3881deb21734abeec953bbb4da63a95 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2431,6,16,8,34,32,20,33,24,67,48 +Sit to stand,48,103,0,53,0,0,0,0,0,0,0 +Stand to sit,78,37,131,60,0,0,0,0,0,0,0 +Sitting,7,28,0,393,0,0,0,0,0,0,0 +Stair up,3,0,0,0,231,0,0,2,0,4,0 +Stair down,12,0,0,0,0,234,0,0,0,0,0 +Ramp up,30,0,0,0,0,0,375,5,0,0,0 +Ramp down,39,0,0,0,0,4,120,289,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,406,3,0 +Uneven ground walking,13,0,0,0,0,0,1,0,0,496,0 +Carry,58,0,0,0,0,0,0,0,0,0,1206 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e20afda0d3c3bdcd7d3139e1868662d393f7e042 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,167,4,13,2,7,7,13,6,8,16,18 +Sit to stand,63,58,0,26,0,0,0,0,0,0,0 +Stand to sit,65,29,32,24,0,0,0,0,0,0,0 +Sitting,14,31,1,41,0,0,0,0,0,0,0 +Stair up,3,0,0,0,15,0,0,0,0,3,0 +Stair down,13,0,0,0,0,7,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,9,0,0,0,0 +Ramp down,13,0,0,0,0,0,1,6,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,9,0,0,0,0,0,0,1,0,10,0 +Carry,17,0,0,0,0,0,0,0,0,0,28 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..fa3efefccfbb33e5c0766fe699184ddb38f38f82 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8367149758454107,0.8718120805369127,0.8539030402629416,2980.0,3105,2980 +Sit to stand,0.543918918918919,0.4586894586894587,0.49768160741885625,351.0,296,351 +Stand to sit,0.844559585492228,0.3574561403508772,0.50231124807396,456.0,193,456 +Sitting,0.71499176276771,0.8427184466019417,0.7736185383244206,515.0,607,515 +Stair up,0.8571428571428571,0.9425287356321839,0.8978102189781022,261.0,287,261 +Stair down,0.8485915492957746,0.9060150375939849,0.8763636363636363,266.0,284,266 +Ramp up,0.712430426716141,0.8992974238875878,0.7950310559006211,427.0,539,427 +Ramp down,0.8625730994152047,0.625,0.7248157248157249,472.0,342,472 +Grass walking,0.9285714285714286,0.9607390300230947,0.9443813847900113,433.0,448,433 +Uneven ground walking,0.8447412353923205,0.9547169811320755,0.8963684676705048,530.0,599,530 +Carry,0.9492307692307692,0.9427043544690603,0.9459563050977386,1309.0,1300,1309 +accuracy,0.83475,0.83475,0.83475,0.83475,0,0 +macro avg,0.8130424189807968,0.7965161535379253,0.7916582934269563,8000.0,0,0 +weighted avg,0.8363469238226071,0.83475,0.827258311100921,8000.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d60894a62e283a4ccb1fe9c4bb4b82a184611010 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8927653323540213,0.8940787054063994,0.8934215361999265,2719.0,2723,2719 +Sit to stand,0.5919540229885057,0.5049019607843137,0.544973544973545,204.0,174,204 +Stand to sit,0.891156462585034,0.42810457516339867,0.5783664459161147,306.0,147,306 +Sitting,0.7645914396887159,0.9182242990654206,0.8343949044585988,428.0,514,428 +Stair up,0.8716981132075472,0.9625,0.9148514851485149,240.0,265,240 +Stair down,0.8666666666666667,0.9512195121951219,0.9069767441860465,246.0,270,246 +Ramp up,0.7267441860465116,0.9146341463414634,0.8099352051835853,410.0,516,410 +Ramp down,0.878419452887538,0.6393805309734514,0.7400768245838668,452.0,329,452 +Grass walking,0.9441860465116279,0.9830508474576272,0.963226571767497,413.0,430,413 +Uneven ground walking,0.8701754385964913,0.9725490196078431,0.9185185185185185,510.0,570,510 +Carry,0.9617224880382775,0.9541139240506329,0.9579030976965845,1264.0,1254,1264 +accuracy,0.8752780867630701,0.8752780867630701,0.8752780867630701,0.8752780867630701,0,0 +macro avg,0.8418254226882671,0.8293415928223339,0.8238768071484363,7192.0,0,0 +weighted avg,0.8780451008100633,0.8752780867630701,0.8705233926691195,7192.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..349979ce63f6813a5bcbc5c9d5393aec58c012fa --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.43717277486910994,0.6398467432950191,0.5194401244167963,261.0,382,261 +Sit to stand,0.47540983606557374,0.3945578231292517,0.4312267657992565,147.0,122,147 +Stand to sit,0.6956521739130435,0.21333333333333335,0.32653061224489793,150.0,46,150 +Sitting,0.44086021505376344,0.47126436781609193,0.45555555555555555,87.0,93,87 +Stair up,0.6818181818181818,0.7142857142857143,0.6976744186046512,21.0,22,21 +Stair down,0.5,0.35,0.4117647058823529,20.0,14,20 +Ramp up,0.391304347826087,0.5294117647058824,0.45,17.0,23,17 +Ramp down,0.46153846153846156,0.3,0.36363636363636365,20.0,13,20 +Grass walking,0.5555555555555556,0.5,0.5263157894736842,20.0,18,20 +Uneven ground walking,0.3448275862068966,0.5,0.40816326530612246,20.0,29,20 +Carry,0.6086956521739131,0.6222222222222222,0.6153846153846154,45.0,46,45 +accuracy,0.474009900990099,0.474009900990099,0.474009900990099,0.474009900990099,0,0 +macro avg,0.5084395259109624,0.4759019971625013,0.4732447469367542,808.0,0,0 +weighted avg,0.5102600211437878,0.474009900990099,0.4601091648320772,808.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..7ea4d35eb18af17c8e27d8a07164a312f62509da --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1176,0,8,9,11,6,1,1,6,6,16 +Sit to stand,50,112,2,11,0,0,0,0,0,0,0 +Stand to sit,43,1,126,28,0,0,0,0,0,0,0 +Sitting,5,9,1,202,0,0,0,0,0,0,0 +Stair up,17,0,0,0,132,0,0,0,0,8,0 +Stair down,9,0,0,0,0,87,0,0,0,0,0 +Ramp up,13,0,0,0,0,0,148,0,0,0,0 +Ramp down,15,0,0,0,0,0,0,183,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,179,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,160,0 +Carry,20,0,0,0,0,0,0,0,0,0,674 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..eef5fb06508b49a4d0adf5ab82b4c9b9cf771f83 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1083,0,2,8,7,2,1,0,1,1,9 +Sit to stand,24,90,0,4,0,0,0,0,0,0,0 +Stand to sit,25,0,110,7,0,0,0,0,0,0,0 +Sitting,5,6,0,165,0,0,0,0,0,0,0 +Stair up,12,0,0,0,126,0,0,0,0,7,0 +Stair down,4,0,0,0,0,82,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,145,0,0,0,0 +Ramp down,11,0,0,0,0,0,0,175,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,152,0 +Carry,5,0,0,0,0,0,0,0,0,0,665 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ce3b1e38d345406c43ab18c4e01f105b9aa28da --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,93,0,6,1,4,4,0,1,5,5,7 +Sit to stand,26,22,2,7,0,0,0,0,0,0,0 +Stand to sit,18,1,16,21,0,0,0,0,0,0,0 +Sitting,0,3,1,37,0,0,0,0,0,0,0 +Stair up,5,0,0,0,6,0,0,0,0,1,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,3,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,8,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,8,0 +Carry,15,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3d35708f31d0e1c014deb457e823b6160c5eed3b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.864070536370316,0.9483870967741935,0.9042675893886967,1240.0,1361,1240 +Sit to stand,0.9180327868852459,0.64,0.7542087542087542,175.0,122,175 +Stand to sit,0.9197080291970803,0.6363636363636364,0.7522388059701492,198.0,137,198 +Sitting,0.808,0.9308755760368663,0.8650963597430407,217.0,250,217 +Stair up,0.9230769230769231,0.8407643312101911,0.88,157.0,143,157 +Stair down,0.9354838709677419,0.90625,0.9206349206349206,96.0,93,96 +Ramp up,0.9932885906040269,0.9192546583850931,0.9548387096774194,161.0,149,161 +Ramp down,0.9945652173913043,0.9242424242424242,0.9581151832460733,198.0,184,198 +Grass walking,0.9675675675675676,0.9572192513368984,0.9623655913978495,187.0,185,187 +Uneven ground walking,0.9195402298850575,0.9696969696969697,0.943952802359882,165.0,174,165 +Carry,0.9768115942028985,0.9711815561959655,0.9739884393063584,694.0,690,694 +accuracy,0.9114105504587156,0.9114105504587156,0.9114105504587156,0.9114105504587156,0,0 +macro avg,0.9291041223771056,0.8767486818402035,0.8972461050848313,3488.0,0,0 +weighted avg,0.91504610570379,0.9114105504587156,0.9092852300045802,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..533374e1f6e0aa0abc52bc4417b38c0cabbeb70e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9177966101694915,0.9721723518850988,0.944202266782912,1114.0,1180,1114 +Sit to stand,0.9375,0.7627118644067796,0.8411214953271028,118.0,96,118 +Stand to sit,0.9821428571428571,0.7746478873239436,0.8661417322834646,142.0,112,142 +Sitting,0.8967391304347826,0.9375,0.9166666666666666,176.0,184,176 +Stair up,0.9473684210526315,0.8689655172413793,0.9064748201438849,145.0,133,145 +Stair down,0.9761904761904762,0.9534883720930233,0.9647058823529412,86.0,84,86 +Ramp up,0.9931506849315068,0.9602649006622517,0.9764309764309764,151.0,146,151 +Ramp down,1.0,0.9408602150537635,0.9695290858725761,186.0,175,186 +Grass walking,0.9941860465116279,0.9771428571428571,0.9855907780979827,175.0,172,175 +Uneven ground walking,0.95,0.9934640522875817,0.9712460063897763,153.0,160,153 +Carry,0.9866468842729971,0.9925373134328358,0.9895833333333334,670.0,674,670 +accuracy,0.9512195121951219,0.9512195121951219,0.9512195121951219,0.9512195121951219,0,0 +macro avg,0.9619746464278517,0.9212504846845012,0.9392448221528743,3116.0,0,0 +weighted avg,0.9525074847341892,0.9512195121951219,0.9504801096460387,3116.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5b953c88e3f9f7b7f9849a37437652321b8f29d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5138121546961326,0.7380952380952381,0.6058631921824105,126.0,181,126 +Sit to stand,0.8461538461538461,0.38596491228070173,0.5301204819277109,57.0,26,57 +Stand to sit,0.64,0.2857142857142857,0.3950617283950617,56.0,25,56 +Sitting,0.5606060606060606,0.9024390243902439,0.6915887850467289,41.0,66,41 +Stair up,0.6,0.5,0.5454545454545454,12.0,10,12 +Stair down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Ramp up,1.0,0.3,0.46153846153846156,10.0,3,10 +Ramp down,0.8888888888888888,0.6666666666666666,0.7619047619047619,12.0,9,12 +Grass walking,0.6153846153846154,0.6666666666666666,0.64,12.0,13,12 +Uneven ground walking,0.5714285714285714,0.6666666666666666,0.6153846153846154,12.0,14,12 +Carry,0.5625,0.375,0.45,24.0,16,24 +accuracy,0.5779569892473119,0.5779569892473119,0.5779569892473119,0.5779569892473119,0,0 +macro avg,0.6685754266103335,0.5442921327709519,0.5657483964825437,372.0,0,0 +weighted avg,0.626236370084169,0.5779569892473119,0.5603916565724493,372.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..af854f2825f8b4436810bef19b4d8fdf0826ff91 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1179,0,12,9,4,7,2,2,6,6,15 +Sit to stand,51,105,5,17,0,0,0,0,0,0,0 +Stand to sit,41,1,131,17,0,0,0,0,0,0,0 +Sitting,6,10,1,206,0,0,0,0,0,0,0 +Stair up,15,0,0,0,131,0,0,0,0,9,0 +Stair down,9,0,0,0,0,86,0,0,0,0,0 +Ramp up,16,0,0,0,0,0,146,0,0,0,0 +Ramp down,14,0,0,0,0,0,0,187,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,181,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,160,0 +Carry,19,0,0,0,0,0,0,0,0,0,672 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..40fbacbb4ca4a1958ace6bb98ed724a8f659f287 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1088,0,1,8,2,2,1,0,2,2,9 +Sit to stand,25,87,2,6,0,0,0,0,0,0,0 +Stand to sit,28,0,105,2,0,0,0,0,0,0,0 +Sitting,6,5,0,166,0,0,0,0,0,0,0 +Stair up,10,0,0,0,125,0,0,0,0,8,0 +Stair down,4,0,0,0,0,81,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,143,0,0,0,0 +Ramp down,9,0,0,0,0,0,0,180,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,152,0 +Carry,6,0,0,0,0,0,0,0,0,0,660 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c9cc94870cbea7d091d8fdf5c330e1c4a6b8208 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,91,0,11,1,2,5,1,2,4,4,6 +Sit to stand,26,18,3,11,0,0,0,0,0,0,0 +Stand to sit,13,1,26,15,0,0,0,0,0,0,0 +Sitting,0,5,1,40,0,0,0,0,0,0,0 +Stair up,5,0,0,0,6,0,0,0,0,1,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,3,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,7,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,8,0 +Carry,13,0,0,0,0,0,0,0,0,0,12 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9865f9040bfea9a2cc58c1f04e2586bcbf32eaf1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8669117647058824,0.9492753623188406,0.9062259800153728,1242.0,1360,1242 +Sit to stand,0.9051724137931034,0.5898876404494382,0.7142857142857143,178.0,116,178 +Stand to sit,0.8791946308724832,0.6894736842105263,0.7728613569321534,190.0,149,190 +Sitting,0.8273092369477911,0.9237668161434978,0.8728813559322034,223.0,249,223 +Stair up,0.9703703703703703,0.8451612903225807,0.903448275862069,155.0,135,155 +Stair down,0.9247311827956989,0.9052631578947369,0.9148936170212766,95.0,93,95 +Ramp up,0.9864864864864865,0.9012345679012346,0.9419354838709677,162.0,148,162 +Ramp down,0.9894179894179894,0.9303482587064676,0.958974358974359,201.0,189,201 +Grass walking,0.9679144385026738,0.9783783783783784,0.9731182795698925,185.0,187,185 +Uneven ground walking,0.9142857142857143,0.963855421686747,0.9384164222873901,166.0,175,166 +Carry,0.9781659388646288,0.9725036179450073,0.9753265602322206,691.0,687,691 +accuracy,0.9128440366972477,0.9128440366972477,0.9128440366972477,0.9128440366972477,0,0 +macro avg,0.9281781970038931,0.8771952905415868,0.8974879459076017,3488.0,0,0 +weighted avg,0.9154389337820283,0.9128440366972477,0.9106144370324334,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9616dfebde8a0b2bab702c5ec8785d4b8a9b90d6 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9158249158249159,0.9757847533632287,0.9448545375597047,1115.0,1188,1115 +Sit to stand,0.9456521739130435,0.725,0.8207547169811321,120.0,92,120 +Stand to sit,0.9722222222222222,0.7777777777777778,0.8641975308641975,135.0,108,135 +Sitting,0.9120879120879121,0.9378531073446328,0.924791086350975,177.0,182,177 +Stair up,0.984251968503937,0.8741258741258742,0.9259259259259259,143.0,127,143 +Stair down,0.9759036144578314,0.9529411764705882,0.9642857142857143,85.0,83,85 +Ramp up,0.9930555555555556,0.9407894736842105,0.9662162162162162,152.0,144,152 +Ramp down,1.0,0.9523809523809523,0.975609756097561,189.0,180,189 +Grass walking,0.9885057471264368,0.9942196531791907,0.9913544668587896,173.0,174,173 +Uneven ground walking,0.9382716049382716,0.987012987012987,0.9620253164556962,154.0,162,154 +Carry,0.9865470852017937,0.990990990990991,0.9887640449438202,666.0,669,666 +accuracy,0.9517529752331939,0.9517529752331939,0.9517529752331939,0.9517529752331939,0,0 +macro avg,0.9647566181665382,0.9189887951209484,0.9389799375036122,3109.0,0,0 +weighted avg,0.9532012112515574,0.9517529752331939,0.9508388361820281,3109.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..257eb28dd4ee53b9c03a0963843961a6e58c968e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5290697674418605,0.7165354330708661,0.6086956521739131,127.0,172,127 +Sit to stand,0.75,0.3103448275862069,0.43902439024390244,58.0,24,58 +Stand to sit,0.6341463414634146,0.4727272727272727,0.5416666666666666,55.0,41,55 +Sitting,0.5970149253731343,0.8695652173913043,0.7079646017699115,46.0,67,46 +Stair up,0.75,0.5,0.6,12.0,8,12 +Stair down,0.5,0.5,0.5,10.0,10,10 +Ramp up,0.75,0.3,0.42857142857142855,10.0,4,10 +Ramp down,0.7777777777777778,0.5833333333333334,0.6666666666666666,12.0,9,12 +Grass walking,0.6923076923076923,0.75,0.72,12.0,13,12 +Uneven ground walking,0.6153846153846154,0.6666666666666666,0.64,12.0,13,12 +Carry,0.6666666666666666,0.48,0.5581395348837209,25.0,18,25 +accuracy,0.5936675461741425,0.5936675461741425,0.5936675461741425,0.5936675461741425,0,0 +macro avg,0.6602152533104694,0.5590157046159682,0.5827935400887463,379.0,0,0 +weighted avg,0.6232847058181424,0.5936675461741425,0.5801715131032276,379.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..fb4f268b749566d6b68e589fdc0a40fe115e5f82 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1177,0,16,9,4,7,2,4,5,5,11 +Sit to stand,52,104,6,15,0,0,0,0,0,0,0 +Stand to sit,44,0,128,26,0,0,0,0,0,0,0 +Sitting,7,19,1,190,0,0,0,0,0,0,0 +Stair up,19,0,0,0,126,0,0,0,0,9,0 +Stair down,9,0,0,0,0,86,0,0,0,0,0 +Ramp up,13,0,0,0,0,0,148,0,0,0,0 +Ramp down,12,0,0,0,0,0,0,187,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,159,0 +Carry,21,0,0,0,0,0,0,0,0,0,672 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ea1dd223b21ab4e7528ddab25a3d7330bfadd170 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1089,0,3,8,2,3,1,1,1,2,4 +Sit to stand,27,85,0,7,0,0,0,0,0,0,0 +Stand to sit,29,0,106,7,0,0,0,0,0,0,0 +Sitting,6,7,0,163,0,0,0,0,0,0,0 +Stair up,12,0,0,0,121,0,0,0,0,9,0 +Stair down,4,0,0,0,0,80,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,145,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,180,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,152,0 +Carry,8,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..80534741dba496430528e864d34c0d003957bdac --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,88,0,13,1,2,4,1,3,4,3,7 +Sit to stand,25,19,6,8,0,0,0,0,0,0,0 +Stand to sit,15,0,22,19,0,0,0,0,0,0,0 +Sitting,1,12,1,27,0,0,0,0,0,0,0 +Stair up,7,0,0,0,5,0,0,0,0,0,0 +Stair down,5,0,0,0,0,6,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,3,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,7,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,7,0 +Carry,13,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac843933f03cef13f49b68e4c82c8164d5ee6cde --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8616398243045388,0.9491935483870968,0.9033000767459708,1240.0,1366,1240 +Sit to stand,0.8455284552845529,0.5875706214689266,0.6933333333333334,177.0,123,177 +Stand to sit,0.847682119205298,0.6464646464646465,0.7335243553008596,198.0,151,198 +Sitting,0.7916666666666666,0.8755760368663594,0.8315098468271335,217.0,240,217 +Stair up,0.9692307692307692,0.8181818181818182,0.8873239436619719,154.0,130,154 +Stair down,0.9247311827956989,0.9052631578947369,0.9148936170212766,95.0,93,95 +Ramp up,0.9866666666666667,0.9192546583850931,0.9517684887459807,161.0,150,161 +Ramp down,0.9790575916230366,0.9396984924623115,0.958974358974359,199.0,191,199 +Grass walking,0.973404255319149,0.973404255319149,0.973404255319149,188.0,188,188 +Uneven ground walking,0.9190751445086706,0.9578313253012049,0.9380530973451328,166.0,173,166 +Carry,0.9838945827232797,0.9696969696969697,0.9767441860465116,693.0,683,693 +accuracy,0.9059633027522935,0.9059633027522935,0.9059633027522935,0.9059633027522935,0,0 +macro avg,0.9165979325753025,0.8674668664025741,0.8875299599383344,3488.0,0,0 +weighted avg,0.9076625171162354,0.9059633027522935,0.9035898779904105,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e09594fa33fbff9af4f11d05ca75b6ea0f8ac34 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9135906040268457,0.9775583482944344,0.9444926279271466,1114.0,1192,1114 +Sit to stand,0.9239130434782609,0.7142857142857143,0.8056872037914692,119.0,92,119 +Stand to sit,0.9724770642201835,0.7464788732394366,0.8446215139442231,142.0,109,142 +Sitting,0.8810810810810811,0.9261363636363636,0.9030470914127424,176.0,185,176 +Stair up,0.983739837398374,0.852112676056338,0.9132075471698113,142.0,123,142 +Stair down,0.963855421686747,0.9523809523809523,0.9580838323353293,84.0,83,84 +Ramp up,0.9931506849315068,0.9602649006622517,0.9764309764309764,151.0,146,151 +Ramp down,0.994475138121547,0.9574468085106383,0.975609756097561,188.0,181,188 +Grass walking,0.9943181818181818,0.9943181818181818,0.9943181818181818,176.0,176,176 +Uneven ground walking,0.9325153374233128,0.987012987012987,0.9589905362776026,154.0,163,154 +Carry,0.993993993993994,0.9880597014925373,0.9910179640718563,670.0,666,670 +accuracy,0.9492939666238768,0.9492939666238768,0.9492939666238768,0.9492939666238768,0,0 +macro avg,0.958828217107276,0.9141868643081669,0.9332279301160817,3116.0,0,0 +weighted avg,0.9509027368781405,0.9492939666238768,0.9481999074285438,3116.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4b9a69ffebd80630bfaeb81ae847e2bdda478015 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5057471264367817,0.6984126984126984,0.5866666666666667,126.0,174,126 +Sit to stand,0.6129032258064516,0.3275862068965517,0.42696629213483145,58.0,31,58 +Stand to sit,0.5238095238095238,0.39285714285714285,0.4489795918367347,56.0,42,56 +Sitting,0.4909090909090909,0.6585365853658537,0.5625,41.0,55,41 +Stair up,0.7142857142857143,0.4166666666666667,0.5263157894736842,12.0,7,12 +Stair down,0.6,0.5454545454545454,0.5714285714285714,11.0,10,11 +Ramp up,0.75,0.3,0.42857142857142855,10.0,4,10 +Ramp down,0.7,0.6363636363636364,0.6666666666666666,11.0,10,11 +Grass walking,0.6666666666666666,0.6666666666666666,0.6666666666666666,12.0,12,12 +Uneven ground walking,0.7,0.5833333333333334,0.6363636363636364,12.0,10,12 +Carry,0.5882352941176471,0.43478260869565216,0.5,23.0,17,23 +accuracy,0.543010752688172,0.543010752688172,0.543010752688172,0.543010752688172,0,0 +macro avg,0.6229596947301705,0.514605462792068,0.5473750281644443,372.0,0,0 +weighted avg,0.5619192780229817,0.543010752688172,0.5329202072620621,372.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..8ea19eeb0e41dbc1abee72c6731e7b4ae87d2412 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1175,0,18,8,3,8,2,4,5,4,12 +Sit to stand,43,111,5,18,0,0,0,0,0,0,0 +Stand to sit,52,0,121,23,0,0,0,0,0,0,0 +Sitting,9,15,1,192,0,0,0,0,0,0,0 +Stair up,24,0,0,0,125,0,0,0,0,8,0 +Stair down,9,0,0,0,0,86,0,0,0,0,0 +Ramp up,14,0,0,0,0,0,149,0,0,0,0 +Ramp down,10,0,0,0,0,0,0,190,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,181,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,160,0 +Carry,22,0,0,0,0,0,0,0,0,0,670 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7d95fa875691c1b5ee8afca11d7126a178a5f2f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1088,0,4,8,1,4,1,0,2,1,5 +Sit to stand,21,90,1,10,0,0,0,0,0,0,0 +Stand to sit,36,0,97,6,0,0,0,0,0,0,0 +Sitting,7,8,0,160,0,0,0,0,0,0,0 +Stair up,17,0,0,0,120,0,0,0,0,8,0 +Stair down,4,0,0,0,0,81,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,145,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,182,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,154,0 +Carry,8,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6affc20b8ad28f4fdcca2a9611c0902081604b32 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,87,0,14,0,2,4,1,4,3,3,7 +Sit to stand,22,21,4,8,0,0,0,0,0,0,0 +Stand to sit,16,0,24,17,0,0,0,0,0,0,0 +Sitting,2,7,1,32,0,0,0,0,0,0,0 +Stair up,7,0,0,0,5,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,4,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,8,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,6,0 +Carry,14,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..83888f2bd5b9f8f49d39f9a2ea950c6f57354a64 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8582907231555881,0.9483454398708636,0.9010736196319018,1239.0,1369,1239 +Sit to stand,0.8809523809523809,0.6271186440677966,0.7326732673267327,177.0,126,177 +Stand to sit,0.8344827586206897,0.6173469387755102,0.7096774193548387,196.0,145,196 +Sitting,0.7966804979253111,0.8847926267281107,0.8384279475982532,217.0,241,217 +Stair up,0.9765625,0.7961783439490446,0.8771929824561403,157.0,128,157 +Stair down,0.9148936170212766,0.9052631578947369,0.91005291005291,95.0,94,95 +Ramp up,0.9867549668874173,0.9141104294478528,0.9490445859872612,163.0,151,163 +Ramp down,0.979381443298969,0.95,0.9644670050761421,200.0,194,200 +Grass walking,0.9731182795698925,0.9731182795698925,0.9731182795698925,186.0,186,186 +Uneven ground walking,0.9302325581395349,0.963855421686747,0.9467455621301775,166.0,172,166 +Carry,0.9824046920821115,0.9682080924855492,0.975254730713246,692.0,682,692 +accuracy,0.9059633027522935,0.9059633027522935,0.9059633027522935,0.9059633027522935,0,0 +macro avg,0.9194322197866519,0.8680306704069185,0.8888843918088633,3488.0,0,0 +weighted avg,0.908252371590952,0.9059633027522935,0.9036545447425732,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8059bbdc25fc16e68055638bd32f536f5351f6d8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9081803005008348,0.9766606822262118,0.9411764705882353,1114.0,1198,1114 +Sit to stand,0.9183673469387755,0.7377049180327869,0.8181818181818182,122.0,98,122 +Stand to sit,0.9509803921568627,0.697841726618705,0.8049792531120332,139.0,102,139 +Sitting,0.8695652173913043,0.9142857142857143,0.8913649025069638,175.0,184,175 +Stair up,0.9917355371900827,0.8275862068965517,0.9022556390977443,145.0,121,145 +Stair down,0.9529411764705882,0.9529411764705882,0.9529411764705882,85.0,85,85 +Ramp up,0.9931506849315068,0.9477124183006536,0.9698996655518395,153.0,146,153 +Ramp down,1.0,0.9680851063829787,0.9837837837837838,188.0,182,188 +Grass walking,0.9885057471264368,0.9885057471264368,0.9885057471264368,174.0,174,174 +Uneven ground walking,0.9447852760736196,0.9935483870967742,0.9685534591194969,155.0,163,155 +Carry,0.992503748125937,0.9880597014925373,0.9902767389678384,670.0,667,670 +accuracy,0.9458333333333333,0.9458333333333333,0.9458333333333333,0.9458333333333333,0,0 +macro avg,0.9555195842641773,0.9084483440845399,0.9283562413187979,3120.0,0,0 +weighted avg,0.9475278190258378,0.9458333333333333,0.9445365427233002,3120.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8af3422f8ad5d4898ea21d26578619255aabc07f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5087719298245614,0.696,0.5878378378378378,125.0,171,125 +Sit to stand,0.75,0.38181818181818183,0.5060240963855421,55.0,28,55 +Stand to sit,0.5581395348837209,0.42105263157894735,0.48,57.0,43,57 +Sitting,0.5614035087719298,0.7619047619047619,0.6464646464646465,42.0,57,42 +Stair up,0.7142857142857143,0.4166666666666667,0.5263157894736842,12.0,7,12 +Stair down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Ramp up,0.8,0.4,0.5333333333333333,10.0,5,10 +Ramp down,0.6666666666666666,0.6666666666666666,0.6666666666666666,12.0,12,12 +Grass walking,0.75,0.75,0.75,12.0,12,12 +Uneven ground walking,0.6666666666666666,0.5454545454545454,0.6,11.0,9,11 +Carry,0.5333333333333333,0.36363636363636365,0.43243243243243246,22.0,15,22 +accuracy,0.5679347826086957,0.5679347826086957,0.5679347826086957,0.5679347826086957,0,0 +macro avg,0.6422566281807408,0.5366545288841938,0.5686718720061661,368.0,0,0 +weighted avg,0.5935680513003101,0.5679347826086957,0.5593705554285804,368.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..bbecdc57f55c6e8067951777f4b1965dd23a32f7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1171,0,23,8,1,8,3,4,5,5,14 +Sit to stand,52,97,3,23,0,0,0,0,0,0,0 +Stand to sit,54,2,118,24,0,0,0,0,0,0,0 +Sitting,10,18,4,183,0,0,0,0,0,0,0 +Stair up,25,0,0,0,124,0,0,0,0,8,0 +Stair down,6,0,0,0,0,90,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,150,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,192,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,181,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,158,0 +Carry,21,0,0,0,0,0,0,0,0,0,673 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c64c568ba5311db9fe7302dc7eec72602e683ec --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1082,0,8,8,1,4,2,0,2,2,7 +Sit to stand,25,80,0,13,0,0,0,0,0,0,0 +Stand to sit,37,0,95,10,0,0,0,0,0,0,0 +Sitting,6,15,1,152,0,0,0,0,0,0,0 +Stair up,16,0,0,0,121,0,0,0,0,8,0 +Stair down,2,0,0,0,0,84,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,146,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,183,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,151,0 +Carry,8,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b5976f68885672b51b11d29803018247d0723b95 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,89,0,15,0,0,4,1,4,3,3,7 +Sit to stand,27,17,3,10,0,0,0,0,0,0,0 +Stand to sit,17,2,23,14,0,0,0,0,0,0,0 +Sitting,4,3,3,31,0,0,0,0,0,0,0 +Stair up,9,0,0,0,3,0,0,0,0,0,0 +Stair down,4,0,0,0,0,6,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,4,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,9,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,7,0 +Carry,13,0,0,0,0,0,0,0,0,0,11 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba605213ed57759ee0f8c8f382142d23ff4550d3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8553688823959095,0.9428341384863124,0.8969743393335886,1242.0,1369,1242 +Sit to stand,0.8290598290598291,0.5542857142857143,0.6643835616438356,175.0,117,175 +Stand to sit,0.7972972972972973,0.5959595959595959,0.6820809248554913,198.0,148,198 +Sitting,0.7689075630252101,0.8511627906976744,0.8079470198675497,215.0,238,215 +Stair up,0.992,0.7898089171974523,0.8794326241134752,157.0,125,157 +Stair down,0.9183673469387755,0.9375,0.9278350515463918,96.0,98,96 +Ramp up,0.9803921568627451,0.9316770186335404,0.9554140127388535,161.0,153,161 +Ramp down,0.9795918367346939,0.9696969696969697,0.9746192893401016,198.0,196,198 +Grass walking,0.9731182795698925,0.9679144385026738,0.9705093833780161,187.0,186,187 +Uneven ground walking,0.9239766081871345,0.9575757575757575,0.9404761904761905,165.0,171,165 +Carry,0.9796215429403202,0.9697406340057637,0.9746560463432296,694.0,687,694 +accuracy,0.8993692660550459,0.8993692660550459,0.8993692660550459,0.8993692660550459,0,0 +macro avg,0.9088819402738006,0.8607414522764958,0.8794844039669748,3488.0,0,0 +weighted avg,0.9004099221909397,0.8993692660550459,0.8962397848881667,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad159da455818bea27999ca3046c9c12b6c968a1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9100084104289319,0.9695340501792115,0.9388286334056399,1116.0,1189,1116 +Sit to stand,0.8421052631578947,0.6779661016949152,0.7511737089201878,118.0,95,118 +Stand to sit,0.9134615384615384,0.6690140845070423,0.7723577235772358,142.0,104,142 +Sitting,0.8306010928961749,0.8735632183908046,0.8515406162464986,174.0,183,174 +Stair up,0.9918032786885246,0.8344827586206897,0.9063670411985019,145.0,122,145 +Stair down,0.9545454545454546,0.9767441860465116,0.9655172413793104,86.0,88,86 +Ramp up,0.9864864864864865,0.9668874172185431,0.9765886287625418,151.0,148,151 +Ramp down,1.0,0.9838709677419355,0.991869918699187,186.0,183,186 +Grass walking,0.9885057471264368,0.9828571428571429,0.9856733524355301,175.0,174,175 +Uneven ground walking,0.937888198757764,0.9869281045751634,0.9617834394904459,153.0,161,153 +Carry,0.9895366218236173,0.9880597014925373,0.9887976101568334,670.0,669,670 +accuracy,0.9396662387676509,0.9396662387676509,0.9396662387676509,0.9396662387676509,0,0 +macro avg,0.9404492811248022,0.9009007030294996,0.9173179922065375,3116.0,0,0 +weighted avg,0.9401510643311569,0.9396662387676509,0.9379860750272994,3116.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b084482a6d310b308ff1f121656bfc6ff6b45288 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49444444444444446,0.7063492063492064,0.5816993464052288,126.0,180,126 +Sit to stand,0.7727272727272727,0.2982456140350877,0.43037974683544306,57.0,22,57 +Stand to sit,0.5227272727272727,0.4107142857142857,0.46,56.0,44,56 +Sitting,0.5636363636363636,0.7560975609756098,0.6458333333333334,41.0,55,41 +Stair up,1.0,0.25,0.4,12.0,3,12 +Stair down,0.6,0.6,0.6,10.0,10,10 +Ramp up,0.8,0.4,0.5333333333333333,10.0,5,10 +Ramp down,0.6923076923076923,0.75,0.72,12.0,13,12 +Grass walking,0.75,0.75,0.75,12.0,12,12 +Uneven ground walking,0.7,0.5833333333333334,0.6363636363636364,12.0,10,12 +Carry,0.6111111111111112,0.4583333333333333,0.5238095238095238,24.0,18,24 +accuracy,0.5618279569892473,0.5618279569892473,0.5618279569892473,0.5618279569892473,0,0 +macro avg,0.6824503779049235,0.5420975757946233,0.5710380836436818,372.0,0,0 +weighted avg,0.6051119131764292,0.5618279569892473,0.5485109016786862,372.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..724bcd7b6933bdb33620cd410ae64b6159d26e50 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1166,0,17,13,2,8,2,4,8,10,14 +Sit to stand,57,72,5,41,0,0,0,0,0,0,0 +Stand to sit,58,5,99,35,1,0,0,0,0,0,0 +Sitting,25,30,7,151,0,0,0,0,0,0,0 +Stair up,27,0,0,0,124,0,0,0,0,6,0 +Stair down,6,0,0,0,0,90,0,0,0,0,0 +Ramp up,13,0,0,0,0,0,148,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,190,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,178,0,0 +Uneven ground walking,13,0,0,0,0,0,0,0,0,152,0 +Carry,23,0,0,0,0,0,0,0,0,0,671 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..dbd77e7b69d90c0746887798b0ae0454e57a4369 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1079,0,7,12,0,4,1,0,5,4,6 +Sit to stand,28,63,1,26,0,0,0,0,0,0,0 +Stand to sit,31,1,84,26,0,0,0,0,0,0,0 +Sitting,11,27,4,130,0,0,0,0,0,0,0 +Stair up,18,0,0,0,122,0,0,0,0,5,0 +Stair down,3,0,0,0,0,83,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,145,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,181,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,170,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,148,0 +Carry,9,0,0,0,0,0,0,0,0,0,661 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..eb35d0184bd6e457f12af9b39a41d4259871c0a9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,87,0,10,1,2,4,1,4,3,6,8 +Sit to stand,29,9,4,15,0,0,0,0,0,0,0 +Stand to sit,27,4,15,9,1,0,0,0,0,0,0 +Sitting,14,3,3,21,0,0,0,0,0,0,0 +Stair up,9,0,0,0,2,0,0,0,0,1,0 +Stair down,3,0,0,0,0,7,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,3,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,9,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,4,0 +Carry,14,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4d0f639163eaba62fb17e6c6fbb607d342561561 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8298932384341637,0.9372990353697749,0.8803322008305021,1244.0,1405,1244 +Sit to stand,0.6728971962616822,0.4114285714285714,0.5106382978723404,175.0,107,175 +Stand to sit,0.7734375,0.5,0.6073619631901841,198.0,128,198 +Sitting,0.6291666666666667,0.7089201877934272,0.6666666666666666,213.0,240,213 +Stair up,0.9763779527559056,0.7898089171974523,0.8732394366197183,157.0,127,157 +Stair down,0.9183673469387755,0.9375,0.9278350515463918,96.0,98,96 +Ramp up,0.9866666666666667,0.9192546583850931,0.9517684887459807,161.0,150,161 +Ramp down,0.979381443298969,0.9595959595959596,0.9693877551020408,198.0,194,198 +Grass walking,0.956989247311828,0.9518716577540107,0.9544235924932976,187.0,186,187 +Uneven ground walking,0.9047619047619048,0.9212121212121213,0.9129129129129129,165.0,168,165 +Carry,0.9795620437956204,0.9668587896253602,0.9731689630166788,694.0,685,694 +accuracy,0.8718463302752294,0.8718463302752294,0.8718463302752294,0.8718463302752294,0,0 +macro avg,0.873409200626562,0.8185227180328883,0.8388850299087923,3488.0,0,0 +weighted avg,0.8714396639565395,0.8718463302752294,0.8665665109314705,3488.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc61b750aa59e2c04cd3f929d5479d1d0894c14d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8991666666666667,0.9651162790697675,0.9309749784296808,1118.0,1200,1118 +Sit to stand,0.6923076923076923,0.5338983050847458,0.6028708133971292,118.0,91,118 +Stand to sit,0.875,0.5915492957746479,0.7058823529411765,142.0,96,142 +Sitting,0.6701030927835051,0.7558139534883721,0.7103825136612022,172.0,194,172 +Stair up,1.0,0.8413793103448276,0.9138576779026217,145.0,122,145 +Stair down,0.9540229885057471,0.9651162790697675,0.9595375722543352,86.0,87,86 +Ramp up,0.9931506849315068,0.9602649006622517,0.9764309764309764,151.0,146,151 +Ramp down,1.0,0.9731182795698925,0.9863760217983651,186.0,181,186 +Grass walking,0.9714285714285714,0.9714285714285714,0.9714285714285714,175.0,175,175 +Uneven ground walking,0.9426751592356688,0.9673202614379085,0.9548387096774194,153.0,157,153 +Carry,0.9910044977511244,0.9865671641791045,0.9887808526551982,670.0,667,670 +accuracy,0.9197689345314506,0.9197689345314506,0.9197689345314506,0.9197689345314506,0,0 +macro avg,0.9080781230554984,0.8646884181918053,0.8819419127796979,3116.0,0,0 +weighted avg,0.920308862733269,0.9197689345314506,0.9174903639915188,3116.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..45f387ee6b33080283ed6386567ea61282ec6ea7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.424390243902439,0.6904761904761905,0.525679758308157,126.0,205,126 +Sit to stand,0.5625,0.15789473684210525,0.2465753424657534,57.0,16,57 +Stand to sit,0.46875,0.26785714285714285,0.3409090909090909,56.0,32,56 +Sitting,0.45652173913043476,0.5121951219512195,0.4827586206896552,41.0,46,41 +Stair up,0.4,0.16666666666666666,0.23529411764705882,12.0,5,12 +Stair down,0.6363636363636364,0.7,0.6666666666666666,10.0,11,10 +Ramp up,0.75,0.3,0.42857142857142855,10.0,4,10 +Ramp down,0.6923076923076923,0.75,0.72,12.0,13,12 +Grass walking,0.7272727272727273,0.6666666666666666,0.6956521739130435,12.0,11,12 +Uneven ground walking,0.36363636363636365,0.3333333333333333,0.34782608695652173,12.0,11,12 +Carry,0.5555555555555556,0.4166666666666667,0.47619047619047616,24.0,18,24 +accuracy,0.47043010752688175,0.47043010752688175,0.47043010752688175,0.47043010752688175,0,0 +macro avg,0.5488452689244409,0.4510687750418174,0.4696476147561684,372.0,0,0 +weighted avg,0.4943511643323287,0.47043010752688175,0.4450018213164315,372.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e0a2d09e1626566ca16369447a84fba1e8684c75 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1162,0,17,0,31,24,13,4,12,8,30 +Sit to stand,51,157,1,11,0,0,0,0,0,0,0 +Stand to sit,10,1,169,19,0,0,0,0,0,0,0 +Sitting,0,15,5,294,0,0,0,0,0,0,0 +Stair up,1,0,0,0,161,0,0,2,0,3,0 +Stair down,1,0,0,0,0,145,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,214,0,0,0,0 +Ramp down,4,0,0,0,0,0,38,167,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,187,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,216,0 +Carry,10,0,0,0,0,0,0,0,0,0,642 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..89f80df3819d3f9297722f485e4975d2f1f74f52 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1093,0,3,0,20,13,7,0,3,2,16 +Sit to stand,12,113,0,5,0,0,0,0,0,0,0 +Stand to sit,0,0,105,6,0,0,0,0,0,0,0 +Sitting,0,2,0,242,0,0,0,0,0,0,0 +Stair up,1,0,0,0,146,0,0,1,0,3,0 +Stair down,0,0,0,0,0,132,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,205,0,0,0,0 +Ramp down,1,0,0,0,0,0,38,156,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,203,0 +Carry,5,0,0,0,0,0,0,0,0,0,618 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ccbe1b0f7004ff142183c1ac1b82796b16ba5de --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,69,0,14,0,11,11,6,4,9,6,14 +Sit to stand,39,44,1,6,0,0,0,0,0,0,0 +Stand to sit,10,1,64,13,0,0,0,0,0,0,0 +Sitting,0,13,5,52,0,0,0,0,0,0,0 +Stair up,0,0,0,0,15,0,0,1,0,0,0 +Stair down,1,0,0,0,0,13,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,9,0,0,0,0 +Ramp down,3,0,0,0,0,0,0,11,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,13,0 +Carry,5,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..a8537de2bd1f90aa7b83219e78b65cfb1726f47e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9266347687400319,0.8931591083781706,0.9095890410958904,1301.0,1254,1301 +Sit to stand,0.9075144508670521,0.7136363636363636,0.7989821882951654,220.0,173,220 +Stand to sit,0.8802083333333334,0.8492462311557789,0.8644501278772379,199.0,192,199 +Sitting,0.9074074074074074,0.9363057324840764,0.9216300940438872,314.0,324,314 +Stair up,0.8385416666666666,0.9640718562874252,0.8969359331476323,167.0,192,167 +Stair down,0.8579881656804734,0.9931506849315068,0.9206349206349206,146.0,169,146 +Ramp up,0.8075471698113208,0.9511111111111111,0.8734693877551021,225.0,265,225 +Ramp down,0.9653179190751445,0.7990430622009569,0.8743455497382199,209.0,173,209 +Grass walking,0.9396984924623115,0.9894179894179894,0.9639175257731959,189.0,199,189 +Uneven ground walking,0.9515418502202643,0.9908256880733946,0.9707865168539326,218.0,227,218 +Carry,0.9553571428571429,0.9846625766871165,0.9697885196374623,652.0,672,652 +accuracy,0.9151041666666667,0.9151041666666667,0.9151041666666667,0.9151041666666667,0,0 +macro avg,0.9034324879201044,0.9149664003967172,0.905866345895695,3840.0,0,0 +weighted avg,0.917181427594786,0.9151041666666667,0.9141022573191397,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bcfd86f6e85dfce5f9fad7d04e171deba44c5c2b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9776386404293381,0.9446845289541919,0.9608791208791209,1157.0,1118,1157 +Sit to stand,0.9826086956521739,0.8692307692307693,0.9224489795918367,130.0,115,130 +Stand to sit,0.9722222222222222,0.9459459459459459,0.958904109589041,111.0,108,111 +Sitting,0.9565217391304348,0.9918032786885246,0.9738430583501007,244.0,253,244 +Stair up,0.8795180722891566,0.9668874172185431,0.9211356466876972,151.0,166,151 +Stair down,0.9103448275862069,1.0,0.9530685920577617,132.0,145,132 +Ramp up,0.82,0.9715639810426541,0.8893709327548807,211.0,250,211 +Ramp down,0.9936305732484076,0.8,0.8863636363636364,195.0,157,195 +Grass walking,0.9831460674157303,1.0,0.9915014164305949,175.0,178,175 +Uneven ground walking,0.9759615384615384,1.0,0.9878345498783455,203.0,208,203 +Carry,0.9747634069400631,0.9919743178170144,0.9832935560859188,623.0,634,623 +accuracy,0.9567827130852341,0.9567827130852341,0.9567827130852341,0.9567827130852341,0,0 +macro avg,0.9478505257613883,0.9529172944452404,0.9480585089699031,3332.0,0,0 +weighted avg,0.9595960603228109,0.9567827130852341,0.9567050817082027,3332.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e4e8b949a1c5cbe9a12e71e679ca6267024e459d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5073529411764706,0.4791666666666667,0.4928571428571429,144.0,136,144 +Sit to stand,0.7586206896551724,0.4888888888888889,0.5945945945945946,90.0,58,90 +Stand to sit,0.7619047619047619,0.7272727272727273,0.7441860465116279,88.0,84,88 +Sitting,0.7323943661971831,0.7428571428571429,0.7375886524822695,70.0,71,70 +Stair up,0.5769230769230769,0.9375,0.7142857142857143,16.0,26,16 +Stair down,0.5416666666666666,0.9285714285714286,0.6842105263157895,14.0,24,14 +Ramp up,0.6,0.6428571428571429,0.6206896551724138,14.0,15,14 +Ramp down,0.6875,0.7857142857142857,0.7333333333333333,14.0,16,14 +Grass walking,0.5714285714285714,0.8571428571428571,0.6857142857142857,14.0,21,14 +Uneven ground walking,0.6842105263157895,0.8666666666666667,0.7647058823529411,15.0,19,15 +Carry,0.631578947368421,0.8275862068965517,0.7164179104477612,29.0,38,29 +accuracy,0.6417322834645669,0.6417322834645669,0.6417322834645669,0.6417322834645669,0,0 +macro avg,0.6412345952396467,0.7531112739576689,0.6807803403698067,508.0,0,0 +weighted avg,0.6517085830951236,0.6417322834645669,0.636643834893851,508.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..0dd2a568cc8f0391bc1a73870bbec8f9e5ea3867 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1164,0,16,0,31,26,14,9,13,6,28 +Sit to stand,43,146,6,15,0,0,0,0,0,0,0 +Stand to sit,8,0,170,17,0,0,0,0,0,0,0 +Sitting,0,22,10,289,0,0,0,0,0,0,0 +Stair up,1,0,0,0,158,0,0,1,0,4,0 +Stair down,2,0,0,0,0,142,0,0,0,0,0 +Ramp up,10,0,0,0,0,1,215,0,0,0,0 +Ramp down,8,0,0,0,0,0,35,167,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,186,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,219,0 +Carry,16,0,0,0,0,0,0,0,0,0,638 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..68f5b7e4177a71e89a97479e1c2b09a79b09fef1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1090,0,1,0,20,14,7,2,5,2,14 +Sit to stand,16,96,1,9,0,0,0,0,0,0,0 +Stand to sit,2,0,102,4,0,0,0,0,0,0,0 +Sitting,0,3,0,240,0,0,0,0,0,0,0 +Stair up,0,0,0,0,143,0,0,1,0,4,0 +Stair down,0,0,0,0,0,130,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,206,0,0,0,0 +Ramp down,1,0,0,0,0,0,35,158,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,208,0 +Carry,8,0,0,0,0,0,0,0,0,0,615 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1ad4bef639af97efc03c27045992f08d77006242 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,74,0,15,0,11,12,7,7,8,4,14 +Sit to stand,27,50,5,6,0,0,0,0,0,0,0 +Stand to sit,6,0,68,13,0,0,0,0,0,0,0 +Sitting,0,19,10,49,0,0,0,0,0,0,0 +Stair up,1,0,0,0,15,0,0,0,0,0,0 +Stair down,2,0,0,0,0,12,0,0,0,0,0 +Ramp up,4,0,0,0,0,1,9,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,9,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,11,0 +Carry,8,0,0,0,0,0,0,0,0,0,23 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cafbb254fe7bea8403af48b537696588803eb98a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9267515923566879,0.8905891354246366,0.908310573546625,1307.0,1256,1307 +Sit to stand,0.8690476190476191,0.6952380952380952,0.7724867724867724,210.0,168,210 +Stand to sit,0.8415841584158416,0.8717948717948718,0.8564231738035264,195.0,202,195 +Sitting,0.9003115264797508,0.9003115264797508,0.9003115264797508,321.0,321,321 +Stair up,0.8359788359788359,0.9634146341463414,0.8951841359773371,164.0,189,164 +Stair down,0.8402366863905325,0.9861111111111112,0.9073482428115016,144.0,169,144 +Ramp up,0.8143939393939394,0.9513274336283186,0.8775510204081632,226.0,264,226 +Ramp down,0.943502824858757,0.7952380952380952,0.8630490956072352,210.0,177,210 +Grass walking,0.9346733668341709,0.9946524064171123,0.9637305699481865,187.0,199,187 +Uneven ground walking,0.9563318777292577,0.9864864864864865,0.9711751662971175,222.0,229,222 +Carry,0.9579579579579579,0.9755351681957186,0.9666666666666667,654.0,666,654 +accuracy,0.9098958333333333,0.9098958333333333,0.9098958333333333,0.9098958333333333,0,0 +macro avg,0.8927973077675774,0.9100635421964125,0.8983851767302621,3840.0,0,0 +weighted avg,0.9116537964905742,0.9098958333333333,0.9089688411959697,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ce759f162046bf2ec7641c388a99fd5e166e285 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9706144256455922,0.9437229437229437,0.9569798068481123,1155.0,1123,1155 +Sit to stand,0.9696969696969697,0.7868852459016393,0.8687782805429864,122.0,99,122 +Stand to sit,0.9807692307692307,0.9444444444444444,0.9622641509433962,108.0,104,108 +Sitting,0.9486166007905138,0.9876543209876543,0.967741935483871,243.0,253,243 +Stair up,0.8773006134969326,0.9662162162162162,0.9196141479099679,148.0,163,148 +Stair down,0.9027777777777778,1.0,0.948905109489051,130.0,144,130 +Ramp up,0.8306451612903226,0.9716981132075472,0.8956521739130435,212.0,248,212 +Ramp down,0.9813664596273292,0.8144329896907216,0.8901408450704226,194.0,161,194 +Grass walking,0.9719101123595506,1.0,0.9857549857549858,173.0,178,173 +Uneven ground walking,0.9719626168224299,1.0,0.985781990521327,208.0,214,208 +Carry,0.9777424483306836,0.9871589085072231,0.9824281150159745,623.0,629,623 +accuracy,0.9532569360675512,0.9532569360675512,0.9532569360675512,0.9532569360675512,0,0 +macro avg,0.9439456742370301,0.9456557438798536,0.9421855946811942,3316.0,0,0 +weighted avg,0.9556469514945874,0.9532569360675512,0.9529691106504106,3316.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..377f86f3eb2c212090fc89a90eb75958ae260088 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.556390977443609,0.4868421052631579,0.519298245614035,152.0,133,152 +Sit to stand,0.7246376811594203,0.5681818181818182,0.6369426751592356,88.0,69,88 +Stand to sit,0.6938775510204082,0.7816091954022989,0.7351351351351352,87.0,98,87 +Sitting,0.7205882352941176,0.6282051282051282,0.6712328767123288,78.0,68,78 +Stair up,0.5769230769230769,0.9375,0.7142857142857143,16.0,26,16 +Stair down,0.48,0.8571428571428571,0.6153846153846154,14.0,25,14 +Ramp up,0.5625,0.6428571428571429,0.6,14.0,16,14 +Ramp down,0.5625,0.5625,0.5625,16.0,16,16 +Grass walking,0.6190476190476191,0.9285714285714286,0.7428571428571429,14.0,21,14 +Uneven ground walking,0.7333333333333333,0.7857142857142857,0.7586206896551724,14.0,15,14 +Carry,0.6216216216216216,0.7419354838709677,0.6764705882352942,31.0,37,31 +accuracy,0.6354961832061069,0.6354961832061069,0.6354961832061069,0.6354961832061069,0,0 +macro avg,0.6228563723493824,0.7200963132008259,0.6575206984580613,524.0,0,0 +weighted avg,0.6411109668693648,0.6354961832061069,0.6311687859200134,524.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..82179d78b5c521abe7baa9a05eedb1e224a1e5c0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1153,0,21,0,32,27,14,10,14,9,24 +Sit to stand,50,147,4,15,0,0,0,0,0,0,0 +Stand to sit,11,1,177,13,0,0,0,0,0,0,0 +Sitting,0,24,9,282,0,0,0,0,0,0,0 +Stair up,2,0,0,0,156,0,0,2,0,4,0 +Stair down,3,0,0,0,0,142,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,215,0,0,0,0 +Ramp down,5,0,0,0,0,0,35,168,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,186,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,217,0 +Carry,18,0,0,0,0,0,0,0,0,0,636 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..deaafa90b724c13ceb4094d179100b5952c60707 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1095,0,5,0,20,16,8,1,3,3,12 +Sit to stand,13,105,1,8,0,0,0,0,0,0,0 +Stand to sit,3,0,108,3,0,0,0,0,0,0,0 +Sitting,0,9,0,234,0,0,0,0,0,0,0 +Stair up,0,0,0,0,143,0,0,2,0,4,0 +Stair down,0,0,0,0,0,131,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,206,0,0,0,0 +Ramp down,1,0,0,0,0,0,35,157,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,205,0 +Carry,11,0,0,0,0,0,0,0,0,0,611 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8248538bb000e2b2161babac85486694c2a0646d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,58,0,16,0,12,11,6,9,11,6,12 +Sit to stand,37,42,3,7,0,0,0,0,0,0,0 +Stand to sit,8,1,69,10,0,0,0,0,0,0,0 +Sitting,0,15,9,48,0,0,0,0,0,0,0 +Stair up,2,0,0,0,13,0,0,0,0,0,0 +Stair down,3,0,0,0,0,11,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,9,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,11,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,12,0 +Carry,7,0,0,0,0,0,0,0,0,0,25 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..694ef38fb50dbd1cdd10f93edff52cc8beb660f4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9179936305732485,0.88420245398773,0.90078125,1304.0,1256,1304 +Sit to stand,0.8546511627906976,0.6805555555555556,0.7577319587628866,216.0,172,216 +Stand to sit,0.8388625592417062,0.8762376237623762,0.8571428571428571,202.0,211,202 +Sitting,0.9096774193548387,0.8952380952380953,0.9024,315.0,310,315 +Stair up,0.8297872340425532,0.9512195121951219,0.8863636363636364,164.0,188,164 +Stair down,0.8402366863905325,0.9793103448275862,0.9044585987261147,145.0,169,145 +Ramp up,0.8143939393939394,0.9555555555555556,0.8793456032719836,225.0,264,225 +Ramp down,0.9333333333333333,0.8076923076923077,0.865979381443299,208.0,180,208 +Grass walking,0.93,0.9893617021276596,0.9587628865979382,188.0,200,188 +Uneven ground walking,0.9434782608695652,0.9908675799086758,0.9665924276169265,219.0,230,219 +Carry,0.9636363636363636,0.9724770642201835,0.9680365296803652,654.0,660,654 +accuracy,0.9059895833333333,0.9059895833333333,0.9059895833333333,0.9059895833333333,0,0 +macro avg,0.8887318717842525,0.9075197995518952,0.8952359208732734,3840.0,0,0 +weighted avg,0.9074578869919527,0.9059895833333333,0.905000356830845,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b8124b98d7df23c975b9883e184fccccee08ea1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9698848538529672,0.9415305245055889,0.9554973821989529,1163.0,1129,1163 +Sit to stand,0.9210526315789473,0.8267716535433071,0.8713692946058091,127.0,114,127 +Stand to sit,0.9473684210526315,0.9473684210526315,0.9473684210526315,114.0,114,114 +Sitting,0.9551020408163265,0.9629629629629629,0.9590163934426229,243.0,245,243 +Stair up,0.8773006134969326,0.959731543624161,0.9166666666666666,149.0,163,149 +Stair down,0.891156462585034,1.0,0.9424460431654677,131.0,147,131 +Ramp up,0.8273092369477911,0.976303317535545,0.8956521739130435,211.0,249,211 +Ramp down,0.98125,0.8134715025906736,0.8895184135977338,193.0,160,193 +Grass walking,0.9830508474576272,1.0,0.9914529914529915,174.0,177,174 +Uneven ground walking,0.9669811320754716,0.9951456310679612,0.9808612440191388,206.0,212,206 +Carry,0.9807383627608347,0.9823151125401929,0.9815261044176706,622.0,623,622 +accuracy,0.9507950795079508,0.9507950795079508,0.9507950795079508,0.9507950795079508,0,0 +macro avg,0.936472236602233,0.9459636972202748,0.9392159207757025,3333.0,0,0 +weighted avg,0.9531084831887112,0.9507950795079508,0.9507144436710038,3333.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..decb14ba14e24e4e97e2eb674dd4ff70866b1bc3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4566929133858268,0.41134751773049644,0.43283582089552236,141.0,127,141 +Sit to stand,0.7241379310344828,0.47191011235955055,0.5714285714285714,89.0,58,89 +Stand to sit,0.711340206185567,0.7840909090909091,0.745945945945946,88.0,97,88 +Sitting,0.7384615384615385,0.6666666666666666,0.7007299270072993,72.0,65,72 +Stair up,0.52,0.8666666666666667,0.65,15.0,25,15 +Stair down,0.5,0.7857142857142857,0.6111111111111112,14.0,22,14 +Ramp up,0.6,0.6428571428571429,0.6206896551724138,14.0,15,14 +Ramp down,0.55,0.7333333333333333,0.6285714285714286,15.0,20,15 +Grass walking,0.5217391304347826,0.8571428571428571,0.6486486486486487,14.0,23,14 +Uneven ground walking,0.6666666666666666,0.9230769230769231,0.7741935483870968,13.0,18,13 +Carry,0.6756756756756757,0.78125,0.7246376811594203,32.0,37,32 +accuracy,0.611439842209073,0.611439842209073,0.611439842209073,0.611439842209073,0,0 +macro avg,0.6058830965313219,0.7203687649671665,0.6462538489388598,507.0,0,0 +weighted avg,0.6186425674110582,0.611439842209073,0.6050109995166388,507.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..0f5805545f5b1e2c9997fd11e73399816c8db589 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1160,0,22,0,30,24,16,10,16,5,25 +Sit to stand,47,151,3,19,0,0,0,0,0,0,0 +Stand to sit,11,2,171,12,0,0,0,0,0,0,0 +Sitting,0,27,13,274,0,0,0,0,0,0,0 +Stair up,1,0,0,0,153,0,0,3,0,6,0 +Stair down,2,0,0,0,0,143,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,215,0,0,0,0 +Ramp down,8,0,0,0,0,0,35,166,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,186,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,217,0 +Carry,17,0,0,0,0,0,0,0,0,0,635 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a597d22198bc14c7d33178ec43e8fb0dabc83fbd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1091,0,6,0,19,12,9,1,7,2,11 +Sit to stand,11,107,0,10,0,0,0,0,0,0,0 +Stand to sit,5,0,101,1,0,0,0,0,0,0,0 +Sitting,0,9,1,234,0,0,0,0,0,0,0 +Stair up,1,0,0,0,141,0,0,1,0,4,0 +Stair down,0,0,0,0,0,132,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,205,0,0,0,0 +Ramp down,3,0,0,0,0,0,35,157,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,207,0 +Carry,9,0,0,0,0,0,0,0,0,0,613 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d52f1b54eb7f13a5ec67c0313b0cc35c6e20b950 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,69,0,16,0,11,12,7,9,9,3,14 +Sit to stand,36,44,3,9,0,0,0,0,0,0,0 +Stand to sit,6,2,70,11,0,0,0,0,0,0,0 +Sitting,0,18,12,40,0,0,0,0,0,0,0 +Stair up,0,0,0,0,12,0,0,2,0,2,0 +Stair down,2,0,0,0,0,11,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,10,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,9,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,10,0 +Carry,8,0,0,0,0,0,0,0,0,0,22 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f0ad461b05a9c6a47dfc1c8d5ff9150d4191c8e9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9199048374306106,0.8868501529051988,0.903075126508369,1308.0,1261,1308 +Sit to stand,0.8388888888888889,0.6863636363636364,0.755,220.0,180,220 +Stand to sit,0.8181818181818182,0.8724489795918368,0.8444444444444444,196.0,209,196 +Sitting,0.898360655737705,0.8726114649681529,0.8852988691437803,314.0,305,314 +Stair up,0.8360655737704918,0.9386503067484663,0.884393063583815,163.0,183,163 +Stair down,0.8562874251497006,0.9862068965517241,0.9166666666666666,145.0,167,145 +Ramp up,0.8082706766917294,0.9555555555555556,0.8757637474541752,225.0,266,225 +Ramp down,0.9273743016759777,0.7942583732057417,0.8556701030927835,209.0,179,209 +Grass walking,0.9207920792079208,0.9946524064171123,0.9562982005141388,187.0,202,187 +Uneven ground walking,0.9517543859649122,0.9819004524886877,0.9665924276169265,221.0,228,221 +Carry,0.9621212121212122,0.9739263803680982,0.9679878048780488,652.0,660,652 +accuracy,0.90390625,0.90390625,0.90390625,0.90390625,0,0 +macro avg,0.8852728958928153,0.9039476913785646,0.8919264049002863,3840.0,0,0 +weighted avg,0.9052581588725112,0.90390625,0.9029543205806216,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd76dc5c50125faec527b02d157b54ea49005275 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9697777777777777,0.9421416234887737,0.9557599649583881,1158.0,1125,1158 +Sit to stand,0.9224137931034483,0.8359375,0.8770491803278688,128.0,116,128 +Stand to sit,0.9351851851851852,0.9439252336448598,0.9395348837209302,107.0,108,107 +Sitting,0.9551020408163265,0.9590163934426229,0.9570552147239264,244.0,245,244 +Stair up,0.88125,0.9591836734693877,0.9185667752442996,147.0,160,147 +Stair down,0.9166666666666666,1.0,0.9565217391304348,132.0,144,132 +Ramp up,0.8232931726907631,0.9761904761904762,0.8932461873638344,210.0,249,210 +Ramp down,0.9874213836477987,0.8051282051282052,0.8870056497175142,195.0,159,195 +Grass walking,0.9611111111111111,1.0,0.9801699716713881,173.0,180,173 +Uneven ground walking,0.971830985915493,1.0,0.9857142857142858,207.0,213,207 +Carry,0.9823717948717948,0.9855305466237942,0.9839486356340289,622.0,624,622 +accuracy,0.9512488715016552,0.9512488715016552,0.9512488715016552,0.9512488715016552,0,0 +macro avg,0.936947628344215,0.9460957865443745,0.9395065898369908,3323.0,0,0 +weighted avg,0.9535480962236755,0.9512488715016552,0.9511135539056218,3323.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8c67b1e8e8819dda010dd8ca4e497554fec43876 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5073529411764706,0.46,0.4825174825174825,150.0,136,150 +Sit to stand,0.6875,0.4782608695652174,0.5641025641025641,92.0,64,92 +Stand to sit,0.693069306930693,0.7865168539325843,0.7368421052631579,89.0,101,89 +Sitting,0.6666666666666666,0.5714285714285714,0.6153846153846154,70.0,60,70 +Stair up,0.5217391304347826,0.75,0.6153846153846154,16.0,23,16 +Stair down,0.4782608695652174,0.8461538461538461,0.6111111111111112,13.0,23,13 +Ramp up,0.5882352941176471,0.6666666666666666,0.625,15.0,17,15 +Ramp down,0.45,0.6428571428571429,0.5294117647058824,14.0,20,14 +Grass walking,0.5909090909090909,0.9285714285714286,0.7222222222222222,14.0,22,14 +Uneven ground walking,0.6666666666666666,0.7142857142857143,0.6896551724137931,14.0,15,14 +Carry,0.6111111111111112,0.7333333333333333,0.6666666666666666,30.0,36,30 +accuracy,0.5996131528046421,0.5996131528046421,0.5996131528046421,0.5996131528046421,0,0 +macro avg,0.5874100979616678,0.6889158569813186,0.6234816654338283,517.0,0,0 +weighted avg,0.606055932113021,0.5996131528046421,0.594341538185275,517.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..a3667f693d6c8e7d8bdd3260387a8ed18795f30c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1149,0,26,0,26,21,22,10,16,11,22 +Sit to stand,52,143,2,22,0,0,0,0,0,0,0 +Stand to sit,15,1,169,13,0,0,0,0,0,0,0 +Sitting,0,27,10,277,0,0,0,0,0,0,0 +Stair up,5,0,0,0,154,0,0,3,0,5,0 +Stair down,3,0,0,0,0,143,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,217,0,0,0,0 +Ramp down,8,0,0,0,0,0,34,167,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,188,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,213,0 +Carry,20,0,0,0,0,0,0,0,0,0,632 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..03556678bb8f699f94719cab44dfaf67ef732221 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1089,0,9,0,17,11,14,2,6,4,7 +Sit to stand,14,104,0,11,0,0,0,0,0,0,0 +Stand to sit,6,0,102,3,0,0,0,0,0,0,0 +Sitting,0,14,1,228,0,0,0,0,0,0,0 +Stair up,3,0,0,0,144,0,0,1,0,3,0 +Stair down,0,0,0,0,0,132,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,209,0,0,0,0 +Ramp down,3,0,0,0,0,0,34,158,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,203,0 +Carry,12,0,0,0,0,0,0,0,0,0,611 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cc8ca6019cef461669e08a3309e42976652689d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,60,0,17,0,9,10,8,8,10,7,15 +Sit to stand,38,39,2,11,0,0,0,0,0,0,0 +Stand to sit,9,1,67,10,0,0,0,0,0,0,0 +Sitting,0,13,9,49,0,0,0,0,0,0,0 +Stair up,2,0,0,0,10,0,0,2,0,2,0 +Stair down,3,0,0,0,0,11,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,8,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,9,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,10,0 +Carry,8,0,0,0,0,0,0,0,0,0,21 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6da488497bdbd8e7e1b15568eb8100f12c03a86a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9075829383886256,0.8818112049117421,0.8945114830673414,1303.0,1266,1303 +Sit to stand,0.8362573099415205,0.6529680365296804,0.7333333333333333,219.0,171,219 +Stand to sit,0.8164251207729468,0.8535353535353535,0.8345679012345679,198.0,207,198 +Sitting,0.8878205128205128,0.8821656050955414,0.8849840255591054,314.0,312,314 +Stair up,0.8555555555555555,0.9221556886227545,0.8876080691642652,167.0,180,167 +Stair down,0.8719512195121951,0.9794520547945206,0.9225806451612903,146.0,164,146 +Ramp up,0.7948717948717948,0.9644444444444444,0.8714859437751004,225.0,273,225 +Ramp down,0.9277777777777778,0.7990430622009569,0.8586118251928021,209.0,180,209 +Grass walking,0.9215686274509803,0.9947089947089947,0.9567430025445293,189.0,204,189 +Uneven ground walking,0.9301310043668122,0.9770642201834863,0.9530201342281879,218.0,229,218 +Carry,0.9663608562691132,0.9693251533742331,0.9678407350689127,652.0,654,652 +accuracy,0.8989583333333333,0.8989583333333333,0.8989583333333333,0.8989583333333333,0,0 +macro avg,0.8833002470661668,0.897879438036519,0.8877533725754033,3840.0,0,0 +weighted avg,0.9000248457271318,0.8989583333333333,0.8977485410085977,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d324d14b8b3648cd64d801547fe368e0e364a9f3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9645704162976085,0.9396031061259706,0.9519230769230769,1159.0,1129,1159 +Sit to stand,0.8813559322033898,0.8062015503875969,0.8421052631578947,129.0,118,129 +Stand to sit,0.9107142857142857,0.918918918918919,0.9147982062780269,111.0,112,111 +Sitting,0.9421487603305785,0.9382716049382716,0.9402061855670103,243.0,242,243 +Stair up,0.8944099378881988,0.9536423841059603,0.9230769230769231,151.0,161,151 +Stair down,0.9230769230769231,1.0,0.96,132.0,143,132 +Ramp up,0.8132295719844358,0.990521327014218,0.8931623931623932,211.0,257,211 +Ramp down,0.9813664596273292,0.8102564102564103,0.8876404494382022,195.0,161,195 +Grass walking,0.9668508287292817,1.0,0.9831460674157303,175.0,181,175 +Uneven ground walking,0.9666666666666667,1.0,0.9830508474576272,203.0,210,203 +Carry,0.988673139158576,0.9807383627608347,0.984689766317486,623.0,618,623 +accuracy,0.9468787515006002,0.9468787515006002,0.9468787515006002,0.9468787515006002,0,0 +macro avg,0.9302784474252068,0.9398321513189256,0.93307265261767,3332.0,0,0 +weighted avg,0.9492494027784663,0.9468787515006002,0.9467726606604543,3332.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fe0d13f6077bdf5b5f8277a3a3d4762e2b9ef79f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.43795620437956206,0.4166666666666667,0.42704626334519574,144.0,137,144 +Sit to stand,0.7358490566037735,0.43333333333333335,0.5454545454545454,90.0,53,90 +Stand to sit,0.7052631578947368,0.7701149425287356,0.7362637362637363,87.0,95,87 +Sitting,0.7,0.6901408450704225,0.6950354609929078,71.0,70,71 +Stair up,0.5263157894736842,0.625,0.5714285714285714,16.0,19,16 +Stair down,0.5238095238095238,0.7857142857142857,0.6285714285714286,14.0,21,14 +Ramp up,0.5,0.5714285714285714,0.5333333333333333,14.0,16,14 +Ramp down,0.47368421052631576,0.6428571428571429,0.5454545454545454,14.0,19,14 +Grass walking,0.5652173913043478,0.9285714285714286,0.7027027027027027,14.0,23,14 +Uneven ground walking,0.5263157894736842,0.6666666666666666,0.5882352941176471,15.0,19,15 +Carry,0.5833333333333334,0.7241379310344828,0.6461538461538462,29.0,36,29 +accuracy,0.5846456692913385,0.5846456692913385,0.5846456692913385,0.5846456692913385,0,0 +macro avg,0.5707040415271782,0.6595119830792489,0.6017890661653145,508.0,0,0 +weighted avg,0.5953945180337642,0.5846456692913385,0.5795939961260045,508.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..b4c9244ccd914502a0853a200a9ba2c9736d0bfc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1147,0,24,3,22,19,28,11,16,14,21 +Sit to stand,51,136,1,29,0,0,0,0,0,0,0 +Stand to sit,44,1,129,24,0,0,0,0,0,0,0 +Sitting,6,44,14,250,0,0,0,0,0,0,0 +Stair up,7,0,0,0,141,0,0,18,0,1,0 +Stair down,3,0,0,0,0,143,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,217,0,0,0,0 +Ramp down,12,0,0,0,0,0,34,163,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,188,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,212,0 +Carry,24,0,0,0,0,0,0,0,0,0,628 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b45d0d15dd9f0617bf0f123bb459e6116bdc907a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1077,0,11,3,15,10,20,5,7,5,8 +Sit to stand,16,98,0,14,0,0,0,0,0,0,0 +Stand to sit,22,0,86,3,0,0,0,0,0,0,0 +Sitting,2,25,4,212,0,0,0,0,0,0,0 +Stair up,4,0,0,0,133,0,0,14,0,0,0 +Stair down,1,0,0,0,0,131,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,205,0,0,0,0 +Ramp down,5,0,0,0,0,0,34,156,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,203,0 +Carry,15,0,0,0,0,0,0,0,0,0,608 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5eec7673dab59a5bd3628ef21a92fd9a94a92147 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,70,0,13,0,7,9,8,6,9,9,13 +Sit to stand,35,38,1,15,0,0,0,0,0,0,0 +Stand to sit,22,1,43,21,0,0,0,0,0,0,0 +Sitting,4,19,10,38,0,0,0,0,0,0,0 +Stair up,3,0,0,0,8,0,0,4,0,1,0 +Stair down,2,0,0,0,0,12,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,12,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,7,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,9,0 +Carry,9,0,0,0,0,0,0,0,0,0,20 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..894c7706b25831c148c9f434ac5b9560cb842d8a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8762414056531703,0.878927203065134,0.8775822494261668,1305.0,1309,1305 +Sit to stand,0.7513812154696132,0.6267281105990783,0.6834170854271356,217.0,181,217 +Stand to sit,0.7678571428571429,0.6515151515151515,0.7049180327868853,198.0,168,198 +Sitting,0.8169934640522876,0.7961783439490446,0.8064516129032258,314.0,306,314 +Stair up,0.8650306748466258,0.844311377245509,0.8545454545454545,167.0,163,167 +Stair down,0.8827160493827161,0.9794520547945206,0.9285714285714286,146.0,162,146 +Ramp up,0.7777777777777778,0.9644444444444444,0.8611111111111112,225.0,279,225 +Ramp down,0.8489583333333334,0.7799043062200957,0.8129675810473815,209.0,192,209 +Grass walking,0.9215686274509803,0.9947089947089947,0.9567430025445293,189.0,204,189 +Uneven ground walking,0.933920704845815,0.9724770642201835,0.952808988764045,218.0,227,218 +Carry,0.9676425269645609,0.9631901840490797,0.9654112221368178,652.0,649,652 +accuracy,0.8734375,0.8734375,0.8734375,0.8734375,0,0 +macro avg,0.8554625384212748,0.859257930437385,0.8549570699331074,3840.0,0,0 +weighted avg,0.8722811170661127,0.8734375,0.8714248874391557,3840.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..242a102511ce942a3131e5c6fd6c1787edc1b2e9 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9381533101045296,0.9276485788113695,0.9328713728886964,1161.0,1148,1161 +Sit to stand,0.7967479674796748,0.765625,0.7808764940239044,128.0,123,128 +Stand to sit,0.8514851485148515,0.7747747747747747,0.8113207547169812,111.0,101,111 +Sitting,0.9137931034482759,0.8724279835390947,0.8926315789473684,243.0,232,243 +Stair up,0.8986486486486487,0.8807947019867549,0.8896321070234113,151.0,148,151 +Stair down,0.9290780141843972,0.9924242424242424,0.9597069597069597,132.0,141,132 +Ramp up,0.7915057915057915,0.9715639810426541,0.8723404255319149,211.0,259,211 +Ramp down,0.8914285714285715,0.8,0.8432432432432433,195.0,175,195 +Grass walking,0.9615384615384616,1.0,0.9803921568627451,175.0,182,175 +Uneven ground walking,0.9759615384615384,1.0,0.9878345498783455,203.0,208,203 +Carry,0.987012987012987,0.9759229534510433,0.9814366424535916,623.0,616,623 +accuracy,0.9252925292529253,0.9252925292529253,0.9252925292529253,0.9252925292529253,0,0 +macro avg,0.9032139583934297,0.9055620196390849,0.9029351168433783,3333.0,0,0 +weighted avg,0.9265572636460939,0.9252925292529253,0.9250009093918463,3333.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..98e508d6dbb2fe8f2a97a338ab49f9c93dcbce81 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.43478260869565216,0.4861111111111111,0.45901639344262296,144.0,161,144 +Sit to stand,0.6551724137931034,0.42696629213483145,0.5170068027210885,89.0,58,89 +Stand to sit,0.6417910447761194,0.4942528735632184,0.5584415584415584,87.0,67,87 +Sitting,0.5135135135135135,0.5352112676056338,0.5241379310344828,71.0,74,71 +Stair up,0.5333333333333333,0.5,0.5161290322580645,16.0,15,16 +Stair down,0.5714285714285714,0.8571428571428571,0.6857142857142857,14.0,21,14 +Ramp up,0.6,0.8571428571428571,0.7058823529411765,14.0,20,14 +Ramp down,0.4117647058823529,0.5,0.45161290322580644,14.0,17,14 +Grass walking,0.5909090909090909,0.9285714285714286,0.7222222222222222,14.0,22,14 +Uneven ground walking,0.47368421052631576,0.6,0.5294117647058824,15.0,19,15 +Carry,0.6060606060606061,0.6896551724137931,0.6451612903225806,29.0,33,29 +accuracy,0.5325443786982249,0.5325443786982249,0.5325443786982249,0.5325443786982249,0,0 +macro avg,0.5484036453562418,0.6250048963350664,0.5740669579117974,507.0,0,0 +weighted avg,0.5460869981396603,0.5325443786982249,0.530049581635699,507.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..04bae35db05522fdc486a4d0961c110380740e6f --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1560,0,24,1,35,15,21,16,17,25,49 +Sit to stand,51,106,17,10,0,0,0,0,0,0,0 +Stand to sit,12,27,151,47,0,0,0,0,0,0,0 +Sitting,0,23,0,195,0,0,0,0,0,0,0 +Stair up,13,0,0,0,143,0,0,2,0,0,0 +Stair down,19,0,0,0,0,119,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,197,0,0,0,0 +Ramp down,19,0,0,0,0,0,0,220,0,0,0 +Grass walking,24,0,0,0,0,3,0,0,277,1,0 +Uneven ground walking,22,0,0,0,0,0,0,0,0,261,0 +Carry,15,0,0,0,0,0,0,0,0,0,835 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c52eb066dc50cfa76d759cda7d656780074ef02b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1496,0,3,0,29,6,14,4,9,16,25 +Sit to stand,21,68,5,4,0,0,0,0,0,0,0 +Stand to sit,5,5,110,28,0,0,0,0,0,0,0 +Sitting,0,3,0,164,0,0,0,0,0,0,0 +Stair up,7,0,0,0,133,0,0,0,0,0,0 +Stair down,13,0,0,0,0,111,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,185,0,0,0,0 +Ramp down,12,0,0,0,0,0,0,211,0,0,0 +Grass walking,17,0,0,0,0,3,0,0,269,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,253,0 +Carry,9,0,0,0,0,0,0,0,0,0,810 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..683c949f7f638043c69eb0ed98746580255caaa3 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,64,0,21,1,6,9,7,12,8,9,24 +Sit to stand,30,38,12,6,0,0,0,0,0,0,0 +Stand to sit,7,22,41,19,0,0,0,0,0,0,0 +Sitting,0,20,0,31,0,0,0,0,0,0,0 +Stair up,6,0,0,0,10,0,0,2,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,12,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,9,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,8,1,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,8,0 +Carry,6,0,0,0,0,0,0,0,0,0,25 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b8222c4a3fccce5bc71515157a38fe5aa321d180 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8970672800460034,0.8848553601815088,0.8909194745859509,1763.0,1739,1763 +Sit to stand,0.6794871794871795,0.5760869565217391,0.6235294117647059,184.0,156,184 +Stand to sit,0.7864583333333334,0.6371308016877637,0.703962703962704,237.0,192,237 +Sitting,0.7707509881422925,0.8944954128440367,0.8280254777070064,218.0,253,218 +Stair up,0.8033707865168539,0.9050632911392406,0.8511904761904762,158.0,178,158 +Stair down,0.8686131386861314,0.8623188405797102,0.8654545454545455,138.0,137,138 +Ramp up,0.9036697247706422,0.9800995024875622,0.9403341288782816,201.0,218,201 +Ramp down,0.9243697478991597,0.9205020920502092,0.9224318658280922,239.0,238,239 +Grass walking,0.9421768707482994,0.9081967213114754,0.9248747913188647,305.0,294,305 +Uneven ground walking,0.9094076655052264,0.9222614840989399,0.9157894736842105,283.0,287,283 +Carry,0.9445701357466063,0.9823529411764705,0.9630911188004614,850.0,884,850 +accuracy,0.8881118881118881,0.8881118881118881,0.8881118881118881,0.8881118881118881,0,0 +macro avg,0.8572674409892479,0.8612148549162416,0.8572366789250272,4576.0,0,0 +weighted avg,0.8867883977923379,0.8881118881118881,0.8863726053698807,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a89fc109f90742bde989314d91a82fcd71aaea43 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9385194479297365,0.9338327091136079,0.9361702127659575,1602.0,1594,1602 +Sit to stand,0.8947368421052632,0.6938775510204082,0.7816091954022989,98.0,76,98 +Stand to sit,0.9322033898305084,0.7432432432432432,0.8270676691729323,148.0,118,148 +Sitting,0.8367346938775511,0.9820359281437125,0.9035812672176309,167.0,196,167 +Stair up,0.8209876543209876,0.95,0.8807947019867549,140.0,162,140 +Stair down,0.925,0.8951612903225806,0.9098360655737705,124.0,120,124 +Ramp up,0.9296482412060302,0.9893048128342246,0.9585492227979274,187.0,199,187 +Ramp down,0.9813953488372092,0.9461883408071748,0.9634703196347032,223.0,215,223 +Grass walking,0.9676258992805755,0.9307958477508651,0.9488536155202821,289.0,278,289 +Uneven ground walking,0.9405204460966543,0.9547169811320755,0.947565543071161,265.0,269,265 +Carry,0.9700598802395209,0.989010989010989,0.9794437726723095,819.0,835,819 +accuracy,0.9379615952732644,0.9379615952732644,0.9379615952732644,0.9379615952732644,0,0 +macro avg,0.9215847130658216,0.9098334266708072,0.912449235074157,4062.0,0,0 +weighted avg,0.9390910049747049,0.9379615952732644,0.937313638264971,4062.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6baf647335c048203d7c045937413617cd5f5082 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4413793103448276,0.39751552795031053,0.41830065359477125,161.0,145,161 +Sit to stand,0.475,0.4418604651162791,0.4578313253012048,86.0,80,86 +Stand to sit,0.5540540540540541,0.4606741573033708,0.5030674846625767,89.0,74,89 +Sitting,0.543859649122807,0.6078431372549019,0.5740740740740741,51.0,57,51 +Stair up,0.625,0.5555555555555556,0.5882352941176471,18.0,16,18 +Stair down,0.47058823529411764,0.5714285714285714,0.5161290322580645,14.0,17,14 +Ramp up,0.631578947368421,0.8571428571428571,0.7272727272727273,14.0,19,14 +Ramp down,0.391304347826087,0.5625,0.46153846153846156,16.0,23,16 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.4444444444444444,0.4444444444444444,0.4444444444444444,18.0,18,18 +Carry,0.5102040816326531,0.8064516129032258,0.625,31.0,49,31 +accuracy,0.49416342412451364,0.49416342412451364,0.49416342412451364,0.49416342412451364,0,0 +macro avg,0.5079466427352193,0.5641287571908652,0.5287175906603611,514.0,0,0 +weighted avg,0.49361334345271674,0.49416342412451364,0.4893505027812705,514.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..57dd6fb25219bc8447108e0ad84d525f11ed140a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1546,0,27,2,36,15,19,16,22,27,48 +Sit to stand,58,108,16,14,0,0,0,0,0,0,0 +Stand to sit,11,27,155,47,0,0,0,0,0,0,0 +Sitting,0,18,0,191,0,0,0,0,0,0,0 +Stair up,12,0,0,0,143,0,0,1,0,0,0 +Stair down,25,0,0,0,0,113,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,198,0,0,0,0 +Ramp down,23,0,0,0,0,0,0,217,0,0,0 +Grass walking,27,0,0,0,0,2,0,0,273,0,0 +Uneven ground walking,23,0,0,0,0,0,0,0,0,260,0 +Carry,14,0,0,0,0,0,0,0,0,0,837 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..108cf17a33bab348b039545edfdb32814a61b918 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1482,0,6,1,29,8,14,5,14,18,27 +Sit to stand,25,73,4,3,0,0,0,0,0,0,0 +Stand to sit,4,10,116,24,0,0,0,0,0,0,0 +Sitting,0,2,0,164,0,0,0,0,0,0,0 +Stair up,6,0,0,0,134,0,0,0,0,0,0 +Stair down,19,0,0,0,0,105,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,188,0,0,0,0 +Ramp down,17,0,0,0,0,0,0,207,0,0,0 +Grass walking,23,0,0,0,0,2,0,0,263,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,252,0 +Carry,8,0,0,0,0,0,0,0,0,0,812 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..86851b1588b20cf61185163260001440959c6735 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,64,0,21,1,7,7,5,11,8,9,21 +Sit to stand,33,35,12,11,0,0,0,0,0,0,0 +Stand to sit,7,17,39,23,0,0,0,0,0,0,0 +Sitting,0,16,0,27,0,0,0,0,0,0,0 +Stair up,6,0,0,0,9,0,0,1,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,10,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,10,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,8,0 +Carry,6,0,0,0,0,0,0,0,0,0,25 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..430b53b0ff2b23b703536fe330b357306039abb4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8864678899082569,0.8794084186575654,0.8829240434037693,1758.0,1744,1758 +Sit to stand,0.7058823529411765,0.5510204081632653,0.6189111747851003,196.0,153,196 +Stand to sit,0.7828282828282829,0.6458333333333334,0.7077625570776256,240.0,198,240 +Sitting,0.7519685039370079,0.9138755980861244,0.8250539956803455,209.0,254,209 +Stair up,0.7988826815642458,0.9166666666666666,0.8537313432835821,156.0,179,156 +Stair down,0.8692307692307693,0.8188405797101449,0.8432835820895522,138.0,130,138 +Ramp up,0.9124423963133641,0.9753694581280788,0.9428571428571428,203.0,217,203 +Ramp down,0.9273504273504274,0.9041666666666667,0.9156118143459916,240.0,234,240 +Grass walking,0.9254237288135593,0.9039735099337748,0.914572864321608,302.0,295,302 +Uneven ground walking,0.9059233449477352,0.9187279151943463,0.9122807017543859,283.0,287,283 +Carry,0.9457627118644067,0.9835487661574618,0.9642857142857143,851.0,885,851 +accuracy,0.8830856643356644,0.8830856643356644,0.8830856643356644,0.8830856643356644,0,0 +macro avg,0.8556511899726573,0.855584665517948,0.8528431758077105,4576.0,0,0 +weighted avg,0.8817463922309674,0.8830856643356644,0.8810034971940393,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6185dcd859cb1f537dc6b8f3040ff5a368fd60af --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.92625,0.9239401496259352,0.9250936329588015,1604.0,1600,1604 +Sit to stand,0.8588235294117647,0.6952380952380952,0.7684210526315789,105.0,85,105 +Stand to sit,0.9206349206349206,0.7532467532467533,0.8285714285714286,154.0,126,154 +Sitting,0.8541666666666666,0.9879518072289156,0.9162011173184358,166.0,192,166 +Stair up,0.8220858895705522,0.9571428571428572,0.8844884488448845,140.0,163,140 +Stair down,0.9130434782608695,0.8467741935483871,0.8786610878661087,124.0,115,124 +Ramp up,0.9306930693069307,0.9894736842105263,0.9591836734693877,190.0,202,190 +Ramp down,0.9764150943396226,0.9241071428571429,0.9495412844036697,224.0,212,224 +Grass walking,0.9494584837545126,0.9131944444444444,0.9309734513274336,288.0,277,288 +Uneven ground walking,0.9333333333333333,0.9473684210526315,0.9402985074626866,266.0,270,266 +Carry,0.9678188319427891,0.9902439024390244,0.9789029535864979,820.0,839,820 +accuracy,0.9301641754471943,0.9301641754471943,0.9301641754471943,0.9301641754471943,0,0 +macro avg,0.9138839361110875,0.9026074046395194,0.905485148949174,4081.0,0,0 +weighted avg,0.9308089064833008,0.9301641754471943,0.9294017313341544,4081.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..68cf0bd682c390db014c48268de60157f6e51457 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4444444444444444,0.4155844155844156,0.42953020134228187,154.0,144,154 +Sit to stand,0.5147058823529411,0.38461538461538464,0.44025157232704404,91.0,68,91 +Stand to sit,0.5416666666666666,0.45348837209302323,0.4936708860759494,86.0,72,86 +Sitting,0.43548387096774194,0.627906976744186,0.5142857142857142,43.0,62,43 +Stair up,0.5625,0.5625,0.5625,16.0,16,16 +Stair down,0.5333333333333333,0.5714285714285714,0.5517241379310345,14.0,15,14 +Ramp up,0.6666666666666666,0.7692307692307693,0.7142857142857143,13.0,15,13 +Ramp down,0.45454545454545453,0.625,0.5263157894736842,16.0,22,16 +Grass walking,0.5555555555555556,0.7142857142857143,0.625,14.0,18,14 +Uneven ground walking,0.47058823529411764,0.47058823529411764,0.47058823529411764,17.0,17,17 +Carry,0.5434782608695652,0.8064516129032258,0.6493506493506493,31.0,46,31 +accuracy,0.494949494949495,0.494949494949495,0.494949494949495,0.494949494949495,0,0 +macro avg,0.5202698518814988,0.5819163683799462,0.5434093545787445,495.0,0,0 +weighted avg,0.49620905857434994,0.494949494949495,0.4890733353201771,495.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..fea3e9db6d49969c8a853d8e19b1e1fe671464a5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1536,0,31,3,42,15,21,16,25,25,49 +Sit to stand,51,103,17,15,0,0,0,0,0,0,0 +Stand to sit,12,29,150,46,0,0,0,0,0,0,0 +Sitting,0,29,1,185,0,0,0,0,0,0,0 +Stair up,11,0,0,0,144,0,0,3,0,0,0 +Stair down,22,0,0,0,0,114,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,197,0,0,0,0 +Ramp down,26,0,0,0,1,0,0,215,0,0,0 +Grass walking,29,0,0,0,0,2,0,0,272,1,0 +Uneven ground walking,22,0,0,0,0,0,0,0,0,262,0 +Carry,14,0,0,0,0,0,0,0,0,0,836 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5bfd8bc51cb6abd932cedbb0421c2bb1acdc65d8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1471,0,6,1,34,8,13,7,17,15,27 +Sit to stand,21,69,4,7,0,0,0,0,0,0,0 +Stand to sit,6,11,111,24,0,0,0,0,0,0,0 +Sitting,0,3,0,161,0,0,0,0,0,0,0 +Stair up,7,0,0,0,134,0,0,1,0,0,0 +Stair down,16,0,0,0,0,106,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,185,0,0,0,0 +Ramp down,19,0,0,0,0,0,0,207,0,0,0 +Grass walking,23,0,0,0,0,2,0,0,265,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,253,0 +Carry,6,0,0,0,0,0,0,0,0,0,812 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..92d49986ba2df0e5a730419a8990f2b2b72a61eb --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,65,0,25,2,8,7,8,9,8,10,22 +Sit to stand,30,34,13,8,0,0,0,0,0,0,0 +Stand to sit,6,18,39,22,0,0,0,0,0,0,0 +Sitting,0,26,1,24,0,0,0,0,0,0,0 +Stair up,4,0,0,0,10,0,0,2,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,12,0,0,0,0 +Ramp down,7,0,0,0,1,0,0,8,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,7,1,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,9,0 +Carry,8,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..95cc11664d5c138e18404cf0a88a50ea4c038015 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8894035900405327,0.871242200794101,0.8802292263610315,1763.0,1727,1763 +Sit to stand,0.639751552795031,0.553763440860215,0.5936599423631124,186.0,161,186 +Stand to sit,0.7537688442211056,0.6329113924050633,0.6880733944954128,237.0,199,237 +Sitting,0.7429718875502008,0.8604651162790697,0.7974137931034483,215.0,249,215 +Stair up,0.7700534759358288,0.9113924050632911,0.8347826086956521,158.0,187,158 +Stair down,0.8702290076335878,0.8382352941176471,0.8539325842696629,136.0,131,136 +Ramp up,0.9036697247706422,0.9800995024875622,0.9403341288782816,201.0,218,201 +Ramp down,0.9188034188034188,0.8884297520661157,0.9033613445378151,242.0,234,242 +Grass walking,0.9158249158249159,0.8947368421052632,0.9051580698835274,304.0,297,304 +Uneven ground walking,0.9097222222222222,0.9225352112676056,0.916083916083916,284.0,288,284 +Carry,0.9446327683615819,0.9835294117647059,0.9636887608069165,850.0,885,850 +accuracy,0.8771853146853147,0.8771853146853147,0.8771853146853147,0.8771853146853147,0,0 +macro avg,0.8417119461962789,0.8488491426555128,0.843337979043525,4576.0,0,0 +weighted avg,0.8761171033347063,0.8771853146853147,0.8756347588247965,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..db442ebf1f8918e72adaa9aef819230b126c5c38 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9280757097791799,0.9199499687304565,0.9239949748743719,1599.0,1585,1599 +Sit to stand,0.8313253012048193,0.6831683168316832,0.75,101.0,83,101 +Stand to sit,0.9173553719008265,0.7302631578947368,0.8131868131868132,152.0,121,152 +Sitting,0.8341968911917098,0.9817073170731707,0.9019607843137255,164.0,193,164 +Stair up,0.7976190476190477,0.9436619718309859,0.864516129032258,142.0,168,142 +Stair down,0.9137931034482759,0.8688524590163934,0.8907563025210085,122.0,116,122 +Ramp up,0.9343434343434344,0.9893048128342246,0.961038961038961,187.0,198,187 +Ramp down,0.9627906976744186,0.915929203539823,0.9387755102040817,226.0,215,226 +Grass walking,0.9397163120567376,0.9137931034482759,0.9265734265734266,290.0,282,290 +Uneven ground walking,0.9440298507462687,0.947565543071161,0.9457943925233645,267.0,268,267 +Carry,0.9678188319427891,0.9926650366748166,0.9800844900422451,818.0,839,818 +accuracy,0.9277286135693216,0.9277286135693216,0.9277286135693216,0.9277286135693216,0,0 +macro avg,0.9064604138097733,0.8988055355405206,0.8996983440282051,4068.0,0,0 +weighted avg,0.9285915217544508,0.9277286135693216,0.9269905478542545,4068.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..68e47117bad50af20f7cf69f576c3c1ed2ba64db --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.45774647887323944,0.39634146341463417,0.42483660130718953,164.0,142,164 +Sit to stand,0.4358974358974359,0.4,0.4171779141104294,85.0,78,85 +Stand to sit,0.5,0.4588235294117647,0.4785276073619632,85.0,78,85 +Sitting,0.42857142857142855,0.47058823529411764,0.4485981308411215,51.0,56,51 +Stair up,0.5263157894736842,0.625,0.5714285714285714,16.0,19,16 +Stair down,0.5333333333333333,0.5714285714285714,0.5517241379310345,14.0,15,14 +Ramp up,0.6,0.8571428571428571,0.7058823529411765,14.0,20,14 +Ramp down,0.42105263157894735,0.5,0.45714285714285713,16.0,19,16 +Grass walking,0.4666666666666667,0.5,0.4827586206896552,14.0,15,14 +Uneven ground walking,0.45,0.5294117647058824,0.4864864864864865,17.0,20,17 +Carry,0.5217391304347826,0.75,0.6153846153846154,32.0,46,32 +accuracy,0.47244094488188976,0.47244094488188976,0.47244094488188976,0.47244094488188976,0,0 +macro avg,0.4855748086208653,0.5507942201270752,0.5127225359659182,508.0,0,0 +weighted avg,0.4692566817999829,0.47244094488188976,0.4674636003819224,508.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..81fbf8278ed44c9c0a89841c89f7abd1db746551 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1534,0,27,4,42,14,20,17,25,28,43 +Sit to stand,51,107,16,14,0,0,0,0,0,0,0 +Stand to sit,14,28,159,37,0,0,0,0,0,0,0 +Sitting,0,26,1,186,0,0,0,0,0,0,0 +Stair up,11,0,0,0,144,0,0,2,0,0,0 +Stair down,26,0,0,0,0,112,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,198,0,0,0,0 +Ramp down,26,0,0,0,1,0,0,213,0,0,0 +Grass walking,29,0,0,0,0,2,0,0,273,2,0 +Uneven ground walking,26,0,0,0,0,0,0,0,0,258,0 +Carry,16,0,0,0,0,0,0,0,0,0,838 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b1971175e47a72ee827c9a899184d84055a54f4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1469,0,7,2,34,8,15,6,17,17,25 +Sit to stand,19,72,4,7,0,0,0,0,0,0,0 +Stand to sit,8,9,114,18,0,0,0,0,0,0,0 +Sitting,0,4,0,162,0,0,0,0,0,0,0 +Stair up,8,0,0,0,133,0,0,1,0,0,0 +Stair down,20,0,0,0,0,104,0,0,0,0,0 +Ramp up,1,0,0,0,0,0,188,0,0,0,0 +Ramp down,19,0,0,0,0,0,0,204,0,0,0 +Grass walking,23,0,0,0,0,2,0,0,265,0,0 +Uneven ground walking,18,0,0,0,0,0,0,0,0,249,0 +Carry,7,0,0,0,0,0,0,0,0,0,814 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a5d12e07fccf7a8ca38dfd51b4ddf7b67be5354 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,65,0,20,2,8,6,5,11,8,11,18 +Sit to stand,32,35,12,7,0,0,0,0,0,0,0 +Stand to sit,6,19,45,19,0,0,0,0,0,0,0 +Sitting,0,22,1,24,0,0,0,0,0,0,0 +Stair up,3,0,0,0,11,0,0,1,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,10,0,0,0,0 +Ramp down,7,0,0,0,1,0,0,9,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,8,2,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,9,0 +Carry,9,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9e9955f54d8626efdf0c8a479bd8d153b9f48c90 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8821161587119034,0.8745724059293044,0.8783280847409104,1754.0,1739,1754 +Sit to stand,0.6645962732919255,0.5691489361702128,0.6131805157593123,188.0,161,188 +Stand to sit,0.7832512315270936,0.6680672268907563,0.7210884353741497,238.0,203,238 +Sitting,0.7717842323651453,0.8732394366197183,0.8193832599118943,213.0,241,213 +Stair up,0.7700534759358288,0.9171974522292994,0.8372093023255814,157.0,187,157 +Stair down,0.875,0.8115942028985508,0.8421052631578947,138.0,128,138 +Ramp up,0.908256880733945,0.9705882352941176,0.9383886255924171,204.0,218,204 +Ramp down,0.9181034482758621,0.8875,0.902542372881356,240.0,232,240 +Grass walking,0.9161073825503355,0.8921568627450981,0.9039735099337748,306.0,298,306 +Uneven ground walking,0.8958333333333334,0.9084507042253521,0.9020979020979021,284.0,288,284 +Carry,0.9511918274687855,0.9812646370023419,0.9659942363112392,854.0,881,854 +accuracy,0.8789335664335665,0.8789335664335665,0.8789335664335665,0.8789335664335665,0,0 +macro avg,0.8487540221994688,0.8503436454549774,0.8476628643714939,4576.0,0,0 +weighted avg,0.8779109811451166,0.8789335664335665,0.8775082367826071,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..36f13f119f9c9b082eacd24a0d79a3333efc96f5 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9227386934673367,0.918125,0.9204260651629073,1600.0,1592,1600 +Sit to stand,0.8470588235294118,0.7058823529411765,0.7700534759358288,102.0,85,102 +Stand to sit,0.912,0.7651006711409396,0.8321167883211679,149.0,125,149 +Sitting,0.8571428571428571,0.9759036144578314,0.9126760563380282,166.0,189,166 +Stair up,0.7964071856287425,0.9366197183098591,0.86084142394822,142.0,167,142 +Stair down,0.9122807017543859,0.8387096774193549,0.8739495798319328,124.0,114,124 +Ramp up,0.9261083743842364,0.9947089947089947,0.9591836734693877,189.0,203,189 +Ramp down,0.966824644549763,0.9147982062780269,0.9400921658986175,223.0,211,223 +Grass walking,0.9397163120567376,0.9137931034482759,0.9265734265734266,290.0,282,290 +Uneven ground walking,0.9360902255639098,0.9325842696629213,0.9343339587242027,267.0,266,267 +Carry,0.9702026221692491,0.9914738124238733,0.980722891566265,821.0,839,821 +accuracy,0.9265897372943777,0.9265897372943777,0.9265897372943777,0.9265897372943777,0,0 +macro avg,0.907870040022421,0.8988817655264776,0.9009972277972712,4073.0,0,0 +weighted avg,0.9272759153514529,0.9265897372943777,0.9260003038695176,4073.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..701250ce27e4679aedb90aead9219515b11344da --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4421768707482993,0.42207792207792205,0.4318936877076412,154.0,147,154 +Sit to stand,0.4605263157894737,0.4069767441860465,0.43209876543209874,86.0,76,86 +Stand to sit,0.5769230769230769,0.5056179775280899,0.5389221556886228,89.0,78,89 +Sitting,0.46153846153846156,0.5106382978723404,0.48484848484848486,47.0,52,47 +Stair up,0.55,0.7333333333333333,0.6285714285714286,15.0,20,15 +Stair down,0.5714285714285714,0.5714285714285714,0.5714285714285714,14.0,14,14 +Ramp up,0.6666666666666666,0.6666666666666666,0.6666666666666666,15.0,15,15 +Ramp down,0.42857142857142855,0.5294117647058824,0.47368421052631576,17.0,21,17 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.4090909090909091,0.5294117647058824,0.46153846153846156,17.0,22,17 +Carry,0.5714285714285714,0.7272727272727273,0.64,33.0,42,33 +accuracy,0.49304174950298213,0.49304174950298213,0.49304174950298213,0.49304174950298213,0,0 +macro avg,0.5125773520168598,0.5548032517979512,0.5299684029462083,503.0,0,0 +weighted avg,0.49321345007752876,0.49304174950298213,0.49079807004368997,503.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..a58355dbfc59b5efea4cd5a13511caf448fdce56 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1527,1,29,2,44,20,25,17,26,28,46 +Sit to stand,39,110,20,15,0,0,0,0,0,0,0 +Stand to sit,12,26,155,44,0,0,0,0,0,0,0 +Sitting,0,25,2,189,0,0,0,0,0,0,0 +Stair up,9,0,0,0,145,0,0,4,0,0,0 +Stair down,24,0,0,0,0,114,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,193,0,0,0,0 +Ramp down,27,0,0,0,0,0,0,212,0,0,0 +Grass walking,28,0,0,0,0,0,0,0,274,3,0 +Uneven ground walking,24,0,0,0,0,0,0,0,0,259,0 +Carry,16,0,0,0,0,0,0,0,0,0,834 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2416f7742dab86de44cd8ed33fce77dc23c9acf4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1462,1,6,1,38,11,18,6,18,17,25 +Sit to stand,20,66,6,6,0,0,0,0,0,0,0 +Stand to sit,6,6,114,22,0,0,0,0,0,0,0 +Sitting,0,5,0,160,0,0,0,0,0,0,0 +Stair up,5,0,0,0,134,0,0,1,0,0,0 +Stair down,18,0,0,0,0,106,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,184,0,0,0,0 +Ramp down,19,0,0,0,0,0,0,204,0,0,0 +Grass walking,22,0,0,0,0,0,0,0,266,1,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,251,0 +Carry,7,0,0,0,0,0,0,0,0,0,812 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9b6e77c24bf16044564789853923fdcbedfdad67 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,65,0,23,1,6,9,7,11,8,11,21 +Sit to stand,19,44,14,9,0,0,0,0,0,0,0 +Stand to sit,6,20,41,22,0,0,0,0,0,0,0 +Sitting,0,20,2,29,0,0,0,0,0,0,0 +Stair up,4,0,0,0,11,0,0,3,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,9,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,8,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,8,2,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,8,0 +Carry,9,0,0,0,0,0,0,0,0,0,22 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8e2dfeacfa7c2a7372a8d3983079853067a9030 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8908984830805134,0.8651558073654391,0.8778384593273929,1765.0,1714,1765 +Sit to stand,0.6790123456790124,0.5978260869565217,0.6358381502890174,184.0,162,184 +Stand to sit,0.7524271844660194,0.6540084388185654,0.6997742663656885,237.0,206,237 +Sitting,0.756,0.875,0.8111587982832618,216.0,250,216 +Stair up,0.7671957671957672,0.9177215189873418,0.8357348703170029,158.0,189,158 +Stair down,0.8507462686567164,0.8260869565217391,0.8382352941176471,138.0,134,138 +Ramp up,0.8853211009174312,0.9601990049751243,0.9212410501193318,201.0,218,201 +Ramp down,0.9098712446351931,0.8870292887029289,0.8983050847457628,239.0,233,239 +Grass walking,0.9133333333333333,0.898360655737705,0.9057851239669421,305.0,300,305 +Uneven ground walking,0.8931034482758621,0.9151943462897526,0.9040139616055847,283.0,290,283 +Carry,0.9477272727272728,0.9811764705882353,0.9641618497109826,850.0,880,850 +accuracy,0.8767482517482518,0.8767482517482518,0.8767482517482518,0.8767482517482518,0,0 +macro avg,0.8405124044515564,0.8525235068130321,0.8447351735316923,4576.0,0,0 +weighted avg,0.8762908973669541,0.8767482517482518,0.875581476081525,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4198663c2a1b568d162225b1eecde22b1f09d1a0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9276649746192893,0.9120399251403618,0.9197860962566845,1603.0,1576,1603 +Sit to stand,0.8461538461538461,0.673469387755102,0.75,98.0,78,98 +Stand to sit,0.9047619047619048,0.7702702702702703,0.8321167883211679,148.0,126,148 +Sitting,0.8465608465608465,0.9696969696969697,0.903954802259887,165.0,189,165 +Stair up,0.7790697674418605,0.9571428571428572,0.8589743589743589,140.0,172,140 +Stair down,0.905982905982906,0.8548387096774194,0.8796680497925311,124.0,117,124 +Ramp up,0.9108910891089109,0.983957219251337,0.9460154241645244,187.0,202,187 +Ramp down,0.966824644549763,0.9147982062780269,0.9400921658986175,223.0,211,223 +Grass walking,0.9366197183098591,0.9204152249134948,0.9284467713787086,289.0,284,289 +Uneven ground walking,0.9330855018587361,0.9471698113207547,0.9400749063670412,265.0,269,265 +Carry,0.970131421744325,0.9914529914529915,0.9806763285024155,819.0,837,819 +accuracy,0.9256340802757942,0.9256340802757942,0.9256340802757942,0.9256340802757942,0,0 +macro avg,0.9025224200992953,0.8995683248090532,0.8981641538105397,4061.0,0,0 +weighted avg,0.9267165478944892,0.9256340802757942,0.9250722741314732,4061.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4cbe5f95649e5e5c3eb5d954084b0873df8d1bf1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.47101449275362317,0.4012345679012346,0.43333333333333335,162.0,138,162 +Sit to stand,0.5238095238095238,0.5116279069767442,0.5176470588235295,86.0,84,86 +Stand to sit,0.5125,0.4606741573033708,0.48520710059171596,89.0,80,89 +Sitting,0.47540983606557374,0.5686274509803921,0.5178571428571429,51.0,61,51 +Stair up,0.6470588235294118,0.6111111111111112,0.6285714285714286,18.0,17,18 +Stair down,0.47058823529411764,0.5714285714285714,0.5161290322580645,14.0,17,14 +Ramp up,0.5625,0.6428571428571429,0.6,14.0,16,14 +Ramp down,0.36363636363636365,0.5,0.42105263157894735,16.0,22,16 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.38095238095238093,0.4444444444444444,0.41025641025641024,18.0,21,18 +Carry,0.5116279069767442,0.7096774193548387,0.5945945945945946,31.0,43,31 +accuracy,0.4912621359223301,0.4912621359223301,0.4912621359223301,0.4912621359223301,0,0 +macro avg,0.4926452330016126,0.5383347974870772,0.5113317029877424,515.0,0,0 +weighted avg,0.49292515033456524,0.4912621359223301,0.48894325317555365,515.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..8657d0c9449d783d9f9c2dbf1de3e90ef4852df8 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1533,2,29,4,38,16,28,19,32,30,36 +Sit to stand,65,78,17,24,0,0,0,0,0,0,0 +Stand to sit,16,33,137,51,0,0,0,0,0,0,0 +Sitting,4,28,0,182,0,0,0,0,0,0,0 +Stair up,16,0,0,0,134,0,0,8,0,0,0 +Stair down,23,0,0,0,0,115,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,193,0,0,0,0 +Ramp down,29,0,0,0,0,0,0,210,0,0,0 +Grass walking,29,0,0,0,0,0,0,0,270,6,0 +Uneven ground walking,24,0,0,0,0,0,0,0,0,259,0 +Carry,17,0,0,0,0,0,0,0,0,0,833 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7189b4fbbd7b87a72aa761b8cb6411ad2491cc9e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1466,2,8,4,31,7,20,7,24,17,20 +Sit to stand,31,48,6,13,0,0,0,0,0,0,0 +Stand to sit,7,11,103,27,0,0,0,0,0,0,0 +Sitting,1,8,0,154,0,0,0,0,0,0,0 +Stair up,11,0,0,0,126,0,0,3,0,0,0 +Stair down,17,0,0,0,0,107,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,184,0,0,0,0 +Ramp down,21,0,0,0,0,0,0,203,0,0,0 +Grass walking,24,0,0,0,0,0,0,0,262,3,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,251,0 +Carry,8,0,0,0,0,0,0,0,0,0,811 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..125911b94c35bac43979186b8dab92ea4828ff9c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,67,0,21,0,7,9,8,12,8,13,16 +Sit to stand,34,30,11,11,0,0,0,0,0,0,0 +Stand to sit,9,22,34,24,0,0,0,0,0,0,0 +Sitting,3,20,0,28,0,0,0,0,0,0,0 +Stair up,5,0,0,0,8,0,0,5,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,9,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,7,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,8,3,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,8,0 +Carry,9,0,0,0,0,0,0,0,0,0,22 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..a9a1a3a06201e179dce3f5d91a19acb42dc0c39d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8690476190476191,0.8675721561969439,0.8683092608326253,1767.0,1764,1767 +Sit to stand,0.5531914893617021,0.42391304347826086,0.48,184.0,141,184 +Stand to sit,0.7486338797814208,0.5780590717299579,0.6523809523809524,237.0,183,237 +Sitting,0.6973180076628352,0.8504672897196262,0.7663157894736842,214.0,261,214 +Stair up,0.7790697674418605,0.8481012658227848,0.8121212121212121,158.0,172,158 +Stair down,0.8778625954198473,0.8333333333333334,0.8550185873605948,138.0,131,138 +Ramp up,0.8733031674208145,0.9601990049751243,0.9146919431279621,201.0,221,201 +Ramp down,0.8860759493670886,0.8786610878661087,0.8823529411764706,239.0,237,239 +Grass walking,0.8940397350993378,0.8852459016393442,0.8896210873146623,305.0,302,305 +Uneven ground walking,0.8779661016949153,0.9151943462897526,0.8961937716262975,283.0,295,283 +Carry,0.9585730724971231,0.98,0.9691681210005817,850.0,869,850 +accuracy,0.8618881118881119,0.8618881118881119,0.8618881118881119,0.8618881118881119,0,0 +macro avg,0.8195528531631422,0.8200678637319306,0.816924878765004,4576.0,0,0 +weighted avg,0.8591618111078069,0.8618881118881119,0.8590519341095765,4576.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d419405b282020c1aea70f000c55d152d9851380 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9145352464129757,0.912826899128269,0.9136802742287317,1606.0,1603,1606 +Sit to stand,0.6956521739130435,0.4897959183673469,0.5748502994011976,98.0,69,98 +Stand to sit,0.8803418803418803,0.6959459459459459,0.7773584905660378,148.0,117,148 +Sitting,0.7777777777777778,0.9447852760736196,0.853185595567867,163.0,198,163 +Stair up,0.802547770700637,0.9,0.8484848484848485,140.0,157,140 +Stair down,0.9385964912280702,0.8629032258064516,0.8991596638655462,124.0,114,124 +Ramp up,0.9019607843137255,0.983957219251337,0.9411764705882353,187.0,204,187 +Ramp down,0.9530516431924883,0.90625,0.9290617848970252,224.0,213,224 +Grass walking,0.916083916083916,0.9065743944636678,0.9113043478260869,289.0,286,289 +Uneven ground walking,0.9261992619926199,0.9471698113207547,0.9365671641791045,265.0,271,265 +Carry,0.9759326113116726,0.9902319902319903,0.983030303030303,819.0,831,819 +accuracy,0.9143490031996062,0.9143490031996062,0.9143490031996062,0.9143490031996062,0,0 +macro avg,0.880243596115346,0.8673127891444893,0.8698053856940894,4063.0,0,0 +weighted avg,0.9141911511798678,0.9143490031996062,0.9128419267952637,4063.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8c9d07e4034d6f98fbe096c8615aed96f93f8ab0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4161490683229814,0.4161490683229814,0.4161490683229814,161.0,161,161 +Sit to stand,0.4166666666666667,0.3488372093023256,0.379746835443038,86.0,72,86 +Stand to sit,0.5151515151515151,0.38202247191011235,0.43870967741935485,89.0,66,89 +Sitting,0.4444444444444444,0.5490196078431373,0.49122807017543857,51.0,63,51 +Stair up,0.5333333333333333,0.4444444444444444,0.48484848484848486,18.0,15,18 +Stair down,0.47058823529411764,0.5714285714285714,0.5161290322580645,14.0,17,14 +Ramp up,0.5294117647058824,0.6428571428571429,0.5806451612903226,14.0,17,14 +Ramp down,0.2916666666666667,0.4666666666666667,0.358974358974359,15.0,24,15 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.3333333333333333,0.4444444444444444,0.38095238095238093,18.0,24,18 +Carry,0.5789473684210527,0.7096774193548387,0.6376811594202898,31.0,38,31 +accuracy,0.44639376218323584,0.44639376218323584,0.44639376218323584,0.44639376218323584,0,0 +macro avg,0.45724476330363567,0.4977770042340605,0.47136947537315593,513.0,0,0 +weighted avg,0.45082037674373776,0.44639376218323584,0.4441481605031356,513.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ced971a46f1856b8694c2e3ff88db1bdcf7e351 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results.csv @@ -0,0 +1,9 @@ +subject,accuracy_0.0s,macro_f1_0.0s,weighted_f1_0.0s,steady_macro_f1_0.0s,transition_macro_f1_0.0s,accuracy_0.1s,macro_f1_0.1s,weighted_f1_0.1s,steady_macro_f1_0.1s,transition_macro_f1_0.1s,accuracy_0.2s,macro_f1_0.2s,weighted_f1_0.2s,steady_macro_f1_0.2s,transition_macro_f1_0.2s,accuracy_0.3s,macro_f1_0.3s,weighted_f1_0.3s,steady_macro_f1_0.3s,transition_macro_f1_0.3s,accuracy_0.5s,macro_f1_0.5s,weighted_f1_0.5s,steady_macro_f1_0.5s,transition_macro_f1_0.5s,accuracy_1.0s,macro_f1_1.0s,weighted_f1_1.0s,steady_macro_f1_1.0s,transition_macro_f1_1.0s 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0000000000000000000000000000000000000000..9c7b21efa8f0866db64e37044b4f15e649229276 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results_horizon_0.0s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8885957792207793,0.8557908418070374,0.8818389929244312,0.8878788214789689,0.5215992741711144 +Subject06,Subject06,0.8704326923076923,0.8501054336973294,0.8628819237385118,0.8787204815439864,0.4935145580415622 +Subject07,Subject07,0.863,0.8244407371749783,0.8536911266268619,0.8639261037883887,0.5335782696802848 +Subject08,Subject08,0.9114105504587156,0.8972461050848313,0.9092852300045802,0.9392448221528743,0.5657483964825437 +Subject17,Subject17,0.9151041666666667,0.905866345895695,0.9141022573191397,0.9480585089699031,0.6807803403698067 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index 0000000000000000000000000000000000000000..1b96d8e10dfcb9672ff362932b085530e13f5674 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results_horizon_0.3s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8754058441558441,0.8429398703413973,0.8706245672247312,0.8725840032926684,0.5219970225739575 +Subject06,Subject06,0.8591346153846153,0.8369097683133208,0.852780048641663,0.8629478322644342,0.5052581005448247 +Subject07,Subject07,0.86475,0.8344856179777428,0.8597224160087548,0.8732518696086505,0.5579249550130364 +Subject08,Subject08,0.9059633027522935,0.8888843918088633,0.9036545447425732,0.9283562413187979,0.5686718720061661 +Subject17,Subject17,0.90390625,0.8919264049002863,0.9029543205806216,0.9395065898369908,0.6234816654338283 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a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results_horizon_1.0s.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results_horizon_1.0s.csv new file mode 100644 index 0000000000000000000000000000000000000000..c5f26a0a8c37eb8c6eceb24ba5d25afac16cf1b0 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/per_subject_results/test_subject_results_horizon_1.0s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8234577922077922,0.7857558583362511,0.8143934302204815,0.8106784624528532,0.4387663013554526 +Subject06,Subject06,0.8305288461538461,0.7991500285671068,0.8216231608572766,0.824336383470282,0.4600684156510219 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/dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/results.json @@ -0,0 +1,40 @@ +{ + "test_loss": 0.8422330860171886, + "evaluation_epoch": 48, + "prediction_horizons": [ + 0, + 0.1, + 0.2, + 0.3, + 0.5, + 1 + ], + "checkpoint": "outputs/train/revalexo_cross_population/evi_mae_fusion/20260409_091347_RevalExoDataset_raw_imu-video_EVI_MAE_Fusion/best_model.pt", + "config": "configs/train/revalexo_cross_population/evi_mae_fusion.yaml", + "test_subjects": [ + "Subject05", + "Subject06", + "Subject07", + "Subject08", + "Subject17", + "Subject26" + ], + "test_accuracy_horizon_0.0s": 0.8851062362030905, + "test_steady_accuracy_horizon_0.0s": 0.9212390397059387, + "test_transition_accuracy_horizon_0.0s": 0.5568695652173913, + "test_accuracy_horizon_0.1s": 0.8838990066225165, + "test_steady_accuracy_horizon_0.1s": 0.9195437495215494, + "test_transition_accuracy_horizon_0.1s": 0.5589672016748081, + "test_accuracy_horizon_0.2s": 0.8805532560706402, + "test_steady_accuracy_horizon_0.2s": 0.9179324329494586, + "test_transition_accuracy_horizon_0.2s": 0.538353765323993, + "test_accuracy_horizon_0.3s": 0.8781387969094923, + "test_steady_accuracy_horizon_0.3s": 0.9150506789061006, + "test_transition_accuracy_horizon_0.3s": 0.5391640323147172, + "test_accuracy_horizon_0.5s": 0.8733788631346578, + "test_steady_accuracy_horizon_0.5s": 0.9113536281830366, + "test_transition_accuracy_horizon_0.5s": 0.5286757038581856, + "test_accuracy_horizon_1.0s": 0.8460954746136865, + "test_steady_accuracy_horizon_1.0s": 0.8870171139783299, + "test_transition_accuracy_horizon_1.0s": 0.47406891750783153 +} \ No newline at end of file diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..cbf2fedc5d3895eef02234a344087ae4cc52b93b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9907,6,61,45,195,93,65,42,60,106,299 +Sit to stand,341,774,37,116,0,0,0,0,0,0,0 +Stand to sit,368,43,835,314,0,1,0,0,0,0,3 +Sitting,21,70,7,2229,0,0,0,0,0,0,0 +Stair up,39,0,0,0,937,0,0,4,0,18,0 +Stair down,71,0,0,0,0,800,0,0,0,0,0 +Ramp up,126,0,0,0,7,3,1231,0,0,1,0 +Ramp down,240,0,0,0,1,28,147,1162,0,0,0 +Grass walking,69,0,0,0,0,3,0,0,1412,1,0 +Uneven ground walking,67,0,0,0,0,0,0,0,0,1629,7 +Carry,206,0,0,0,0,0,0,0,0,0,4745 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3e8211b6342fc43e233a0db8d0107e46cbb447ac --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9348,6,11,33,141,51,38,14,21,67,218 +Sit to stand,156,577,18,38,0,0,0,0,0,0,0 +Stand to sit,244,15,668,155,0,0,0,0,0,0,3 +Sitting,18,24,0,1957,0,0,0,0,0,0,0 +Stair up,21,0,0,0,870,0,0,1,0,17,0 +Stair down,42,0,0,0,0,753,0,0,0,0,0 +Ramp up,92,0,0,0,7,3,1191,0,0,1,0 +Ramp down,198,0,0,0,1,28,147,1120,0,0,0 +Grass walking,41,0,0,0,0,3,0,0,1360,0,0 +Uneven ground walking,34,0,0,0,0,0,0,0,0,1577,7 +Carry,143,0,0,0,0,0,0,0,0,0,4639 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..72630da974b8700f396590559add13fe457e0e4b --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,559,0,50,12,54,42,27,28,39,39,81 +Sit to stand,185,197,19,78,0,0,0,0,0,0,0 +Stand to sit,124,28,167,159,0,1,0,0,0,0,0 +Sitting,3,46,7,272,0,0,0,0,0,0,0 +Stair up,18,0,0,0,67,0,0,3,0,1,0 +Stair down,29,0,0,0,0,47,0,0,0,0,0 +Ramp up,34,0,0,0,0,0,40,0,0,0,0 +Ramp down,42,0,0,0,0,0,0,42,0,0,0 +Grass walking,28,0,0,0,0,0,0,0,52,1,0 +Uneven ground walking,33,0,0,0,0,0,0,0,0,52,0 +Carry,63,0,0,0,0,0,0,0,0,0,106 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8e6815270841dad540872e7f7a70d03ea67beae --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8648625054561327,0.9106535527162423,0.8871675472373959,10879.0,11455,10879 +Sit to stand,0.8667413213885778,0.610410094637224,0.7163350300786673,1268.0,893,1268 +Stand to sit,0.8882978723404256,0.5338874680306905,0.6669329073482428,1564.0,940,1564 +Sitting,0.8243343195266272,0.9578856897292651,0.8861061419200954,2327.0,2704,2327 +Stair up,0.8219298245614035,0.938877755511022,0.8765201122544434,998.0,1140,998 +Stair down,0.8620689655172413,0.9184845005740528,0.8893829905503057,871.0,928,871 +Ramp up,0.853083853083853,0.8998538011695907,0.8758448950551405,1368.0,1443,1368 +Ramp down,0.9619205298013245,0.7363751584283904,0.8341708542713567,1578.0,1208,1578 +Grass walking,0.9592391304347826,0.9508417508417508,0.9550219817382483,1485.0,1472,1485 +Uneven ground walking,0.9282051282051282,0.9565472695243687,0.9421631000578369,1703.0,1755,1703 +Carry,0.9388603086664028,0.9583922439911129,0.9485257371314343,4951.0,5054,4951 +accuracy,0.8851062362030905,0.8851062362030905,0.8851062362030905,0.8851062362030905,0,0 +macro avg,0.8881403417256272,0.8520190259230646,0.861651936149379,28992.0,0,0 +weighted avg,0.8873126792707028,0.8851062362030905,0.8811955033101719,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef0e9cc4b747b00d207fc07470183f47f8f91c25 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9043242720325047,0.9396863691194209,0.9216662558540794,9948.0,10337,9948 +Sit to stand,0.927652733118971,0.7313054499366286,0.817859673990078,789.0,622,789 +Stand to sit,0.9583931133428981,0.6156682027649769,0.7497194163860831,1085.0,697,1085 +Sitting,0.896472743930371,0.9789894947473737,0.9359158297465328,1999.0,2183,1999 +Stair up,0.8537782139352306,0.9570957095709571,0.9024896265560166,909.0,1019,909 +Stair down,0.8985680190930787,0.9471698113207547,0.9222290263319045,795.0,838,795 +Ramp up,0.8655523255813954,0.9204018547140649,0.8921348314606742,1294.0,1376,1294 +Ramp down,0.986784140969163,0.749665327978581,0.8520349942944085,1494.0,1135,1494 +Grass walking,0.9847936278059377,0.9686609686609686,0.9766606822262118,1404.0,1381,1404 +Uneven ground walking,0.9488567990373045,0.9746600741656366,0.9615853658536585,1618.0,1662,1618 +Carry,0.9531538935689337,0.9700961940610623,0.9615504197326148,4782.0,4867,4782 +accuracy,0.9212390397059387,0.9212390397059387,0.9212390397059387,0.9212390397059387,0,0 +macro avg,0.9253027165832534,0.886672677912766,0.8994405565847511,26117.0,0,0 +weighted avg,0.9235612845498715,0.9212390397059387,0.9191131153376806,26117.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5a01551a40679cdac364605d8fc2df10b4fcd1e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5,0.6004296455424275,0.5456320156173743,931.0,1118,931 +Sit to stand,0.7269372693726938,0.4112734864300626,0.5253333333333333,479.0,271,479 +Stand to sit,0.6872427983539094,0.348643006263048,0.4626038781163435,479.0,243,479 +Sitting,0.5220729366602687,0.8292682926829268,0.64075382803298,328.0,521,328 +Stair up,0.5537190082644629,0.7528089887640449,0.638095238095238,89.0,121,89 +Stair down,0.5222222222222223,0.618421052631579,0.5662650602409639,76.0,90,76 +Ramp up,0.5970149253731343,0.5405405405405406,0.5673758865248227,74.0,67,74 +Ramp down,0.5753424657534246,0.5,0.535031847133758,84.0,73,84 +Grass walking,0.5714285714285714,0.6419753086419753,0.6046511627906976,81.0,91,81 +Uneven ground walking,0.5591397849462365,0.611764705882353,0.5842696629213483,85.0,93,85 +Carry,0.5668449197860963,0.6272189349112426,0.5955056179775281,169.0,187,169 +accuracy,0.5568695652173913,0.5568695652173913,0.5568695652173913,0.5568695652173913,0,0 +macro avg,0.5801786274691836,0.5893039965718365,0.5695925027985808,2875.0,0,0 +weighted avg,0.5861632401185849,0.5568695652173913,0.5486635871034481,2875.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..d8e6815270841dad540872e7f7a70d03ea67beae --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8648625054561327,0.9106535527162423,0.8871675472373959,10879.0,11455,10879 +Sit to stand,0.8667413213885778,0.610410094637224,0.7163350300786673,1268.0,893,1268 +Stand to sit,0.8882978723404256,0.5338874680306905,0.6669329073482428,1564.0,940,1564 +Sitting,0.8243343195266272,0.9578856897292651,0.8861061419200954,2327.0,2704,2327 +Stair up,0.8219298245614035,0.938877755511022,0.8765201122544434,998.0,1140,998 +Stair down,0.8620689655172413,0.9184845005740528,0.8893829905503057,871.0,928,871 +Ramp up,0.853083853083853,0.8998538011695907,0.8758448950551405,1368.0,1443,1368 +Ramp down,0.9619205298013245,0.7363751584283904,0.8341708542713567,1578.0,1208,1578 +Grass walking,0.9592391304347826,0.9508417508417508,0.9550219817382483,1485.0,1472,1485 +Uneven ground walking,0.9282051282051282,0.9565472695243687,0.9421631000578369,1703.0,1755,1703 +Carry,0.9388603086664028,0.9583922439911129,0.9485257371314343,4951.0,5054,4951 +accuracy,0.8851062362030905,0.8851062362030905,0.8851062362030905,0.8851062362030905,0,0 +macro avg,0.8881403417256272,0.8520190259230646,0.861651936149379,28992.0,0,0 +weighted avg,0.8873126792707028,0.8851062362030905,0.8811955033101719,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef0e9cc4b747b00d207fc07470183f47f8f91c25 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9043242720325047,0.9396863691194209,0.9216662558540794,9948.0,10337,9948 +Sit to stand,0.927652733118971,0.7313054499366286,0.817859673990078,789.0,622,789 +Stand to sit,0.9583931133428981,0.6156682027649769,0.7497194163860831,1085.0,697,1085 +Sitting,0.896472743930371,0.9789894947473737,0.9359158297465328,1999.0,2183,1999 +Stair up,0.8537782139352306,0.9570957095709571,0.9024896265560166,909.0,1019,909 +Stair down,0.8985680190930787,0.9471698113207547,0.9222290263319045,795.0,838,795 +Ramp up,0.8655523255813954,0.9204018547140649,0.8921348314606742,1294.0,1376,1294 +Ramp down,0.986784140969163,0.749665327978581,0.8520349942944085,1494.0,1135,1494 +Grass walking,0.9847936278059377,0.9686609686609686,0.9766606822262118,1404.0,1381,1404 +Uneven ground walking,0.9488567990373045,0.9746600741656366,0.9615853658536585,1618.0,1662,1618 +Carry,0.9531538935689337,0.9700961940610623,0.9615504197326148,4782.0,4867,4782 +accuracy,0.9212390397059387,0.9212390397059387,0.9212390397059387,0.9212390397059387,0,0 +macro avg,0.9253027165832534,0.886672677912766,0.8994405565847511,26117.0,0,0 +weighted avg,0.9235612845498715,0.9212390397059387,0.9191131153376806,26117.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..d5a01551a40679cdac364605d8fc2df10b4fcd1e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.0s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5,0.6004296455424275,0.5456320156173743,931.0,1118,931 +Sit to stand,0.7269372693726938,0.4112734864300626,0.5253333333333333,479.0,271,479 +Stand to sit,0.6872427983539094,0.348643006263048,0.4626038781163435,479.0,243,479 +Sitting,0.5220729366602687,0.8292682926829268,0.64075382803298,328.0,521,328 +Stair up,0.5537190082644629,0.7528089887640449,0.638095238095238,89.0,121,89 +Stair down,0.5222222222222223,0.618421052631579,0.5662650602409639,76.0,90,76 +Ramp up,0.5970149253731343,0.5405405405405406,0.5673758865248227,74.0,67,74 +Ramp down,0.5753424657534246,0.5,0.535031847133758,84.0,73,84 +Grass walking,0.5714285714285714,0.6419753086419753,0.6046511627906976,81.0,91,81 +Uneven ground walking,0.5591397849462365,0.611764705882353,0.5842696629213483,85.0,93,85 +Carry,0.5668449197860963,0.6272189349112426,0.5955056179775281,169.0,187,169 +accuracy,0.5568695652173913,0.5568695652173913,0.5568695652173913,0.5568695652173913,0,0 +macro avg,0.5801786274691836,0.5893039965718365,0.5695925027985808,2875.0,0,0 +weighted avg,0.5861632401185849,0.5568695652173913,0.5486635871034481,2875.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..12244122db70731ec1c595a6868647903dee9836 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9859,10,93,42,194,104,65,52,64,102,281 +Sit to stand,335,789,46,113,0,0,0,0,0,0,0 +Stand to sit,365,67,875,254,0,0,0,0,0,0,3 +Sitting,24,91,11,2191,0,0,0,0,0,0,0 +Stair up,36,0,0,0,924,0,0,2,0,26,0 +Stair down,80,0,0,0,0,783,0,0,0,0,0 +Ramp up,129,0,0,1,6,3,1236,0,0,1,0 +Ramp down,238,0,0,0,1,22,144,1184,0,0,0 +Grass walking,68,0,0,0,0,2,0,0,1410,0,0 +Uneven ground walking,67,0,0,0,0,0,0,0,0,1636,7 +Carry,217,0,0,0,0,0,0,0,0,0,4739 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f948a56b3a48bc833d79bb9c6619a92258031032 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9315,8,18,32,141,61,38,19,31,66,210 +Sit to stand,164,588,19,35,0,0,0,0,0,0,0 +Stand to sit,262,35,687,108,0,0,0,0,0,0,3 +Sitting,20,33,0,1930,0,0,0,0,0,0,0 +Stair up,18,0,0,0,860,0,0,1,0,23,0 +Stair down,52,0,0,0,0,735,0,0,0,0,0 +Ramp up,97,0,0,1,6,2,1194,0,0,1,0 +Ramp down,194,0,0,0,1,22,142,1143,0,0,0 +Grass walking,45,0,0,0,0,2,0,0,1355,0,0 +Uneven ground walking,35,0,0,0,0,0,0,0,0,1585,7 +Carry,150,0,0,0,0,0,0,0,0,0,4632 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b68becb842bdfe38f301a42e46733f3cc1a8f03 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,544,2,75,10,53,43,27,33,33,36,71 +Sit to stand,171,201,27,78,0,0,0,0,0,0,0 +Stand to sit,103,32,188,146,0,0,0,0,0,0,0 +Sitting,4,58,11,261,0,0,0,0,0,0,0 +Stair up,18,0,0,0,64,0,0,1,0,3,0 +Stair down,28,0,0,0,0,48,0,0,0,0,0 +Ramp up,32,0,0,0,0,1,42,0,0,0,0 +Ramp down,44,0,0,0,0,0,2,41,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,55,0,0 +Uneven ground walking,32,0,0,0,0,0,0,0,0,51,0 +Carry,67,0,0,0,0,0,0,0,0,0,107 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..942403ff4a9b97a2dd7147a8728ee9f010c88b28 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8634612016114906,0.9073256027977177,0.8848501166756417,10866.0,11418,10866 +Sit to stand,0.8244514106583072,0.6149649259547935,0.7044642857142858,1283.0,957,1283 +Stand to sit,0.8536585365853658,0.559462915601023,0.6759366550791811,1564.0,1025,1564 +Sitting,0.8423683198769704,0.945619335347432,0.8910126067507117,2317.0,2601,2317 +Stair up,0.8213333333333334,0.9352226720647774,0.8745858968291529,988.0,1125,988 +Stair down,0.8566739606126915,0.9073001158748552,0.8812605514912775,863.0,914,863 +Ramp up,0.855363321799308,0.8982558139534884,0.8762850053172634,1376.0,1445,1376 +Ramp down,0.9563812600969306,0.7451227186910007,0.8376370711001061,1589.0,1238,1589 +Grass walking,0.9565807327001357,0.9527027027027027,0.9546377792823291,1480.0,1474,1480 +Uneven ground walking,0.9269121813031161,0.9567251461988304,0.9415827338129497,1710.0,1765,1710 +Carry,0.9421471172962227,0.9562146892655368,0.9491287802924093,4956.0,5030,4956 +accuracy,0.8838990066225165,0.8838990066225165,0.8838990066225165,0.8838990066225165,0,0 +macro avg,0.8817573978067156,0.8526287853138325,0.8610346802132098,28992.0,0,0 +weighted avg,0.8845380472936012,0.8838990066225165,0.8805358375876159,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..20b3f2b45f75c0ad7a8bc0a0ee49ca6ea311f00a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8998261205564142,0.9372170238454572,0.9181410477551624,9939.0,10352,9939 +Sit to stand,0.8855421686746988,0.7295285359801489,0.8,806.0,664,806 +Stand to sit,0.9488950276243094,0.6273972602739726,0.7553600879604178,1095.0,724,1095 +Sitting,0.9164292497625831,0.9732728189611699,0.9439960870628515,1983.0,2106,1983 +Stair up,0.8531746031746031,0.9534368070953437,0.900523560209424,902.0,1008,902 +Stair down,0.8941605839416058,0.9339263024142312,0.9136109384711001,787.0,822,787 +Ramp up,0.868995633187773,0.9177555726364335,0.8927102803738318,1301.0,1374,1301 +Ramp down,0.9828030954428203,0.7609853528628495,0.8577861163227017,1502.0,1163,1502 +Grass walking,0.9776334776334776,0.9664764621968617,0.9720229555236729,1402.0,1386,1402 +Uneven ground walking,0.9462686567164179,0.9741856177012908,0.9600242277407631,1627.0,1675,1627 +Carry,0.9546578730420445,0.9686323713927227,0.9615943533319493,4782.0,4852,4782 +accuracy,0.9195437495215494,0.9195437495215494,0.9195437495215494,0.9195437495215494,0,0 +macro avg,0.9207624081597043,0.885710375032771,0.8977972413410794,26126.0,0,0 +weighted avg,0.9212598440807844,0.9195437495215494,0.9176085926579404,26126.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..81c1c69ed36a6fb7c3ebeb3dec09dc5d8fa94edf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5103189493433395,0.5868392664509169,0.5459106874059207,927.0,1066,927 +Sit to stand,0.6860068259385665,0.42138364779874216,0.522077922077922,477.0,293,477 +Stand to sit,0.6245847176079734,0.40085287846481876,0.4883116883116883,469.0,301,469 +Sitting,0.5272727272727272,0.781437125748503,0.6296743063932448,334.0,495,334 +Stair up,0.5470085470085471,0.7441860465116279,0.6305418719211823,86.0,117,86 +Stair down,0.5217391304347826,0.631578947368421,0.5714285714285714,76.0,92,76 +Ramp up,0.5915492957746479,0.56,0.5753424657534246,75.0,71,75 +Ramp down,0.5466666666666666,0.47126436781609193,0.5061728395061729,87.0,75,87 +Grass walking,0.625,0.7051282051282052,0.6626506024096386,78.0,88,78 +Uneven ground walking,0.5666666666666667,0.6144578313253012,0.5895953757225434,83.0,90,83 +Carry,0.601123595505618,0.6149425287356322,0.6079545454545454,174.0,178,174 +accuracy,0.5589672016748081,0.5589672016748081,0.5589672016748081,0.5589672016748081,0,0 +macro avg,0.5770851929290487,0.5938246223043873,0.5754237160349867,2866.0,0,0 +weighted avg,0.5751326554680357,0.5589672016748081,0.55326933868609,2866.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..942403ff4a9b97a2dd7147a8728ee9f010c88b28 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8634612016114906,0.9073256027977177,0.8848501166756417,10866.0,11418,10866 +Sit to stand,0.8244514106583072,0.6149649259547935,0.7044642857142858,1283.0,957,1283 +Stand to sit,0.8536585365853658,0.559462915601023,0.6759366550791811,1564.0,1025,1564 +Sitting,0.8423683198769704,0.945619335347432,0.8910126067507117,2317.0,2601,2317 +Stair up,0.8213333333333334,0.9352226720647774,0.8745858968291529,988.0,1125,988 +Stair down,0.8566739606126915,0.9073001158748552,0.8812605514912775,863.0,914,863 +Ramp up,0.855363321799308,0.8982558139534884,0.8762850053172634,1376.0,1445,1376 +Ramp down,0.9563812600969306,0.7451227186910007,0.8376370711001061,1589.0,1238,1589 +Grass walking,0.9565807327001357,0.9527027027027027,0.9546377792823291,1480.0,1474,1480 +Uneven ground walking,0.9269121813031161,0.9567251461988304,0.9415827338129497,1710.0,1765,1710 +Carry,0.9421471172962227,0.9562146892655368,0.9491287802924093,4956.0,5030,4956 +accuracy,0.8838990066225165,0.8838990066225165,0.8838990066225165,0.8838990066225165,0,0 +macro avg,0.8817573978067156,0.8526287853138325,0.8610346802132098,28992.0,0,0 +weighted avg,0.8845380472936012,0.8838990066225165,0.8805358375876159,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..20b3f2b45f75c0ad7a8bc0a0ee49ca6ea311f00a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8998261205564142,0.9372170238454572,0.9181410477551624,9939.0,10352,9939 +Sit to stand,0.8855421686746988,0.7295285359801489,0.8,806.0,664,806 +Stand to sit,0.9488950276243094,0.6273972602739726,0.7553600879604178,1095.0,724,1095 +Sitting,0.9164292497625831,0.9732728189611699,0.9439960870628515,1983.0,2106,1983 +Stair up,0.8531746031746031,0.9534368070953437,0.900523560209424,902.0,1008,902 +Stair down,0.8941605839416058,0.9339263024142312,0.9136109384711001,787.0,822,787 +Ramp up,0.868995633187773,0.9177555726364335,0.8927102803738318,1301.0,1374,1301 +Ramp down,0.9828030954428203,0.7609853528628495,0.8577861163227017,1502.0,1163,1502 +Grass walking,0.9776334776334776,0.9664764621968617,0.9720229555236729,1402.0,1386,1402 +Uneven ground walking,0.9462686567164179,0.9741856177012908,0.9600242277407631,1627.0,1675,1627 +Carry,0.9546578730420445,0.9686323713927227,0.9615943533319493,4782.0,4852,4782 +accuracy,0.9195437495215494,0.9195437495215494,0.9195437495215494,0.9195437495215494,0,0 +macro avg,0.9207624081597043,0.885710375032771,0.8977972413410794,26126.0,0,0 +weighted avg,0.9212598440807844,0.9195437495215494,0.9176085926579404,26126.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..81c1c69ed36a6fb7c3ebeb3dec09dc5d8fa94edf --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.1s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5103189493433395,0.5868392664509169,0.5459106874059207,927.0,1066,927 +Sit to stand,0.6860068259385665,0.42138364779874216,0.522077922077922,477.0,293,477 +Stand to sit,0.6245847176079734,0.40085287846481876,0.4883116883116883,469.0,301,469 +Sitting,0.5272727272727272,0.781437125748503,0.6296743063932448,334.0,495,334 +Stair up,0.5470085470085471,0.7441860465116279,0.6305418719211823,86.0,117,86 +Stair down,0.5217391304347826,0.631578947368421,0.5714285714285714,76.0,92,76 +Ramp up,0.5915492957746479,0.56,0.5753424657534246,75.0,71,75 +Ramp down,0.5466666666666666,0.47126436781609193,0.5061728395061729,87.0,75,87 +Grass walking,0.625,0.7051282051282052,0.6626506024096386,78.0,88,78 +Uneven ground walking,0.5666666666666667,0.6144578313253012,0.5895953757225434,83.0,90,83 +Carry,0.601123595505618,0.6149425287356322,0.6079545454545454,174.0,178,174 +accuracy,0.5589672016748081,0.5589672016748081,0.5589672016748081,0.5589672016748081,0,0 +macro avg,0.5770851929290487,0.5938246223043873,0.5754237160349867,2866.0,0,0 +weighted avg,0.5751326554680357,0.5589672016748081,0.55326933868609,2866.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..2590c31618d829091ee4b48df3aa072ca8a4131e --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9821,11,135,40,194,103,69,61,72,111,271 +Sit to stand,318,783,49,105,0,0,0,0,0,0,0 +Stand to sit,376,83,897,213,0,0,0,0,0,0,2 +Sitting,26,152,12,2139,0,0,0,0,0,0,0 +Stair up,46,0,0,0,909,0,0,5,0,30,0 +Stair down,81,0,0,0,0,784,0,0,0,0,0 +Ramp up,124,0,0,1,4,2,1237,2,0,1,0 +Ramp down,217,0,0,0,1,19,148,1197,0,0,0 +Grass walking,72,0,0,0,0,2,0,0,1409,1,0 +Uneven ground walking,67,0,0,0,0,0,0,0,0,1633,7 +Carry,230,0,0,0,0,0,0,0,0,0,4720 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..682e1e7a5c0915071eadd05691dd1e2ef21d4094 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9309,7,35,30,143,63,40,27,34,73,199 +Sit to stand,155,572,15,44,0,0,0,0,0,0,0 +Stand to sit,274,39,703,87,0,0,0,0,0,0,2 +Sitting,22,55,0,1911,0,0,0,0,0,0,0 +Stair up,26,0,0,0,850,0,0,3,0,28,0 +Stair down,50,0,0,0,0,739,0,0,0,0,0 +Ramp up,90,0,0,1,4,2,1194,2,0,1,0 +Ramp down,178,0,0,0,0,19,146,1155,0,0,0 +Grass walking,43,0,0,0,0,2,0,0,1359,0,0 +Uneven ground walking,36,0,0,0,0,0,0,0,0,1582,7 +Carry,163,0,0,0,0,0,0,0,0,0,4618 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..dcdecdd57c162ab1b51c40efd5622df63f78cd57 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,512,4,100,10,51,40,29,34,38,38,72 +Sit to stand,163,211,34,61,0,0,0,0,0,0,0 +Stand to sit,102,44,194,126,0,0,0,0,0,0,0 +Sitting,4,97,12,228,0,0,0,0,0,0,0 +Stair up,20,0,0,0,59,0,0,2,0,2,0 +Stair down,31,0,0,0,0,45,0,0,0,0,0 +Ramp up,34,0,0,0,0,0,43,0,0,0,0 +Ramp down,39,0,0,0,1,0,2,42,0,0,0 +Grass walking,29,0,0,0,0,0,0,0,50,1,0 +Uneven ground walking,31,0,0,0,0,0,0,0,0,51,0 +Carry,67,0,0,0,0,0,0,0,0,0,102 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6452ad9a7bb4a46f99297f974591731ff652171d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8631569695904376,0.9020022042615724,0.8821521602443186,10888.0,11378,10888 +Sit to stand,0.760932944606414,0.6239043824701195,0.6856392294220666,1255.0,1029,1255 +Stand to sit,0.8206770356816102,0.5709739019732655,0.6734234234234234,1571.0,1093,1571 +Sitting,0.8562850280224179,0.918419922713611,0.8862647607209447,2329.0,2498,2329 +Stair up,0.8203971119133574,0.9181818181818182,0.8665395614871306,990.0,1108,990 +Stair down,0.8615384615384616,0.9063583815028902,0.8833802816901408,865.0,910,865 +Ramp up,0.8507565337001376,0.9022611232676878,0.8757522123893805,1371.0,1454,1371 +Ramp down,0.9462450592885375,0.7566371681415929,0.8408851422550052,1582.0,1265,1582 +Grass walking,0.9513841998649561,0.9494609164420486,0.9504215851602024,1484.0,1481,1484 +Uneven ground walking,0.9194819819819819,0.9566490919742238,0.9376973873097905,1707.0,1776,1707 +Carry,0.944,0.9535353535353536,0.9487437185929648,4950.0,5000,4950 +accuracy,0.8805532560706402,0.8805532560706402,0.8805532560706402,0.8805532560706402,0,0 +macro avg,0.8722595751080284,0.8507622058603804,0.8573544966086698,28992.0,0,0 +weighted avg,0.8799522654893398,0.8805532560706402,0.8777490323848071,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5db702961ee4cd7327ab79f46be8fa785db767f7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8997680262903538,0.9346385542168675,0.9168718605338324,9960.0,10346,9960 +Sit to stand,0.849925705794948,0.727735368956743,0.7840986977381769,786.0,673,786 +Stand to sit,0.9335989375830013,0.6361990950226244,0.7567276641550054,1105.0,753,1105 +Sitting,0.9218523878437048,0.9612676056338029,0.9411475006156119,1988.0,2073,1988 +Stair up,0.8525576730190572,0.9371554575523704,0.8928571428571429,907.0,997,907 +Stair down,0.8957575757575758,0.9366286438529785,0.9157372986369269,789.0,825,789 +Ramp up,0.8652173913043478,0.9227202472952086,0.8930441286462228,1294.0,1380,1294 +Ramp down,0.9730412805391744,0.7710280373831776,0.8603351955307262,1498.0,1187,1498 +Grass walking,0.9755922469490309,0.967948717948718,0.9717554522702896,1404.0,1393,1404 +Uneven ground walking,0.9394299287410927,0.9735384615384616,0.9561801148383198,1625.0,1684,1625 +Carry,0.9569001243265645,0.965906714076553,0.9613823253877382,4781.0,4826,4781 +accuracy,0.9179324329494586,0.9179324329494586,0.9179324329494586,0.9179324329494586,0,0 +macro avg,0.9148764798317138,0.8849788094070459,0.895467034655454,26137.0,0,0 +weighted avg,0.9190983985266786,0.9179324329494586,0.916201409086813,26137.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fc7bd7627ecc9bb0c66ceab09bd6b9a24c6bcac7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49612403100775193,0.5517241379310345,0.5224489795918368,928.0,1032,928 +Sit to stand,0.5926966292134831,0.44989339019189767,0.5115151515151515,469.0,356,469 +Stand to sit,0.5705882352941176,0.41630901287553645,0.4813895781637717,466.0,340,466 +Sitting,0.5364705882352941,0.6686217008797654,0.5953002610966057,341.0,425,341 +Stair up,0.5315315315315315,0.7108433734939759,0.6082474226804123,83.0,111,83 +Stair down,0.5294117647058824,0.5921052631578947,0.5590062111801242,76.0,85,76 +Ramp up,0.581081081081081,0.5584415584415584,0.5695364238410596,77.0,74,77 +Ramp down,0.5384615384615384,0.5,0.5185185185185185,84.0,78,84 +Grass walking,0.5681818181818182,0.625,0.5952380952380952,80.0,88,80 +Uneven ground walking,0.5543478260869565,0.6219512195121951,0.5862068965517241,82.0,92,82 +Carry,0.5862068965517241,0.6035502958579881,0.5947521865889213,169.0,174,169 +accuracy,0.538353765323993,0.538353765323993,0.538353765323993,0.538353765323993,0,0 +macro avg,0.5531910854864709,0.5725854502128951,0.5583781568151109,2855.0,0,0 +weighted avg,0.5434377809216482,0.538353765323993,0.535424936102763,2855.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..6452ad9a7bb4a46f99297f974591731ff652171d --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8631569695904376,0.9020022042615724,0.8821521602443186,10888.0,11378,10888 +Sit to stand,0.760932944606414,0.6239043824701195,0.6856392294220666,1255.0,1029,1255 +Stand to sit,0.8206770356816102,0.5709739019732655,0.6734234234234234,1571.0,1093,1571 +Sitting,0.8562850280224179,0.918419922713611,0.8862647607209447,2329.0,2498,2329 +Stair up,0.8203971119133574,0.9181818181818182,0.8665395614871306,990.0,1108,990 +Stair down,0.8615384615384616,0.9063583815028902,0.8833802816901408,865.0,910,865 +Ramp up,0.8507565337001376,0.9022611232676878,0.8757522123893805,1371.0,1454,1371 +Ramp down,0.9462450592885375,0.7566371681415929,0.8408851422550052,1582.0,1265,1582 +Grass walking,0.9513841998649561,0.9494609164420486,0.9504215851602024,1484.0,1481,1484 +Uneven ground walking,0.9194819819819819,0.9566490919742238,0.9376973873097905,1707.0,1776,1707 +Carry,0.944,0.9535353535353536,0.9487437185929648,4950.0,5000,4950 +accuracy,0.8805532560706402,0.8805532560706402,0.8805532560706402,0.8805532560706402,0,0 +macro avg,0.8722595751080284,0.8507622058603804,0.8573544966086698,28992.0,0,0 +weighted avg,0.8799522654893398,0.8805532560706402,0.8777490323848071,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..5db702961ee4cd7327ab79f46be8fa785db767f7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8997680262903538,0.9346385542168675,0.9168718605338324,9960.0,10346,9960 +Sit to stand,0.849925705794948,0.727735368956743,0.7840986977381769,786.0,673,786 +Stand to sit,0.9335989375830013,0.6361990950226244,0.7567276641550054,1105.0,753,1105 +Sitting,0.9218523878437048,0.9612676056338029,0.9411475006156119,1988.0,2073,1988 +Stair up,0.8525576730190572,0.9371554575523704,0.8928571428571429,907.0,997,907 +Stair down,0.8957575757575758,0.9366286438529785,0.9157372986369269,789.0,825,789 +Ramp up,0.8652173913043478,0.9227202472952086,0.8930441286462228,1294.0,1380,1294 +Ramp down,0.9730412805391744,0.7710280373831776,0.8603351955307262,1498.0,1187,1498 +Grass walking,0.9755922469490309,0.967948717948718,0.9717554522702896,1404.0,1393,1404 +Uneven ground walking,0.9394299287410927,0.9735384615384616,0.9561801148383198,1625.0,1684,1625 +Carry,0.9569001243265645,0.965906714076553,0.9613823253877382,4781.0,4826,4781 +accuracy,0.9179324329494586,0.9179324329494586,0.9179324329494586,0.9179324329494586,0,0 +macro avg,0.9148764798317138,0.8849788094070459,0.895467034655454,26137.0,0,0 +weighted avg,0.9190983985266786,0.9179324329494586,0.916201409086813,26137.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..fc7bd7627ecc9bb0c66ceab09bd6b9a24c6bcac7 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.2s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49612403100775193,0.5517241379310345,0.5224489795918368,928.0,1032,928 +Sit to stand,0.5926966292134831,0.44989339019189767,0.5115151515151515,469.0,356,469 +Stand to sit,0.5705882352941176,0.41630901287553645,0.4813895781637717,466.0,340,466 +Sitting,0.5364705882352941,0.6686217008797654,0.5953002610966057,341.0,425,341 +Stair up,0.5315315315315315,0.7108433734939759,0.6082474226804123,83.0,111,83 +Stair down,0.5294117647058824,0.5921052631578947,0.5590062111801242,76.0,85,76 +Ramp up,0.581081081081081,0.5584415584415584,0.5695364238410596,77.0,74,77 +Ramp down,0.5384615384615384,0.5,0.5185185185185185,84.0,78,84 +Grass walking,0.5681818181818182,0.625,0.5952380952380952,80.0,88,80 +Uneven ground walking,0.5543478260869565,0.6219512195121951,0.5862068965517241,82.0,92,82 +Carry,0.5862068965517241,0.6035502958579881,0.5947521865889213,169.0,174,169 +accuracy,0.538353765323993,0.538353765323993,0.538353765323993,0.538353765323993,0,0 +macro avg,0.5531910854864709,0.5725854502128951,0.5583781568151109,2855.0,0,0 +weighted avg,0.5434377809216482,0.538353765323993,0.535424936102763,2855.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..07354d481de004a5378f0f89c752b66239cd94b4 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9791,14,135,37,183,107,78,70,68,126,264 +Sit to stand,319,791,45,128,0,0,0,0,0,0,0 +Stand to sit,413,94,889,170,0,0,0,0,0,0,2 +Sitting,30,175,15,2083,0,0,0,0,0,0,0 +Stair up,50,0,0,0,906,0,0,5,0,32,0 +Stair down,90,0,0,0,0,773,0,0,0,0,0 +Ramp up,118,0,0,0,3,2,1248,2,0,1,0 +Ramp down,187,0,0,0,1,15,159,1223,0,0,0 +Grass walking,70,0,0,0,0,2,0,0,1413,2,0 +Uneven ground walking,72,0,0,0,0,0,0,0,0,1633,7 +Carry,242,0,0,0,0,0,0,0,0,0,4709 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b3950bb5ec833f410cc7676f768992264c3983a --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9261,8,43,30,136,68,46,34,36,89,197 +Sit to stand,147,587,16,60,0,0,0,0,0,0,0 +Stand to sit,304,43,679,63,0,0,0,0,0,0,2 +Sitting,23,77,1,1883,0,0,0,0,0,0,0 +Stair up,32,0,0,0,849,0,0,2,0,27,0 +Stair down,62,0,0,0,0,727,0,0,0,0,0 +Ramp up,87,0,0,0,3,2,1201,2,0,1,0 +Ramp down,148,0,0,0,0,15,158,1178,0,0,0 +Grass walking,44,0,0,0,0,2,0,0,1358,0,0 +Uneven ground walking,37,0,0,0,0,0,0,0,0,1586,7 +Carry,169,0,0,0,0,0,0,0,0,0,4615 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..010e72f9bf90366c60cf2180e76f481bbe424806 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,530,6,92,7,47,39,32,36,32,37,67 +Sit to stand,172,204,29,68,0,0,0,0,0,0,0 +Stand to sit,109,51,210,107,0,0,0,0,0,0,0 +Sitting,7,98,14,200,0,0,0,0,0,0,0 +Stair up,18,0,0,0,57,0,0,3,0,5,0 +Stair down,28,0,0,0,0,46,0,0,0,0,0 +Ramp up,31,0,0,0,0,0,47,0,0,0,0 +Ramp down,39,0,0,0,1,0,1,45,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,55,2,0 +Uneven ground walking,35,0,0,0,0,0,0,0,0,47,0 +Carry,73,0,0,0,0,0,0,0,0,0,94 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d1120c2b8c080c751c60279aeea16de860632c2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8602178878931647,0.9004874459670744,0.8798921590653785,10873.0,11382,10873 +Sit to stand,0.7364990689013036,0.6165237724084178,0.6711921934662707,1283.0,1074,1283 +Stand to sit,0.8201107011070111,0.5669642857142857,0.6704374057315233,1568.0,1084,1568 +Sitting,0.8614557485525227,0.9044724272687799,0.8824401609828426,2303.0,2418,2303 +Stair up,0.8289112534309241,0.9123867069486404,0.8686481303930969,993.0,1093,993 +Stair down,0.8598442714126807,0.895712630359212,0.8774120317820658,863.0,899,863 +Ramp up,0.8404040404040404,0.9082969432314411,0.8730325288562435,1374.0,1485,1374 +Ramp down,0.9407692307692308,0.771608832807571,0.8478336221837088,1585.0,1300,1585 +Grass walking,0.9540850776502363,0.9502353732347008,0.9521563342318059,1487.0,1481,1487 +Uneven ground walking,0.9102564102564102,0.9538551401869159,0.9315459212778094,1712.0,1794,1712 +Carry,0.9452027298273785,0.9511209856594627,0.9481526225712272,4951.0,4982,4951 +accuracy,0.8781387969094923,0.8781387969094923,0.8781387969094923,0.8781387969094923,0,0 +macro avg,0.8688869472913548,0.8483331403442275,0.8547948282310884,28992.0,0,0 +weighted avg,0.8773356316254712,0.8781387969094923,0.8754075764336361,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..cce87a51bc08e155fd39c161b2d7c7cdc19190dd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8979057591623036,0.9309408926417371,0.9141249629848979,9948.0,10314,9948 +Sit to stand,0.820979020979021,0.7246913580246913,0.7698360655737705,810.0,715,810 +Stand to sit,0.918809201623816,0.6223648029330889,0.7420765027322405,1091.0,739,1091 +Sitting,0.924852652259332,0.9490927419354839,0.93681592039801,1984.0,2036,1984 +Stair up,0.8593117408906883,0.932967032967033,0.8946259220231823,910.0,988,910 +Stair down,0.8931203931203932,0.9214195183776933,0.9070492825951342,789.0,814,789 +Ramp up,0.8548042704626334,0.9266975308641975,0.8893002591632728,1296.0,1405,1296 +Ramp down,0.96875,0.7858572381587725,0.8677716390423573,1499.0,1216,1499 +Grass walking,0.9741750358680057,0.9672364672364673,0.9706933523945676,1404.0,1394,1404 +Uneven ground walking,0.9312977099236641,0.9730061349693252,0.9516951695169517,1630.0,1703,1630 +Carry,0.9572702758763741,0.9646739130434783,0.9609578344612181,4784.0,4821,4784 +accuracy,0.9150506789061006,0.9150506789061006,0.9150506789061006,0.9150506789061006,0,0 +macro avg,0.9092069145605663,0.8817225119229062,0.8913588100805095,26145.0,0,0 +weighted avg,0.9159171649042883,0.9150506789061006,0.913366370793072,26145.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..9548001bc389f27a87586fee0e7a3310785b968c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49625468164794007,0.572972972972973,0.5318615153035625,925.0,1068,925 +Sit to stand,0.5682451253481894,0.4312896405919662,0.49038461538461536,473.0,359,473 +Stand to sit,0.6086956521739131,0.44025157232704404,0.5109489051094891,477.0,345,477 +Sitting,0.5235602094240838,0.6269592476489029,0.5706134094151213,319.0,382,319 +Stair up,0.5428571428571428,0.6867469879518072,0.6063829787234043,83.0,105,83 +Stair down,0.5411764705882353,0.6216216216216216,0.5786163522012578,74.0,85,74 +Ramp up,0.5875,0.6025641025641025,0.5949367088607594,78.0,80,78 +Ramp down,0.5357142857142857,0.5232558139534884,0.5294117647058824,86.0,84,86 +Grass walking,0.632183908045977,0.6626506024096386,0.6470588235294118,83.0,87,83 +Uneven ground walking,0.5164835164835165,0.573170731707317,0.5433526011560693,82.0,91,82 +Carry,0.5838509316770186,0.562874251497006,0.573170731707317,167.0,161,167 +accuracy,0.5391640323147172,0.5391640323147172,0.5391640323147172,0.5391640323147172,0,0 +macro avg,0.5578656294509365,0.5731234132041698,0.5615216732815356,2847.0,0,0 +weighted avg,0.5460153516926256,0.5391640323147172,0.5369632280537443,2847.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d1120c2b8c080c751c60279aeea16de860632c2 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8602178878931647,0.9004874459670744,0.8798921590653785,10873.0,11382,10873 +Sit to stand,0.7364990689013036,0.6165237724084178,0.6711921934662707,1283.0,1074,1283 +Stand to sit,0.8201107011070111,0.5669642857142857,0.6704374057315233,1568.0,1084,1568 +Sitting,0.8614557485525227,0.9044724272687799,0.8824401609828426,2303.0,2418,2303 +Stair up,0.8289112534309241,0.9123867069486404,0.8686481303930969,993.0,1093,993 +Stair down,0.8598442714126807,0.895712630359212,0.8774120317820658,863.0,899,863 +Ramp up,0.8404040404040404,0.9082969432314411,0.8730325288562435,1374.0,1485,1374 +Ramp down,0.9407692307692308,0.771608832807571,0.8478336221837088,1585.0,1300,1585 +Grass walking,0.9540850776502363,0.9502353732347008,0.9521563342318059,1487.0,1481,1487 +Uneven ground walking,0.9102564102564102,0.9538551401869159,0.9315459212778094,1712.0,1794,1712 +Carry,0.9452027298273785,0.9511209856594627,0.9481526225712272,4951.0,4982,4951 +accuracy,0.8781387969094923,0.8781387969094923,0.8781387969094923,0.8781387969094923,0,0 +macro avg,0.8688869472913548,0.8483331403442275,0.8547948282310884,28992.0,0,0 +weighted avg,0.8773356316254712,0.8781387969094923,0.8754075764336361,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..cce87a51bc08e155fd39c161b2d7c7cdc19190dd --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8979057591623036,0.9309408926417371,0.9141249629848979,9948.0,10314,9948 +Sit to stand,0.820979020979021,0.7246913580246913,0.7698360655737705,810.0,715,810 +Stand to sit,0.918809201623816,0.6223648029330889,0.7420765027322405,1091.0,739,1091 +Sitting,0.924852652259332,0.9490927419354839,0.93681592039801,1984.0,2036,1984 +Stair up,0.8593117408906883,0.932967032967033,0.8946259220231823,910.0,988,910 +Stair down,0.8931203931203932,0.9214195183776933,0.9070492825951342,789.0,814,789 +Ramp up,0.8548042704626334,0.9266975308641975,0.8893002591632728,1296.0,1405,1296 +Ramp down,0.96875,0.7858572381587725,0.8677716390423573,1499.0,1216,1499 +Grass walking,0.9741750358680057,0.9672364672364673,0.9706933523945676,1404.0,1394,1404 +Uneven ground walking,0.9312977099236641,0.9730061349693252,0.9516951695169517,1630.0,1703,1630 +Carry,0.9572702758763741,0.9646739130434783,0.9609578344612181,4784.0,4821,4784 +accuracy,0.9150506789061006,0.9150506789061006,0.9150506789061006,0.9150506789061006,0,0 +macro avg,0.9092069145605663,0.8817225119229062,0.8913588100805095,26145.0,0,0 +weighted avg,0.9159171649042883,0.9150506789061006,0.913366370793072,26145.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..9548001bc389f27a87586fee0e7a3310785b968c --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.3s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49625468164794007,0.572972972972973,0.5318615153035625,925.0,1068,925 +Sit to stand,0.5682451253481894,0.4312896405919662,0.49038461538461536,473.0,359,473 +Stand to sit,0.6086956521739131,0.44025157232704404,0.5109489051094891,477.0,345,477 +Sitting,0.5235602094240838,0.6269592476489029,0.5706134094151213,319.0,382,319 +Stair up,0.5428571428571428,0.6867469879518072,0.6063829787234043,83.0,105,83 +Stair down,0.5411764705882353,0.6216216216216216,0.5786163522012578,74.0,85,74 +Ramp up,0.5875,0.6025641025641025,0.5949367088607594,78.0,80,78 +Ramp down,0.5357142857142857,0.5232558139534884,0.5294117647058824,86.0,84,86 +Grass walking,0.632183908045977,0.6626506024096386,0.6470588235294118,83.0,87,83 +Uneven ground walking,0.5164835164835165,0.573170731707317,0.5433526011560693,82.0,91,82 +Carry,0.5838509316770186,0.562874251497006,0.573170731707317,167.0,161,167 +accuracy,0.5391640323147172,0.5391640323147172,0.5391640323147172,0.5391640323147172,0,0 +macro avg,0.5578656294509365,0.5731234132041698,0.5615216732815356,2847.0,0,0 +weighted avg,0.5460153516926256,0.5391640323147172,0.5369632280537443,2847.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..583291939bb513c011d4873077f66c0ad3a712bc --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9705,25,165,32,172,110,99,81,75,155,268 +Sit to stand,296,780,40,151,0,0,0,0,0,0,0 +Stand to sit,426,100,887,150,0,0,0,0,0,0,3 +Sitting,47,225,19,2026,0,0,0,0,0,0,0 +Stair up,59,0,0,0,905,0,0,7,0,27,0 +Stair down,88,0,0,0,0,783,0,0,0,0,0 +Ramp up,105,0,0,0,2,1,1254,5,0,1,0 +Ramp down,135,0,0,0,0,13,164,1266,0,0,0 +Grass walking,71,0,0,0,0,0,0,0,1411,3,0 +Uneven ground walking,72,0,0,0,0,0,0,0,0,1623,8 +Carry,271,0,0,0,0,0,0,0,0,0,4681 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..76317dd86e0f07fb2467ff1a0f34b477e6462a27 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9191,11,66,26,132,74,61,46,42,112,194 +Sit to stand,145,553,14,77,0,0,0,0,0,0,0 +Stand to sit,304,36,676,69,0,0,0,0,0,0,2 +Sitting,26,123,2,1836,0,0,0,0,0,0,0 +Stair up,33,0,0,0,852,0,0,2,0,22,0 +Stair down,56,0,0,0,0,739,0,0,0,0,0 +Ramp up,75,0,0,0,2,1,1210,5,0,1,0 +Ramp down,98,0,0,0,0,13,163,1220,0,0,0 +Grass walking,44,0,0,0,0,0,0,0,1359,1,0 +Uneven ground walking,35,0,0,0,0,0,0,0,0,1575,8 +Carry,194,0,0,0,0,0,0,0,0,0,4589 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..bf4fc721d920c0269cbcc2b698f936c45b209585 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,514,14,99,6,40,36,38,35,33,43,74 +Sit to stand,151,227,26,74,0,0,0,0,0,0,0 +Stand to sit,122,64,211,81,0,0,0,0,0,0,1 +Sitting,21,102,17,190,0,0,0,0,0,0,0 +Stair up,26,0,0,0,53,0,0,5,0,5,0 +Stair down,32,0,0,0,0,44,0,0,0,0,0 +Ramp up,30,0,0,0,0,0,44,0,0,0,0 +Ramp down,37,0,0,0,0,0,1,46,0,0,0 +Grass walking,27,0,0,0,0,0,0,0,52,2,0 +Uneven ground walking,37,0,0,0,0,0,0,0,0,48,0 +Carry,77,0,0,0,0,0,0,0,0,0,92 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd24cfb191eba23ef178ff2d5819f8eb1eb9feaa --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8607538802660754,0.8914301460457427,0.8758234816352315,10887.0,11275,10887 +Sit to stand,0.6902654867256637,0.6156274664561957,0.6508135168961201,1267.0,1130,1267 +Stand to sit,0.7983798379837984,0.566411238825032,0.6626821068360105,1566.0,1111,1566 +Sitting,0.8588384908859686,0.8744065602071645,0.8665526090675791,2317.0,2359,2317 +Stair up,0.8387395736793327,0.906813627254509,0.8714492055849783,998.0,1079,998 +Stair down,0.8632855567805954,0.8989667049368542,0.8807649043869517,871.0,907,871 +Ramp up,0.8266315095583389,0.9166666666666666,0.8693240901213172,1368.0,1517,1368 +Ramp down,0.9315673289183223,0.8022813688212928,0.8621041879468846,1578.0,1359,1578 +Grass walking,0.949528936742934,0.9501683501683502,0.9498485358465163,1485.0,1486,1485 +Uneven ground walking,0.8971807628524047,0.9530240751614797,0.9242596810933941,1703.0,1809,1703 +Carry,0.94375,0.9452746365105008,0.9445117029862793,4952.0,4960,4952 +accuracy,0.8733788631346578,0.8733788631346578,0.8733788631346578,0.8733788631346578,0,0 +macro avg,0.8599019422175848,0.8473700764594352,0.850739456581933,28992.0,0,0 +weighted avg,0.8722066001173182,0.8733788631346578,0.8710500522064049,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f9064bbfbc94c9740b9f69a310df2e2eda3ff8d1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.900990099009901,0.9232546459065796,0.91198650525898,9955.0,10201,9955 +Sit to stand,0.7648686030428768,0.7008871989860583,0.7314814814814815,789.0,723,789 +Stand to sit,0.8918205804749341,0.6218951241950322,0.7327913279132792,1087.0,758,1087 +Sitting,0.9143426294820717,0.9240060392551586,0.9191489361702128,1987.0,2008,1987 +Stair up,0.8640973630831643,0.9372937293729373,0.8992084432717679,909.0,986,909 +Stair down,0.8935912938331319,0.929559748427673,0.9112207151664612,795.0,827,795 +Ramp up,0.8437935843793585,0.9350850077279753,0.8870967741935484,1294.0,1434,1294 +Ramp down,0.9583660644147682,0.8165997322623829,0.8818214672930972,1494.0,1273,1494 +Grass walking,0.9700214132762313,0.967948717948718,0.9689839572192513,1404.0,1401,1404 +Uneven ground walking,0.9205143191116306,0.9734239802224969,0.9462300991288676,1618.0,1711,1618 +Carry,0.9574379303150428,0.9594396822078194,0.95843776106934,4783.0,4793,4783 +accuracy,0.9113536281830366,0.9113536281830366,0.9113536281830366,0.9113536281830366,0,0 +macro avg,0.8981676254930101,0.8808539642284391,0.8862188607423899,26115.0,0,0 +weighted avg,0.9117101578603604,0.9113536281830366,0.9098856859011559,26115.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f540319574cee24adbcceb259a997b946774585 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.478584729981378,0.5515021459227468,0.5124626121635095,932.0,1074,932 +Sit to stand,0.5577395577395577,0.47489539748953974,0.5129943502824859,478.0,407,478 +Stand to sit,0.5977337110481586,0.4405010438413361,0.5072115384615384,479.0,353,479 +Sitting,0.5413105413105413,0.5757575757575758,0.5580029368575624,330.0,351,330 +Stair up,0.5698924731182796,0.5955056179775281,0.5824175824175825,89.0,93,89 +Stair down,0.55,0.5789473684210527,0.5641025641025641,76.0,80,76 +Ramp up,0.5301204819277109,0.5945945945945946,0.5605095541401274,74.0,83,74 +Ramp down,0.5348837209302325,0.5476190476190477,0.5411764705882353,84.0,86,84 +Grass walking,0.611764705882353,0.6419753086419753,0.6265060240963856,81.0,85,81 +Uneven ground walking,0.4897959183673469,0.5647058823529412,0.5245901639344263,85.0,98,85 +Carry,0.5508982035928144,0.5443786982248521,0.5476190476190477,169.0,167,169 +accuracy,0.5286757038581856,0.5286757038581856,0.5286757038581856,0.5286757038581856,0,0 +macro avg,0.5466112767180339,0.5554893346221083,0.5488720767875876,2877.0,0,0 +weighted avg,0.5347773278206108,0.5286757038581856,0.5281369521147324,2877.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd24cfb191eba23ef178ff2d5819f8eb1eb9feaa --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8607538802660754,0.8914301460457427,0.8758234816352315,10887.0,11275,10887 +Sit to stand,0.6902654867256637,0.6156274664561957,0.6508135168961201,1267.0,1130,1267 +Stand to sit,0.7983798379837984,0.566411238825032,0.6626821068360105,1566.0,1111,1566 +Sitting,0.8588384908859686,0.8744065602071645,0.8665526090675791,2317.0,2359,2317 +Stair up,0.8387395736793327,0.906813627254509,0.8714492055849783,998.0,1079,998 +Stair down,0.8632855567805954,0.8989667049368542,0.8807649043869517,871.0,907,871 +Ramp up,0.8266315095583389,0.9166666666666666,0.8693240901213172,1368.0,1517,1368 +Ramp down,0.9315673289183223,0.8022813688212928,0.8621041879468846,1578.0,1359,1578 +Grass walking,0.949528936742934,0.9501683501683502,0.9498485358465163,1485.0,1486,1485 +Uneven ground walking,0.8971807628524047,0.9530240751614797,0.9242596810933941,1703.0,1809,1703 +Carry,0.94375,0.9452746365105008,0.9445117029862793,4952.0,4960,4952 +accuracy,0.8733788631346578,0.8733788631346578,0.8733788631346578,0.8733788631346578,0,0 +macro avg,0.8599019422175848,0.8473700764594352,0.850739456581933,28992.0,0,0 +weighted avg,0.8722066001173182,0.8733788631346578,0.8710500522064049,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..f9064bbfbc94c9740b9f69a310df2e2eda3ff8d1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.900990099009901,0.9232546459065796,0.91198650525898,9955.0,10201,9955 +Sit to stand,0.7648686030428768,0.7008871989860583,0.7314814814814815,789.0,723,789 +Stand to sit,0.8918205804749341,0.6218951241950322,0.7327913279132792,1087.0,758,1087 +Sitting,0.9143426294820717,0.9240060392551586,0.9191489361702128,1987.0,2008,1987 +Stair up,0.8640973630831643,0.9372937293729373,0.8992084432717679,909.0,986,909 +Stair down,0.8935912938331319,0.929559748427673,0.9112207151664612,795.0,827,795 +Ramp up,0.8437935843793585,0.9350850077279753,0.8870967741935484,1294.0,1434,1294 +Ramp down,0.9583660644147682,0.8165997322623829,0.8818214672930972,1494.0,1273,1494 +Grass walking,0.9700214132762313,0.967948717948718,0.9689839572192513,1404.0,1401,1404 +Uneven ground walking,0.9205143191116306,0.9734239802224969,0.9462300991288676,1618.0,1711,1618 +Carry,0.9574379303150428,0.9594396822078194,0.95843776106934,4783.0,4793,4783 +accuracy,0.9113536281830366,0.9113536281830366,0.9113536281830366,0.9113536281830366,0,0 +macro avg,0.8981676254930101,0.8808539642284391,0.8862188607423899,26115.0,0,0 +weighted avg,0.9117101578603604,0.9113536281830366,0.9098856859011559,26115.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f540319574cee24adbcceb259a997b946774585 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_0.5s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.478584729981378,0.5515021459227468,0.5124626121635095,932.0,1074,932 +Sit to stand,0.5577395577395577,0.47489539748953974,0.5129943502824859,478.0,407,478 +Stand to sit,0.5977337110481586,0.4405010438413361,0.5072115384615384,479.0,353,479 +Sitting,0.5413105413105413,0.5757575757575758,0.5580029368575624,330.0,351,330 +Stair up,0.5698924731182796,0.5955056179775281,0.5824175824175825,89.0,93,89 +Stair down,0.55,0.5789473684210527,0.5641025641025641,76.0,80,76 +Ramp up,0.5301204819277109,0.5945945945945946,0.5605095541401274,74.0,83,74 +Ramp down,0.5348837209302325,0.5476190476190477,0.5411764705882353,84.0,86,84 +Grass walking,0.611764705882353,0.6419753086419753,0.6265060240963856,81.0,85,81 +Uneven ground walking,0.4897959183673469,0.5647058823529412,0.5245901639344263,85.0,98,85 +Carry,0.5508982035928144,0.5443786982248521,0.5476190476190477,169.0,167,169 +accuracy,0.5286757038581856,0.5286757038581856,0.5286757038581856,0.5286757038581856,0,0 +macro avg,0.5466112767180339,0.5554893346221083,0.5488720767875876,2877.0,0,0 +weighted avg,0.5347773278206108,0.5286757038581856,0.5281369521147324,2877.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..dd0f2522a5cc604a11dc0304ac349de1126273ad --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9648,27,125,52,150,99,112,101,111,209,261 +Sit to stand,419,607,27,212,0,0,0,0,0,0,0 +Stand to sit,504,119,635,301,1,0,0,0,0,0,7 +Sitting,134,320,22,1830,0,0,0,0,0,0,2 +Stair up,76,0,0,0,876,0,0,32,0,14,0 +Stair down,97,0,0,0,0,774,0,0,0,0,0 +Ramp up,112,0,0,0,2,0,1246,7,0,1,0 +Ramp down,139,0,0,0,0,6,169,1264,0,0,0 +Grass walking,78,0,0,0,0,0,0,0,1397,11,0 +Uneven ground walking,90,0,0,0,0,0,1,1,0,1603,8 +Carry,303,0,0,0,0,0,0,0,0,0,4650 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7e95a67b1cd1f9b2146cc8427a95531de9a6cc76 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9095,20,59,48,120,63,72,64,75,152,198 +Sit to stand,210,437,8,134,0,0,0,0,0,0,0 +Stand to sit,313,61,500,209,0,0,0,0,0,0,6 +Sitting,64,226,8,1678,0,0,0,0,0,0,1 +Stair up,47,0,0,0,831,0,0,22,0,9,0 +Stair down,61,0,0,0,0,734,0,0,0,0,0 +Ramp up,82,0,0,0,2,0,1202,7,0,1,0 +Ramp down,95,0,0,0,0,6,168,1226,0,0,0 +Grass walking,51,0,0,0,0,0,0,0,1346,7,0 +Uneven ground walking,48,0,0,0,0,0,1,0,0,1561,8 +Carry,225,0,0,0,0,0,0,0,0,0,4558 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..810424056ed10acfbafdd4e6bb4f961557156323 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,553,7,66,4,30,36,40,37,36,57,63 +Sit to stand,209,170,19,78,0,0,0,0,0,0,0 +Stand to sit,191,58,135,92,1,0,0,0,0,0,1 +Sitting,70,94,14,152,0,0,0,0,0,0,1 +Stair up,29,0,0,0,45,0,0,10,0,5,0 +Stair down,36,0,0,0,0,40,0,0,0,0,0 +Ramp up,30,0,0,0,0,0,44,0,0,0,0 +Ramp down,44,0,0,0,0,0,1,38,0,0,0 +Grass walking,27,0,0,0,0,0,0,0,51,4,0 +Uneven ground walking,42,0,0,0,0,0,0,1,0,42,0 +Carry,78,0,0,0,0,0,0,0,0,0,92 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d17b32581b4402b3d239f6150bdbbbb909ee1ca1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8317241379310345,0.8855438274437816,0.8577906201378084,10895.0,11600,10895 +Sit to stand,0.5657036346691519,0.4798418972332016,0.5192472198460223,1265.0,1073,1265 +Stand to sit,0.7849196538936959,0.40523292916400766,0.5345117845117845,1567.0,809,1567 +Sitting,0.7640918580375783,0.792894280762565,0.7782266638315969,2308.0,2395,2308 +Stair up,0.8513119533527697,0.8777555110220441,0.8643315244203256,998.0,1029,998 +Stair down,0.8805460750853242,0.8886337543053962,0.8845714285714286,871.0,879,871 +Ramp up,0.8154450261780105,0.9108187134502924,0.8604972375690608,1368.0,1528,1368 +Ramp down,0.899644128113879,0.8010139416983524,0.8474689909487093,1578.0,1405,1578 +Grass walking,0.9263925729442971,0.9401076716016151,0.9331997327989312,1486.0,1508,1486 +Uneven ground walking,0.8721436343852013,0.9412800939518496,0.9053939565094606,1703.0,1838,1703 +Carry,0.9435876623376623,0.9388249545729861,0.9412002833721284,4953.0,4928,4953 +accuracy,0.8460954746136865,0.8460954746136865,0.8460954746136865,0.8460954746136865,0,0 +macro avg,0.8305009397207822,0.8056315977460083,0.8114944947742959,28992.0,0,0 +weighted avg,0.8436101180239209,0.8460954746136865,0.8407188267365358,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5d921ab01c1c077678f3773ac5653a4b0f25c99 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.883781945389175,0.9126028496889425,0.8979611985980155,9966.0,10291,9966 +Sit to stand,0.5873655913978495,0.5538656527249683,0.5701239399869537,789.0,744,789 +Stand to sit,0.8695652173913043,0.4591368227731864,0.6009615384615384,1089.0,575,1089 +Sitting,0.8110198163363944,0.8487607486090035,0.8294611962432031,1977.0,2069,1977 +Stair up,0.8719832109129066,0.9141914191419142,0.8925886143931256,909.0,953,909 +Stair down,0.9140722291407223,0.9232704402515723,0.918648310387985,795.0,803,795 +Ramp up,0.832986832986833,0.9289026275115919,0.8783339422725612,1294.0,1443,1294 +Ramp down,0.9294920394238059,0.820066889632107,0.8713574982231699,1495.0,1319,1495 +Grass walking,0.9472202674173118,0.9586894586894587,0.9529203539823009,1404.0,1421,1404 +Uneven ground walking,0.9023121387283237,0.9647713226205191,0.9324970131421745,1618.0,1730,1618 +Carry,0.9553552714315657,0.9529583943131925,0.9541553276114716,4783.0,4771,4783 +accuracy,0.8870171139783299,0.8870171139783299,0.8870171139783299,0.8870171139783299,0,0 +macro avg,0.8641049600505629,0.8397469659960415,0.8453644484820455,26119.0,0,0 +weighted avg,0.8870034572105123,0.8870171139783299,0.8838216742157796,26119.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d858030a1aebf18332535c743a62331d1e51b742 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.42245989304812837,0.5952637244348762,0.4941912421805183,929.0,1309,929 +Sit to stand,0.5167173252279635,0.35714285714285715,0.422360248447205,476.0,329,476 +Stand to sit,0.5769230769230769,0.2824267782426778,0.3792134831460674,478.0,234,478 +Sitting,0.4662576687116564,0.459214501510574,0.4627092846270928,331.0,326,331 +Stair up,0.5921052631578947,0.5056179775280899,0.5454545454545454,89.0,76,89 +Stair down,0.5263157894736842,0.5263157894736842,0.5263157894736842,76.0,76,76 +Ramp up,0.5176470588235295,0.5945945945945946,0.5534591194968553,74.0,85,74 +Ramp down,0.4418604651162791,0.4578313253012048,0.44970414201183434,83.0,86,83 +Grass walking,0.5862068965517241,0.6219512195121951,0.6035502958579881,82.0,87,82 +Uneven ground walking,0.3888888888888889,0.49411764705882355,0.43523316062176165,85.0,108,85 +Carry,0.5859872611464968,0.5411764705882353,0.5626911314984709,170.0,157,170 +accuracy,0.47406891750783153,0.47406891750783153,0.47406891750783153,0.47406891750783153,0,0 +macro avg,0.5110335988244838,0.494150262307983,0.4940802220741839,2873.0,0,0 +weighted avg,0.4931929103408832,0.47406891750783153,0.4676429755813115,2873.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..d17b32581b4402b3d239f6150bdbbbb909ee1ca1 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8317241379310345,0.8855438274437816,0.8577906201378084,10895.0,11600,10895 +Sit to stand,0.5657036346691519,0.4798418972332016,0.5192472198460223,1265.0,1073,1265 +Stand to sit,0.7849196538936959,0.40523292916400766,0.5345117845117845,1567.0,809,1567 +Sitting,0.7640918580375783,0.792894280762565,0.7782266638315969,2308.0,2395,2308 +Stair up,0.8513119533527697,0.8777555110220441,0.8643315244203256,998.0,1029,998 +Stair down,0.8805460750853242,0.8886337543053962,0.8845714285714286,871.0,879,871 +Ramp up,0.8154450261780105,0.9108187134502924,0.8604972375690608,1368.0,1528,1368 +Ramp down,0.899644128113879,0.8010139416983524,0.8474689909487093,1578.0,1405,1578 +Grass walking,0.9263925729442971,0.9401076716016151,0.9331997327989312,1486.0,1508,1486 +Uneven ground walking,0.8721436343852013,0.9412800939518496,0.9053939565094606,1703.0,1838,1703 +Carry,0.9435876623376623,0.9388249545729861,0.9412002833721284,4953.0,4928,4953 +accuracy,0.8460954746136865,0.8460954746136865,0.8460954746136865,0.8460954746136865,0,0 +macro avg,0.8305009397207822,0.8056315977460083,0.8114944947742959,28992.0,0,0 +weighted avg,0.8436101180239209,0.8460954746136865,0.8407188267365358,28992.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_steady_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_steady_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5d921ab01c1c077678f3773ac5653a4b0f25c99 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_steady_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.883781945389175,0.9126028496889425,0.8979611985980155,9966.0,10291,9966 +Sit to stand,0.5873655913978495,0.5538656527249683,0.5701239399869537,789.0,744,789 +Stand to sit,0.8695652173913043,0.4591368227731864,0.6009615384615384,1089.0,575,1089 +Sitting,0.8110198163363944,0.8487607486090035,0.8294611962432031,1977.0,2069,1977 +Stair up,0.8719832109129066,0.9141914191419142,0.8925886143931256,909.0,953,909 +Stair down,0.9140722291407223,0.9232704402515723,0.918648310387985,795.0,803,795 +Ramp up,0.832986832986833,0.9289026275115919,0.8783339422725612,1294.0,1443,1294 +Ramp down,0.9294920394238059,0.820066889632107,0.8713574982231699,1495.0,1319,1495 +Grass walking,0.9472202674173118,0.9586894586894587,0.9529203539823009,1404.0,1421,1404 +Uneven ground walking,0.9023121387283237,0.9647713226205191,0.9324970131421745,1618.0,1730,1618 +Carry,0.9553552714315657,0.9529583943131925,0.9541553276114716,4783.0,4771,4783 +accuracy,0.8870171139783299,0.8870171139783299,0.8870171139783299,0.8870171139783299,0,0 +macro avg,0.8641049600505629,0.8397469659960415,0.8453644484820455,26119.0,0,0 +weighted avg,0.8870034572105123,0.8870171139783299,0.8838216742157796,26119.0,0,0 diff --git a/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_transition_epoch_48.csv b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_transition_epoch_48.csv new file mode 100644 index 0000000000000000000000000000000000000000..d858030a1aebf18332535c743a62331d1e51b742 --- /dev/null +++ b/train/revalexo_cross_population/evi_mae_fusion/eval_20260410_114025_Subject05_to_Subject26/test/horizon_1.0s/metrics_report_transition_epoch_48.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.42245989304812837,0.5952637244348762,0.4941912421805183,929.0,1309,929 +Sit to stand,0.5167173252279635,0.35714285714285715,0.422360248447205,476.0,329,476 +Stand to sit,0.5769230769230769,0.2824267782426778,0.3792134831460674,478.0,234,478 +Sitting,0.4662576687116564,0.459214501510574,0.4627092846270928,331.0,326,331 +Stair up,0.5921052631578947,0.5056179775280899,0.5454545454545454,89.0,76,89 +Stair down,0.5263157894736842,0.5263157894736842,0.5263157894736842,76.0,76,76 +Ramp up,0.5176470588235295,0.5945945945945946,0.5534591194968553,74.0,85,74 +Ramp down,0.4418604651162791,0.4578313253012048,0.44970414201183434,83.0,86,83 +Grass walking,0.5862068965517241,0.6219512195121951,0.6035502958579881,82.0,87,82 +Uneven ground walking,0.3888888888888889,0.49411764705882355,0.43523316062176165,85.0,108,85 +Carry,0.5859872611464968,0.5411764705882353,0.5626911314984709,170.0,157,170 +accuracy,0.47406891750783153,0.47406891750783153,0.47406891750783153,0.47406891750783153,0,0 +macro avg,0.5110335988244838,0.494150262307983,0.4940802220741839,2873.0,0,0 +weighted avg,0.4931929103408832,0.47406891750783153,0.4676429755813115,2873.0,0,0 diff --git a/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffd1371f8aa5a98cd00773996989b4e08a8a6688 --- /dev/null +++ b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9243892981775882,0.8353188507358094,0.8775998527517026,2854.0,2579,2854 +Sit to stand,0.39779005524861877,0.7632508833922261,0.5230024213075061,283.0,543,283 +Stand to sit,0.7235023041474654,0.4243243243243243,0.534923339011925,370.0,217,370 +Sitting,0.8397058823529412,0.9020537124802528,0.8697638994668697,633.0,680,633 +Stair up,0.748730964467005,0.9866220735785953,0.8513708513708513,299.0,394,299 +Stair down,0.9657534246575342,0.8757763975155279,0.9185667752442996,161.0,146,161 +Ramp up,0.9653679653679653,0.9802197802197802,0.9727371864776445,455.0,462,455 +Ramp down,0.9901477832512315,0.9327146171693735,0.9605734767025089,431.0,406,431 +Grass walking,0.9411764705882353,0.9721518987341772,0.9564134495641345,395.0,408,395 +Uneven ground walking,0.9320754716981132,0.9762845849802372,0.9536679536679536,253.0,265,253 +Carry,0.8944153577661431,0.9217625899280576,0.9078830823737821,1112.0,1146,1112 +accuracy,0.8650289815070383,0.8650289815070383,0.8650289815070383,0.8650289815070383,0,0 +macro avg,0.8475504525202582,0.8700436102780329,0.8478638443581071,7246.0,0,0 +weighted avg,0.882905599686075,0.8650289815070383,0.8679051704272869,7246.0,0,0 diff --git a/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..27ba2db7a89c6c97a8a984593af0712e47d96a43 --- /dev/null +++ b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2553,217,110,70,104,6,13,6,38,21,123 +Sit to stand,33,422,41,93,0,0,0,0,0,0,0 +Stand to sit,81,313,269,37,0,0,0,0,0,0,0 +Sitting,24,151,57,599,0,0,0,0,0,0,0 +Stair up,9,0,0,0,339,0,1,5,0,0,0 +Stair down,41,0,0,0,0,151,1,0,0,0,0 +Ramp up,36,0,0,0,0,0,468,0,0,0,0 +Ramp down,37,0,0,0,8,0,6,421,0,0,0 +Grass walking,22,0,0,0,0,0,0,0,415,3,0 +Uneven ground walking,17,0,0,0,0,0,0,0,2,277,0 +Carry,106,0,0,1,0,0,0,0,3,0,1050 diff --git a/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1ccf978c4c432730606a0205797d17daf9d8b001 --- /dev/null +++ b/train/revalexo_cross_population/frozen/mvit_linear_probe/20260409_041741_RevalExoDataset_video_MViT_Video/val/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49693251533742333,0.3793911007025761,0.4302788844621514,427.0,326,427 +Sit to stand,0.3697996918335901,0.7430340557275542,0.49382716049382713,323.0,649,323 +Stand to sit,0.4824120603015075,0.2874251497005988,0.3602251407129456,334.0,199,334 +Sitting,0.34146341463414637,0.20388349514563106,0.2553191489361702,206.0,123,206 +Stair up,0.6206896551724138,0.8,0.6990291262135923,45.0,58,45 +Stair down,0.5555555555555556,0.18518518518518517,0.2777777777777778,27.0,9,27 +Ramp up,0.7142857142857143,0.45454545454545453,0.5555555555555556,44.0,28,44 +Ramp down,0.75,0.43902439024390244,0.5538461538461539,41.0,24,41 +Grass walking,0.6363636363636364,0.6829268292682927,0.6588235294117647,41.0,44,41 +Uneven ground walking,0.6285714285714286,0.7333333333333333,0.676923076923077,30.0,35,30 +Carry,0.5606060606060606,0.8604651162790697,0.6788990825688074,43.0,66,43 +accuracy,0.45227418321588725,0.45227418321588725,0.45227418321588725,0.45227418321588725,0,0 +macro avg,0.5596981575146797,0.5244740100119635,0.5127731488092566,1561.0,0,0 +weighted avg,0.47230384018712984,0.45227418321588725,0.4348281634718779,1561.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/config.yaml b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..76988f5062088a213abda47a97a24d1759118cb9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/config.yaml @@ -0,0 +1,159 @@ +__config_file__: train/configs/train/revalexo_cross_population/resnet18.yaml +dataloaders: + test: + batch_size: 64 + num_workers: 16 + pin_memory: true + shuffle: false + train: + balancing_method: inverse + batch_size: 64 + num_workers: 16 + pin_memory: true + prefetch_factor: 2 + shuffle: true + use_balanced_sampler: true + validation: + batch_size: 64 + num_workers: 16 + pin_memory: true + shuffle: false +dataset: + config_path: train/configs/datasets/revalexodataset.yaml + name: RevalExoDataset + prediction_horizons: + - 0 + - 0.1 + - 0.2 + - 0.3 + - 0.5 + - 1 + sample_multiplier: + test: 10 + train: 10 + validation: 10 + splits: + test_subjects: + - Subject05 + - Subject06 + - Subject07 + - Subject08 + - Subject17 + - Subject26 + train_subjects: + - Subject01 + - Subject02 + - Subject03 + - Subject11 + - Subject20 + - Subject24 + - Subject29 + val_split_ratio: 0.2 + window_size: 2.0 +logging: + log_dir: train/outputs/train/revalexo_cross_population/resnet18 + log_frequency: 50 + tensorboard: true +metrics: +- name: Accuracy +- name: F1Score + params: + average: macro + include_precision_recall: true +- name: ClassificationReport + params: + include_csv: true + output_format: dict + zero_division: 0 +- name: ConfusionMatrix + params: + include_csv: true + normalize: false +modalities: + image: + eval_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeImage + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ResizeImage + params: + size: 256 + - name: CenterCropImage + params: + size: 224 + train_transforms: + - name: DivideBy255 + params: {} + - name: NormalizeImage + params: + mean: + - 0.485 + - 0.456 + - 0.406 + std: + - 0.229 + - 0.224 + - 0.225 + - name: ResizeImage + params: + size: 256 + - name: RandomResizedCropImage + params: + ratio: + - 0.75 + - 1.33 + scale: + - 0.8 + - 1.0 + size: 224 + - name: RandomHorizontalFlipImage + params: + p: 0.5 + use_end_frame: true + use_frames: false +models: + image_model: + name: ResNet18_Image + params: + freeze_backbone: false + freeze_early_layers: false + pretrained: true +task: + loss: + name: CrossEntropyLoss + params: + label_smoothing: 0.1 + type: recognition +training: + checkpointing: + enabled: true + frequency: 1 + horizon_index: 0 + metric: classificationreport_weighted_f1-score + mode: max + save_best_only: false + early_stopping: + enabled: true + min_delta: 0.001 + patience: 10 + epochs: 50 + lr_scheduler: + name: CosineAnnealingLR + params: + eta_min: 1.0e-06 + optimizer: + name: Adam + params: + lr: 0.0002 + weight_decay: 0.0001 + seed: 42 + val_every: 1 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/history.log b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/history.log new file mode 100644 index 0000000000000000000000000000000000000000..84b096a92ccbba6375b3f5930833f558f934b59e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/history.log @@ -0,0 +1,7188 @@ +2026-04-09 02:07:15,873 - INFO - Starting new training run: 20260409_020715_RevalExoDataset_image_ResNet18_Image +2026-04-09 02:07:15,873 - INFO - Logs will be saved to: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image +2026-04-09 02:07:15,874 - INFO - TensorBoard logs will be saved to: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image +2026-04-09 02:07:15,879 - INFO - Configuration saved to: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/config.yaml +2026-04-09 02:07:17,859 - INFO - Loaded 10960 training samples +2026-04-09 02:07:17,859 - INFO - Loaded 8800 validation samples +2026-04-09 02:07:17,859 - INFO - Loaded 28992 test samples +2026-04-09 02:07:17,859 - INFO - Random seed: 42 +2026-04-09 02:07:29,733 - INFO - Epoch 1/50, Learning Rate: 0.000200 +2026-04-09 02:08:45,357 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:08:45,482 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:08:45,552 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:08:45,626 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:08:45,692 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:08:45,763 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:08:48,009 - INFO - Epoch 1/50: +2026-04-09 02:08:48,010 - INFO - Train: loss=1.2665, accuracy_overall=0.6776 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s: accuracy=0.6891 +2026-04-09 02:08:48,010 - INFO - Horizon 0.1s: accuracy=0.6914 +2026-04-09 02:08:48,010 - INFO - Horizon 0.2s: accuracy=0.6980 +2026-04-09 02:08:48,010 - INFO - Horizon 0.3s: accuracy=0.6923 +2026-04-09 02:08:48,010 - INFO - Horizon 0.5s: accuracy=0.6763 +2026-04-09 02:08:48,010 - INFO - Horizon 1.0s: accuracy=0.6187 +2026-04-09 02:08:48,010 - INFO - Val Horizon 0.0s - Overall: loss=1.0065, accuracy=0.7458 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Overall F1: 0.7428, Precision: 0.7600, Recall: 0.7902 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:08:48,010 - INFO - Macro F1: 0.7428 +2026-04-09 02:08:48,010 - INFO - Weighted F1: 0.7405 +2026-04-09 02:08:48,010 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8181 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Steady F1: 0.7813, Precision: 0.7952, Recall: 0.8237 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:08:48,010 - INFO - Macro F1: 0.7813 +2026-04-09 02:08:48,010 - INFO - Weighted F1: 0.8167 +2026-04-09 02:08:48,010 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4123 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Transition F1: 0.4881, Precision: 0.5009, Recall: 0.5828 +2026-04-09 02:08:48,010 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:08:48,011 - INFO - Macro F1: 0.4881 +2026-04-09 02:08:48,011 - INFO - Weighted F1: 0.3547 +2026-04-09 02:08:48,011 - INFO - +2026-04-09 02:08:48,011 - INFO - Val Horizon 0.1s - Overall: accuracy=0.7557 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Overall F1: 0.7635, Precision: 0.7628, Recall: 0.7984 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:08:48,011 - INFO - Macro F1: 0.7635 +2026-04-09 02:08:48,011 - INFO - Weighted F1: 0.7574 +2026-04-09 02:08:48,011 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8276 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Steady F1: 0.8053, Precision: 0.7984, Recall: 0.8360 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:08:48,011 - INFO - Macro F1: 0.8053 +2026-04-09 02:08:48,011 - INFO - Weighted F1: 0.8301 +2026-04-09 02:08:48,011 - INFO - Val Horizon 0.1s - Transition: accuracy=0.4288 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Transition F1: 0.5144, Precision: 0.5085, Recall: 0.6043 +2026-04-09 02:08:48,011 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:08:48,011 - INFO - Macro F1: 0.5144 +2026-04-09 02:08:48,011 - INFO - Weighted F1: 0.3979 +2026-04-09 02:08:48,011 - INFO - +2026-04-09 02:08:48,011 - INFO - Val Horizon 0.2s - Overall: accuracy=0.7702 +2026-04-09 02:08:48,011 - INFO - Horizon 0.2s - Overall F1: 0.7827, Precision: 0.7818, Recall: 0.8024 +2026-04-09 02:08:48,011 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:08:48,011 - INFO - Macro F1: 0.7827 +2026-04-09 02:08:48,011 - INFO - Weighted F1: 0.7696 +2026-04-09 02:08:48,011 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8358 +2026-04-09 02:08:48,011 - INFO - Horizon 0.2s - Steady F1: 0.8257, Precision: 0.8212, Recall: 0.8440 +2026-04-09 02:08:48,012 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.8257 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.8374 +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.2s - Transition: accuracy=0.4646 +2026-04-09 02:08:48,012 - INFO - Horizon 0.2s - Transition F1: 0.5569, Precision: 0.5416, Recall: 0.6321 +2026-04-09 02:08:48,012 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.5569 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.4459 +2026-04-09 02:08:48,012 - INFO - +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.3s - Overall: accuracy=0.7767 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Overall F1: 0.7903, Precision: 0.7884, Recall: 0.8088 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.7903 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.7756 +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8441 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Steady F1: 0.8356, Precision: 0.8308, Recall: 0.8544 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.8356 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.8445 +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.3s - Transition: accuracy=0.4704 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Transition F1: 0.5694, Precision: 0.5454, Recall: 0.6424 +2026-04-09 02:08:48,012 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.5694 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.4532 +2026-04-09 02:08:48,012 - INFO - +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.5s - Overall: accuracy=0.7765 +2026-04-09 02:08:48,012 - INFO - Horizon 0.5s - Overall F1: 0.7964, Precision: 0.8033, Recall: 0.8000 +2026-04-09 02:08:48,012 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:08:48,012 - INFO - Macro F1: 0.7964 +2026-04-09 02:08:48,012 - INFO - Weighted F1: 0.7764 +2026-04-09 02:08:48,012 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8467 +2026-04-09 02:08:48,013 - INFO - Horizon 0.5s - Steady F1: 0.8443, Precision: 0.8457, Recall: 0.8514 +2026-04-09 02:08:48,013 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:08:48,013 - INFO - Macro F1: 0.8443 +2026-04-09 02:08:48,013 - INFO - Weighted F1: 0.8463 +2026-04-09 02:08:48,013 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4510 +2026-04-09 02:08:48,013 - INFO - Horizon 0.5s - Transition F1: 0.5364, Precision: 0.5491, Recall: 0.5621 +2026-04-09 02:08:48,013 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:08:48,013 - INFO - Macro F1: 0.5364 +2026-04-09 02:08:48,013 - INFO - Weighted F1: 0.4419 +2026-04-09 02:08:48,013 - INFO - +2026-04-09 02:08:48,013 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7440 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Overall F1: 0.7651, Precision: 0.7858, Recall: 0.7568 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:08:48,013 - INFO - Macro F1: 0.7651 +2026-04-09 02:08:48,013 - INFO - Weighted F1: 0.7460 +2026-04-09 02:08:48,013 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8176 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Steady F1: 0.8106, Precision: 0.8238, Recall: 0.8066 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:08:48,013 - INFO - Macro F1: 0.8106 +2026-04-09 02:08:48,013 - INFO - Weighted F1: 0.8191 +2026-04-09 02:08:48,013 - INFO - Val Horizon 1.0s - Transition: accuracy=0.3962 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Transition F1: 0.4530, Precision: 0.4919, Recall: 0.4504 +2026-04-09 02:08:48,013 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:08:48,013 - INFO - Macro F1: 0.4530 +2026-04-09 02:08:48,013 - INFO - Weighted F1: 0.3818 +2026-04-09 02:08:48,229 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_1.pt +2026-04-09 02:08:48,233 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_1.csv +2026-04-09 02:08:48,234 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:08:48,234 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:08:48,235 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_1.csv +2026-04-09 02:08:48,236 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:08:48,236 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:08:48,237 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_1.csv +2026-04-09 02:08:48,238 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:08:48,238 - INFO - Saved best transition horizon 0.0s confusion matrix: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_1.csv +2026-04-09 02:08:48,242 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:08:48,242 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:08:48,243 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_1.csv +2026-04-09 02:08:48,244 - INFO - Saved best transition horizon 0.1s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:08:48,247 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_1.csv +2026-04-09 02:08:48,248 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:08:48,248 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:08:48,249 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_1.csv +2026-04-09 02:08:48,249 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:08:48,250 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:08:48,251 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_1.csv +2026-04-09 02:08:48,251 - INFO - Saved best overall horizon 0.3s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:08:48,254 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_1.csv +2026-04-09 02:08:48,255 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:08:48,255 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:08:48,256 - INFO - Saved overall horizon 0.5s metrics report: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_1.csv +2026-04-09 02:08:48,264 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:08:48,265 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:08:48,266 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_1.csv +2026-04-09 02:08:48,266 - INFO - Saved best transition horizon 1.0s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:08:48,581 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:08:48,582 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:08:48,584 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:08:48,585 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:08:48,586 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:08:48,586 - INFO - Epoch 2/50, Learning Rate: 0.000200 +2026-04-09 02:09:54,151 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:09:54,214 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:09:54,273 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:09:54,330 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:09:54,391 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:09:54,452 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:09:56,467 - INFO - Epoch 2/50: +2026-04-09 02:09:56,469 - INFO - Train: loss=0.9053, accuracy_overall=0.8327 +2026-04-09 02:09:56,470 - INFO - Horizon 0.0s: accuracy=0.8331 +2026-04-09 02:09:56,470 - INFO - Horizon 0.1s: accuracy=0.8434 +2026-04-09 02:09:56,471 - INFO - Horizon 0.2s: accuracy=0.8533 +2026-04-09 02:09:56,472 - INFO - Horizon 0.3s: accuracy=0.8501 +2026-04-09 02:09:56,473 - INFO - Horizon 0.5s: accuracy=0.8483 +2026-04-09 02:09:56,474 - INFO - Horizon 1.0s: accuracy=0.7677 +2026-04-09 02:09:56,475 - INFO - Val Horizon 0.0s - Overall: loss=1.0099, accuracy=0.7651 +2026-04-09 02:09:56,475 - INFO - Horizon 0.0s - Overall F1: 0.7608, Precision: 0.7649, Recall: 0.7773 +2026-04-09 02:09:56,476 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:09:56,477 - INFO - Macro F1: 0.7608 +2026-04-09 02:09:56,478 - INFO - Weighted F1: 0.7610 +2026-04-09 02:09:56,478 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8335 +2026-04-09 02:09:56,479 - INFO - Horizon 0.0s - Steady F1: 0.8037, Precision: 0.8044, Recall: 0.8200 +2026-04-09 02:09:56,479 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:09:56,480 - INFO - Macro F1: 0.8037 +2026-04-09 02:09:56,481 - INFO - Weighted F1: 0.8343 +2026-04-09 02:09:56,481 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4493 +2026-04-09 02:09:56,482 - INFO - Horizon 0.0s - Transition F1: 0.4968, Precision: 0.5007, Recall: 0.5401 +2026-04-09 02:09:56,483 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:09:56,483 - INFO - Macro F1: 0.4968 +2026-04-09 02:09:56,484 - INFO - Weighted F1: 0.4261 +2026-04-09 02:09:56,485 - INFO - +2026-04-09 02:09:56,486 - INFO - Val Horizon 0.1s - Overall: accuracy=0.7764 +2026-04-09 02:09:56,486 - INFO - Horizon 0.1s - Overall F1: 0.7769, Precision: 0.7826, Recall: 0.7922 +2026-04-09 02:09:56,487 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:09:56,488 - INFO - Macro F1: 0.7769 +2026-04-09 02:09:56,489 - INFO - Weighted F1: 0.7725 +2026-04-09 02:09:56,490 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8461 +2026-04-09 02:09:56,491 - INFO - Horizon 0.1s - Steady F1: 0.8240, Precision: 0.8252, Recall: 0.8410 +2026-04-09 02:09:56,491 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:09:56,491 - INFO - Macro F1: 0.8240 +2026-04-09 02:09:56,491 - INFO - Weighted F1: 0.8463 +2026-04-09 02:09:56,491 - INFO - Val Horizon 0.1s - Transition: accuracy=0.4590 +2026-04-09 02:09:56,491 - INFO - Horizon 0.1s - Transition F1: 0.5092, Precision: 0.5144, Recall: 0.5571 +2026-04-09 02:09:56,491 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:09:56,491 - INFO - Macro F1: 0.5092 +2026-04-09 02:09:56,491 - INFO - Weighted F1: 0.4347 +2026-04-09 02:09:56,491 - INFO - +2026-04-09 02:09:56,491 - INFO - Val Horizon 0.2s - Overall: accuracy=0.7773 +2026-04-09 02:09:56,491 - INFO - Horizon 0.2s - Overall F1: 0.7813, Precision: 0.7915, Recall: 0.7954 +2026-04-09 02:09:56,491 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:09:56,491 - INFO - Macro F1: 0.7813 +2026-04-09 02:09:56,491 - INFO - Weighted F1: 0.7714 +2026-04-09 02:09:56,491 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8425 +2026-04-09 02:09:56,491 - INFO - Horizon 0.2s - Steady F1: 0.8242, Precision: 0.8285, Recall: 0.8397 +2026-04-09 02:09:56,491 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:09:56,491 - INFO - Macro F1: 0.8242 +2026-04-09 02:09:56,491 - INFO - Weighted F1: 0.8413 +2026-04-09 02:09:56,491 - INFO - Val Horizon 0.2s - Transition: accuracy=0.4730 +2026-04-09 02:09:56,492 - INFO - Horizon 0.2s - Transition F1: 0.5298, Precision: 0.5528, Recall: 0.5761 +2026-04-09 02:09:56,492 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:09:56,492 - INFO - Macro F1: 0.5298 +2026-04-09 02:09:56,492 - INFO - Weighted F1: 0.4458 +2026-04-09 02:09:56,492 - INFO - +2026-04-09 02:09:56,492 - INFO - Val Horizon 0.3s - Overall: accuracy=0.7767 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Overall F1: 0.7857, Precision: 0.7885, Recall: 0.8010 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:09:56,492 - INFO - Macro F1: 0.7857 +2026-04-09 02:09:56,492 - INFO - Weighted F1: 0.7732 +2026-04-09 02:09:56,492 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8443 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Steady F1: 0.8282, Precision: 0.8245, Recall: 0.8479 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:09:56,492 - INFO - Macro F1: 0.8282 +2026-04-09 02:09:56,492 - INFO - Weighted F1: 0.8441 +2026-04-09 02:09:56,492 - INFO - Val Horizon 0.3s - Transition: accuracy=0.4691 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Transition F1: 0.5317, Precision: 0.5533, Recall: 0.5728 +2026-04-09 02:09:56,492 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:09:56,492 - INFO - Macro F1: 0.5317 +2026-04-09 02:09:56,492 - INFO - Weighted F1: 0.4469 +2026-04-09 02:09:56,492 - INFO - +2026-04-09 02:09:56,492 - INFO - Val Horizon 0.5s - Overall: accuracy=0.7766 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Overall F1: 0.7899, Precision: 0.8026, Recall: 0.7962 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:09:56,493 - INFO - Macro F1: 0.7899 +2026-04-09 02:09:56,493 - INFO - Weighted F1: 0.7712 +2026-04-09 02:09:56,493 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8475 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Steady F1: 0.8366, Precision: 0.8361, Recall: 0.8522 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:09:56,493 - INFO - Macro F1: 0.8366 +2026-04-09 02:09:56,493 - INFO - Weighted F1: 0.8470 +2026-04-09 02:09:56,493 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4478 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Transition F1: 0.4967, Precision: 0.5460, Recall: 0.5202 +2026-04-09 02:09:56,493 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:09:56,493 - INFO - Macro F1: 0.4967 +2026-04-09 02:09:56,493 - INFO - Weighted F1: 0.4247 +2026-04-09 02:09:56,493 - INFO - +2026-04-09 02:09:56,493 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7582 +2026-04-09 02:09:56,493 - INFO - Horizon 1.0s - Overall F1: 0.7807, Precision: 0.7865, Recall: 0.7838 +2026-04-09 02:09:56,493 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:09:56,493 - INFO - Macro F1: 0.7807 +2026-04-09 02:09:56,493 - INFO - Weighted F1: 0.7570 +2026-04-09 02:09:56,493 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8389 +2026-04-09 02:09:56,493 - INFO - Horizon 1.0s - Steady F1: 0.8292, Precision: 0.8274, Recall: 0.8400 +2026-04-09 02:09:56,493 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:09:56,493 - INFO - Macro F1: 0.8292 +2026-04-09 02:09:56,493 - INFO - Weighted F1: 0.8401 +2026-04-09 02:09:56,493 - INFO - Val Horizon 1.0s - Transition: accuracy=0.3767 +2026-04-09 02:09:56,493 - INFO - Horizon 1.0s - Transition F1: 0.4734, Precision: 0.5104, Recall: 0.4729 +2026-04-09 02:09:56,494 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:09:56,494 - INFO - Macro F1: 0.4734 +2026-04-09 02:09:56,494 - INFO - Weighted F1: 0.3697 +2026-04-09 02:09:56,914 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_2.pt +2026-04-09 02:09:56,917 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,918 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:09:56,918 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,919 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,920 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:09:56,921 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,921 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,922 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:09:56,923 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,924 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,924 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:09:56,925 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,926 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,926 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:09:56,927 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,928 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,928 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:09:56,929 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,930 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,930 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:09:56,931 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,932 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,932 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:09:56,933 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,934 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,934 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:09:56,935 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,936 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,937 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:09:56,937 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,938 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,939 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:09:56,939 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,940 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,941 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:09:56,941 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,942 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,943 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:09:56,943 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,944 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,945 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:09:56,945 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,946 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,947 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:09:56,947 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,948 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_2.csv +2026-04-09 02:09:56,949 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:09:56,949 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:09:56,950 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_2.csv +2026-04-09 02:09:56,951 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:09:56,952 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:09:56,952 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_2.csv +2026-04-09 02:09:56,953 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:09:56,954 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:09:56,958 - INFO - Removed old checkpoint: checkpoint_epoch_1.pt +2026-04-09 02:09:57,243 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:09:57,263 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:09:57,431 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:09:57,432 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:09:57,434 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:09:57,435 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:09:57,436 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:09:57,437 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:09:57,438 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:09:57,438 - INFO - Epoch 3/50, Learning Rate: 0.000199 +2026-04-09 02:10:59,748 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:10:59,821 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:10:59,889 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:10:59,957 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:11:00,023 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:11:00,092 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:11:02,168 - INFO - Epoch 3/50: +2026-04-09 02:11:02,168 - INFO - Train: loss=0.8594, accuracy_overall=0.8510 +2026-04-09 02:11:02,168 - INFO - Horizon 0.0s: accuracy=0.8571 +2026-04-09 02:11:02,169 - INFO - Horizon 0.1s: accuracy=0.8688 +2026-04-09 02:11:02,169 - INFO - Horizon 0.2s: accuracy=0.8655 +2026-04-09 02:11:02,169 - INFO - Horizon 0.3s: accuracy=0.8638 +2026-04-09 02:11:02,169 - INFO - Horizon 0.5s: accuracy=0.8563 +2026-04-09 02:11:02,169 - INFO - Horizon 1.0s: accuracy=0.7947 +2026-04-09 02:11:02,169 - INFO - Val Horizon 0.0s - Overall: loss=0.9015, accuracy=0.8093 +2026-04-09 02:11:02,169 - INFO - Horizon 0.0s - Overall F1: 0.8041, Precision: 0.8066, Recall: 0.8266 +2026-04-09 02:11:02,169 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:11:02,169 - INFO - Macro F1: 0.8041 +2026-04-09 02:11:02,169 - INFO - Weighted F1: 0.8092 +2026-04-09 02:11:02,169 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8811 +2026-04-09 02:11:02,169 - INFO - Horizon 0.0s - Steady F1: 0.8520, Precision: 0.8491, Recall: 0.8756 +2026-04-09 02:11:02,170 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:11:02,170 - INFO - Macro F1: 0.8520 +2026-04-09 02:11:02,170 - INFO - Weighted F1: 0.8832 +2026-04-09 02:11:02,170 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4780 +2026-04-09 02:11:02,170 - INFO - Horizon 0.0s - Transition F1: 0.5391, Precision: 0.5424, Recall: 0.5752 +2026-04-09 02:11:02,170 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:11:02,170 - INFO - Macro F1: 0.5391 +2026-04-09 02:11:02,170 - INFO - Weighted F1: 0.4575 +2026-04-09 02:11:02,170 - INFO - +2026-04-09 02:11:02,170 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8094 +2026-04-09 02:11:02,170 - INFO - Horizon 0.1s - Overall F1: 0.8043, Precision: 0.8153, Recall: 0.8280 +2026-04-09 02:11:02,170 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:11:02,170 - INFO - Macro F1: 0.8043 +2026-04-09 02:11:02,171 - INFO - Weighted F1: 0.8093 +2026-04-09 02:11:02,171 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8787 +2026-04-09 02:11:02,171 - INFO - Horizon 0.1s - Steady F1: 0.8498, Precision: 0.8522, Recall: 0.8757 +2026-04-09 02:11:02,171 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:11:02,171 - INFO - Macro F1: 0.8498 +2026-04-09 02:11:02,171 - INFO - Weighted F1: 0.8825 +2026-04-09 02:11:02,171 - INFO - Val Horizon 0.1s - Transition: accuracy=0.4943 +2026-04-09 02:11:02,171 - INFO - Horizon 0.1s - Transition F1: 0.5382, Precision: 0.5579, Recall: 0.5861 +2026-04-09 02:11:02,171 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:11:02,171 - INFO - Macro F1: 0.5382 +2026-04-09 02:11:02,171 - INFO - Weighted F1: 0.4600 +2026-04-09 02:11:02,171 - INFO - +2026-04-09 02:11:02,171 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8184 +2026-04-09 02:11:02,171 - INFO - Horizon 0.2s - Overall F1: 0.8196, Precision: 0.8282, Recall: 0.8385 +2026-04-09 02:11:02,171 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:11:02,172 - INFO - Macro F1: 0.8196 +2026-04-09 02:11:02,172 - INFO - Weighted F1: 0.8173 +2026-04-09 02:11:02,172 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8820 +2026-04-09 02:11:02,172 - INFO - Horizon 0.2s - Steady F1: 0.8630, Precision: 0.8619, Recall: 0.8859 +2026-04-09 02:11:02,172 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:11:02,172 - INFO - Macro F1: 0.8630 +2026-04-09 02:11:02,172 - INFO - Weighted F1: 0.8853 +2026-04-09 02:11:02,172 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5219 +2026-04-09 02:11:02,172 - INFO - Horizon 0.2s - Transition F1: 0.5677, Precision: 0.5866, Recall: 0.6077 +2026-04-09 02:11:02,172 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:11:02,172 - INFO - Macro F1: 0.5677 +2026-04-09 02:11:02,172 - INFO - Weighted F1: 0.4857 +2026-04-09 02:11:02,172 - INFO - +2026-04-09 02:11:02,172 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8197 +2026-04-09 02:11:02,172 - INFO - Horizon 0.3s - Overall F1: 0.8251, Precision: 0.8370, Recall: 0.8408 +2026-04-09 02:11:02,172 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:11:02,172 - INFO - Macro F1: 0.8251 +2026-04-09 02:11:02,172 - INFO - Weighted F1: 0.8186 +2026-04-09 02:11:02,172 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8848 +2026-04-09 02:11:02,173 - INFO - Horizon 0.3s - Steady F1: 0.8682, Precision: 0.8684, Recall: 0.8889 +2026-04-09 02:11:02,173 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:11:02,173 - INFO - Macro F1: 0.8682 +2026-04-09 02:11:02,173 - INFO - Weighted F1: 0.8872 +2026-04-09 02:11:02,173 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5233 +2026-04-09 02:11:02,173 - INFO - Horizon 0.3s - Transition F1: 0.5703, Precision: 0.5952, Recall: 0.6058 +2026-04-09 02:11:02,173 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:11:02,173 - INFO - Macro F1: 0.5703 +2026-04-09 02:11:02,173 - INFO - Weighted F1: 0.4875 +2026-04-09 02:11:02,173 - INFO - +2026-04-09 02:11:02,173 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8237 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Overall F1: 0.8384, Precision: 0.8465, Recall: 0.8466 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:11:02,173 - INFO - Macro F1: 0.8384 +2026-04-09 02:11:02,173 - INFO - Weighted F1: 0.8240 +2026-04-09 02:11:02,173 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8870 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Steady F1: 0.8804, Precision: 0.8751, Recall: 0.8997 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:11:02,173 - INFO - Macro F1: 0.8804 +2026-04-09 02:11:02,173 - INFO - Weighted F1: 0.8890 +2026-04-09 02:11:02,173 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5304 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Transition F1: 0.5514, Precision: 0.5893, Recall: 0.5525 +2026-04-09 02:11:02,173 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:11:02,173 - INFO - Macro F1: 0.5514 +2026-04-09 02:11:02,174 - INFO - Weighted F1: 0.5078 +2026-04-09 02:11:02,174 - INFO - +2026-04-09 02:11:02,174 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7788 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Overall F1: 0.7903, Precision: 0.8054, Recall: 0.7895 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:11:02,174 - INFO - Macro F1: 0.7903 +2026-04-09 02:11:02,174 - INFO - Weighted F1: 0.7756 +2026-04-09 02:11:02,174 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8474 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Steady F1: 0.8309, Precision: 0.8327, Recall: 0.8378 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:11:02,174 - INFO - Macro F1: 0.8309 +2026-04-09 02:11:02,174 - INFO - Weighted F1: 0.8475 +2026-04-09 02:11:02,174 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4541 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Transition F1: 0.5150, Precision: 0.5631, Recall: 0.5012 +2026-04-09 02:11:02,174 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:11:02,174 - INFO - Macro F1: 0.5150 +2026-04-09 02:11:02,174 - INFO - Weighted F1: 0.4274 +2026-04-09 02:11:02,452 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_3.pt +2026-04-09 02:11:02,455 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,459 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:11:02,460 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,461 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,462 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:11:02,463 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,463 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,464 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:11:02,465 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,466 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,466 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:11:02,467 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,468 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,469 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:11:02,469 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,470 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,471 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:11:02,471 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,472 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,473 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:11:02,474 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,474 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,475 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:11:02,476 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,477 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,477 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:11:02,478 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,479 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,480 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:11:02,480 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,481 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,482 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:11:02,482 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,483 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,484 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:11:02,485 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,485 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,486 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:11:02,487 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,488 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,488 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:11:02,489 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,490 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,491 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:11:02,491 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,492 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_3.csv +2026-04-09 02:11:02,493 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:11:02,493 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:11:02,494 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_3.csv +2026-04-09 02:11:02,495 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:11:02,496 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:11:02,496 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_3.csv +2026-04-09 02:11:02,497 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:11:02,498 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:11:02,511 - INFO - Removed old checkpoint: checkpoint_epoch_2.pt +2026-04-09 02:11:02,874 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:11:02,892 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:11:03,030 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:11:03,032 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:11:03,033 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:11:03,034 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:11:03,035 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:11:03,036 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:11:03,037 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:11:03,037 - INFO - Epoch 4/50, Learning Rate: 0.000198 +2026-04-09 02:11:59,265 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:11:59,328 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:11:59,384 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:11:59,440 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:11:59,494 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:11:59,551 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:12:01,759 - INFO - Epoch 4/50: +2026-04-09 02:12:01,759 - INFO - Train: loss=0.8462, accuracy_overall=0.8535 +2026-04-09 02:12:01,759 - INFO - Horizon 0.0s: accuracy=0.8600 +2026-04-09 02:12:01,759 - INFO - Horizon 0.1s: accuracy=0.8661 +2026-04-09 02:12:01,759 - INFO - Horizon 0.2s: accuracy=0.8697 +2026-04-09 02:12:01,759 - INFO - Horizon 0.3s: accuracy=0.8662 +2026-04-09 02:12:01,759 - INFO - Horizon 0.5s: accuracy=0.8596 +2026-04-09 02:12:01,759 - INFO - Horizon 1.0s: accuracy=0.7994 +2026-04-09 02:12:01,760 - INFO - Val Horizon 0.0s - Overall: loss=0.9143, accuracy=0.8173 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Overall F1: 0.8091, Precision: 0.8169, Recall: 0.8304 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:12:01,760 - INFO - Macro F1: 0.8091 +2026-04-09 02:12:01,760 - INFO - Weighted F1: 0.8107 +2026-04-09 02:12:01,760 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8864 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Steady F1: 0.8599, Precision: 0.8632, Recall: 0.8854 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:12:01,760 - INFO - Macro F1: 0.8599 +2026-04-09 02:12:01,760 - INFO - Weighted F1: 0.8846 +2026-04-09 02:12:01,760 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4984 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Transition F1: 0.5483, Precision: 0.5505, Recall: 0.5866 +2026-04-09 02:12:01,760 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:12:01,760 - INFO - Macro F1: 0.5483 +2026-04-09 02:12:01,760 - INFO - Weighted F1: 0.4740 +2026-04-09 02:12:01,760 - INFO - +2026-04-09 02:12:01,760 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8217 +2026-04-09 02:12:01,760 - INFO - Horizon 0.1s - Overall F1: 0.8221, Precision: 0.8274, Recall: 0.8419 +2026-04-09 02:12:01,760 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:12:01,760 - INFO - Macro F1: 0.8221 +2026-04-09 02:12:01,760 - INFO - Weighted F1: 0.8190 +2026-04-09 02:12:01,760 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8897 +2026-04-09 02:12:01,760 - INFO - Horizon 0.1s - Steady F1: 0.8718, Precision: 0.8686, Recall: 0.8976 +2026-04-09 02:12:01,760 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:12:01,760 - INFO - Macro F1: 0.8718 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.8902 +2026-04-09 02:12:01,761 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5126 +2026-04-09 02:12:01,761 - INFO - Horizon 0.1s - Transition F1: 0.5623, Precision: 0.5709, Recall: 0.6025 +2026-04-09 02:12:01,761 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:12:01,761 - INFO - Macro F1: 0.5623 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.4891 +2026-04-09 02:12:01,761 - INFO - +2026-04-09 02:12:01,761 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8208 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Overall F1: 0.8260, Precision: 0.8337, Recall: 0.8441 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:12:01,761 - INFO - Macro F1: 0.8260 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.8190 +2026-04-09 02:12:01,761 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8846 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Steady F1: 0.8732, Precision: 0.8713, Recall: 0.8964 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:12:01,761 - INFO - Macro F1: 0.8732 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.8865 +2026-04-09 02:12:01,761 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5232 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Transition F1: 0.5703, Precision: 0.5825, Recall: 0.6140 +2026-04-09 02:12:01,761 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:12:01,761 - INFO - Macro F1: 0.5703 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.4937 +2026-04-09 02:12:01,761 - INFO - +2026-04-09 02:12:01,761 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8193 +2026-04-09 02:12:01,761 - INFO - Horizon 0.3s - Overall F1: 0.8269, Precision: 0.8349, Recall: 0.8437 +2026-04-09 02:12:01,761 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:12:01,761 - INFO - Macro F1: 0.8269 +2026-04-09 02:12:01,761 - INFO - Weighted F1: 0.8186 +2026-04-09 02:12:01,762 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8847 +2026-04-09 02:12:01,762 - INFO - Horizon 0.3s - Steady F1: 0.8733, Precision: 0.8691, Recall: 0.8971 +2026-04-09 02:12:01,762 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:12:01,762 - INFO - Macro F1: 0.8733 +2026-04-09 02:12:01,762 - INFO - Weighted F1: 0.8867 +2026-04-09 02:12:01,762 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5221 +2026-04-09 02:12:01,762 - INFO - Horizon 0.3s - Transition F1: 0.5567, Precision: 0.5842, Recall: 0.5939 +2026-04-09 02:12:01,762 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:12:01,762 - INFO - Macro F1: 0.5567 +2026-04-09 02:12:01,762 - INFO - Weighted F1: 0.4924 +2026-04-09 02:12:01,762 - INFO - +2026-04-09 02:12:01,762 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8173 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Overall F1: 0.8299, Precision: 0.8373, Recall: 0.8476 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:12:01,762 - INFO - Macro F1: 0.8299 +2026-04-09 02:12:01,762 - INFO - Weighted F1: 0.8181 +2026-04-09 02:12:01,762 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8746 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Steady F1: 0.8689, Precision: 0.8623, Recall: 0.8984 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:12:01,762 - INFO - Macro F1: 0.8689 +2026-04-09 02:12:01,762 - INFO - Weighted F1: 0.8773 +2026-04-09 02:12:01,762 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5516 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Transition F1: 0.5541, Precision: 0.5935, Recall: 0.5750 +2026-04-09 02:12:01,762 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:12:01,762 - INFO - Macro F1: 0.5541 +2026-04-09 02:12:01,762 - INFO - Weighted F1: 0.5232 +2026-04-09 02:12:01,762 - INFO - +2026-04-09 02:12:01,762 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7826 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Overall F1: 0.8038, Precision: 0.8055, Recall: 0.8209 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:12:01,763 - INFO - Macro F1: 0.8038 +2026-04-09 02:12:01,763 - INFO - Weighted F1: 0.7883 +2026-04-09 02:12:01,763 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8516 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Steady F1: 0.8455, Precision: 0.8352, Recall: 0.8746 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:12:01,763 - INFO - Macro F1: 0.8455 +2026-04-09 02:12:01,763 - INFO - Weighted F1: 0.8568 +2026-04-09 02:12:01,763 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4567 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Transition F1: 0.5339, Precision: 0.5670, Recall: 0.5355 +2026-04-09 02:12:01,763 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:12:01,763 - INFO - Macro F1: 0.5339 +2026-04-09 02:12:01,763 - INFO - Weighted F1: 0.4396 +2026-04-09 02:12:01,918 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_4.pt +2026-04-09 02:12:01,920 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,921 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:12:01,922 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,923 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,923 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:12:01,924 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,925 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,925 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:12:01,926 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,927 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,927 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:12:01,928 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,929 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,929 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:12:01,930 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,931 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,931 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:12:01,932 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,933 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,933 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:12:01,934 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,935 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,935 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:12:01,936 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,937 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,937 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:12:01,938 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,939 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,939 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:12:01,940 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,941 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,941 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:12:01,942 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,942 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,943 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:12:01,944 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,944 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,945 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:12:01,946 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,946 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,947 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:12:01,948 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,948 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,949 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:12:01,950 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,950 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_4.csv +2026-04-09 02:12:01,951 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:12:01,952 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:12:01,952 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_4.csv +2026-04-09 02:12:01,953 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:12:01,954 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:01,954 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_4.csv +2026-04-09 02:12:01,955 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:12:01,956 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:01,960 - INFO - Removed old checkpoint: checkpoint_epoch_3.pt +2026-04-09 02:12:02,129 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:12:02,144 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:12:02,309 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:12:02,311 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:12:02,312 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:12:02,313 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:12:02,314 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:12:02,315 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:12:02,316 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:12:02,317 - INFO - Epoch 5/50, Learning Rate: 0.000197 +2026-04-09 02:12:54,927 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:12:55,002 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:12:55,070 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:12:55,184 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:12:55,250 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:12:55,316 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:12:58,471 - INFO - Epoch 5/50: +2026-04-09 02:12:58,471 - INFO - Train: loss=0.8278, accuracy_overall=0.8606 +2026-04-09 02:12:58,471 - INFO - Horizon 0.0s: accuracy=0.8647 +2026-04-09 02:12:58,471 - INFO - Horizon 0.1s: accuracy=0.8713 +2026-04-09 02:12:58,471 - INFO - Horizon 0.2s: accuracy=0.8777 +2026-04-09 02:12:58,472 - INFO - Horizon 0.3s: accuracy=0.8752 +2026-04-09 02:12:58,472 - INFO - Horizon 0.5s: accuracy=0.8686 +2026-04-09 02:12:58,472 - INFO - Horizon 1.0s: accuracy=0.8062 +2026-04-09 02:12:58,472 - INFO - Val Horizon 0.0s - Overall: loss=0.9237, accuracy=0.8144 +2026-04-09 02:12:58,472 - INFO - Horizon 0.0s - Overall F1: 0.8121, Precision: 0.8145, Recall: 0.8128 +2026-04-09 02:12:58,472 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:12:58,472 - INFO - Macro F1: 0.8121 +2026-04-09 02:12:58,472 - INFO - Weighted F1: 0.8114 +2026-04-09 02:12:58,472 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8846 +2026-04-09 02:12:58,472 - INFO - Horizon 0.0s - Steady F1: 0.8647, Precision: 0.8632, Recall: 0.8688 +2026-04-09 02:12:58,472 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:12:58,473 - INFO - Macro F1: 0.8647 +2026-04-09 02:12:58,473 - INFO - Weighted F1: 0.8844 +2026-04-09 02:12:58,473 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4907 +2026-04-09 02:12:58,473 - INFO - Horizon 0.0s - Transition F1: 0.5320, Precision: 0.5347, Recall: 0.5450 +2026-04-09 02:12:58,473 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:12:58,473 - INFO - Macro F1: 0.5320 +2026-04-09 02:12:58,473 - INFO - Weighted F1: 0.4832 +2026-04-09 02:12:58,473 - INFO - +2026-04-09 02:12:58,473 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8195 +2026-04-09 02:12:58,473 - INFO - Horizon 0.1s - Overall F1: 0.8211, Precision: 0.8245, Recall: 0.8207 +2026-04-09 02:12:58,473 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:12:58,473 - INFO - Macro F1: 0.8211 +2026-04-09 02:12:58,473 - INFO - Weighted F1: 0.8178 +2026-04-09 02:12:58,473 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8887 +2026-04-09 02:12:58,474 - INFO - Horizon 0.1s - Steady F1: 0.8726, Precision: 0.8705, Recall: 0.8770 +2026-04-09 02:12:58,474 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:12:58,474 - INFO - Macro F1: 0.8726 +2026-04-09 02:12:58,474 - INFO - Weighted F1: 0.8889 +2026-04-09 02:12:58,474 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5050 +2026-04-09 02:12:58,474 - INFO - Horizon 0.1s - Transition F1: 0.5413, Precision: 0.5489, Recall: 0.5519 +2026-04-09 02:12:58,474 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:12:58,474 - INFO - Macro F1: 0.5413 +2026-04-09 02:12:58,474 - INFO - Weighted F1: 0.4976 +2026-04-09 02:12:58,474 - INFO - +2026-04-09 02:12:58,474 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8223 +2026-04-09 02:12:58,474 - INFO - Horizon 0.2s - Overall F1: 0.8295, Precision: 0.8301, Recall: 0.8314 +2026-04-09 02:12:58,474 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:12:58,474 - INFO - Macro F1: 0.8295 +2026-04-09 02:12:58,474 - INFO - Weighted F1: 0.8217 +2026-04-09 02:12:58,474 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8888 +2026-04-09 02:12:58,474 - INFO - Horizon 0.2s - Steady F1: 0.8783, Precision: 0.8737, Recall: 0.8848 +2026-04-09 02:12:58,474 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:12:58,475 - INFO - Macro F1: 0.8783 +2026-04-09 02:12:58,475 - INFO - Weighted F1: 0.8895 +2026-04-09 02:12:58,475 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5122 +2026-04-09 02:12:58,475 - INFO - Horizon 0.2s - Transition F1: 0.5723, Precision: 0.5779, Recall: 0.5832 +2026-04-09 02:12:58,475 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:12:58,475 - INFO - Macro F1: 0.5723 +2026-04-09 02:12:58,475 - INFO - Weighted F1: 0.5053 +2026-04-09 02:12:58,475 - INFO - +2026-04-09 02:12:58,475 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8281 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Overall F1: 0.8387, Precision: 0.8367, Recall: 0.8453 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:12:58,475 - INFO - Macro F1: 0.8387 +2026-04-09 02:12:58,475 - INFO - Weighted F1: 0.8309 +2026-04-09 02:12:58,475 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8974 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Steady F1: 0.8891, Precision: 0.8821, Recall: 0.8994 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:12:58,475 - INFO - Macro F1: 0.8891 +2026-04-09 02:12:58,475 - INFO - Weighted F1: 0.8991 +2026-04-09 02:12:58,475 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5126 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Transition F1: 0.5781, Precision: 0.5794, Recall: 0.5962 +2026-04-09 02:12:58,475 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:12:58,475 - INFO - Macro F1: 0.5781 +2026-04-09 02:12:58,475 - INFO - Weighted F1: 0.5052 +2026-04-09 02:12:58,475 - INFO - +2026-04-09 02:12:58,476 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8248 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Overall F1: 0.8357, Precision: 0.8378, Recall: 0.8433 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:12:58,476 - INFO - Macro F1: 0.8357 +2026-04-09 02:12:58,476 - INFO - Weighted F1: 0.8279 +2026-04-09 02:12:58,476 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8929 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Steady F1: 0.8859, Precision: 0.8788, Recall: 0.8995 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:12:58,476 - INFO - Macro F1: 0.8859 +2026-04-09 02:12:58,476 - INFO - Weighted F1: 0.8945 +2026-04-09 02:12:58,476 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5086 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Transition F1: 0.5386, Precision: 0.5814, Recall: 0.5475 +2026-04-09 02:12:58,476 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:12:58,476 - INFO - Macro F1: 0.5386 +2026-04-09 02:12:58,476 - INFO - Weighted F1: 0.4918 +2026-04-09 02:12:58,476 - INFO - +2026-04-09 02:12:58,476 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7807 +2026-04-09 02:12:58,476 - INFO - Horizon 1.0s - Overall F1: 0.7966, Precision: 0.8008, Recall: 0.8045 +2026-04-09 02:12:58,476 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:12:58,476 - INFO - Macro F1: 0.7966 +2026-04-09 02:12:58,476 - INFO - Weighted F1: 0.7847 +2026-04-09 02:12:58,476 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8534 +2026-04-09 02:12:58,476 - INFO - Horizon 1.0s - Steady F1: 0.8421, Precision: 0.8354, Recall: 0.8585 +2026-04-09 02:12:58,476 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:12:58,476 - INFO - Macro F1: 0.8421 +2026-04-09 02:12:58,477 - INFO - Weighted F1: 0.8561 +2026-04-09 02:12:58,477 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4372 +2026-04-09 02:12:58,477 - INFO - Horizon 1.0s - Transition F1: 0.4891, Precision: 0.5569, Recall: 0.4719 +2026-04-09 02:12:58,477 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:12:58,477 - INFO - Macro F1: 0.4891 +2026-04-09 02:12:58,477 - INFO - Weighted F1: 0.4251 +2026-04-09 02:12:58,791 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_5.pt +2026-04-09 02:12:58,795 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_5.csv +2026-04-09 02:12:58,797 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:12:58,798 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:12:58,799 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_5.csv +2026-04-09 02:12:58,800 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:12:58,800 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:58,801 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_5.csv +2026-04-09 02:12:58,802 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:12:58,803 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:58,804 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_5.csv +2026-04-09 02:12:58,804 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:12:58,805 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:12:58,806 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_5.csv +2026-04-09 02:12:58,806 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:12:58,807 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:12:58,808 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_5.csv +2026-04-09 02:12:58,808 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:12:58,809 - INFO - Saved best transition horizon 0.1s confusion matrix: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_5.csv +2026-04-09 02:12:58,824 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:12:58,825 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:58,826 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_5.csv +2026-04-09 02:12:58,827 - INFO - Saved best overall horizon 0.5s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_5.csv +2026-04-09 02:12:58,836 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:12:58,837 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:12:58,838 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_5.csv +2026-04-09 02:12:58,840 - INFO - Saved best steady horizon 1.0s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:12:58,850 - INFO - Removed old checkpoint: checkpoint_epoch_4.pt +2026-04-09 02:12:59,230 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:12:59,253 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:12:59,425 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:12:59,428 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:12:59,429 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:12:59,431 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:12:59,432 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:12:59,434 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:12:59,435 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:12:59,436 - INFO - Epoch 6/50, Learning Rate: 0.000195 +2026-04-09 02:13:41,706 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:13:41,781 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:13:41,837 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:13:41,892 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:13:41,948 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:13:42,005 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:13:43,854 - INFO - Epoch 6/50: +2026-04-09 02:13:43,854 - INFO - Train: loss=0.8179, accuracy_overall=0.8661 +2026-04-09 02:13:43,854 - INFO - Horizon 0.0s: accuracy=0.8734 +2026-04-09 02:13:43,854 - INFO - Horizon 0.1s: accuracy=0.8804 +2026-04-09 02:13:43,854 - INFO - Horizon 0.2s: accuracy=0.8777 +2026-04-09 02:13:43,854 - INFO - Horizon 0.3s: accuracy=0.8785 +2026-04-09 02:13:43,854 - INFO - Horizon 0.5s: accuracy=0.8734 +2026-04-09 02:13:43,854 - INFO - Horizon 1.0s: accuracy=0.8134 +2026-04-09 02:13:43,854 - INFO - Val Horizon 0.0s - Overall: loss=0.9235, accuracy=0.8118 +2026-04-09 02:13:43,854 - INFO - Horizon 0.0s - Overall F1: 0.8084, Precision: 0.7971, Recall: 0.8366 +2026-04-09 02:13:43,854 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:13:43,854 - INFO - Macro F1: 0.8084 +2026-04-09 02:13:43,854 - INFO - Weighted F1: 0.8072 +2026-04-09 02:13:43,854 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8776 +2026-04-09 02:13:43,855 - INFO - Horizon 0.0s - Steady F1: 0.8569, Precision: 0.8476, Recall: 0.8860 +2026-04-09 02:13:43,855 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:13:43,855 - INFO - Macro F1: 0.8569 +2026-04-09 02:13:43,855 - INFO - Weighted F1: 0.8764 +2026-04-09 02:13:43,855 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5080 +2026-04-09 02:13:43,855 - INFO - Horizon 0.0s - Transition F1: 0.5628, Precision: 0.5326, Recall: 0.6300 +2026-04-09 02:13:43,855 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:13:43,855 - INFO - Macro F1: 0.5628 +2026-04-09 02:13:43,855 - INFO - Weighted F1: 0.4951 +2026-04-09 02:13:43,855 - INFO - +2026-04-09 02:13:43,855 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8189 +2026-04-09 02:13:43,855 - INFO - Horizon 0.1s - Overall F1: 0.8151, Precision: 0.8077, Recall: 0.8439 +2026-04-09 02:13:43,855 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:13:43,855 - INFO - Macro F1: 0.8151 +2026-04-09 02:13:43,855 - INFO - Weighted F1: 0.8132 +2026-04-09 02:13:43,855 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8840 +2026-04-09 02:13:43,855 - INFO - Horizon 0.1s - Steady F1: 0.8627, Precision: 0.8585, Recall: 0.8896 +2026-04-09 02:13:43,856 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:13:43,856 - INFO - Macro F1: 0.8627 +2026-04-09 02:13:43,856 - INFO - Weighted F1: 0.8816 +2026-04-09 02:13:43,856 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5227 +2026-04-09 02:13:43,856 - INFO - Horizon 0.1s - Transition F1: 0.5653, Precision: 0.5354, Recall: 0.6417 +2026-04-09 02:13:43,856 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:13:43,856 - INFO - Macro F1: 0.5653 +2026-04-09 02:13:43,856 - INFO - Weighted F1: 0.5061 +2026-04-09 02:13:43,856 - INFO - +2026-04-09 02:13:43,856 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8241 +2026-04-09 02:13:43,856 - INFO - Horizon 0.2s - Overall F1: 0.8254, Precision: 0.8185, Recall: 0.8478 +2026-04-09 02:13:43,856 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:13:43,856 - INFO - Macro F1: 0.8254 +2026-04-09 02:13:43,856 - INFO - Weighted F1: 0.8182 +2026-04-09 02:13:43,856 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8881 +2026-04-09 02:13:43,856 - INFO - Horizon 0.2s - Steady F1: 0.8728, Precision: 0.8677, Recall: 0.8919 +2026-04-09 02:13:43,856 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:13:43,857 - INFO - Macro F1: 0.8728 +2026-04-09 02:13:43,857 - INFO - Weighted F1: 0.8853 +2026-04-09 02:13:43,857 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5257 +2026-04-09 02:13:43,857 - INFO - Horizon 0.2s - Transition F1: 0.5836, Precision: 0.5565, Recall: 0.6471 +2026-04-09 02:13:43,857 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:13:43,857 - INFO - Macro F1: 0.5836 +2026-04-09 02:13:43,857 - INFO - Weighted F1: 0.5076 +2026-04-09 02:13:43,857 - INFO - +2026-04-09 02:13:43,857 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8228 +2026-04-09 02:13:43,857 - INFO - Horizon 0.3s - Overall F1: 0.8294, Precision: 0.8189, Recall: 0.8521 +2026-04-09 02:13:43,857 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:13:43,857 - INFO - Macro F1: 0.8294 +2026-04-09 02:13:43,857 - INFO - Weighted F1: 0.8187 +2026-04-09 02:13:43,857 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8902 +2026-04-09 02:13:43,857 - INFO - Horizon 0.3s - Steady F1: 0.8796, Precision: 0.8742, Recall: 0.8950 +2026-04-09 02:13:43,857 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:13:43,857 - INFO - Macro F1: 0.8796 +2026-04-09 02:13:43,857 - INFO - Weighted F1: 0.8875 +2026-04-09 02:13:43,857 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5164 +2026-04-09 02:13:43,857 - INFO - Horizon 0.3s - Transition F1: 0.5922, Precision: 0.5598, Recall: 0.6616 +2026-04-09 02:13:43,858 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:13:43,858 - INFO - Macro F1: 0.5922 +2026-04-09 02:13:43,858 - INFO - Weighted F1: 0.5005 +2026-04-09 02:13:43,858 - INFO - +2026-04-09 02:13:43,858 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8194 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Overall F1: 0.8302, Precision: 0.8313, Recall: 0.8368 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:13:43,858 - INFO - Macro F1: 0.8302 +2026-04-09 02:13:43,858 - INFO - Weighted F1: 0.8138 +2026-04-09 02:13:43,858 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8862 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Steady F1: 0.8788, Precision: 0.8783, Recall: 0.8858 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:13:43,858 - INFO - Macro F1: 0.8788 +2026-04-09 02:13:43,858 - INFO - Weighted F1: 0.8836 +2026-04-09 02:13:43,858 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5099 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Transition F1: 0.5790, Precision: 0.5709, Recall: 0.6120 +2026-04-09 02:13:43,858 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:13:43,858 - INFO - Macro F1: 0.5790 +2026-04-09 02:13:43,859 - INFO - Weighted F1: 0.4922 +2026-04-09 02:13:43,859 - INFO - +2026-04-09 02:13:43,859 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7833 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Overall F1: 0.8024, Precision: 0.7962, Recall: 0.8131 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:13:43,859 - INFO - Macro F1: 0.8024 +2026-04-09 02:13:43,859 - INFO - Weighted F1: 0.7841 +2026-04-09 02:13:43,859 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8603 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Steady F1: 0.8488, Precision: 0.8376, Recall: 0.8642 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:13:43,859 - INFO - Macro F1: 0.8488 +2026-04-09 02:13:43,859 - INFO - Weighted F1: 0.8615 +2026-04-09 02:13:43,859 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4196 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Transition F1: 0.5271, Precision: 0.5375, Recall: 0.5306 +2026-04-09 02:13:43,859 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:13:43,859 - INFO - Macro F1: 0.5271 +2026-04-09 02:13:43,859 - INFO - Weighted F1: 0.4127 +2026-04-09 02:13:43,998 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_6.pt +2026-04-09 02:13:44,000 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,001 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,002 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,002 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,003 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,004 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,005 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,006 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,007 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,007 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,008 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,009 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,010 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,011 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,011 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,012 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_6.csv +2026-04-09 02:13:44,013 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_6.csv +2026-04-09 02:13:44,014 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_6.csv +2026-04-09 02:13:44,017 - INFO - Removed old checkpoint: checkpoint_epoch_5.pt +2026-04-09 02:13:44,018 - INFO - Epoch 7/50, Learning Rate: 0.000193 +2026-04-09 02:14:35,745 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:14:35,836 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:14:35,922 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:14:36,051 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:14:36,125 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:14:36,201 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:14:38,542 - INFO - Epoch 7/50: +2026-04-09 02:14:38,543 - INFO - Train: loss=0.8078, accuracy_overall=0.8713 +2026-04-09 02:14:38,543 - INFO - Horizon 0.0s: accuracy=0.8759 +2026-04-09 02:14:38,543 - INFO - Horizon 0.1s: accuracy=0.8815 +2026-04-09 02:14:38,543 - INFO - Horizon 0.2s: accuracy=0.8855 +2026-04-09 02:14:38,543 - INFO - Horizon 0.3s: accuracy=0.8863 +2026-04-09 02:14:38,543 - INFO - Horizon 0.5s: accuracy=0.8752 +2026-04-09 02:14:38,543 - INFO - Horizon 1.0s: accuracy=0.8232 +2026-04-09 02:14:38,543 - INFO - Val Horizon 0.0s - Overall: loss=0.9575, accuracy=0.7880 +2026-04-09 02:14:38,543 - INFO - Horizon 0.0s - Overall F1: 0.7922, Precision: 0.7904, Recall: 0.8158 +2026-04-09 02:14:38,543 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:14:38,543 - INFO - Macro F1: 0.7922 +2026-04-09 02:14:38,543 - INFO - Weighted F1: 0.7897 +2026-04-09 02:14:38,543 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8528 +2026-04-09 02:14:38,543 - INFO - Horizon 0.0s - Steady F1: 0.8363, Precision: 0.8266, Recall: 0.8664 +2026-04-09 02:14:38,543 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:14:38,543 - INFO - Macro F1: 0.8363 +2026-04-09 02:14:38,544 - INFO - Weighted F1: 0.8562 +2026-04-09 02:14:38,544 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4888 +2026-04-09 02:14:38,544 - INFO - Horizon 0.0s - Transition F1: 0.5244, Precision: 0.5350, Recall: 0.5608 +2026-04-09 02:14:38,544 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:14:38,544 - INFO - Macro F1: 0.5244 +2026-04-09 02:14:38,544 - INFO - Weighted F1: 0.4727 +2026-04-09 02:14:38,544 - INFO - +2026-04-09 02:14:38,544 - INFO - Val Horizon 0.1s - Overall: accuracy=0.7972 +2026-04-09 02:14:38,544 - INFO - Horizon 0.1s - Overall F1: 0.8012, Precision: 0.8015, Recall: 0.8205 +2026-04-09 02:14:38,544 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:14:38,544 - INFO - Macro F1: 0.8012 +2026-04-09 02:14:38,544 - INFO - Weighted F1: 0.7970 +2026-04-09 02:14:38,544 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8617 +2026-04-09 02:14:38,544 - INFO - Horizon 0.1s - Steady F1: 0.8466, Precision: 0.8394, Recall: 0.8709 +2026-04-09 02:14:38,544 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:14:38,544 - INFO - Macro F1: 0.8466 +2026-04-09 02:14:38,544 - INFO - Weighted F1: 0.8639 +2026-04-09 02:14:38,545 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5038 +2026-04-09 02:14:38,545 - INFO - Horizon 0.1s - Transition F1: 0.5383, Precision: 0.5475, Recall: 0.5770 +2026-04-09 02:14:38,545 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:14:38,545 - INFO - Macro F1: 0.5383 +2026-04-09 02:14:38,545 - INFO - Weighted F1: 0.4828 +2026-04-09 02:14:38,545 - INFO - +2026-04-09 02:14:38,545 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8078 +2026-04-09 02:14:38,545 - INFO - Horizon 0.2s - Overall F1: 0.8139, Precision: 0.8148, Recall: 0.8291 +2026-04-09 02:14:38,545 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:14:38,545 - INFO - Macro F1: 0.8139 +2026-04-09 02:14:38,545 - INFO - Weighted F1: 0.8050 +2026-04-09 02:14:38,546 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8686 +2026-04-09 02:14:38,546 - INFO - Horizon 0.2s - Steady F1: 0.8598, Precision: 0.8533, Recall: 0.8781 +2026-04-09 02:14:38,546 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:14:38,546 - INFO - Macro F1: 0.8598 +2026-04-09 02:14:38,546 - INFO - Weighted F1: 0.8687 +2026-04-09 02:14:38,546 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5245 +2026-04-09 02:14:38,546 - INFO - Horizon 0.2s - Transition F1: 0.5647, Precision: 0.5716, Recall: 0.6031 +2026-04-09 02:14:38,546 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:14:38,546 - INFO - Macro F1: 0.5647 +2026-04-09 02:14:38,546 - INFO - Weighted F1: 0.4997 +2026-04-09 02:14:38,546 - INFO - +2026-04-09 02:14:38,546 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8098 +2026-04-09 02:14:38,546 - INFO - Horizon 0.3s - Overall F1: 0.8189, Precision: 0.8236, Recall: 0.8260 +2026-04-09 02:14:38,546 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:14:38,547 - INFO - Macro F1: 0.8189 +2026-04-09 02:14:38,547 - INFO - Weighted F1: 0.8062 +2026-04-09 02:14:38,547 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8733 +2026-04-09 02:14:38,547 - INFO - Horizon 0.3s - Steady F1: 0.8651, Precision: 0.8632, Recall: 0.8751 +2026-04-09 02:14:38,547 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:14:38,547 - INFO - Macro F1: 0.8651 +2026-04-09 02:14:38,547 - INFO - Weighted F1: 0.8720 +2026-04-09 02:14:38,547 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5208 +2026-04-09 02:14:38,547 - INFO - Horizon 0.3s - Transition F1: 0.5614, Precision: 0.5744, Recall: 0.5876 +2026-04-09 02:14:38,547 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:14:38,547 - INFO - Macro F1: 0.5614 +2026-04-09 02:14:38,547 - INFO - Weighted F1: 0.5010 +2026-04-09 02:14:38,547 - INFO - +2026-04-09 02:14:38,547 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8064 +2026-04-09 02:14:38,547 - INFO - Horizon 0.5s - Overall F1: 0.8252, Precision: 0.8252, Recall: 0.8324 +2026-04-09 02:14:38,547 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:14:38,547 - INFO - Macro F1: 0.8252 +2026-04-09 02:14:38,548 - INFO - Weighted F1: 0.8054 +2026-04-09 02:14:38,548 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8689 +2026-04-09 02:14:38,548 - INFO - Horizon 0.5s - Steady F1: 0.8674, Precision: 0.8577, Recall: 0.8826 +2026-04-09 02:14:38,548 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:14:38,548 - INFO - Macro F1: 0.8674 +2026-04-09 02:14:38,548 - INFO - Weighted F1: 0.8699 +2026-04-09 02:14:38,548 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5163 +2026-04-09 02:14:38,548 - INFO - Horizon 0.5s - Transition F1: 0.5719, Precision: 0.5868, Recall: 0.5841 +2026-04-09 02:14:38,548 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:14:38,548 - INFO - Macro F1: 0.5719 +2026-04-09 02:14:38,548 - INFO - Weighted F1: 0.5015 +2026-04-09 02:14:38,548 - INFO - +2026-04-09 02:14:38,548 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7735 +2026-04-09 02:14:38,548 - INFO - Horizon 1.0s - Overall F1: 0.7911, Precision: 0.7892, Recall: 0.8102 +2026-04-09 02:14:38,548 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:14:38,548 - INFO - Macro F1: 0.7911 +2026-04-09 02:14:38,548 - INFO - Weighted F1: 0.7737 +2026-04-09 02:14:38,548 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8404 +2026-04-09 02:14:38,548 - INFO - Horizon 1.0s - Steady F1: 0.8268, Precision: 0.8154, Recall: 0.8530 +2026-04-09 02:14:38,548 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:14:38,548 - INFO - Macro F1: 0.8268 +2026-04-09 02:14:38,548 - INFO - Weighted F1: 0.8418 +2026-04-09 02:14:38,548 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4574 +2026-04-09 02:14:38,548 - INFO - Horizon 1.0s - Transition F1: 0.5198, Precision: 0.5529, Recall: 0.5298 +2026-04-09 02:14:38,549 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:14:38,549 - INFO - Macro F1: 0.5198 +2026-04-09 02:14:38,549 - INFO - Weighted F1: 0.4384 +2026-04-09 02:14:38,828 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_7.pt +2026-04-09 02:14:38,832 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,833 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,833 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,834 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,835 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,836 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,837 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,837 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,838 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,839 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,840 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,840 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,841 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,842 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,843 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,844 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_7.csv +2026-04-09 02:14:38,844 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_7.csv +2026-04-09 02:14:38,845 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_7.csv +2026-04-09 02:14:38,850 - INFO - Removed old checkpoint: checkpoint_epoch_6.pt +2026-04-09 02:14:38,851 - INFO - Epoch 8/50, Learning Rate: 0.000191 +2026-04-09 02:15:28,916 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:15:28,998 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:15:29,084 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:15:29,191 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:15:29,269 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:15:29,336 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:15:31,899 - INFO - Epoch 8/50: +2026-04-09 02:15:31,900 - INFO - Train: loss=0.7920, accuracy_overall=0.8781 +2026-04-09 02:15:31,900 - INFO - Horizon 0.0s: accuracy=0.8858 +2026-04-09 02:15:31,900 - INFO - Horizon 0.1s: accuracy=0.8877 +2026-04-09 02:15:31,900 - INFO - Horizon 0.2s: accuracy=0.8920 +2026-04-09 02:15:31,900 - INFO - Horizon 0.3s: accuracy=0.8912 +2026-04-09 02:15:31,900 - INFO - Horizon 0.5s: accuracy=0.8800 +2026-04-09 02:15:31,900 - INFO - Horizon 1.0s: accuracy=0.8319 +2026-04-09 02:15:31,900 - INFO - Val Horizon 0.0s - Overall: loss=0.9180, accuracy=0.8114 +2026-04-09 02:15:31,900 - INFO - Horizon 0.0s - Overall F1: 0.8131, Precision: 0.8030, Recall: 0.8297 +2026-04-09 02:15:31,900 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:15:31,900 - INFO - Macro F1: 0.8131 +2026-04-09 02:15:31,900 - INFO - Weighted F1: 0.8092 +2026-04-09 02:15:31,900 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8776 +2026-04-09 02:15:31,900 - INFO - Horizon 0.0s - Steady F1: 0.8646, Precision: 0.8517, Recall: 0.8848 +2026-04-09 02:15:31,900 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:15:31,901 - INFO - Macro F1: 0.8646 +2026-04-09 02:15:31,901 - INFO - Weighted F1: 0.8774 +2026-04-09 02:15:31,901 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5054 +2026-04-09 02:15:31,901 - INFO - Horizon 0.0s - Transition F1: 0.5509, Precision: 0.5309, Recall: 0.5884 +2026-04-09 02:15:31,901 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:15:31,901 - INFO - Macro F1: 0.5509 +2026-04-09 02:15:31,901 - INFO - Weighted F1: 0.4986 +2026-04-09 02:15:31,901 - INFO - +2026-04-09 02:15:31,901 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8193 +2026-04-09 02:15:31,901 - INFO - Horizon 0.1s - Overall F1: 0.8234, Precision: 0.8143, Recall: 0.8379 +2026-04-09 02:15:31,901 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:15:31,901 - INFO - Macro F1: 0.8234 +2026-04-09 02:15:31,901 - INFO - Weighted F1: 0.8171 +2026-04-09 02:15:31,901 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8856 +2026-04-09 02:15:31,901 - INFO - Horizon 0.1s - Steady F1: 0.8772, Precision: 0.8666, Recall: 0.8925 +2026-04-09 02:15:31,901 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:15:31,901 - INFO - Macro F1: 0.8772 +2026-04-09 02:15:31,902 - INFO - Weighted F1: 0.8851 +2026-04-09 02:15:31,902 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5177 +2026-04-09 02:15:31,902 - INFO - Horizon 0.1s - Transition F1: 0.5609, Precision: 0.5384, Recall: 0.6042 +2026-04-09 02:15:31,902 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:15:31,902 - INFO - Macro F1: 0.5609 +2026-04-09 02:15:31,902 - INFO - Weighted F1: 0.5102 +2026-04-09 02:15:31,902 - INFO - +2026-04-09 02:15:31,902 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8210 +2026-04-09 02:15:31,902 - INFO - Horizon 0.2s - Overall F1: 0.8292, Precision: 0.8234, Recall: 0.8398 +2026-04-09 02:15:31,902 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:15:31,902 - INFO - Macro F1: 0.8292 +2026-04-09 02:15:31,902 - INFO - Weighted F1: 0.8188 +2026-04-09 02:15:31,902 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8850 +2026-04-09 02:15:31,902 - INFO - Horizon 0.2s - Steady F1: 0.8809, Precision: 0.8744, Recall: 0.8908 +2026-04-09 02:15:31,902 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:15:31,902 - INFO - Macro F1: 0.8809 +2026-04-09 02:15:31,902 - INFO - Weighted F1: 0.8845 +2026-04-09 02:15:31,902 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5225 +2026-04-09 02:15:31,903 - INFO - Horizon 0.2s - Transition F1: 0.5777, Precision: 0.5577, Recall: 0.6184 +2026-04-09 02:15:31,903 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:15:31,903 - INFO - Macro F1: 0.5777 +2026-04-09 02:15:31,903 - INFO - Weighted F1: 0.5136 +2026-04-09 02:15:31,903 - INFO - +2026-04-09 02:15:31,903 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8189 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Overall F1: 0.8306, Precision: 0.8221, Recall: 0.8425 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:15:31,903 - INFO - Macro F1: 0.8306 +2026-04-09 02:15:31,903 - INFO - Weighted F1: 0.8181 +2026-04-09 02:15:31,903 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8841 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Steady F1: 0.8802, Precision: 0.8707, Recall: 0.8920 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:15:31,903 - INFO - Macro F1: 0.8802 +2026-04-09 02:15:31,903 - INFO - Weighted F1: 0.8842 +2026-04-09 02:15:31,903 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5221 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Transition F1: 0.5840, Precision: 0.5640, Recall: 0.6217 +2026-04-09 02:15:31,903 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:15:31,904 - INFO - Macro F1: 0.5840 +2026-04-09 02:15:31,904 - INFO - Weighted F1: 0.5156 +2026-04-09 02:15:31,904 - INFO - +2026-04-09 02:15:31,904 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8187 +2026-04-09 02:15:31,904 - INFO - Horizon 0.5s - Overall F1: 0.8310, Precision: 0.8272, Recall: 0.8394 +2026-04-09 02:15:31,904 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:15:31,904 - INFO - Macro F1: 0.8310 +2026-04-09 02:15:31,904 - INFO - Weighted F1: 0.8182 +2026-04-09 02:15:31,904 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8801 +2026-04-09 02:15:31,904 - INFO - Horizon 0.5s - Steady F1: 0.8770, Precision: 0.8692, Recall: 0.8882 +2026-04-09 02:15:31,904 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:15:31,904 - INFO - Macro F1: 0.8770 +2026-04-09 02:15:31,904 - INFO - Weighted F1: 0.8807 +2026-04-09 02:15:31,904 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5343 +2026-04-09 02:15:31,905 - INFO - Horizon 0.5s - Transition F1: 0.5787, Precision: 0.5694, Recall: 0.6059 +2026-04-09 02:15:31,905 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:15:31,905 - INFO - Macro F1: 0.5787 +2026-04-09 02:15:31,905 - INFO - Weighted F1: 0.5272 +2026-04-09 02:15:31,905 - INFO - +2026-04-09 02:15:31,905 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7852 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Overall F1: 0.8022, Precision: 0.8071, Recall: 0.8018 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:15:31,905 - INFO - Macro F1: 0.8022 +2026-04-09 02:15:31,905 - INFO - Weighted F1: 0.7845 +2026-04-09 02:15:31,905 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8542 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Steady F1: 0.8430, Precision: 0.8432, Recall: 0.8470 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:15:31,905 - INFO - Macro F1: 0.8430 +2026-04-09 02:15:31,905 - INFO - Weighted F1: 0.8533 +2026-04-09 02:15:31,905 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4593 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Transition F1: 0.5422, Precision: 0.5837, Recall: 0.5270 +2026-04-09 02:15:31,905 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:15:31,906 - INFO - Macro F1: 0.5422 +2026-04-09 02:15:31,906 - INFO - Weighted F1: 0.4553 +2026-04-09 02:15:32,271 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_8.pt +2026-04-09 02:15:32,274 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,275 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,276 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,276 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,277 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,278 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,279 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,280 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,280 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,281 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,282 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,282 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,283 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,284 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,285 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,286 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_8.csv +2026-04-09 02:15:32,286 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_8.csv +2026-04-09 02:15:32,287 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_8.csv +2026-04-09 02:15:32,298 - INFO - Removed old checkpoint: checkpoint_epoch_7.pt +2026-04-09 02:15:32,300 - INFO - Epoch 9/50, Learning Rate: 0.000188 +2026-04-09 02:16:19,972 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:16:20,044 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:16:20,110 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:16:20,172 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:16:20,234 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:16:20,298 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:16:22,200 - INFO - Epoch 9/50: +2026-04-09 02:16:22,200 - INFO - Train: loss=0.7869, accuracy_overall=0.8785 +2026-04-09 02:16:22,200 - INFO - Horizon 0.0s: accuracy=0.8882 +2026-04-09 02:16:22,200 - INFO - Horizon 0.1s: accuracy=0.8878 +2026-04-09 02:16:22,200 - INFO - Horizon 0.2s: accuracy=0.8915 +2026-04-09 02:16:22,200 - INFO - Horizon 0.3s: accuracy=0.8908 +2026-04-09 02:16:22,201 - INFO - Horizon 0.5s: accuracy=0.8827 +2026-04-09 02:16:22,201 - INFO - Horizon 1.0s: accuracy=0.8302 +2026-04-09 02:16:22,201 - INFO - Val Horizon 0.0s - Overall: loss=0.9174, accuracy=0.8143 +2026-04-09 02:16:22,201 - INFO - Horizon 0.0s - Overall F1: 0.8125, Precision: 0.8046, Recall: 0.8272 +2026-04-09 02:16:22,201 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:16:22,201 - INFO - Macro F1: 0.8125 +2026-04-09 02:16:22,201 - INFO - Weighted F1: 0.8122 +2026-04-09 02:16:22,201 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8846 +2026-04-09 02:16:22,201 - INFO - Horizon 0.0s - Steady F1: 0.8618, Precision: 0.8522, Recall: 0.8791 +2026-04-09 02:16:22,201 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:16:22,201 - INFO - Macro F1: 0.8618 +2026-04-09 02:16:22,202 - INFO - Weighted F1: 0.8849 +2026-04-09 02:16:22,202 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4901 +2026-04-09 02:16:22,202 - INFO - Horizon 0.0s - Transition F1: 0.5391, Precision: 0.5365, Recall: 0.5821 +2026-04-09 02:16:22,202 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:16:22,202 - INFO - Macro F1: 0.5391 +2026-04-09 02:16:22,202 - INFO - Weighted F1: 0.4796 +2026-04-09 02:16:22,202 - INFO - +2026-04-09 02:16:22,202 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8225 +2026-04-09 02:16:22,202 - INFO - Horizon 0.1s - Overall F1: 0.8205, Precision: 0.8153, Recall: 0.8345 +2026-04-09 02:16:22,202 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:16:22,202 - INFO - Macro F1: 0.8205 +2026-04-09 02:16:22,202 - INFO - Weighted F1: 0.8193 +2026-04-09 02:16:22,202 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8901 +2026-04-09 02:16:22,202 - INFO - Horizon 0.1s - Steady F1: 0.8688, Precision: 0.8600, Recall: 0.8858 +2026-04-09 02:16:22,202 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:16:22,203 - INFO - Macro F1: 0.8688 +2026-04-09 02:16:22,203 - INFO - Weighted F1: 0.8896 +2026-04-09 02:16:22,203 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5151 +2026-04-09 02:16:22,203 - INFO - Horizon 0.1s - Transition F1: 0.5601, Precision: 0.5587, Recall: 0.5981 +2026-04-09 02:16:22,203 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:16:22,203 - INFO - Macro F1: 0.5601 +2026-04-09 02:16:22,203 - INFO - Weighted F1: 0.5027 +2026-04-09 02:16:22,203 - INFO - +2026-04-09 02:16:22,203 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8174 +2026-04-09 02:16:22,203 - INFO - Horizon 0.2s - Overall F1: 0.8173, Precision: 0.8128, Recall: 0.8311 +2026-04-09 02:16:22,203 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:16:22,203 - INFO - Macro F1: 0.8173 +2026-04-09 02:16:22,203 - INFO - Weighted F1: 0.8133 +2026-04-09 02:16:22,203 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8835 +2026-04-09 02:16:22,203 - INFO - Horizon 0.2s - Steady F1: 0.8651, Precision: 0.8581, Recall: 0.8793 +2026-04-09 02:16:22,204 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:16:22,204 - INFO - Macro F1: 0.8651 +2026-04-09 02:16:22,204 - INFO - Weighted F1: 0.8823 +2026-04-09 02:16:22,204 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5090 +2026-04-09 02:16:22,204 - INFO - Horizon 0.2s - Transition F1: 0.5612, Precision: 0.5617, Recall: 0.6017 +2026-04-09 02:16:22,204 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:16:22,204 - INFO - Macro F1: 0.5612 +2026-04-09 02:16:22,204 - INFO - Weighted F1: 0.4960 +2026-04-09 02:16:22,204 - INFO - +2026-04-09 02:16:22,204 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8186 +2026-04-09 02:16:22,204 - INFO - Horizon 0.3s - Overall F1: 0.8254, Precision: 0.8201, Recall: 0.8379 +2026-04-09 02:16:22,204 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:16:22,204 - INFO - Macro F1: 0.8254 +2026-04-09 02:16:22,204 - INFO - Weighted F1: 0.8159 +2026-04-09 02:16:22,204 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8859 +2026-04-09 02:16:22,204 - INFO - Horizon 0.3s - Steady F1: 0.8705, Precision: 0.8651, Recall: 0.8813 +2026-04-09 02:16:22,205 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:16:22,205 - INFO - Macro F1: 0.8705 +2026-04-09 02:16:22,205 - INFO - Weighted F1: 0.8841 +2026-04-09 02:16:22,205 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5126 +2026-04-09 02:16:22,205 - INFO - Horizon 0.3s - Transition F1: 0.5790, Precision: 0.5729, Recall: 0.6160 +2026-04-09 02:16:22,205 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:16:22,205 - INFO - Macro F1: 0.5790 +2026-04-09 02:16:22,205 - INFO - Weighted F1: 0.5052 +2026-04-09 02:16:22,205 - INFO - +2026-04-09 02:16:22,205 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8134 +2026-04-09 02:16:22,205 - INFO - Horizon 0.5s - Overall F1: 0.8227, Precision: 0.8189, Recall: 0.8325 +2026-04-09 02:16:22,205 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:16:22,205 - INFO - Macro F1: 0.8227 +2026-04-09 02:16:22,205 - INFO - Weighted F1: 0.8101 +2026-04-09 02:16:22,205 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8829 +2026-04-09 02:16:22,205 - INFO - Horizon 0.5s - Steady F1: 0.8723, Precision: 0.8642, Recall: 0.8851 +2026-04-09 02:16:22,205 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:16:22,206 - INFO - Macro F1: 0.8723 +2026-04-09 02:16:22,206 - INFO - Weighted F1: 0.8817 +2026-04-09 02:16:22,206 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4914 +2026-04-09 02:16:22,206 - INFO - Horizon 0.5s - Transition F1: 0.5476, Precision: 0.5530, Recall: 0.5758 +2026-04-09 02:16:22,206 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:16:22,206 - INFO - Macro F1: 0.5476 +2026-04-09 02:16:22,206 - INFO - Weighted F1: 0.4837 +2026-04-09 02:16:22,206 - INFO - +2026-04-09 02:16:22,206 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7868 +2026-04-09 02:16:22,206 - INFO - Horizon 1.0s - Overall F1: 0.8006, Precision: 0.7993, Recall: 0.8072 +2026-04-09 02:16:22,206 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:16:22,206 - INFO - Macro F1: 0.8006 +2026-04-09 02:16:22,206 - INFO - Weighted F1: 0.7838 +2026-04-09 02:16:22,206 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8618 +2026-04-09 02:16:22,206 - INFO - Horizon 1.0s - Steady F1: 0.8498, Precision: 0.8448, Recall: 0.8595 +2026-04-09 02:16:22,206 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:16:22,206 - INFO - Macro F1: 0.8498 +2026-04-09 02:16:22,206 - INFO - Weighted F1: 0.8604 +2026-04-09 02:16:22,206 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4327 +2026-04-09 02:16:22,207 - INFO - Horizon 1.0s - Transition F1: 0.5216, Precision: 0.5525, Recall: 0.5211 +2026-04-09 02:16:22,207 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:16:22,207 - INFO - Macro F1: 0.5216 +2026-04-09 02:16:22,207 - INFO - Weighted F1: 0.4263 +2026-04-09 02:16:22,418 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_9.pt +2026-04-09 02:16:22,420 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,421 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:16:22,422 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,423 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,423 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:16:22,424 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,425 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,426 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:16:22,426 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,427 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,428 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:16:22,429 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,429 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,430 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:16:22,431 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,431 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,432 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:16:22,433 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,433 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,434 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:16:22,435 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,435 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,436 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:16:22,437 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,438 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,438 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:16:22,439 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,440 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,440 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:16:22,441 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,442 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,442 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:16:22,443 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,444 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,444 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:16:22,445 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,446 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,446 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:16:22,447 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,448 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,448 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:16:22,449 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,450 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,451 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:16:22,452 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,453 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_9.csv +2026-04-09 02:16:22,454 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:16:22,454 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:16:22,455 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_9.csv +2026-04-09 02:16:22,456 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:16:22,457 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:16:22,458 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_9.csv +2026-04-09 02:16:22,458 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:16:22,459 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:16:22,463 - INFO - Removed old checkpoint: checkpoint_epoch_8.pt +2026-04-09 02:16:22,629 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:16:22,646 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:16:22,789 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:16:22,790 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:16:22,791 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:16:22,792 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:16:22,793 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:16:22,794 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:16:22,795 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:16:22,796 - INFO - Epoch 10/50, Learning Rate: 0.000185 +2026-04-09 02:17:12,649 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:17:12,730 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:17:12,804 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:17:12,886 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:17:12,959 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:17:13,033 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:17:15,345 - INFO - Epoch 10/50: +2026-04-09 02:17:15,346 - INFO - Train: loss=0.7748, accuracy_overall=0.8870 +2026-04-09 02:17:15,346 - INFO - Horizon 0.0s: accuracy=0.8925 +2026-04-09 02:17:15,346 - INFO - Horizon 0.1s: accuracy=0.9001 +2026-04-09 02:17:15,346 - INFO - Horizon 0.2s: accuracy=0.8996 +2026-04-09 02:17:15,346 - INFO - Horizon 0.3s: accuracy=0.8977 +2026-04-09 02:17:15,346 - INFO - Horizon 0.5s: accuracy=0.8901 +2026-04-09 02:17:15,347 - INFO - Horizon 1.0s: accuracy=0.8423 +2026-04-09 02:17:15,347 - INFO - Val Horizon 0.0s - Overall: loss=0.8959, accuracy=0.8153 +2026-04-09 02:17:15,347 - INFO - Horizon 0.0s - Overall F1: 0.8079, Precision: 0.8105, Recall: 0.8282 +2026-04-09 02:17:15,347 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:17:15,347 - INFO - Macro F1: 0.8079 +2026-04-09 02:17:15,347 - INFO - Weighted F1: 0.8127 +2026-04-09 02:17:15,347 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8869 +2026-04-09 02:17:15,347 - INFO - Horizon 0.0s - Steady F1: 0.8605, Precision: 0.8585, Recall: 0.8815 +2026-04-09 02:17:15,347 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:17:15,347 - INFO - Macro F1: 0.8605 +2026-04-09 02:17:15,347 - INFO - Weighted F1: 0.8868 +2026-04-09 02:17:15,348 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4850 +2026-04-09 02:17:15,348 - INFO - Horizon 0.0s - Transition F1: 0.5439, Precision: 0.5356, Recall: 0.5936 +2026-04-09 02:17:15,348 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:17:15,348 - INFO - Macro F1: 0.5439 +2026-04-09 02:17:15,348 - INFO - Weighted F1: 0.4634 +2026-04-09 02:17:15,348 - INFO - +2026-04-09 02:17:15,348 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8203 +2026-04-09 02:17:15,348 - INFO - Horizon 0.1s - Overall F1: 0.8137, Precision: 0.8232, Recall: 0.8363 +2026-04-09 02:17:15,348 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:17:15,348 - INFO - Macro F1: 0.8137 +2026-04-09 02:17:15,348 - INFO - Weighted F1: 0.8158 +2026-04-09 02:17:15,348 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8899 +2026-04-09 02:17:15,348 - INFO - Horizon 0.1s - Steady F1: 0.8664, Precision: 0.8680, Recall: 0.8883 +2026-04-09 02:17:15,348 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:17:15,348 - INFO - Macro F1: 0.8664 +2026-04-09 02:17:15,349 - INFO - Weighted F1: 0.8893 +2026-04-09 02:17:15,349 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5038 +2026-04-09 02:17:15,349 - INFO - Horizon 0.1s - Transition F1: 0.5428, Precision: 0.5477, Recall: 0.6037 +2026-04-09 02:17:15,349 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:17:15,349 - INFO - Macro F1: 0.5428 +2026-04-09 02:17:15,349 - INFO - Weighted F1: 0.4692 +2026-04-09 02:17:15,349 - INFO - +2026-04-09 02:17:15,349 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8241 +2026-04-09 02:17:15,349 - INFO - Horizon 0.2s - Overall F1: 0.8195, Precision: 0.8331, Recall: 0.8364 +2026-04-09 02:17:15,349 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:17:15,349 - INFO - Macro F1: 0.8195 +2026-04-09 02:17:15,349 - INFO - Weighted F1: 0.8168 +2026-04-09 02:17:15,349 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8910 +2026-04-09 02:17:15,350 - INFO - Horizon 0.2s - Steady F1: 0.8727, Precision: 0.8780, Recall: 0.8880 +2026-04-09 02:17:15,350 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:17:15,350 - INFO - Macro F1: 0.8727 +2026-04-09 02:17:15,350 - INFO - Weighted F1: 0.8887 +2026-04-09 02:17:15,350 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5122 +2026-04-09 02:17:15,350 - INFO - Horizon 0.2s - Transition F1: 0.5549, Precision: 0.5622, Recall: 0.6079 +2026-04-09 02:17:15,350 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:17:15,350 - INFO - Macro F1: 0.5549 +2026-04-09 02:17:15,350 - INFO - Weighted F1: 0.4710 +2026-04-09 02:17:15,350 - INFO - +2026-04-09 02:17:15,350 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8227 +2026-04-09 02:17:15,350 - INFO - Horizon 0.3s - Overall F1: 0.8225, Precision: 0.8378, Recall: 0.8345 +2026-04-09 02:17:15,350 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:17:15,350 - INFO - Macro F1: 0.8225 +2026-04-09 02:17:15,350 - INFO - Weighted F1: 0.8154 +2026-04-09 02:17:15,350 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8913 +2026-04-09 02:17:15,350 - INFO - Horizon 0.3s - Steady F1: 0.8742, Precision: 0.8791, Recall: 0.8847 +2026-04-09 02:17:15,351 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:17:15,351 - INFO - Macro F1: 0.8742 +2026-04-09 02:17:15,351 - INFO - Weighted F1: 0.8885 +2026-04-09 02:17:15,351 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5107 +2026-04-09 02:17:15,351 - INFO - Horizon 0.3s - Transition F1: 0.5548, Precision: 0.5791, Recall: 0.5993 +2026-04-09 02:17:15,351 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:17:15,351 - INFO - Macro F1: 0.5548 +2026-04-09 02:17:15,351 - INFO - Weighted F1: 0.4751 +2026-04-09 02:17:15,351 - INFO - +2026-04-09 02:17:15,351 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8270 +2026-04-09 02:17:15,351 - INFO - Horizon 0.5s - Overall F1: 0.8414, Precision: 0.8448, Recall: 0.8425 +2026-04-09 02:17:15,351 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:17:15,351 - INFO - Macro F1: 0.8414 +2026-04-09 02:17:15,351 - INFO - Weighted F1: 0.8246 +2026-04-09 02:17:15,351 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8936 +2026-04-09 02:17:15,351 - INFO - Horizon 0.5s - Steady F1: 0.8900, Precision: 0.8848, Recall: 0.8979 +2026-04-09 02:17:15,351 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:17:15,351 - INFO - Macro F1: 0.8900 +2026-04-09 02:17:15,351 - INFO - Weighted F1: 0.8931 +2026-04-09 02:17:15,351 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5183 +2026-04-09 02:17:15,351 - INFO - Horizon 0.5s - Transition F1: 0.5695, Precision: 0.5822, Recall: 0.5857 +2026-04-09 02:17:15,352 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:17:15,352 - INFO - Macro F1: 0.5695 +2026-04-09 02:17:15,352 - INFO - Weighted F1: 0.5112 +2026-04-09 02:17:15,352 - INFO - +2026-04-09 02:17:15,352 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7968 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Overall F1: 0.8048, Precision: 0.8096, Recall: 0.8166 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:17:15,352 - INFO - Macro F1: 0.8048 +2026-04-09 02:17:15,352 - INFO - Weighted F1: 0.7943 +2026-04-09 02:17:15,352 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8651 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Steady F1: 0.8470, Precision: 0.8437, Recall: 0.8616 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:17:15,352 - INFO - Macro F1: 0.8470 +2026-04-09 02:17:15,352 - INFO - Weighted F1: 0.8644 +2026-04-09 02:17:15,352 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4743 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Transition F1: 0.5346, Precision: 0.5653, Recall: 0.5485 +2026-04-09 02:17:15,352 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:17:15,352 - INFO - Macro F1: 0.5346 +2026-04-09 02:17:15,352 - INFO - Weighted F1: 0.4491 +2026-04-09 02:17:15,781 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_10.pt +2026-04-09 02:17:15,787 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,791 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:17:15,794 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,797 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,798 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:17:15,799 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,800 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,802 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:17:15,803 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,804 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,805 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:17:15,806 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,807 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,807 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:17:15,808 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,809 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,810 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:17:15,810 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,812 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,813 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:17:15,814 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,814 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,816 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:17:15,816 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,818 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,819 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:17:15,820 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,822 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,823 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:17:15,823 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,824 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,825 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:17:15,826 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,827 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,827 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:17:15,828 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,829 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,830 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:17:15,831 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,832 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,833 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:17:15,834 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,835 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,836 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:17:15,837 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,838 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_10.csv +2026-04-09 02:17:15,839 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:17:15,840 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:17:15,841 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_10.csv +2026-04-09 02:17:15,842 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:17:15,843 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:17:15,844 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_10.csv +2026-04-09 02:17:15,846 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:17:15,847 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:17:15,852 - INFO - Removed old checkpoint: checkpoint_epoch_9.pt +2026-04-09 02:17:16,230 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:17:16,251 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:17:16,417 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:17:16,421 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:17:16,423 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:17:16,426 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:17:16,430 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:17:16,433 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:17:16,435 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:17:16,436 - INFO - Epoch 11/50, Learning Rate: 0.000181 +2026-04-09 02:18:07,755 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:18:07,852 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:18:07,937 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:18:08,004 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:18:08,092 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:18:08,157 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:18:10,649 - INFO - Epoch 11/50: +2026-04-09 02:18:10,649 - INFO - Train: loss=0.7795, accuracy_overall=0.8835 +2026-04-09 02:18:10,650 - INFO - Horizon 0.0s: accuracy=0.8856 +2026-04-09 02:18:10,650 - INFO - Horizon 0.1s: accuracy=0.8968 +2026-04-09 02:18:10,650 - INFO - Horizon 0.2s: accuracy=0.8989 +2026-04-09 02:18:10,650 - INFO - Horizon 0.3s: accuracy=0.8997 +2026-04-09 02:18:10,650 - INFO - Horizon 0.5s: accuracy=0.8854 +2026-04-09 02:18:10,650 - INFO - Horizon 1.0s: accuracy=0.8348 +2026-04-09 02:18:10,650 - INFO - Val Horizon 0.0s - Overall: loss=0.9462, accuracy=0.8055 +2026-04-09 02:18:10,650 - INFO - Horizon 0.0s - Overall F1: 0.8037, Precision: 0.8108, Recall: 0.8157 +2026-04-09 02:18:10,650 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:18:10,650 - INFO - Macro F1: 0.8037 +2026-04-09 02:18:10,650 - INFO - Weighted F1: 0.8004 +2026-04-09 02:18:10,650 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8764 +2026-04-09 02:18:10,650 - INFO - Horizon 0.0s - Steady F1: 0.8552, Precision: 0.8562, Recall: 0.8720 +2026-04-09 02:18:10,650 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:18:10,650 - INFO - Macro F1: 0.8552 +2026-04-09 02:18:10,650 - INFO - Weighted F1: 0.8752 +2026-04-09 02:18:10,650 - INFO - Val Horizon 0.0s - Transition: accuracy=0.4780 +2026-04-09 02:18:10,651 - INFO - Horizon 0.0s - Transition F1: 0.5305, Precision: 0.5313, Recall: 0.5621 +2026-04-09 02:18:10,651 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:18:10,651 - INFO - Macro F1: 0.5305 +2026-04-09 02:18:10,651 - INFO - Weighted F1: 0.4575 +2026-04-09 02:18:10,651 - INFO - +2026-04-09 02:18:10,651 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8119 +2026-04-09 02:18:10,651 - INFO - Horizon 0.1s - Overall F1: 0.8123, Precision: 0.8169, Recall: 0.8245 +2026-04-09 02:18:10,651 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:18:10,651 - INFO - Macro F1: 0.8123 +2026-04-09 02:18:10,651 - INFO - Weighted F1: 0.8061 +2026-04-09 02:18:10,651 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8809 +2026-04-09 02:18:10,651 - INFO - Horizon 0.1s - Steady F1: 0.8633, Precision: 0.8605, Recall: 0.8799 +2026-04-09 02:18:10,651 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:18:10,651 - INFO - Macro F1: 0.8633 +2026-04-09 02:18:10,652 - INFO - Weighted F1: 0.8797 +2026-04-09 02:18:10,652 - INFO - Val Horizon 0.1s - Transition: accuracy=0.4981 +2026-04-09 02:18:10,652 - INFO - Horizon 0.1s - Transition F1: 0.5491, Precision: 0.5485, Recall: 0.5854 +2026-04-09 02:18:10,652 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:18:10,652 - INFO - Macro F1: 0.5491 +2026-04-09 02:18:10,652 - INFO - Weighted F1: 0.4753 +2026-04-09 02:18:10,652 - INFO - +2026-04-09 02:18:10,652 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8090 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Overall F1: 0.8134, Precision: 0.8239, Recall: 0.8188 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:18:10,652 - INFO - Macro F1: 0.8134 +2026-04-09 02:18:10,652 - INFO - Weighted F1: 0.8014 +2026-04-09 02:18:10,652 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8781 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Steady F1: 0.8645, Precision: 0.8671, Recall: 0.8717 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:18:10,652 - INFO - Macro F1: 0.8645 +2026-04-09 02:18:10,652 - INFO - Weighted F1: 0.8755 +2026-04-09 02:18:10,652 - INFO - Val Horizon 0.2s - Transition: accuracy=0.4865 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Transition F1: 0.5514, Precision: 0.5691, Recall: 0.5716 +2026-04-09 02:18:10,652 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:18:10,652 - INFO - Macro F1: 0.5514 +2026-04-09 02:18:10,652 - INFO - Weighted F1: 0.4610 +2026-04-09 02:18:10,653 - INFO - +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8035 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Overall F1: 0.8089, Precision: 0.8262, Recall: 0.8055 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:18:10,653 - INFO - Macro F1: 0.8089 +2026-04-09 02:18:10,653 - INFO - Weighted F1: 0.7938 +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8773 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Steady F1: 0.8625, Precision: 0.8718, Recall: 0.8606 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:18:10,653 - INFO - Macro F1: 0.8625 +2026-04-09 02:18:10,653 - INFO - Weighted F1: 0.8733 +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.3s - Transition: accuracy=0.4678 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Transition F1: 0.5433, Precision: 0.5752, Recall: 0.5518 +2026-04-09 02:18:10,653 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:18:10,653 - INFO - Macro F1: 0.5433 +2026-04-09 02:18:10,653 - INFO - Weighted F1: 0.4463 +2026-04-09 02:18:10,653 - INFO - +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.5s - Overall: accuracy=0.7945 +2026-04-09 02:18:10,653 - INFO - Horizon 0.5s - Overall F1: 0.8009, Precision: 0.8249, Recall: 0.7921 +2026-04-09 02:18:10,653 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:18:10,653 - INFO - Macro F1: 0.8009 +2026-04-09 02:18:10,653 - INFO - Weighted F1: 0.7832 +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8718 +2026-04-09 02:18:10,653 - INFO - Horizon 0.5s - Steady F1: 0.8545, Precision: 0.8722, Recall: 0.8493 +2026-04-09 02:18:10,653 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:18:10,653 - INFO - Macro F1: 0.8545 +2026-04-09 02:18:10,653 - INFO - Weighted F1: 0.8667 +2026-04-09 02:18:10,653 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4363 +2026-04-09 02:18:10,654 - INFO - Horizon 0.5s - Transition F1: 0.5062, Precision: 0.5626, Recall: 0.5084 +2026-04-09 02:18:10,654 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:18:10,654 - INFO - Macro F1: 0.5062 +2026-04-09 02:18:10,654 - INFO - Weighted F1: 0.4129 +2026-04-09 02:18:10,654 - INFO - +2026-04-09 02:18:10,654 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7719 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Overall F1: 0.7675, Precision: 0.7917, Recall: 0.7808 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:18:10,654 - INFO - Macro F1: 0.7675 +2026-04-09 02:18:10,654 - INFO - Weighted F1: 0.7541 +2026-04-09 02:18:10,654 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8546 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Steady F1: 0.8167, Precision: 0.8419, Recall: 0.8329 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:18:10,654 - INFO - Macro F1: 0.8167 +2026-04-09 02:18:10,654 - INFO - Weighted F1: 0.8444 +2026-04-09 02:18:10,654 - INFO - Val Horizon 1.0s - Transition: accuracy=0.3813 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Transition F1: 0.4762, Precision: 0.5344, Recall: 0.4951 +2026-04-09 02:18:10,654 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:18:10,654 - INFO - Macro F1: 0.4762 +2026-04-09 02:18:10,654 - INFO - Weighted F1: 0.3486 +2026-04-09 02:18:10,838 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_11.pt +2026-04-09 02:18:10,841 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,841 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,842 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,843 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,844 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,844 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,845 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,846 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,847 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,847 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,848 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,849 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,849 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,850 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,851 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,852 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_11.csv +2026-04-09 02:18:10,852 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_11.csv +2026-04-09 02:18:10,853 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_11.csv +2026-04-09 02:18:10,856 - INFO - Removed old checkpoint: checkpoint_epoch_10.pt +2026-04-09 02:18:10,857 - INFO - Epoch 12/50, Learning Rate: 0.000177 +2026-04-09 02:19:02,656 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:19:02,756 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:19:02,850 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:19:02,920 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:19:02,992 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:19:03,101 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:19:05,310 - INFO - Epoch 12/50: +2026-04-09 02:19:05,310 - INFO - Train: loss=0.7864, accuracy_overall=0.8799 +2026-04-09 02:19:05,310 - INFO - Horizon 0.0s: accuracy=0.8877 +2026-04-09 02:19:05,310 - INFO - Horizon 0.1s: accuracy=0.8911 +2026-04-09 02:19:05,311 - INFO - Horizon 0.2s: accuracy=0.8916 +2026-04-09 02:19:05,311 - INFO - Horizon 0.3s: accuracy=0.8855 +2026-04-09 02:19:05,311 - INFO - Horizon 0.5s: accuracy=0.8854 +2026-04-09 02:19:05,311 - INFO - Horizon 1.0s: accuracy=0.8383 +2026-04-09 02:19:05,311 - INFO - Val Horizon 0.0s - Overall: loss=0.8772, accuracy=0.8243 +2026-04-09 02:19:05,311 - INFO - Horizon 0.0s - Overall F1: 0.8244, Precision: 0.8195, Recall: 0.8350 +2026-04-09 02:19:05,311 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:19:05,311 - INFO - Macro F1: 0.8244 +2026-04-09 02:19:05,311 - INFO - Weighted F1: 0.8251 +2026-04-09 02:19:05,311 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8911 +2026-04-09 02:19:05,311 - INFO - Horizon 0.0s - Steady F1: 0.8722, Precision: 0.8653, Recall: 0.8827 +2026-04-09 02:19:05,311 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:19:05,311 - INFO - Macro F1: 0.8722 +2026-04-09 02:19:05,312 - INFO - Weighted F1: 0.8927 +2026-04-09 02:19:05,312 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5163 +2026-04-09 02:19:05,312 - INFO - Horizon 0.0s - Transition F1: 0.5643, Precision: 0.5479, Recall: 0.6058 +2026-04-09 02:19:05,312 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:19:05,312 - INFO - Macro F1: 0.5643 +2026-04-09 02:19:05,312 - INFO - Weighted F1: 0.5067 +2026-04-09 02:19:05,312 - INFO - +2026-04-09 02:19:05,312 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8284 +2026-04-09 02:19:05,312 - INFO - Horizon 0.1s - Overall F1: 0.8327, Precision: 0.8253, Recall: 0.8469 +2026-04-09 02:19:05,312 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:19:05,312 - INFO - Macro F1: 0.8327 +2026-04-09 02:19:05,312 - INFO - Weighted F1: 0.8306 +2026-04-09 02:19:05,312 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8976 +2026-04-09 02:19:05,312 - INFO - Horizon 0.1s - Steady F1: 0.8800, Precision: 0.8716, Recall: 0.8930 +2026-04-09 02:19:05,312 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:19:05,312 - INFO - Macro F1: 0.8800 +2026-04-09 02:19:05,313 - INFO - Weighted F1: 0.8993 +2026-04-09 02:19:05,313 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5139 +2026-04-09 02:19:05,313 - INFO - Horizon 0.1s - Transition F1: 0.5797, Precision: 0.5584, Recall: 0.6273 +2026-04-09 02:19:05,313 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:19:05,313 - INFO - Macro F1: 0.5797 +2026-04-09 02:19:05,313 - INFO - Weighted F1: 0.5064 +2026-04-09 02:19:05,313 - INFO - +2026-04-09 02:19:05,313 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8323 +2026-04-09 02:19:05,313 - INFO - Horizon 0.2s - Overall F1: 0.8401, Precision: 0.8328, Recall: 0.8532 +2026-04-09 02:19:05,313 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:19:05,313 - INFO - Macro F1: 0.8401 +2026-04-09 02:19:05,313 - INFO - Weighted F1: 0.8342 +2026-04-09 02:19:05,313 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8983 +2026-04-09 02:19:05,313 - INFO - Horizon 0.2s - Steady F1: 0.8851, Precision: 0.8760, Recall: 0.8979 +2026-04-09 02:19:05,313 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:19:05,313 - INFO - Macro F1: 0.8851 +2026-04-09 02:19:05,314 - INFO - Weighted F1: 0.8995 +2026-04-09 02:19:05,314 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5245 +2026-04-09 02:19:05,314 - INFO - Horizon 0.2s - Transition F1: 0.5916, Precision: 0.5792, Recall: 0.6252 +2026-04-09 02:19:05,314 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:19:05,314 - INFO - Macro F1: 0.5916 +2026-04-09 02:19:05,314 - INFO - Weighted F1: 0.5164 +2026-04-09 02:19:05,314 - INFO - +2026-04-09 02:19:05,314 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8359 +2026-04-09 02:19:05,314 - INFO - Horizon 0.3s - Overall F1: 0.8439, Precision: 0.8352, Recall: 0.8574 +2026-04-09 02:19:05,314 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:19:05,314 - INFO - Macro F1: 0.8439 +2026-04-09 02:19:05,314 - INFO - Weighted F1: 0.8369 +2026-04-09 02:19:05,314 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9027 +2026-04-09 02:19:05,314 - INFO - Horizon 0.3s - Steady F1: 0.8911, Precision: 0.8816, Recall: 0.9037 +2026-04-09 02:19:05,314 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:19:05,314 - INFO - Macro F1: 0.8911 +2026-04-09 02:19:05,314 - INFO - Weighted F1: 0.9033 +2026-04-09 02:19:05,314 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5322 +2026-04-09 02:19:05,315 - INFO - Horizon 0.3s - Transition F1: 0.6057, Precision: 0.5907, Recall: 0.6386 +2026-04-09 02:19:05,315 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:19:05,315 - INFO - Macro F1: 0.6057 +2026-04-09 02:19:05,315 - INFO - Weighted F1: 0.5247 +2026-04-09 02:19:05,315 - INFO - +2026-04-09 02:19:05,315 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8419 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Overall F1: 0.8514, Precision: 0.8449, Recall: 0.8601 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:19:05,315 - INFO - Macro F1: 0.8514 +2026-04-09 02:19:05,315 - INFO - Weighted F1: 0.8428 +2026-04-09 02:19:05,315 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9039 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Steady F1: 0.8989, Precision: 0.8879, Recall: 0.9118 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:19:05,315 - INFO - Macro F1: 0.8989 +2026-04-09 02:19:05,315 - INFO - Weighted F1: 0.9047 +2026-04-09 02:19:05,315 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5548 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Transition F1: 0.5923, Precision: 0.5972, Recall: 0.6008 +2026-04-09 02:19:05,315 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:19:05,316 - INFO - Macro F1: 0.5923 +2026-04-09 02:19:05,316 - INFO - Weighted F1: 0.5513 +2026-04-09 02:19:05,316 - INFO - +2026-04-09 02:19:05,316 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8108 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Overall F1: 0.8325, Precision: 0.8291, Recall: 0.8428 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:19:05,316 - INFO - Macro F1: 0.8325 +2026-04-09 02:19:05,316 - INFO - Weighted F1: 0.8141 +2026-04-09 02:19:05,316 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8779 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Steady F1: 0.8759, Precision: 0.8658, Recall: 0.8910 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:19:05,316 - INFO - Macro F1: 0.8759 +2026-04-09 02:19:05,316 - INFO - Weighted F1: 0.8800 +2026-04-09 02:19:05,316 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4938 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Transition F1: 0.5782, Precision: 0.5917, Recall: 0.5860 +2026-04-09 02:19:05,316 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:19:05,316 - INFO - Macro F1: 0.5782 +2026-04-09 02:19:05,316 - INFO - Weighted F1: 0.4848 +2026-04-09 02:19:05,555 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_12.pt +2026-04-09 02:19:05,557 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,558 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:19:05,559 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,560 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,561 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:19:05,561 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,562 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,563 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:19:05,564 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,564 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,565 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:19:05,566 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,567 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,567 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:19:05,568 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,568 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,569 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:19:05,570 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,571 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,571 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:19:05,572 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,573 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,573 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:19:05,574 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,574 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,575 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:19:05,576 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,577 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,577 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:19:05,578 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,579 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,579 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:19:05,580 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,581 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,581 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:19:05,582 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,583 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,584 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:19:05,584 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,585 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,586 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:19:05,586 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,587 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,588 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:19:05,588 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,589 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_12.csv +2026-04-09 02:19:05,590 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:19:05,591 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:19:05,592 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_12.csv +2026-04-09 02:19:05,592 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:19:05,593 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:19:05,594 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_12.csv +2026-04-09 02:19:05,595 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:19:05,595 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:19:05,605 - INFO - Removed old checkpoint: checkpoint_epoch_11.pt +2026-04-09 02:19:05,819 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:19:05,836 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:19:05,980 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:19:05,982 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:19:05,983 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:19:05,984 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:19:05,986 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:19:05,987 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:19:05,988 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:19:05,989 - INFO - Epoch 13/50, Learning Rate: 0.000173 +2026-04-09 02:19:56,895 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:19:56,956 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:19:57,012 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:19:57,067 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:19:57,120 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:19:57,174 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:19:59,033 - INFO - Epoch 13/50: +2026-04-09 02:19:59,033 - INFO - Train: loss=0.7705, accuracy_overall=0.8874 +2026-04-09 02:19:59,033 - INFO - Horizon 0.0s: accuracy=0.8914 +2026-04-09 02:19:59,034 - INFO - Horizon 0.1s: accuracy=0.8948 +2026-04-09 02:19:59,034 - INFO - Horizon 0.2s: accuracy=0.9002 +2026-04-09 02:19:59,034 - INFO - Horizon 0.3s: accuracy=0.8981 +2026-04-09 02:19:59,034 - INFO - Horizon 0.5s: accuracy=0.8959 +2026-04-09 02:19:59,034 - INFO - Horizon 1.0s: accuracy=0.8438 +2026-04-09 02:19:59,034 - INFO - Val Horizon 0.0s - Overall: loss=0.9037, accuracy=0.8119 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Overall F1: 0.8197, Precision: 0.8150, Recall: 0.8451 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:19:59,034 - INFO - Macro F1: 0.8197 +2026-04-09 02:19:59,034 - INFO - Weighted F1: 0.8156 +2026-04-09 02:19:59,034 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8765 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Steady F1: 0.8649, Precision: 0.8519, Recall: 0.8961 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:19:59,034 - INFO - Macro F1: 0.8649 +2026-04-09 02:19:59,034 - INFO - Weighted F1: 0.8801 +2026-04-09 02:19:59,034 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5137 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Transition F1: 0.5562, Precision: 0.5568, Recall: 0.6005 +2026-04-09 02:19:59,034 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:19:59,035 - INFO - Macro F1: 0.5562 +2026-04-09 02:19:59,035 - INFO - Weighted F1: 0.5011 +2026-04-09 02:19:59,035 - INFO - +2026-04-09 02:19:59,035 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8167 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Overall F1: 0.8262, Precision: 0.8229, Recall: 0.8536 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:19:59,035 - INFO - Macro F1: 0.8262 +2026-04-09 02:19:59,035 - INFO - Weighted F1: 0.8200 +2026-04-09 02:19:59,035 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8788 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Steady F1: 0.8688, Precision: 0.8574, Recall: 0.9025 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:19:59,035 - INFO - Macro F1: 0.8688 +2026-04-09 02:19:59,035 - INFO - Weighted F1: 0.8830 +2026-04-09 02:19:59,035 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5340 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Transition F1: 0.5685, Precision: 0.5700, Recall: 0.6202 +2026-04-09 02:19:59,035 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:19:59,035 - INFO - Macro F1: 0.5685 +2026-04-09 02:19:59,035 - INFO - Weighted F1: 0.5153 +2026-04-09 02:19:59,035 - INFO - +2026-04-09 02:19:59,036 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8207 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Overall F1: 0.8335, Precision: 0.8287, Recall: 0.8606 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:19:59,036 - INFO - Macro F1: 0.8335 +2026-04-09 02:19:59,036 - INFO - Weighted F1: 0.8223 +2026-04-09 02:19:59,036 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8779 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Steady F1: 0.8742, Precision: 0.8619, Recall: 0.9063 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:19:59,036 - INFO - Macro F1: 0.8742 +2026-04-09 02:19:59,036 - INFO - Weighted F1: 0.8811 +2026-04-09 02:19:59,036 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5541 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Transition F1: 0.5874, Precision: 0.5869, Recall: 0.6382 +2026-04-09 02:19:59,036 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:19:59,036 - INFO - Macro F1: 0.5874 +2026-04-09 02:19:59,036 - INFO - Weighted F1: 0.5318 +2026-04-09 02:19:59,036 - INFO - +2026-04-09 02:19:59,036 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8215 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Overall F1: 0.8375, Precision: 0.8305, Recall: 0.8663 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:19:59,037 - INFO - Macro F1: 0.8375 +2026-04-09 02:19:59,037 - INFO - Weighted F1: 0.8226 +2026-04-09 02:19:59,037 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8822 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Steady F1: 0.8790, Precision: 0.8652, Recall: 0.9108 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:19:59,037 - INFO - Macro F1: 0.8790 +2026-04-09 02:19:59,037 - INFO - Weighted F1: 0.8843 +2026-04-09 02:19:59,037 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5454 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Transition F1: 0.5882, Precision: 0.5842, Recall: 0.6492 +2026-04-09 02:19:59,037 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:19:59,037 - INFO - Macro F1: 0.5882 +2026-04-09 02:19:59,037 - INFO - Weighted F1: 0.5187 +2026-04-09 02:19:59,037 - INFO - +2026-04-09 02:19:59,037 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8290 +2026-04-09 02:19:59,037 - INFO - Horizon 0.5s - Overall F1: 0.8466, Precision: 0.8405, Recall: 0.8657 +2026-04-09 02:19:59,038 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:19:59,038 - INFO - Macro F1: 0.8466 +2026-04-09 02:19:59,038 - INFO - Weighted F1: 0.8284 +2026-04-09 02:19:59,038 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8859 +2026-04-09 02:19:59,038 - INFO - Horizon 0.5s - Steady F1: 0.8883, Precision: 0.8739, Recall: 0.9157 +2026-04-09 02:19:59,038 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:19:59,038 - INFO - Macro F1: 0.8883 +2026-04-09 02:19:59,038 - INFO - Weighted F1: 0.8871 +2026-04-09 02:19:59,038 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5650 +2026-04-09 02:19:59,038 - INFO - Horizon 0.5s - Transition F1: 0.5857, Precision: 0.5887, Recall: 0.6215 +2026-04-09 02:19:59,038 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:19:59,038 - INFO - Macro F1: 0.5857 +2026-04-09 02:19:59,038 - INFO - Weighted F1: 0.5500 +2026-04-09 02:19:59,038 - INFO - +2026-04-09 02:19:59,038 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7880 +2026-04-09 02:19:59,038 - INFO - Horizon 1.0s - Overall F1: 0.8003, Precision: 0.8065, Recall: 0.8046 +2026-04-09 02:19:59,038 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:19:59,039 - INFO - Macro F1: 0.8003 +2026-04-09 02:19:59,039 - INFO - Weighted F1: 0.7815 +2026-04-09 02:19:59,039 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8508 +2026-04-09 02:19:59,039 - INFO - Horizon 1.0s - Steady F1: 0.8374, Precision: 0.8344, Recall: 0.8465 +2026-04-09 02:19:59,039 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:19:59,039 - INFO - Macro F1: 0.8374 +2026-04-09 02:19:59,039 - INFO - Weighted F1: 0.8475 +2026-04-09 02:19:59,039 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4912 +2026-04-09 02:19:59,039 - INFO - Horizon 1.0s - Transition F1: 0.5456, Precision: 0.5905, Recall: 0.5607 +2026-04-09 02:19:59,039 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:19:59,039 - INFO - Macro F1: 0.5456 +2026-04-09 02:19:59,039 - INFO - Weighted F1: 0.4700 +2026-04-09 02:19:59,207 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_13.pt +2026-04-09 02:19:59,209 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,210 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,211 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,212 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,213 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,213 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,214 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,215 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,216 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,216 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,217 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,218 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,219 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,219 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,220 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,221 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_13.csv +2026-04-09 02:19:59,222 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_13.csv +2026-04-09 02:19:59,222 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_13.csv +2026-04-09 02:19:59,230 - INFO - Removed old checkpoint: checkpoint_epoch_12.pt +2026-04-09 02:19:59,231 - INFO - Epoch 14/50, Learning Rate: 0.000169 +2026-04-09 02:20:47,673 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:20:47,747 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:20:47,824 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:20:47,890 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:20:47,959 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:20:48,130 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:20:50,355 - INFO - Epoch 14/50: +2026-04-09 02:20:50,356 - INFO - Train: loss=0.7625, accuracy_overall=0.8912 +2026-04-09 02:20:50,356 - INFO - Horizon 0.0s: accuracy=0.8942 +2026-04-09 02:20:50,356 - INFO - Horizon 0.1s: accuracy=0.8999 +2026-04-09 02:20:50,356 - INFO - Horizon 0.2s: accuracy=0.9043 +2026-04-09 02:20:50,356 - INFO - Horizon 0.3s: accuracy=0.9029 +2026-04-09 02:20:50,356 - INFO - Horizon 0.5s: accuracy=0.8950 +2026-04-09 02:20:50,356 - INFO - Horizon 1.0s: accuracy=0.8512 +2026-04-09 02:20:50,356 - INFO - Val Horizon 0.0s - Overall: loss=0.8857, accuracy=0.8389 +2026-04-09 02:20:50,356 - INFO - Horizon 0.0s - Overall F1: 0.8408, Precision: 0.8359, Recall: 0.8486 +2026-04-09 02:20:50,356 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:20:50,356 - INFO - Macro F1: 0.8408 +2026-04-09 02:20:50,356 - INFO - Weighted F1: 0.8375 +2026-04-09 02:20:50,356 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9046 +2026-04-09 02:20:50,356 - INFO - Horizon 0.0s - Steady F1: 0.8921, Precision: 0.8844, Recall: 0.9034 +2026-04-09 02:20:50,356 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:20:50,356 - INFO - Macro F1: 0.8921 +2026-04-09 02:20:50,356 - INFO - Weighted F1: 0.9050 +2026-04-09 02:20:50,357 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5354 +2026-04-09 02:20:50,357 - INFO - Horizon 0.0s - Transition F1: 0.5841, Precision: 0.5704, Recall: 0.6094 +2026-04-09 02:20:50,357 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:20:50,357 - INFO - Macro F1: 0.5841 +2026-04-09 02:20:50,357 - INFO - Weighted F1: 0.5312 +2026-04-09 02:20:50,357 - INFO - +2026-04-09 02:20:50,357 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8403 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Overall F1: 0.8425, Precision: 0.8379, Recall: 0.8511 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:20:50,357 - INFO - Macro F1: 0.8425 +2026-04-09 02:20:50,357 - INFO - Weighted F1: 0.8382 +2026-04-09 02:20:50,357 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9057 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Steady F1: 0.8933, Precision: 0.8863, Recall: 0.9043 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:20:50,357 - INFO - Macro F1: 0.8933 +2026-04-09 02:20:50,357 - INFO - Weighted F1: 0.9055 +2026-04-09 02:20:50,357 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5429 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Transition F1: 0.5840, Precision: 0.5690, Recall: 0.6121 +2026-04-09 02:20:50,357 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:20:50,357 - INFO - Macro F1: 0.5840 +2026-04-09 02:20:50,357 - INFO - Weighted F1: 0.5367 +2026-04-09 02:20:50,357 - INFO - +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8349 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Overall F1: 0.8401, Precision: 0.8360, Recall: 0.8490 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:20:50,358 - INFO - Macro F1: 0.8401 +2026-04-09 02:20:50,358 - INFO - Weighted F1: 0.8316 +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8979 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Steady F1: 0.8874, Precision: 0.8822, Recall: 0.8962 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:20:50,358 - INFO - Macro F1: 0.8874 +2026-04-09 02:20:50,358 - INFO - Weighted F1: 0.8970 +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5412 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Transition F1: 0.5971, Precision: 0.5798, Recall: 0.6272 +2026-04-09 02:20:50,358 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:20:50,358 - INFO - Macro F1: 0.5971 +2026-04-09 02:20:50,358 - INFO - Weighted F1: 0.5324 +2026-04-09 02:20:50,358 - INFO - +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8319 +2026-04-09 02:20:50,358 - INFO - Horizon 0.3s - Overall F1: 0.8414, Precision: 0.8353, Recall: 0.8526 +2026-04-09 02:20:50,358 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:20:50,358 - INFO - Macro F1: 0.8414 +2026-04-09 02:20:50,358 - INFO - Weighted F1: 0.8296 +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8956 +2026-04-09 02:20:50,358 - INFO - Horizon 0.3s - Steady F1: 0.8857, Precision: 0.8813, Recall: 0.8940 +2026-04-09 02:20:50,358 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:20:50,358 - INFO - Macro F1: 0.8857 +2026-04-09 02:20:50,358 - INFO - Weighted F1: 0.8943 +2026-04-09 02:20:50,358 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5422 +2026-04-09 02:20:50,359 - INFO - Horizon 0.3s - Transition F1: 0.6026, Precision: 0.5897, Recall: 0.6282 +2026-04-09 02:20:50,359 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:20:50,359 - INFO - Macro F1: 0.6026 +2026-04-09 02:20:50,359 - INFO - Weighted F1: 0.5391 +2026-04-09 02:20:50,359 - INFO - +2026-04-09 02:20:50,359 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8239 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Overall F1: 0.8316, Precision: 0.8339, Recall: 0.8377 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:20:50,359 - INFO - Macro F1: 0.8316 +2026-04-09 02:20:50,359 - INFO - Weighted F1: 0.8199 +2026-04-09 02:20:50,359 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8891 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Steady F1: 0.8778, Precision: 0.8789, Recall: 0.8847 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:20:50,359 - INFO - Macro F1: 0.8778 +2026-04-09 02:20:50,359 - INFO - Weighted F1: 0.8871 +2026-04-09 02:20:50,359 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5215 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Transition F1: 0.5695, Precision: 0.5854, Recall: 0.5814 +2026-04-09 02:20:50,359 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:20:50,360 - INFO - Macro F1: 0.5695 +2026-04-09 02:20:50,360 - INFO - Weighted F1: 0.5210 +2026-04-09 02:20:50,360 - INFO - +2026-04-09 02:20:50,360 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7937 +2026-04-09 02:20:50,360 - INFO - Horizon 1.0s - Overall F1: 0.8009, Precision: 0.8115, Recall: 0.7989 +2026-04-09 02:20:50,360 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:20:50,360 - INFO - Macro F1: 0.8009 +2026-04-09 02:20:50,360 - INFO - Weighted F1: 0.7860 +2026-04-09 02:20:50,360 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8713 +2026-04-09 02:20:50,360 - INFO - Horizon 1.0s - Steady F1: 0.8487, Precision: 0.8597, Recall: 0.8489 +2026-04-09 02:20:50,360 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:20:50,360 - INFO - Macro F1: 0.8487 +2026-04-09 02:20:50,360 - INFO - Weighted F1: 0.8663 +2026-04-09 02:20:50,360 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4275 +2026-04-09 02:20:50,361 - INFO - Horizon 1.0s - Transition F1: 0.5213, Precision: 0.5688, Recall: 0.5127 +2026-04-09 02:20:50,361 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:20:50,361 - INFO - Macro F1: 0.5213 +2026-04-09 02:20:50,361 - INFO - Weighted F1: 0.4231 +2026-04-09 02:20:50,635 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_14.pt +2026-04-09 02:20:50,638 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,639 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:20:50,639 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,640 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,641 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:20:50,642 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,642 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,643 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:20:50,644 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,645 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,645 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:20:50,646 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,647 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,647 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:20:50,648 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,648 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,649 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:20:50,650 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,651 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,651 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:20:50,652 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,653 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,654 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:20:50,654 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,655 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,656 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:20:50,657 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,658 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,659 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:20:50,659 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,660 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,661 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:20:50,661 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,662 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,663 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:20:50,663 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,664 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,665 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:20:50,666 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,667 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,668 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:20:50,668 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,669 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,670 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:20:50,670 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,671 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_14.csv +2026-04-09 02:20:50,672 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:20:50,673 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:20:50,673 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_14.csv +2026-04-09 02:20:50,674 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:20:50,675 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:20:50,676 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_14.csv +2026-04-09 02:20:50,676 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:20:50,677 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:20:50,683 - INFO - Removed old checkpoint: checkpoint_epoch_13.pt +2026-04-09 02:20:50,911 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:20:50,928 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:20:51,066 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:20:51,068 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:20:51,069 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:20:51,070 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:20:51,071 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:20:51,072 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:20:51,073 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:20:51,073 - INFO - Epoch 15/50, Learning Rate: 0.000164 +2026-04-09 02:21:29,886 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:21:29,945 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:21:30,000 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:21:30,055 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:21:30,110 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:21:30,165 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:21:31,902 - INFO - Epoch 15/50: +2026-04-09 02:21:31,902 - INFO - Train: loss=0.7549, accuracy_overall=0.8942 +2026-04-09 02:21:31,902 - INFO - Horizon 0.0s: accuracy=0.8980 +2026-04-09 02:21:31,902 - INFO - Horizon 0.1s: accuracy=0.9057 +2026-04-09 02:21:31,903 - INFO - Horizon 0.2s: accuracy=0.9061 +2026-04-09 02:21:31,903 - INFO - Horizon 0.3s: accuracy=0.8999 +2026-04-09 02:21:31,903 - INFO - Horizon 0.5s: accuracy=0.8949 +2026-04-09 02:21:31,903 - INFO - Horizon 1.0s: accuracy=0.8605 +2026-04-09 02:21:31,903 - INFO - Val Horizon 0.0s - Overall: loss=0.8872, accuracy=0.8178 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Overall F1: 0.8245, Precision: 0.8121, Recall: 0.8477 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:21:31,903 - INFO - Macro F1: 0.8245 +2026-04-09 02:21:31,903 - INFO - Weighted F1: 0.8204 +2026-04-09 02:21:31,903 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8861 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Steady F1: 0.8726, Precision: 0.8563, Recall: 0.8980 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:21:31,903 - INFO - Macro F1: 0.8726 +2026-04-09 02:21:31,903 - INFO - Weighted F1: 0.8887 +2026-04-09 02:21:31,903 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5029 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Transition F1: 0.5692, Precision: 0.5510, Recall: 0.6155 +2026-04-09 02:21:31,903 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:21:31,903 - INFO - Macro F1: 0.5692 +2026-04-09 02:21:31,903 - INFO - Weighted F1: 0.4944 +2026-04-09 02:21:31,903 - INFO - +2026-04-09 02:21:31,903 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8297 +2026-04-09 02:21:31,903 - INFO - Horizon 0.1s - Overall F1: 0.8352, Precision: 0.8229, Recall: 0.8569 +2026-04-09 02:21:31,903 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:21:31,903 - INFO - Macro F1: 0.8352 +2026-04-09 02:21:31,903 - INFO - Weighted F1: 0.8310 +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8922 +2026-04-09 02:21:31,904 - INFO - Horizon 0.1s - Steady F1: 0.8791, Precision: 0.8625, Recall: 0.9030 +2026-04-09 02:21:31,904 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:21:31,904 - INFO - Macro F1: 0.8791 +2026-04-09 02:21:31,904 - INFO - Weighted F1: 0.8945 +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5454 +2026-04-09 02:21:31,904 - INFO - Horizon 0.1s - Transition F1: 0.5935, Precision: 0.5797, Recall: 0.6344 +2026-04-09 02:21:31,904 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:21:31,904 - INFO - Macro F1: 0.5935 +2026-04-09 02:21:31,904 - INFO - Weighted F1: 0.5370 +2026-04-09 02:21:31,904 - INFO - +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8326 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Overall F1: 0.8412, Precision: 0.8280, Recall: 0.8613 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:21:31,904 - INFO - Macro F1: 0.8412 +2026-04-09 02:21:31,904 - INFO - Weighted F1: 0.8320 +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8906 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Steady F1: 0.8840, Precision: 0.8680, Recall: 0.9056 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:21:31,904 - INFO - Macro F1: 0.8840 +2026-04-09 02:21:31,904 - INFO - Weighted F1: 0.8918 +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5624 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Transition F1: 0.6051, Precision: 0.5862, Recall: 0.6472 +2026-04-09 02:21:31,904 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:21:31,904 - INFO - Macro F1: 0.6051 +2026-04-09 02:21:31,904 - INFO - Weighted F1: 0.5529 +2026-04-09 02:21:31,904 - INFO - +2026-04-09 02:21:31,904 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8311 +2026-04-09 02:21:31,904 - INFO - Horizon 0.3s - Overall F1: 0.8441, Precision: 0.8318, Recall: 0.8620 +2026-04-09 02:21:31,904 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.8441 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.8304 +2026-04-09 02:21:31,905 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8905 +2026-04-09 02:21:31,905 - INFO - Horizon 0.3s - Steady F1: 0.8862, Precision: 0.8723, Recall: 0.9043 +2026-04-09 02:21:31,905 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.8862 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.8910 +2026-04-09 02:21:31,905 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5612 +2026-04-09 02:21:31,905 - INFO - Horizon 0.3s - Transition F1: 0.6159, Precision: 0.5962, Recall: 0.6598 +2026-04-09 02:21:31,905 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.6159 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.5522 +2026-04-09 02:21:31,905 - INFO - +2026-04-09 02:21:31,905 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8258 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Overall F1: 0.8400, Precision: 0.8376, Recall: 0.8473 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.8400 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.8228 +2026-04-09 02:21:31,905 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8893 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Steady F1: 0.8865, Precision: 0.8776, Recall: 0.8982 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.8865 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.8891 +2026-04-09 02:21:31,905 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5311 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Transition F1: 0.5747, Precision: 0.5891, Recall: 0.6020 +2026-04-09 02:21:31,905 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:21:31,905 - INFO - Macro F1: 0.5747 +2026-04-09 02:21:31,905 - INFO - Weighted F1: 0.5260 +2026-04-09 02:21:31,906 - INFO - +2026-04-09 02:21:31,906 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7974 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Overall F1: 0.8123, Precision: 0.8098, Recall: 0.8220 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:21:31,906 - INFO - Macro F1: 0.8123 +2026-04-09 02:21:31,906 - INFO - Weighted F1: 0.7932 +2026-04-09 02:21:31,906 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8696 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Steady F1: 0.8564, Precision: 0.8542, Recall: 0.8662 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:21:31,906 - INFO - Macro F1: 0.8564 +2026-04-09 02:21:31,906 - INFO - Weighted F1: 0.8672 +2026-04-09 02:21:31,906 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4561 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Transition F1: 0.5609, Precision: 0.5715, Recall: 0.5781 +2026-04-09 02:21:31,906 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:21:31,906 - INFO - Macro F1: 0.5609 +2026-04-09 02:21:31,906 - INFO - Weighted F1: 0.4508 +2026-04-09 02:21:32,023 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_15.pt +2026-04-09 02:21:32,025 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,025 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,026 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,027 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,028 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,028 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,029 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,030 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,031 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,031 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,032 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,033 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,033 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,034 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,035 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,036 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_15.csv +2026-04-09 02:21:32,036 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_15.csv +2026-04-09 02:21:32,037 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_15.csv +2026-04-09 02:21:32,039 - INFO - Removed old checkpoint: checkpoint_epoch_14.pt +2026-04-09 02:21:32,039 - INFO - Epoch 16/50, Learning Rate: 0.000159 +2026-04-09 02:22:17,530 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:22:17,609 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:22:17,684 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:22:17,756 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:22:17,831 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:22:17,901 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:22:19,974 - INFO - Epoch 16/50: +2026-04-09 02:22:19,975 - INFO - Train: loss=0.7525, accuracy_overall=0.8955 +2026-04-09 02:22:19,975 - INFO - Horizon 0.0s: accuracy=0.8967 +2026-04-09 02:22:19,975 - INFO - Horizon 0.1s: accuracy=0.8988 +2026-04-09 02:22:19,975 - INFO - Horizon 0.2s: accuracy=0.9073 +2026-04-09 02:22:19,975 - INFO - Horizon 0.3s: accuracy=0.9095 +2026-04-09 02:22:19,975 - INFO - Horizon 0.5s: accuracy=0.9011 +2026-04-09 02:22:19,975 - INFO - Horizon 1.0s: accuracy=0.8594 +2026-04-09 02:22:19,975 - INFO - Val Horizon 0.0s - Overall: loss=0.8938, accuracy=0.8227 +2026-04-09 02:22:19,975 - INFO - Horizon 0.0s - Overall F1: 0.8214, Precision: 0.8240, Recall: 0.8358 +2026-04-09 02:22:19,975 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:22:19,975 - INFO - Macro F1: 0.8214 +2026-04-09 02:22:19,975 - INFO - Weighted F1: 0.8204 +2026-04-09 02:22:19,975 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8908 +2026-04-09 02:22:19,975 - INFO - Horizon 0.0s - Steady F1: 0.8719, Precision: 0.8708, Recall: 0.8921 +2026-04-09 02:22:19,975 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:22:19,975 - INFO - Macro F1: 0.8719 +2026-04-09 02:22:19,976 - INFO - Weighted F1: 0.8913 +2026-04-09 02:22:19,976 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5086 +2026-04-09 02:22:19,976 - INFO - Horizon 0.0s - Transition F1: 0.5626, Precision: 0.5582, Recall: 0.5997 +2026-04-09 02:22:19,976 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:22:19,976 - INFO - Macro F1: 0.5626 +2026-04-09 02:22:19,976 - INFO - Weighted F1: 0.4904 +2026-04-09 02:22:19,976 - INFO - +2026-04-09 02:22:19,976 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8280 +2026-04-09 02:22:19,976 - INFO - Horizon 0.1s - Overall F1: 0.8273, Precision: 0.8276, Recall: 0.8452 +2026-04-09 02:22:19,976 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:22:19,976 - INFO - Macro F1: 0.8273 +2026-04-09 02:22:19,976 - INFO - Weighted F1: 0.8249 +2026-04-09 02:22:19,976 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8941 +2026-04-09 02:22:19,976 - INFO - Horizon 0.1s - Steady F1: 0.8758, Precision: 0.8734, Recall: 0.8974 +2026-04-09 02:22:19,976 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:22:19,976 - INFO - Macro F1: 0.8758 +2026-04-09 02:22:19,977 - INFO - Weighted F1: 0.8940 +2026-04-09 02:22:19,977 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5271 +2026-04-09 02:22:19,977 - INFO - Horizon 0.1s - Transition F1: 0.5798, Precision: 0.5701, Recall: 0.6253 +2026-04-09 02:22:19,977 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:22:19,977 - INFO - Macro F1: 0.5798 +2026-04-09 02:22:19,977 - INFO - Weighted F1: 0.5077 +2026-04-09 02:22:19,977 - INFO - +2026-04-09 02:22:19,977 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8297 +2026-04-09 02:22:19,977 - INFO - Horizon 0.2s - Overall F1: 0.8328, Precision: 0.8296, Recall: 0.8492 +2026-04-09 02:22:19,977 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:22:19,977 - INFO - Macro F1: 0.8328 +2026-04-09 02:22:19,977 - INFO - Weighted F1: 0.8269 +2026-04-09 02:22:19,977 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8922 +2026-04-09 02:22:19,977 - INFO - Horizon 0.2s - Steady F1: 0.8784, Precision: 0.8727, Recall: 0.8967 +2026-04-09 02:22:19,977 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:22:19,977 - INFO - Macro F1: 0.8784 +2026-04-09 02:22:19,978 - INFO - Weighted F1: 0.8917 +2026-04-09 02:22:19,978 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5380 +2026-04-09 02:22:19,978 - INFO - Horizon 0.2s - Transition F1: 0.5937, Precision: 0.5802, Recall: 0.6384 +2026-04-09 02:22:19,978 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:22:19,978 - INFO - Macro F1: 0.5937 +2026-04-09 02:22:19,978 - INFO - Weighted F1: 0.5199 +2026-04-09 02:22:19,978 - INFO - +2026-04-09 02:22:19,978 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8274 +2026-04-09 02:22:19,978 - INFO - Horizon 0.3s - Overall F1: 0.8341, Precision: 0.8288, Recall: 0.8487 +2026-04-09 02:22:19,978 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:22:19,978 - INFO - Macro F1: 0.8341 +2026-04-09 02:22:19,978 - INFO - Weighted F1: 0.8258 +2026-04-09 02:22:19,978 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8928 +2026-04-09 02:22:19,978 - INFO - Horizon 0.3s - Steady F1: 0.8791, Precision: 0.8711, Recall: 0.8950 +2026-04-09 02:22:19,978 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:22:19,978 - INFO - Macro F1: 0.8791 +2026-04-09 02:22:19,978 - INFO - Weighted F1: 0.8924 +2026-04-09 02:22:19,979 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5296 +2026-04-09 02:22:19,979 - INFO - Horizon 0.3s - Transition F1: 0.5908, Precision: 0.5773, Recall: 0.6322 +2026-04-09 02:22:19,979 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:22:19,979 - INFO - Macro F1: 0.5908 +2026-04-09 02:22:19,979 - INFO - Weighted F1: 0.5162 +2026-04-09 02:22:19,979 - INFO - +2026-04-09 02:22:19,979 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8222 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Overall F1: 0.8289, Precision: 0.8324, Recall: 0.8308 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:22:19,979 - INFO - Macro F1: 0.8289 +2026-04-09 02:22:19,979 - INFO - Weighted F1: 0.8177 +2026-04-09 02:22:19,979 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8910 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Steady F1: 0.8778, Precision: 0.8769, Recall: 0.8826 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:22:19,979 - INFO - Macro F1: 0.8778 +2026-04-09 02:22:19,979 - INFO - Weighted F1: 0.8896 +2026-04-09 02:22:19,979 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5029 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Transition F1: 0.5666, Precision: 0.5677, Recall: 0.5879 +2026-04-09 02:22:19,979 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:22:19,979 - INFO - Macro F1: 0.5666 +2026-04-09 02:22:19,979 - INFO - Weighted F1: 0.4943 +2026-04-09 02:22:19,979 - INFO - +2026-04-09 02:22:19,979 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7998 +2026-04-09 02:22:19,979 - INFO - Horizon 1.0s - Overall F1: 0.8110, Precision: 0.8209, Recall: 0.8188 +2026-04-09 02:22:19,979 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:22:19,980 - INFO - Macro F1: 0.8110 +2026-04-09 02:22:19,980 - INFO - Weighted F1: 0.7970 +2026-04-09 02:22:19,980 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8717 +2026-04-09 02:22:19,980 - INFO - Horizon 1.0s - Steady F1: 0.8538, Precision: 0.8583, Recall: 0.8666 +2026-04-09 02:22:19,980 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:22:19,980 - INFO - Macro F1: 0.8538 +2026-04-09 02:22:19,980 - INFO - Weighted F1: 0.8701 +2026-04-09 02:22:19,980 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4600 +2026-04-09 02:22:19,980 - INFO - Horizon 1.0s - Transition F1: 0.5470, Precision: 0.5893, Recall: 0.5553 +2026-04-09 02:22:19,980 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:22:19,980 - INFO - Macro F1: 0.5470 +2026-04-09 02:22:19,980 - INFO - Weighted F1: 0.4436 +2026-04-09 02:22:20,243 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_16.pt +2026-04-09 02:22:20,246 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,247 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,248 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,249 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,249 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,250 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,251 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,252 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,252 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,253 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,254 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,255 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,255 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,256 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,257 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,258 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_16.csv +2026-04-09 02:22:20,259 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_16.csv +2026-04-09 02:22:20,260 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_16.csv +2026-04-09 02:22:20,270 - INFO - Removed old checkpoint: checkpoint_epoch_15.pt +2026-04-09 02:22:20,272 - INFO - Epoch 17/50, Learning Rate: 0.000154 +2026-04-09 02:23:13,405 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:23:13,474 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:23:13,541 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:23:13,606 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:23:13,676 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:23:13,743 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:23:15,705 - INFO - Epoch 17/50: +2026-04-09 02:23:15,705 - INFO - Train: loss=0.7522, accuracy_overall=0.8951 +2026-04-09 02:23:15,705 - INFO - Horizon 0.0s: accuracy=0.8996 +2026-04-09 02:23:15,705 - INFO - Horizon 0.1s: accuracy=0.9044 +2026-04-09 02:23:15,705 - INFO - Horizon 0.2s: accuracy=0.9085 +2026-04-09 02:23:15,706 - INFO - Horizon 0.3s: accuracy=0.9019 +2026-04-09 02:23:15,706 - INFO - Horizon 0.5s: accuracy=0.8929 +2026-04-09 02:23:15,706 - INFO - Horizon 1.0s: accuracy=0.8632 +2026-04-09 02:23:15,706 - INFO - Val Horizon 0.0s - Overall: loss=0.8874, accuracy=0.8286 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Overall F1: 0.8240, Precision: 0.8364, Recall: 0.8372 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:23:15,706 - INFO - Macro F1: 0.8240 +2026-04-09 02:23:15,706 - INFO - Weighted F1: 0.8260 +2026-04-09 02:23:15,706 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8970 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Steady F1: 0.8716, Precision: 0.8830, Recall: 0.8894 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:23:15,706 - INFO - Macro F1: 0.8716 +2026-04-09 02:23:15,706 - INFO - Weighted F1: 0.8972 +2026-04-09 02:23:15,706 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5131 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Transition F1: 0.5627, Precision: 0.5654, Recall: 0.6054 +2026-04-09 02:23:15,706 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:23:15,706 - INFO - Macro F1: 0.5627 +2026-04-09 02:23:15,706 - INFO - Weighted F1: 0.4930 +2026-04-09 02:23:15,706 - INFO - +2026-04-09 02:23:15,706 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8328 +2026-04-09 02:23:15,706 - INFO - Horizon 0.1s - Overall F1: 0.8286, Precision: 0.8437, Recall: 0.8415 +2026-04-09 02:23:15,707 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:23:15,707 - INFO - Macro F1: 0.8286 +2026-04-09 02:23:15,707 - INFO - Weighted F1: 0.8291 +2026-04-09 02:23:15,707 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9006 +2026-04-09 02:23:15,707 - INFO - Horizon 0.1s - Steady F1: 0.8765, Precision: 0.8881, Recall: 0.8937 +2026-04-09 02:23:15,707 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:23:15,707 - INFO - Macro F1: 0.8765 +2026-04-09 02:23:15,707 - INFO - Weighted F1: 0.9002 +2026-04-09 02:23:15,707 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5246 +2026-04-09 02:23:15,707 - INFO - Horizon 0.1s - Transition F1: 0.5694, Precision: 0.5778, Recall: 0.6091 +2026-04-09 02:23:15,707 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:23:15,707 - INFO - Macro F1: 0.5694 +2026-04-09 02:23:15,707 - INFO - Weighted F1: 0.4989 +2026-04-09 02:23:15,707 - INFO - +2026-04-09 02:23:15,707 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8364 +2026-04-09 02:23:15,707 - INFO - Horizon 0.2s - Overall F1: 0.8367, Precision: 0.8487, Recall: 0.8475 +2026-04-09 02:23:15,707 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:23:15,707 - INFO - Macro F1: 0.8367 +2026-04-09 02:23:15,707 - INFO - Weighted F1: 0.8324 +2026-04-09 02:23:15,707 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9009 +2026-04-09 02:23:15,707 - INFO - Horizon 0.2s - Steady F1: 0.8835, Precision: 0.8881, Recall: 0.8974 +2026-04-09 02:23:15,707 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:23:15,707 - INFO - Macro F1: 0.8835 +2026-04-09 02:23:15,707 - INFO - Weighted F1: 0.9001 +2026-04-09 02:23:15,707 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5354 +2026-04-09 02:23:15,708 - INFO - Horizon 0.2s - Transition F1: 0.5857, Precision: 0.6032, Recall: 0.6174 +2026-04-09 02:23:15,708 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:23:15,708 - INFO - Macro F1: 0.5857 +2026-04-09 02:23:15,708 - INFO - Weighted F1: 0.5104 +2026-04-09 02:23:15,708 - INFO - +2026-04-09 02:23:15,708 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8383 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Overall F1: 0.8430, Precision: 0.8529, Recall: 0.8499 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:23:15,708 - INFO - Macro F1: 0.8430 +2026-04-09 02:23:15,708 - INFO - Weighted F1: 0.8348 +2026-04-09 02:23:15,708 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9034 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Steady F1: 0.8882, Precision: 0.8923, Recall: 0.8973 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:23:15,708 - INFO - Macro F1: 0.8882 +2026-04-09 02:23:15,708 - INFO - Weighted F1: 0.9022 +2026-04-09 02:23:15,708 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5422 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Transition F1: 0.5998, Precision: 0.6141, Recall: 0.6253 +2026-04-09 02:23:15,708 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:23:15,708 - INFO - Macro F1: 0.5998 +2026-04-09 02:23:15,708 - INFO - Weighted F1: 0.5236 +2026-04-09 02:23:15,709 - INFO - +2026-04-09 02:23:15,709 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8305 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Overall F1: 0.8366, Precision: 0.8552, Recall: 0.8288 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:23:15,709 - INFO - Macro F1: 0.8366 +2026-04-09 02:23:15,709 - INFO - Weighted F1: 0.8261 +2026-04-09 02:23:15,709 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8971 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Steady F1: 0.8843, Precision: 0.8922, Recall: 0.8847 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:23:15,709 - INFO - Macro F1: 0.8843 +2026-04-09 02:23:15,709 - INFO - Weighted F1: 0.8956 +2026-04-09 02:23:15,709 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5215 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Transition F1: 0.5514, Precision: 0.6068, Recall: 0.5500 +2026-04-09 02:23:15,709 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:23:15,709 - INFO - Macro F1: 0.5514 +2026-04-09 02:23:15,709 - INFO - Weighted F1: 0.5104 +2026-04-09 02:23:15,709 - INFO - +2026-04-09 02:23:15,709 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8007 +2026-04-09 02:23:15,709 - INFO - Horizon 1.0s - Overall F1: 0.8103, Precision: 0.8262, Recall: 0.8051 +2026-04-09 02:23:15,709 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:23:15,709 - INFO - Macro F1: 0.8103 +2026-04-09 02:23:15,709 - INFO - Weighted F1: 0.7947 +2026-04-09 02:23:15,709 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8715 +2026-04-09 02:23:15,709 - INFO - Horizon 1.0s - Steady F1: 0.8541, Precision: 0.8628, Recall: 0.8532 +2026-04-09 02:23:15,709 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:23:15,709 - INFO - Macro F1: 0.8541 +2026-04-09 02:23:15,709 - INFO - Weighted F1: 0.8680 +2026-04-09 02:23:15,710 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4658 +2026-04-09 02:23:15,710 - INFO - Horizon 1.0s - Transition F1: 0.5297, Precision: 0.5858, Recall: 0.5264 +2026-04-09 02:23:15,710 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:23:15,710 - INFO - Macro F1: 0.5297 +2026-04-09 02:23:15,710 - INFO - Weighted F1: 0.4505 +2026-04-09 02:23:15,910 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_17.pt +2026-04-09 02:23:15,913 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,914 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,915 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,916 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,917 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,918 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,918 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,919 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,920 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,921 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,921 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,922 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,923 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,924 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,925 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,926 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_17.csv +2026-04-09 02:23:15,926 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_17.csv +2026-04-09 02:23:15,927 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_17.csv +2026-04-09 02:23:15,939 - INFO - Removed old checkpoint: checkpoint_epoch_16.pt +2026-04-09 02:23:15,940 - INFO - Epoch 18/50, Learning Rate: 0.000148 +2026-04-09 02:24:05,354 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:24:05,420 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:24:05,478 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:24:05,538 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:24:05,602 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:24:05,664 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:24:08,229 - INFO - Epoch 18/50: +2026-04-09 02:24:08,230 - INFO - Train: loss=0.7438, accuracy_overall=0.8994 +2026-04-09 02:24:08,230 - INFO - Horizon 0.0s: accuracy=0.9040 +2026-04-09 02:24:08,230 - INFO - Horizon 0.1s: accuracy=0.9109 +2026-04-09 02:24:08,230 - INFO - Horizon 0.2s: accuracy=0.9135 +2026-04-09 02:24:08,231 - INFO - Horizon 0.3s: accuracy=0.9127 +2026-04-09 02:24:08,231 - INFO - Horizon 0.5s: accuracy=0.9034 +2026-04-09 02:24:08,231 - INFO - Horizon 1.0s: accuracy=0.8519 +2026-04-09 02:24:08,231 - INFO - Val Horizon 0.0s - Overall: loss=0.9170, accuracy=0.8200 +2026-04-09 02:24:08,231 - INFO - Horizon 0.0s - Overall F1: 0.8190, Precision: 0.8203, Recall: 0.8371 +2026-04-09 02:24:08,231 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:24:08,231 - INFO - Macro F1: 0.8190 +2026-04-09 02:24:08,231 - INFO - Weighted F1: 0.8163 +2026-04-09 02:24:08,231 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8870 +2026-04-09 02:24:08,231 - INFO - Horizon 0.0s - Steady F1: 0.8699, Precision: 0.8698, Recall: 0.8923 +2026-04-09 02:24:08,232 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:24:08,232 - INFO - Macro F1: 0.8699 +2026-04-09 02:24:08,232 - INFO - Weighted F1: 0.8864 +2026-04-09 02:24:08,232 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5105 +2026-04-09 02:24:08,232 - INFO - Horizon 0.0s - Transition F1: 0.5607, Precision: 0.5494, Recall: 0.5958 +2026-04-09 02:24:08,232 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:24:08,232 - INFO - Macro F1: 0.5607 +2026-04-09 02:24:08,232 - INFO - Weighted F1: 0.4970 +2026-04-09 02:24:08,232 - INFO - +2026-04-09 02:24:08,232 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8261 +2026-04-09 02:24:08,232 - INFO - Horizon 0.1s - Overall F1: 0.8283, Precision: 0.8287, Recall: 0.8462 +2026-04-09 02:24:08,232 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:24:08,232 - INFO - Macro F1: 0.8283 +2026-04-09 02:24:08,232 - INFO - Weighted F1: 0.8228 +2026-04-09 02:24:08,233 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8922 +2026-04-09 02:24:08,233 - INFO - Horizon 0.1s - Steady F1: 0.8803, Precision: 0.8782, Recall: 0.9019 +2026-04-09 02:24:08,233 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:24:08,233 - INFO - Macro F1: 0.8803 +2026-04-09 02:24:08,233 - INFO - Weighted F1: 0.8914 +2026-04-09 02:24:08,233 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5259 +2026-04-09 02:24:08,233 - INFO - Horizon 0.1s - Transition F1: 0.5758, Precision: 0.5670, Recall: 0.6125 +2026-04-09 02:24:08,233 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:24:08,233 - INFO - Macro F1: 0.5758 +2026-04-09 02:24:08,234 - INFO - Weighted F1: 0.5117 +2026-04-09 02:24:08,234 - INFO - +2026-04-09 02:24:08,234 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8258 +2026-04-09 02:24:08,234 - INFO - Horizon 0.2s - Overall F1: 0.8318, Precision: 0.8306, Recall: 0.8496 +2026-04-09 02:24:08,234 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:24:08,234 - INFO - Macro F1: 0.8318 +2026-04-09 02:24:08,234 - INFO - Weighted F1: 0.8212 +2026-04-09 02:24:08,234 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8896 +2026-04-09 02:24:08,235 - INFO - Horizon 0.2s - Steady F1: 0.8817, Precision: 0.8795, Recall: 0.8988 +2026-04-09 02:24:08,235 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:24:08,235 - INFO - Macro F1: 0.8817 +2026-04-09 02:24:08,235 - INFO - Weighted F1: 0.8878 +2026-04-09 02:24:08,235 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5283 +2026-04-09 02:24:08,235 - INFO - Horizon 0.2s - Transition F1: 0.5905, Precision: 0.5793, Recall: 0.6310 +2026-04-09 02:24:08,235 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:24:08,235 - INFO - Macro F1: 0.5905 +2026-04-09 02:24:08,235 - INFO - Weighted F1: 0.5130 +2026-04-09 02:24:08,235 - INFO - +2026-04-09 02:24:08,235 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8209 +2026-04-09 02:24:08,235 - INFO - Horizon 0.3s - Overall F1: 0.8288, Precision: 0.8300, Recall: 0.8380 +2026-04-09 02:24:08,235 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:24:08,235 - INFO - Macro F1: 0.8288 +2026-04-09 02:24:08,235 - INFO - Weighted F1: 0.8157 +2026-04-09 02:24:08,235 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8872 +2026-04-09 02:24:08,235 - INFO - Horizon 0.3s - Steady F1: 0.8768, Precision: 0.8795, Recall: 0.8844 +2026-04-09 02:24:08,235 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:24:08,235 - INFO - Macro F1: 0.8768 +2026-04-09 02:24:08,235 - INFO - Weighted F1: 0.8846 +2026-04-09 02:24:08,236 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5195 +2026-04-09 02:24:08,236 - INFO - Horizon 0.3s - Transition F1: 0.5949, Precision: 0.5850, Recall: 0.6282 +2026-04-09 02:24:08,236 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:24:08,236 - INFO - Macro F1: 0.5949 +2026-04-09 02:24:08,236 - INFO - Weighted F1: 0.5094 +2026-04-09 02:24:08,236 - INFO - +2026-04-09 02:24:08,236 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8094 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Overall F1: 0.8187, Precision: 0.8354, Recall: 0.8158 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:24:08,236 - INFO - Macro F1: 0.8187 +2026-04-09 02:24:08,236 - INFO - Weighted F1: 0.8011 +2026-04-09 02:24:08,236 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8809 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Steady F1: 0.8708, Precision: 0.8847, Recall: 0.8684 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:24:08,236 - INFO - Macro F1: 0.8708 +2026-04-09 02:24:08,236 - INFO - Weighted F1: 0.8773 +2026-04-09 02:24:08,236 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4779 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Transition F1: 0.5530, Precision: 0.5762, Recall: 0.5663 +2026-04-09 02:24:08,236 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:24:08,236 - INFO - Macro F1: 0.5530 +2026-04-09 02:24:08,236 - INFO - Weighted F1: 0.4658 +2026-04-09 02:24:08,237 - INFO - +2026-04-09 02:24:08,237 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7864 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Overall F1: 0.7939, Precision: 0.8097, Recall: 0.7948 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:24:08,237 - INFO - Macro F1: 0.7939 +2026-04-09 02:24:08,237 - INFO - Weighted F1: 0.7750 +2026-04-09 02:24:08,237 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8614 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Steady F1: 0.8402, Precision: 0.8579, Recall: 0.8431 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:24:08,237 - INFO - Macro F1: 0.8402 +2026-04-09 02:24:08,237 - INFO - Weighted F1: 0.8550 +2026-04-09 02:24:08,237 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4320 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Transition F1: 0.5270, Precision: 0.5568, Recall: 0.5317 +2026-04-09 02:24:08,237 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:24:08,237 - INFO - Macro F1: 0.5270 +2026-04-09 02:24:08,237 - INFO - Weighted F1: 0.4209 +2026-04-09 02:24:08,565 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_18.pt +2026-04-09 02:24:08,569 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,570 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,571 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,572 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,572 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,573 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,574 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,575 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,576 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,576 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,577 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,578 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,579 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,579 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,580 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,581 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_18.csv +2026-04-09 02:24:08,582 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_18.csv +2026-04-09 02:24:08,583 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_18.csv +2026-04-09 02:24:08,593 - INFO - Removed old checkpoint: checkpoint_epoch_17.pt +2026-04-09 02:24:08,594 - INFO - Epoch 19/50, Learning Rate: 0.000143 +2026-04-09 02:24:56,097 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:24:56,179 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:24:56,250 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:24:56,327 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:24:56,396 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:24:56,476 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:24:58,738 - INFO - Epoch 19/50: +2026-04-09 02:24:58,739 - INFO - Train: loss=0.7448, accuracy_overall=0.8983 +2026-04-09 02:24:58,739 - INFO - Horizon 0.0s: accuracy=0.9004 +2026-04-09 02:24:58,739 - INFO - Horizon 0.1s: accuracy=0.9064 +2026-04-09 02:24:58,740 - INFO - Horizon 0.2s: accuracy=0.9091 +2026-04-09 02:24:58,740 - INFO - Horizon 0.3s: accuracy=0.9114 +2026-04-09 02:24:58,740 - INFO - Horizon 0.5s: accuracy=0.9020 +2026-04-09 02:24:58,740 - INFO - Horizon 1.0s: accuracy=0.8602 +2026-04-09 02:24:58,740 - INFO - Val Horizon 0.0s - Overall: loss=0.8778, accuracy=0.8355 +2026-04-09 02:24:58,740 - INFO - Horizon 0.0s - Overall F1: 0.8389, Precision: 0.8399, Recall: 0.8401 +2026-04-09 02:24:58,740 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:24:58,740 - INFO - Macro F1: 0.8389 +2026-04-09 02:24:58,740 - INFO - Weighted F1: 0.8330 +2026-04-09 02:24:58,740 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9024 +2026-04-09 02:24:58,740 - INFO - Horizon 0.0s - Steady F1: 0.8925, Precision: 0.8894, Recall: 0.8981 +2026-04-09 02:24:58,740 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:24:58,740 - INFO - Macro F1: 0.8925 +2026-04-09 02:24:58,740 - INFO - Weighted F1: 0.9022 +2026-04-09 02:24:58,740 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5265 +2026-04-09 02:24:58,741 - INFO - Horizon 0.0s - Transition F1: 0.5674, Precision: 0.5681, Recall: 0.5750 +2026-04-09 02:24:58,741 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:24:58,741 - INFO - Macro F1: 0.5674 +2026-04-09 02:24:58,741 - INFO - Weighted F1: 0.5208 +2026-04-09 02:24:58,741 - INFO - +2026-04-09 02:24:58,741 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8414 +2026-04-09 02:24:58,741 - INFO - Horizon 0.1s - Overall F1: 0.8445, Precision: 0.8495, Recall: 0.8430 +2026-04-09 02:24:58,741 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:24:58,741 - INFO - Macro F1: 0.8445 +2026-04-09 02:24:58,741 - INFO - Weighted F1: 0.8382 +2026-04-09 02:24:58,741 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9071 +2026-04-09 02:24:58,741 - INFO - Horizon 0.1s - Steady F1: 0.8965, Precision: 0.8976, Recall: 0.8989 +2026-04-09 02:24:58,741 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:24:58,741 - INFO - Macro F1: 0.8965 +2026-04-09 02:24:58,741 - INFO - Weighted F1: 0.9061 +2026-04-09 02:24:58,741 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5422 +2026-04-09 02:24:58,742 - INFO - Horizon 0.1s - Transition F1: 0.5752, Precision: 0.5830, Recall: 0.5761 +2026-04-09 02:24:58,742 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:24:58,742 - INFO - Macro F1: 0.5752 +2026-04-09 02:24:58,742 - INFO - Weighted F1: 0.5350 +2026-04-09 02:24:58,742 - INFO - +2026-04-09 02:24:58,742 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8368 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Overall F1: 0.8427, Precision: 0.8465, Recall: 0.8449 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:24:58,742 - INFO - Macro F1: 0.8427 +2026-04-09 02:24:58,742 - INFO - Weighted F1: 0.8328 +2026-04-09 02:24:58,742 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9022 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Steady F1: 0.8936, Precision: 0.8949, Recall: 0.8966 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:24:58,742 - INFO - Macro F1: 0.8936 +2026-04-09 02:24:58,742 - INFO - Weighted F1: 0.9006 +2026-04-09 02:24:58,742 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5322 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Transition F1: 0.5816, Precision: 0.5851, Recall: 0.5919 +2026-04-09 02:24:58,742 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:24:58,742 - INFO - Macro F1: 0.5816 +2026-04-09 02:24:58,743 - INFO - Weighted F1: 0.5236 +2026-04-09 02:24:58,743 - INFO - +2026-04-09 02:24:58,743 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8331 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Overall F1: 0.8410, Precision: 0.8417, Recall: 0.8444 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:24:58,743 - INFO - Macro F1: 0.8410 +2026-04-09 02:24:58,743 - INFO - Weighted F1: 0.8302 +2026-04-09 02:24:58,743 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8994 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Steady F1: 0.8905, Precision: 0.8914, Recall: 0.8931 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:24:58,743 - INFO - Macro F1: 0.8905 +2026-04-09 02:24:58,743 - INFO - Weighted F1: 0.8979 +2026-04-09 02:24:58,743 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5315 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Transition F1: 0.5901, Precision: 0.5868, Recall: 0.6050 +2026-04-09 02:24:58,743 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:24:58,743 - INFO - Macro F1: 0.5901 +2026-04-09 02:24:58,743 - INFO - Weighted F1: 0.5285 +2026-04-09 02:24:58,743 - INFO - +2026-04-09 02:24:58,743 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8249 +2026-04-09 02:24:58,743 - INFO - Horizon 0.5s - Overall F1: 0.8387, Precision: 0.8349, Recall: 0.8460 +2026-04-09 02:24:58,743 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:24:58,743 - INFO - Macro F1: 0.8387 +2026-04-09 02:24:58,744 - INFO - Weighted F1: 0.8232 +2026-04-09 02:24:58,744 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8898 +2026-04-09 02:24:58,744 - INFO - Horizon 0.5s - Steady F1: 0.8861, Precision: 0.8779, Recall: 0.8967 +2026-04-09 02:24:58,744 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:24:58,744 - INFO - Macro F1: 0.8861 +2026-04-09 02:24:58,744 - INFO - Weighted F1: 0.8893 +2026-04-09 02:24:58,744 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5240 +2026-04-09 02:24:58,744 - INFO - Horizon 0.5s - Transition F1: 0.5807, Precision: 0.5840, Recall: 0.5927 +2026-04-09 02:24:58,744 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:24:58,744 - INFO - Macro F1: 0.5807 +2026-04-09 02:24:58,744 - INFO - Weighted F1: 0.5230 +2026-04-09 02:24:58,744 - INFO - +2026-04-09 02:24:58,744 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7970 +2026-04-09 02:24:58,744 - INFO - Horizon 1.0s - Overall F1: 0.8118, Precision: 0.8073, Recall: 0.8183 +2026-04-09 02:24:58,744 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:24:58,744 - INFO - Macro F1: 0.8118 +2026-04-09 02:24:58,744 - INFO - Weighted F1: 0.7950 +2026-04-09 02:24:58,744 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8662 +2026-04-09 02:24:58,744 - INFO - Horizon 1.0s - Steady F1: 0.8528, Precision: 0.8432, Recall: 0.8650 +2026-04-09 02:24:58,744 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:24:58,744 - INFO - Macro F1: 0.8528 +2026-04-09 02:24:58,744 - INFO - Weighted F1: 0.8656 +2026-04-09 02:24:58,745 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4704 +2026-04-09 02:24:58,745 - INFO - Horizon 1.0s - Transition F1: 0.5511, Precision: 0.5635, Recall: 0.5565 +2026-04-09 02:24:58,745 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:24:58,745 - INFO - Macro F1: 0.5511 +2026-04-09 02:24:58,745 - INFO - Weighted F1: 0.4653 +2026-04-09 02:24:59,047 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_19.pt +2026-04-09 02:24:59,050 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,051 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,052 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,053 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,054 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,056 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,057 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,058 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,060 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,061 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,062 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,063 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,064 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,064 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,065 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,066 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_19.csv +2026-04-09 02:24:59,067 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_19.csv +2026-04-09 02:24:59,067 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_19.csv +2026-04-09 02:24:59,073 - INFO - Removed old checkpoint: checkpoint_epoch_18.pt +2026-04-09 02:24:59,074 - INFO - Epoch 20/50, Learning Rate: 0.000137 +2026-04-09 02:25:50,815 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:25:50,890 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:25:50,954 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:25:51,020 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:25:51,089 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:25:51,155 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:25:53,241 - INFO - Epoch 20/50: +2026-04-09 02:25:53,242 - INFO - Train: loss=0.7408, accuracy_overall=0.9004 +2026-04-09 02:25:53,242 - INFO - Horizon 0.0s: accuracy=0.9058 +2026-04-09 02:25:53,242 - INFO - Horizon 0.1s: accuracy=0.9106 +2026-04-09 02:25:53,242 - INFO - Horizon 0.2s: accuracy=0.9120 +2026-04-09 02:25:53,242 - INFO - Horizon 0.3s: accuracy=0.9088 +2026-04-09 02:25:53,242 - INFO - Horizon 0.5s: accuracy=0.9013 +2026-04-09 02:25:53,242 - INFO - Horizon 1.0s: accuracy=0.8641 +2026-04-09 02:25:53,242 - INFO - Val Horizon 0.0s - Overall: loss=0.9060, accuracy=0.8243 +2026-04-09 02:25:53,242 - INFO - Horizon 0.0s - Overall F1: 0.8273, Precision: 0.8198, Recall: 0.8420 +2026-04-09 02:25:53,242 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:25:53,242 - INFO - Macro F1: 0.8273 +2026-04-09 02:25:53,242 - INFO - Weighted F1: 0.8255 +2026-04-09 02:25:53,242 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8915 +2026-04-09 02:25:53,242 - INFO - Horizon 0.0s - Steady F1: 0.8797, Precision: 0.8660, Recall: 0.9024 +2026-04-09 02:25:53,242 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:25:53,242 - INFO - Macro F1: 0.8797 +2026-04-09 02:25:53,243 - INFO - Weighted F1: 0.8935 +2026-04-09 02:25:53,243 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5144 +2026-04-09 02:25:53,243 - INFO - Horizon 0.0s - Transition F1: 0.5453, Precision: 0.5361, Recall: 0.5761 +2026-04-09 02:25:53,243 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:25:53,243 - INFO - Macro F1: 0.5453 +2026-04-09 02:25:53,243 - INFO - Weighted F1: 0.5074 +2026-04-09 02:25:53,243 - INFO - +2026-04-09 02:25:53,243 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8319 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Overall F1: 0.8361, Precision: 0.8290, Recall: 0.8514 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:25:53,243 - INFO - Macro F1: 0.8361 +2026-04-09 02:25:53,243 - INFO - Weighted F1: 0.8323 +2026-04-09 02:25:53,243 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8966 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Steady F1: 0.8867, Precision: 0.8730, Recall: 0.9094 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:25:53,243 - INFO - Macro F1: 0.8867 +2026-04-09 02:25:53,243 - INFO - Weighted F1: 0.8981 +2026-04-09 02:25:53,243 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5378 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Transition F1: 0.5621, Precision: 0.5572, Recall: 0.5922 +2026-04-09 02:25:53,243 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:25:53,243 - INFO - Macro F1: 0.5621 +2026-04-09 02:25:53,243 - INFO - Weighted F1: 0.5267 +2026-04-09 02:25:53,244 - INFO - +2026-04-09 02:25:53,244 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8303 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Overall F1: 0.8399, Precision: 0.8322, Recall: 0.8559 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:25:53,244 - INFO - Macro F1: 0.8399 +2026-04-09 02:25:53,244 - INFO - Weighted F1: 0.8297 +2026-04-09 02:25:53,244 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8925 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Steady F1: 0.8870, Precision: 0.8727, Recall: 0.9088 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:25:53,244 - INFO - Macro F1: 0.8870 +2026-04-09 02:25:53,244 - INFO - Weighted F1: 0.8933 +2026-04-09 02:25:53,244 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5405 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Transition F1: 0.5834, Precision: 0.5809, Recall: 0.6145 +2026-04-09 02:25:53,244 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:25:53,244 - INFO - Macro F1: 0.5834 +2026-04-09 02:25:53,244 - INFO - Weighted F1: 0.5271 +2026-04-09 02:25:53,244 - INFO - +2026-04-09 02:25:53,244 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8272 +2026-04-09 02:25:53,244 - INFO - Horizon 0.3s - Overall F1: 0.8397, Precision: 0.8329, Recall: 0.8529 +2026-04-09 02:25:53,244 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:25:53,244 - INFO - Macro F1: 0.8397 +2026-04-09 02:25:53,245 - INFO - Weighted F1: 0.8265 +2026-04-09 02:25:53,245 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8923 +2026-04-09 02:25:53,245 - INFO - Horizon 0.3s - Steady F1: 0.8885, Precision: 0.8753, Recall: 0.9079 +2026-04-09 02:25:53,245 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:25:53,245 - INFO - Macro F1: 0.8885 +2026-04-09 02:25:53,245 - INFO - Weighted F1: 0.8926 +2026-04-09 02:25:53,245 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5309 +2026-04-09 02:25:53,245 - INFO - Horizon 0.3s - Transition F1: 0.5743, Precision: 0.5721, Recall: 0.6012 +2026-04-09 02:25:53,245 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:25:53,245 - INFO - Macro F1: 0.5743 +2026-04-09 02:25:53,245 - INFO - Weighted F1: 0.5197 +2026-04-09 02:25:53,245 - INFO - +2026-04-09 02:25:53,245 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8185 +2026-04-09 02:25:53,245 - INFO - Horizon 0.5s - Overall F1: 0.8328, Precision: 0.8311, Recall: 0.8394 +2026-04-09 02:25:53,245 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:25:53,245 - INFO - Macro F1: 0.8328 +2026-04-09 02:25:53,245 - INFO - Weighted F1: 0.8157 +2026-04-09 02:25:53,245 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8835 +2026-04-09 02:25:53,245 - INFO - Horizon 0.5s - Steady F1: 0.8788, Precision: 0.8680, Recall: 0.8940 +2026-04-09 02:25:53,245 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:25:53,245 - INFO - Macro F1: 0.8788 +2026-04-09 02:25:53,245 - INFO - Weighted F1: 0.8831 +2026-04-09 02:25:53,245 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5170 +2026-04-09 02:25:53,246 - INFO - Horizon 0.5s - Transition F1: 0.5689, Precision: 0.5910, Recall: 0.5770 +2026-04-09 02:25:53,246 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:25:53,246 - INFO - Macro F1: 0.5689 +2026-04-09 02:25:53,246 - INFO - Weighted F1: 0.5128 +2026-04-09 02:25:53,246 - INFO - +2026-04-09 02:25:53,246 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7948 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Overall F1: 0.8095, Precision: 0.8077, Recall: 0.8167 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:25:53,246 - INFO - Macro F1: 0.8095 +2026-04-09 02:25:53,246 - INFO - Weighted F1: 0.7891 +2026-04-09 02:25:53,246 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8622 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Steady F1: 0.8499, Precision: 0.8458, Recall: 0.8596 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:25:53,246 - INFO - Macro F1: 0.8499 +2026-04-09 02:25:53,246 - INFO - Weighted F1: 0.8591 +2026-04-09 02:25:53,246 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4763 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Transition F1: 0.5722, Precision: 0.5695, Recall: 0.5950 +2026-04-09 02:25:53,246 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:25:53,246 - INFO - Macro F1: 0.5722 +2026-04-09 02:25:53,246 - INFO - Weighted F1: 0.4687 +2026-04-09 02:25:53,510 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_20.pt +2026-04-09 02:25:53,514 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,516 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,518 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,519 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,520 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,521 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,522 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,522 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,523 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,524 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,525 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,526 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,526 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,527 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,528 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,529 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_20.csv +2026-04-09 02:25:53,530 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_20.csv +2026-04-09 02:25:53,530 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_20.csv +2026-04-09 02:25:53,542 - INFO - Removed old checkpoint: checkpoint_epoch_19.pt +2026-04-09 02:25:53,543 - INFO - Epoch 21/50, Learning Rate: 0.000131 +2026-04-09 02:26:43,444 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:26:43,531 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:26:43,604 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:26:43,687 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:26:43,749 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:26:43,808 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:26:45,694 - INFO - Epoch 21/50: +2026-04-09 02:26:45,694 - INFO - Train: loss=0.7442, accuracy_overall=0.8977 +2026-04-09 02:26:45,694 - INFO - Horizon 0.0s: accuracy=0.9021 +2026-04-09 02:26:45,694 - INFO - Horizon 0.1s: accuracy=0.9069 +2026-04-09 02:26:45,695 - INFO - Horizon 0.2s: accuracy=0.9072 +2026-04-09 02:26:45,695 - INFO - Horizon 0.3s: accuracy=0.9074 +2026-04-09 02:26:45,695 - INFO - Horizon 0.5s: accuracy=0.9035 +2026-04-09 02:26:45,695 - INFO - Horizon 1.0s: accuracy=0.8591 +2026-04-09 02:26:45,695 - INFO - Val Horizon 0.0s - Overall: loss=0.8940, accuracy=0.8195 +2026-04-09 02:26:45,695 - INFO - Horizon 0.0s - Overall F1: 0.8202, Precision: 0.8240, Recall: 0.8344 +2026-04-09 02:26:45,695 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:26:45,695 - INFO - Macro F1: 0.8202 +2026-04-09 02:26:45,695 - INFO - Weighted F1: 0.8187 +2026-04-09 02:26:45,695 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8886 +2026-04-09 02:26:45,695 - INFO - Horizon 0.0s - Steady F1: 0.8702, Precision: 0.8697, Recall: 0.8917 +2026-04-09 02:26:45,695 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:26:45,695 - INFO - Macro F1: 0.8702 +2026-04-09 02:26:45,695 - INFO - Weighted F1: 0.8904 +2026-04-09 02:26:45,696 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5010 +2026-04-09 02:26:45,696 - INFO - Horizon 0.0s - Transition F1: 0.5419, Precision: 0.5393, Recall: 0.5834 +2026-04-09 02:26:45,696 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:26:45,696 - INFO - Macro F1: 0.5419 +2026-04-09 02:26:45,696 - INFO - Weighted F1: 0.4859 +2026-04-09 02:26:45,696 - INFO - +2026-04-09 02:26:45,696 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8272 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Overall F1: 0.8286, Precision: 0.8344, Recall: 0.8452 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:26:45,696 - INFO - Macro F1: 0.8286 +2026-04-09 02:26:45,696 - INFO - Weighted F1: 0.8250 +2026-04-09 02:26:45,696 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8958 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Steady F1: 0.8801, Precision: 0.8820, Recall: 0.9021 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:26:45,696 - INFO - Macro F1: 0.8801 +2026-04-09 02:26:45,696 - INFO - Weighted F1: 0.8967 +2026-04-09 02:26:45,696 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5151 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Transition F1: 0.5494, Precision: 0.5522, Recall: 0.5966 +2026-04-09 02:26:45,696 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:26:45,697 - INFO - Macro F1: 0.5494 +2026-04-09 02:26:45,697 - INFO - Weighted F1: 0.4920 +2026-04-09 02:26:45,697 - INFO - +2026-04-09 02:26:45,697 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8290 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Overall F1: 0.8311, Precision: 0.8363, Recall: 0.8455 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:26:45,697 - INFO - Macro F1: 0.8311 +2026-04-09 02:26:45,697 - INFO - Weighted F1: 0.8244 +2026-04-09 02:26:45,697 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8965 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Steady F1: 0.8838, Precision: 0.8850, Recall: 0.9001 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:26:45,697 - INFO - Macro F1: 0.8838 +2026-04-09 02:26:45,697 - INFO - Weighted F1: 0.8957 +2026-04-09 02:26:45,697 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5142 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Transition F1: 0.5655, Precision: 0.5590, Recall: 0.6174 +2026-04-09 02:26:45,697 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:26:45,697 - INFO - Macro F1: 0.5655 +2026-04-09 02:26:45,697 - INFO - Weighted F1: 0.4875 +2026-04-09 02:26:45,697 - INFO - +2026-04-09 02:26:45,698 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8313 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Overall F1: 0.8326, Precision: 0.8416, Recall: 0.8409 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:26:45,698 - INFO - Macro F1: 0.8326 +2026-04-09 02:26:45,698 - INFO - Weighted F1: 0.8256 +2026-04-09 02:26:45,698 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9007 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Steady F1: 0.8864, Precision: 0.8922, Recall: 0.8955 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:26:45,698 - INFO - Macro F1: 0.8864 +2026-04-09 02:26:45,698 - INFO - Weighted F1: 0.8992 +2026-04-09 02:26:45,698 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5151 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Transition F1: 0.5754, Precision: 0.5708, Recall: 0.6227 +2026-04-09 02:26:45,698 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:26:45,698 - INFO - Macro F1: 0.5754 +2026-04-09 02:26:45,698 - INFO - Weighted F1: 0.4865 +2026-04-09 02:26:45,698 - INFO - +2026-04-09 02:26:45,698 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8240 +2026-04-09 02:26:45,698 - INFO - Horizon 0.5s - Overall F1: 0.8300, Precision: 0.8474, Recall: 0.8305 +2026-04-09 02:26:45,698 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:26:45,698 - INFO - Macro F1: 0.8300 +2026-04-09 02:26:45,698 - INFO - Weighted F1: 0.8171 +2026-04-09 02:26:45,698 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8932 +2026-04-09 02:26:45,699 - INFO - Horizon 0.5s - Steady F1: 0.8799, Precision: 0.8894, Recall: 0.8868 +2026-04-09 02:26:45,699 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:26:45,699 - INFO - Macro F1: 0.8799 +2026-04-09 02:26:45,699 - INFO - Weighted F1: 0.8914 +2026-04-09 02:26:45,699 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5029 +2026-04-09 02:26:45,699 - INFO - Horizon 0.5s - Transition F1: 0.5598, Precision: 0.5860, Recall: 0.5816 +2026-04-09 02:26:45,699 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:26:45,699 - INFO - Macro F1: 0.5598 +2026-04-09 02:26:45,699 - INFO - Weighted F1: 0.4811 +2026-04-09 02:26:45,699 - INFO - +2026-04-09 02:26:45,699 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7902 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Overall F1: 0.7981, Precision: 0.8129, Recall: 0.7923 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:26:45,699 - INFO - Macro F1: 0.7981 +2026-04-09 02:26:45,699 - INFO - Weighted F1: 0.7805 +2026-04-09 02:26:45,699 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8677 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Steady F1: 0.8439, Precision: 0.8504, Recall: 0.8427 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:26:45,699 - INFO - Macro F1: 0.8439 +2026-04-09 02:26:45,699 - INFO - Weighted F1: 0.8626 +2026-04-09 02:26:45,699 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4242 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Transition F1: 0.5229, Precision: 0.5797, Recall: 0.5208 +2026-04-09 02:26:45,699 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:26:45,699 - INFO - Macro F1: 0.5229 +2026-04-09 02:26:45,699 - INFO - Weighted F1: 0.4120 +2026-04-09 02:26:46,020 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_21.pt +2026-04-09 02:26:46,024 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,026 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,027 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,029 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,029 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,031 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,032 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,033 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,034 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,034 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,035 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,036 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,037 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,039 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,040 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,041 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_21.csv +2026-04-09 02:26:46,042 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_21.csv +2026-04-09 02:26:46,043 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_21.csv +2026-04-09 02:26:46,057 - INFO - Removed old checkpoint: checkpoint_epoch_20.pt +2026-04-09 02:26:46,059 - INFO - Epoch 22/50, Learning Rate: 0.000125 +2026-04-09 02:27:31,763 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:27:31,833 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:27:31,897 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:27:31,963 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:27:32,030 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:27:32,095 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:27:33,938 - INFO - Epoch 22/50: +2026-04-09 02:27:33,938 - INFO - Train: loss=0.7392, accuracy_overall=0.9007 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s: accuracy=0.9082 +2026-04-09 02:27:33,939 - INFO - Horizon 0.1s: accuracy=0.9123 +2026-04-09 02:27:33,939 - INFO - Horizon 0.2s: accuracy=0.9114 +2026-04-09 02:27:33,939 - INFO - Horizon 0.3s: accuracy=0.9093 +2026-04-09 02:27:33,939 - INFO - Horizon 0.5s: accuracy=0.9020 +2026-04-09 02:27:33,939 - INFO - Horizon 1.0s: accuracy=0.8612 +2026-04-09 02:27:33,939 - INFO - Val Horizon 0.0s - Overall: loss=0.9011, accuracy=0.8289 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Overall F1: 0.8288, Precision: 0.8250, Recall: 0.8366 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:27:33,939 - INFO - Macro F1: 0.8288 +2026-04-09 02:27:33,939 - INFO - Weighted F1: 0.8283 +2026-04-09 02:27:33,939 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8974 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Steady F1: 0.8809, Precision: 0.8740, Recall: 0.8933 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:27:33,939 - INFO - Macro F1: 0.8809 +2026-04-09 02:27:33,939 - INFO - Weighted F1: 0.8983 +2026-04-09 02:27:33,939 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5124 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Transition F1: 0.5494, Precision: 0.5414, Recall: 0.5668 +2026-04-09 02:27:33,939 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:27:33,940 - INFO - Macro F1: 0.5494 +2026-04-09 02:27:33,940 - INFO - Weighted F1: 0.5083 +2026-04-09 02:27:33,940 - INFO - +2026-04-09 02:27:33,940 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8351 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Overall F1: 0.8348, Precision: 0.8327, Recall: 0.8426 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:27:33,940 - INFO - Macro F1: 0.8348 +2026-04-09 02:27:33,940 - INFO - Weighted F1: 0.8329 +2026-04-09 02:27:33,940 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8987 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Steady F1: 0.8829, Precision: 0.8763, Recall: 0.8956 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:27:33,940 - INFO - Macro F1: 0.8829 +2026-04-09 02:27:33,940 - INFO - Weighted F1: 0.8989 +2026-04-09 02:27:33,940 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5460 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Transition F1: 0.5872, Precision: 0.5822, Recall: 0.6072 +2026-04-09 02:27:33,940 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:27:33,940 - INFO - Macro F1: 0.5872 +2026-04-09 02:27:33,940 - INFO - Weighted F1: 0.5382 +2026-04-09 02:27:33,940 - INFO - +2026-04-09 02:27:33,940 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8324 +2026-04-09 02:27:33,940 - INFO - Horizon 0.2s - Overall F1: 0.8335, Precision: 0.8352, Recall: 0.8405 +2026-04-09 02:27:33,941 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:27:33,941 - INFO - Macro F1: 0.8335 +2026-04-09 02:27:33,941 - INFO - Weighted F1: 0.8283 +2026-04-09 02:27:33,941 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8970 +2026-04-09 02:27:33,941 - INFO - Horizon 0.2s - Steady F1: 0.8831, Precision: 0.8813, Recall: 0.8915 +2026-04-09 02:27:33,941 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:27:33,941 - INFO - Macro F1: 0.8831 +2026-04-09 02:27:33,941 - INFO - Weighted F1: 0.8959 +2026-04-09 02:27:33,941 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5309 +2026-04-09 02:27:33,941 - INFO - Horizon 0.2s - Transition F1: 0.5819, Precision: 0.5857, Recall: 0.6055 +2026-04-09 02:27:33,941 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:27:33,941 - INFO - Macro F1: 0.5819 +2026-04-09 02:27:33,941 - INFO - Weighted F1: 0.5214 +2026-04-09 02:27:33,941 - INFO - +2026-04-09 02:27:33,941 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8255 +2026-04-09 02:27:33,941 - INFO - Horizon 0.3s - Overall F1: 0.8257, Precision: 0.8354, Recall: 0.8277 +2026-04-09 02:27:33,941 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:27:33,941 - INFO - Macro F1: 0.8257 +2026-04-09 02:27:33,941 - INFO - Weighted F1: 0.8193 +2026-04-09 02:27:33,941 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8934 +2026-04-09 02:27:33,941 - INFO - Horizon 0.3s - Steady F1: 0.8765, Precision: 0.8847, Recall: 0.8772 +2026-04-09 02:27:33,942 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:27:33,942 - INFO - Macro F1: 0.8765 +2026-04-09 02:27:33,942 - INFO - Weighted F1: 0.8908 +2026-04-09 02:27:33,942 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5164 +2026-04-09 02:27:33,942 - INFO - Horizon 0.3s - Transition F1: 0.5724, Precision: 0.5829, Recall: 0.5938 +2026-04-09 02:27:33,942 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:27:33,942 - INFO - Macro F1: 0.5724 +2026-04-09 02:27:33,942 - INFO - Weighted F1: 0.5063 +2026-04-09 02:27:33,942 - INFO - +2026-04-09 02:27:33,942 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8136 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Overall F1: 0.8153, Precision: 0.8322, Recall: 0.8175 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:27:33,942 - INFO - Macro F1: 0.8153 +2026-04-09 02:27:33,942 - INFO - Weighted F1: 0.8043 +2026-04-09 02:27:33,942 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8864 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Steady F1: 0.8676, Precision: 0.8789, Recall: 0.8690 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:27:33,942 - INFO - Macro F1: 0.8676 +2026-04-09 02:27:33,942 - INFO - Weighted F1: 0.8828 +2026-04-09 02:27:33,942 - INFO - Val Horizon 0.5s - Transition: accuracy=0.4760 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Transition F1: 0.5470, Precision: 0.5773, Recall: 0.5645 +2026-04-09 02:27:33,942 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:27:33,943 - INFO - Macro F1: 0.5470 +2026-04-09 02:27:33,943 - INFO - Weighted F1: 0.4594 +2026-04-09 02:27:33,943 - INFO - +2026-04-09 02:27:33,943 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7900 +2026-04-09 02:27:33,943 - INFO - Horizon 1.0s - Overall F1: 0.8024, Precision: 0.8179, Recall: 0.7989 +2026-04-09 02:27:33,943 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:27:33,943 - INFO - Macro F1: 0.8024 +2026-04-09 02:27:33,943 - INFO - Weighted F1: 0.7836 +2026-04-09 02:27:33,943 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8696 +2026-04-09 02:27:33,943 - INFO - Horizon 1.0s - Steady F1: 0.8558, Precision: 0.8624, Recall: 0.8580 +2026-04-09 02:27:33,943 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:27:33,943 - INFO - Macro F1: 0.8558 +2026-04-09 02:27:33,943 - INFO - Weighted F1: 0.8671 +2026-04-09 02:27:33,943 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4138 +2026-04-09 02:27:33,943 - INFO - Horizon 1.0s - Transition F1: 0.5101, Precision: 0.5776, Recall: 0.4933 +2026-04-09 02:27:33,944 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:27:33,944 - INFO - Macro F1: 0.5101 +2026-04-09 02:27:33,944 - INFO - Weighted F1: 0.4119 +2026-04-09 02:27:34,062 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_22.pt +2026-04-09 02:27:34,064 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,064 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,065 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,066 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,067 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,067 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,068 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,069 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,070 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,070 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,071 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,072 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,072 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,073 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,074 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,075 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_22.csv +2026-04-09 02:27:34,075 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_22.csv +2026-04-09 02:27:34,076 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_22.csv +2026-04-09 02:27:34,079 - INFO - Removed old checkpoint: checkpoint_epoch_21.pt +2026-04-09 02:27:34,080 - INFO - Epoch 23/50, Learning Rate: 0.000119 +2026-04-09 02:28:20,317 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:28:20,389 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:28:20,452 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:28:20,521 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:28:20,590 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:28:20,659 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:28:22,982 - INFO - Epoch 23/50: +2026-04-09 02:28:22,983 - INFO - Train: loss=0.7284, accuracy_overall=0.9049 +2026-04-09 02:28:22,983 - INFO - Horizon 0.0s: accuracy=0.9107 +2026-04-09 02:28:22,983 - INFO - Horizon 0.1s: accuracy=0.9120 +2026-04-09 02:28:22,983 - INFO - Horizon 0.2s: accuracy=0.9147 +2026-04-09 02:28:22,983 - INFO - Horizon 0.3s: accuracy=0.9150 +2026-04-09 02:28:22,983 - INFO - Horizon 0.5s: accuracy=0.9126 +2026-04-09 02:28:22,983 - INFO - Horizon 1.0s: accuracy=0.8641 +2026-04-09 02:28:22,983 - INFO - Val Horizon 0.0s - Overall: loss=0.8899, accuracy=0.8234 +2026-04-09 02:28:22,983 - INFO - Horizon 0.0s - Overall F1: 0.8236, Precision: 0.8088, Recall: 0.8429 +2026-04-09 02:28:22,983 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:28:22,983 - INFO - Macro F1: 0.8236 +2026-04-09 02:28:22,983 - INFO - Weighted F1: 0.8232 +2026-04-09 02:28:22,983 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.8913 +2026-04-09 02:28:22,983 - INFO - Horizon 0.0s - Steady F1: 0.8737, Precision: 0.8587, Recall: 0.8935 +2026-04-09 02:28:22,983 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:28:22,984 - INFO - Macro F1: 0.8737 +2026-04-09 02:28:22,984 - INFO - Weighted F1: 0.8926 +2026-04-09 02:28:22,984 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5099 +2026-04-09 02:28:22,984 - INFO - Horizon 0.0s - Transition F1: 0.5607, Precision: 0.5270, Recall: 0.6176 +2026-04-09 02:28:22,984 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:28:22,984 - INFO - Macro F1: 0.5607 +2026-04-09 02:28:22,984 - INFO - Weighted F1: 0.5048 +2026-04-09 02:28:22,984 - INFO - +2026-04-09 02:28:22,984 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8314 +2026-04-09 02:28:22,984 - INFO - Horizon 0.1s - Overall F1: 0.8332, Precision: 0.8183, Recall: 0.8532 +2026-04-09 02:28:22,984 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:28:22,984 - INFO - Macro F1: 0.8332 +2026-04-09 02:28:22,984 - INFO - Weighted F1: 0.8317 +2026-04-09 02:28:22,984 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.8969 +2026-04-09 02:28:22,984 - INFO - Horizon 0.1s - Steady F1: 0.8800, Precision: 0.8634, Recall: 0.9023 +2026-04-09 02:28:22,984 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:28:22,984 - INFO - Macro F1: 0.8800 +2026-04-09 02:28:22,985 - INFO - Weighted F1: 0.8985 +2026-04-09 02:28:22,985 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5334 +2026-04-09 02:28:22,985 - INFO - Horizon 0.1s - Transition F1: 0.5768, Precision: 0.5465, Recall: 0.6266 +2026-04-09 02:28:22,985 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:28:22,985 - INFO - Macro F1: 0.5768 +2026-04-09 02:28:22,985 - INFO - Weighted F1: 0.5275 +2026-04-09 02:28:22,985 - INFO - +2026-04-09 02:28:22,985 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8310 +2026-04-09 02:28:22,985 - INFO - Horizon 0.2s - Overall F1: 0.8381, Precision: 0.8212, Recall: 0.8605 +2026-04-09 02:28:22,985 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:28:22,985 - INFO - Macro F1: 0.8381 +2026-04-09 02:28:22,985 - INFO - Weighted F1: 0.8322 +2026-04-09 02:28:22,985 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.8947 +2026-04-09 02:28:22,985 - INFO - Horizon 0.2s - Steady F1: 0.8819, Precision: 0.8645, Recall: 0.9043 +2026-04-09 02:28:22,985 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:28:22,985 - INFO - Macro F1: 0.8819 +2026-04-09 02:28:22,986 - INFO - Weighted F1: 0.8964 +2026-04-09 02:28:22,986 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5341 +2026-04-09 02:28:22,986 - INFO - Horizon 0.2s - Transition F1: 0.5945, Precision: 0.5628, Recall: 0.6501 +2026-04-09 02:28:22,986 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:28:22,986 - INFO - Macro F1: 0.5945 +2026-04-09 02:28:22,986 - INFO - Weighted F1: 0.5255 +2026-04-09 02:28:22,986 - INFO - +2026-04-09 02:28:22,986 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8293 +2026-04-09 02:28:22,986 - INFO - Horizon 0.3s - Overall F1: 0.8387, Precision: 0.8227, Recall: 0.8601 +2026-04-09 02:28:22,986 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:28:22,986 - INFO - Macro F1: 0.8387 +2026-04-09 02:28:22,986 - INFO - Weighted F1: 0.8300 +2026-04-09 02:28:22,986 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.8956 +2026-04-09 02:28:22,986 - INFO - Horizon 0.3s - Steady F1: 0.8825, Precision: 0.8673, Recall: 0.9013 +2026-04-09 02:28:22,986 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:28:22,987 - INFO - Macro F1: 0.8825 +2026-04-09 02:28:22,987 - INFO - Weighted F1: 0.8965 +2026-04-09 02:28:22,987 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5277 +2026-04-09 02:28:22,987 - INFO - Horizon 0.3s - Transition F1: 0.6027, Precision: 0.5716, Recall: 0.6572 +2026-04-09 02:28:22,987 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:28:22,987 - INFO - Macro F1: 0.6027 +2026-04-09 02:28:22,987 - INFO - Weighted F1: 0.5185 +2026-04-09 02:28:22,987 - INFO - +2026-04-09 02:28:22,987 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8320 +2026-04-09 02:28:22,987 - INFO - Horizon 0.5s - Overall F1: 0.8409, Precision: 0.8275, Recall: 0.8588 +2026-04-09 02:28:22,987 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:28:22,987 - INFO - Macro F1: 0.8409 +2026-04-09 02:28:22,987 - INFO - Weighted F1: 0.8305 +2026-04-09 02:28:22,987 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8957 +2026-04-09 02:28:22,987 - INFO - Horizon 0.5s - Steady F1: 0.8861, Precision: 0.8722, Recall: 0.9032 +2026-04-09 02:28:22,987 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:28:22,987 - INFO - Macro F1: 0.8861 +2026-04-09 02:28:22,987 - INFO - Weighted F1: 0.8957 +2026-04-09 02:28:22,987 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5368 +2026-04-09 02:28:22,988 - INFO - Horizon 0.5s - Transition F1: 0.5933, Precision: 0.5652, Recall: 0.6424 +2026-04-09 02:28:22,988 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:28:22,988 - INFO - Macro F1: 0.5933 +2026-04-09 02:28:22,988 - INFO - Weighted F1: 0.5295 +2026-04-09 02:28:22,988 - INFO - +2026-04-09 02:28:22,988 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8139 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Overall F1: 0.8258, Precision: 0.8171, Recall: 0.8386 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:28:22,988 - INFO - Macro F1: 0.8258 +2026-04-09 02:28:22,988 - INFO - Weighted F1: 0.8133 +2026-04-09 02:28:22,988 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8797 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Steady F1: 0.8672, Precision: 0.8549, Recall: 0.8831 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:28:22,988 - INFO - Macro F1: 0.8672 +2026-04-09 02:28:22,988 - INFO - Weighted F1: 0.8797 +2026-04-09 02:28:22,988 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5029 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Transition F1: 0.5798, Precision: 0.5731, Recall: 0.5991 +2026-04-09 02:28:22,988 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:28:22,988 - INFO - Macro F1: 0.5798 +2026-04-09 02:28:22,989 - INFO - Weighted F1: 0.4943 +2026-04-09 02:28:23,384 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_23.pt +2026-04-09 02:28:23,387 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,388 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,389 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,390 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,390 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,391 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,392 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,393 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,393 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,394 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,395 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,396 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,397 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,397 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,398 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,399 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_23.csv +2026-04-09 02:28:23,400 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_23.csv +2026-04-09 02:28:23,400 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_23.csv +2026-04-09 02:28:23,405 - INFO - Removed old checkpoint: checkpoint_epoch_22.pt +2026-04-09 02:28:23,406 - INFO - Epoch 24/50, Learning Rate: 0.000113 +2026-04-09 02:29:13,979 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:29:14,050 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:29:14,120 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:29:14,184 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:29:14,244 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:29:14,306 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:29:16,644 - INFO - Epoch 24/50: +2026-04-09 02:29:16,645 - INFO - Train: loss=0.7261, accuracy_overall=0.9070 +2026-04-09 02:29:16,645 - INFO - Horizon 0.0s: accuracy=0.9134 +2026-04-09 02:29:16,645 - INFO - Horizon 0.1s: accuracy=0.9166 +2026-04-09 02:29:16,646 - INFO - Horizon 0.2s: accuracy=0.9158 +2026-04-09 02:29:16,646 - INFO - Horizon 0.3s: accuracy=0.9167 +2026-04-09 02:29:16,646 - INFO - Horizon 0.5s: accuracy=0.9105 +2026-04-09 02:29:16,646 - INFO - Horizon 1.0s: accuracy=0.8694 +2026-04-09 02:29:16,646 - INFO - Val Horizon 0.0s - Overall: loss=0.8643, accuracy=0.8480 +2026-04-09 02:29:16,646 - INFO - Horizon 0.0s - Overall F1: 0.8459, Precision: 0.8422, Recall: 0.8562 +2026-04-09 02:29:16,646 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:29:16,646 - INFO - Macro F1: 0.8459 +2026-04-09 02:29:16,646 - INFO - Weighted F1: 0.8427 +2026-04-09 02:29:16,646 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9141 +2026-04-09 02:29:16,647 - INFO - Horizon 0.0s - Steady F1: 0.9016, Precision: 0.8987, Recall: 0.9087 +2026-04-09 02:29:16,647 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:29:16,647 - INFO - Macro F1: 0.9016 +2026-04-09 02:29:16,647 - INFO - Weighted F1: 0.9125 +2026-04-09 02:29:16,647 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5424 +2026-04-09 02:29:16,647 - INFO - Horizon 0.0s - Transition F1: 0.5916, Precision: 0.5667, Recall: 0.6369 +2026-04-09 02:29:16,647 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:29:16,647 - INFO - Macro F1: 0.5916 +2026-04-09 02:29:16,647 - INFO - Weighted F1: 0.5318 +2026-04-09 02:29:16,647 - INFO - +2026-04-09 02:29:16,647 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8499 +2026-04-09 02:29:16,647 - INFO - Horizon 0.1s - Overall F1: 0.8484, Precision: 0.8452, Recall: 0.8566 +2026-04-09 02:29:16,647 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:29:16,647 - INFO - Macro F1: 0.8484 +2026-04-09 02:29:16,647 - INFO - Weighted F1: 0.8456 +2026-04-09 02:29:16,648 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9177 +2026-04-09 02:29:16,648 - INFO - Horizon 0.1s - Steady F1: 0.9063, Precision: 0.9054, Recall: 0.9110 +2026-04-09 02:29:16,648 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:29:16,648 - INFO - Macro F1: 0.9063 +2026-04-09 02:29:16,648 - INFO - Weighted F1: 0.9163 +2026-04-09 02:29:16,648 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5416 +2026-04-09 02:29:16,648 - INFO - Horizon 0.1s - Transition F1: 0.5844, Precision: 0.5575, Recall: 0.6285 +2026-04-09 02:29:16,648 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:29:16,648 - INFO - Macro F1: 0.5844 +2026-04-09 02:29:16,648 - INFO - Weighted F1: 0.5350 +2026-04-09 02:29:16,648 - INFO - +2026-04-09 02:29:16,648 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8443 +2026-04-09 02:29:16,648 - INFO - Horizon 0.2s - Overall F1: 0.8466, Precision: 0.8414, Recall: 0.8587 +2026-04-09 02:29:16,649 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:29:16,649 - INFO - Macro F1: 0.8466 +2026-04-09 02:29:16,649 - INFO - Weighted F1: 0.8397 +2026-04-09 02:29:16,649 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9100 +2026-04-09 02:29:16,649 - INFO - Horizon 0.2s - Steady F1: 0.8986, Precision: 0.8993, Recall: 0.9051 +2026-04-09 02:29:16,649 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:29:16,649 - INFO - Macro F1: 0.8986 +2026-04-09 02:29:16,649 - INFO - Weighted F1: 0.9081 +2026-04-09 02:29:16,649 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5380 +2026-04-09 02:29:16,649 - INFO - Horizon 0.2s - Transition F1: 0.6086, Precision: 0.5786, Recall: 0.6584 +2026-04-09 02:29:16,649 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:29:16,649 - INFO - Macro F1: 0.6086 +2026-04-09 02:29:16,649 - INFO - Weighted F1: 0.5313 +2026-04-09 02:29:16,649 - INFO - +2026-04-09 02:29:16,649 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8476 +2026-04-09 02:29:16,649 - INFO - Horizon 0.3s - Overall F1: 0.8514, Precision: 0.8451, Recall: 0.8637 +2026-04-09 02:29:16,649 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:29:16,649 - INFO - Macro F1: 0.8514 +2026-04-09 02:29:16,649 - INFO - Weighted F1: 0.8444 +2026-04-09 02:29:16,650 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9132 +2026-04-09 02:29:16,650 - INFO - Horizon 0.3s - Steady F1: 0.9012, Precision: 0.9033, Recall: 0.9070 +2026-04-09 02:29:16,650 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:29:16,650 - INFO - Macro F1: 0.9012 +2026-04-09 02:29:16,650 - INFO - Weighted F1: 0.9115 +2026-04-09 02:29:16,650 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5492 +2026-04-09 02:29:16,650 - INFO - Horizon 0.3s - Transition F1: 0.6175, Precision: 0.5895, Recall: 0.6586 +2026-04-09 02:29:16,650 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:29:16,650 - INFO - Macro F1: 0.6175 +2026-04-09 02:29:16,650 - INFO - Weighted F1: 0.5463 +2026-04-09 02:29:16,650 - INFO - +2026-04-09 02:29:16,650 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8368 +2026-04-09 02:29:16,650 - INFO - Horizon 0.5s - Overall F1: 0.8414, Precision: 0.8398, Recall: 0.8527 +2026-04-09 02:29:16,650 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:29:16,650 - INFO - Macro F1: 0.8414 +2026-04-09 02:29:16,650 - INFO - Weighted F1: 0.8335 +2026-04-09 02:29:16,650 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9010 +2026-04-09 02:29:16,650 - INFO - Horizon 0.5s - Steady F1: 0.8869, Precision: 0.8898, Recall: 0.8953 +2026-04-09 02:29:16,650 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:29:16,651 - INFO - Macro F1: 0.8869 +2026-04-09 02:29:16,651 - INFO - Weighted F1: 0.8991 +2026-04-09 02:29:16,651 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5394 +2026-04-09 02:29:16,651 - INFO - Horizon 0.5s - Transition F1: 0.5991, Precision: 0.5955, Recall: 0.6293 +2026-04-09 02:29:16,651 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:29:16,651 - INFO - Macro F1: 0.5991 +2026-04-09 02:29:16,651 - INFO - Weighted F1: 0.5379 +2026-04-09 02:29:16,651 - INFO - +2026-04-09 02:29:16,651 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8080 +2026-04-09 02:29:16,651 - INFO - Horizon 1.0s - Overall F1: 0.8163, Precision: 0.8201, Recall: 0.8234 +2026-04-09 02:29:16,651 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:29:16,651 - INFO - Macro F1: 0.8163 +2026-04-09 02:29:16,651 - INFO - Weighted F1: 0.8024 +2026-04-09 02:29:16,651 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8810 +2026-04-09 02:29:16,651 - INFO - Horizon 1.0s - Steady F1: 0.8661, Precision: 0.8747, Recall: 0.8702 +2026-04-09 02:29:16,651 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:29:16,651 - INFO - Macro F1: 0.8661 +2026-04-09 02:29:16,651 - INFO - Weighted F1: 0.8778 +2026-04-09 02:29:16,651 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4626 +2026-04-09 02:29:16,652 - INFO - Horizon 1.0s - Transition F1: 0.5666, Precision: 0.5809, Recall: 0.5782 +2026-04-09 02:29:16,652 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:29:16,652 - INFO - Macro F1: 0.5666 +2026-04-09 02:29:16,652 - INFO - Weighted F1: 0.4595 +2026-04-09 02:29:16,954 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_24.pt +2026-04-09 02:29:16,958 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,959 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:29:16,960 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,961 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,961 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:29:16,962 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:16,963 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:16,964 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:29:16,965 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:16,965 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,966 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:29:16,967 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,968 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,968 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:29:16,969 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:16,970 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:16,971 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:29:16,971 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:16,972 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,973 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:29:16,974 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,975 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,975 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:29:16,976 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:16,977 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:16,978 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:29:16,978 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:16,979 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,980 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:29:16,981 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,982 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,982 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:29:16,984 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:16,985 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:16,986 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:29:16,987 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:16,988 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,989 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:29:16,990 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,991 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,991 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:29:16,992 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:16,993 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:16,994 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:29:16,994 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:16,995 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_24.csv +2026-04-09 02:29:16,996 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:29:16,997 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:29:16,998 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_24.csv +2026-04-09 02:29:16,999 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:29:17,000 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:29:17,000 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_24.csv +2026-04-09 02:29:17,001 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:29:17,002 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:29:17,015 - INFO - Removed old checkpoint: checkpoint_epoch_23.pt +2026-04-09 02:29:17,387 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:29:17,411 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:29:17,579 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:29:17,581 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:29:17,582 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:29:17,583 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:29:17,585 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:29:17,586 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:29:17,587 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:29:17,587 - INFO - Epoch 25/50, Learning Rate: 0.000107 +2026-04-09 02:30:07,402 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:30:07,470 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:30:07,526 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:30:07,582 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:30:07,637 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:30:07,693 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:30:09,792 - INFO - Epoch 25/50: +2026-04-09 02:30:09,792 - INFO - Train: loss=0.7278, accuracy_overall=0.9058 +2026-04-09 02:30:09,792 - INFO - Horizon 0.0s: accuracy=0.9045 +2026-04-09 02:30:09,792 - INFO - Horizon 0.1s: accuracy=0.9169 +2026-04-09 02:30:09,792 - INFO - Horizon 0.2s: accuracy=0.9165 +2026-04-09 02:30:09,793 - INFO - Horizon 0.3s: accuracy=0.9124 +2026-04-09 02:30:09,793 - INFO - Horizon 0.5s: accuracy=0.9105 +2026-04-09 02:30:09,793 - INFO - Horizon 1.0s: accuracy=0.8740 +2026-04-09 02:30:09,793 - INFO - Val Horizon 0.0s - Overall: loss=0.8874, accuracy=0.8331 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Overall F1: 0.8363, Precision: 0.8388, Recall: 0.8520 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:30:09,793 - INFO - Macro F1: 0.8363 +2026-04-09 02:30:09,793 - INFO - Weighted F1: 0.8347 +2026-04-09 02:30:09,793 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9010 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Steady F1: 0.8838, Precision: 0.8785, Recall: 0.9066 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:30:09,793 - INFO - Macro F1: 0.8838 +2026-04-09 02:30:09,793 - INFO - Weighted F1: 0.9031 +2026-04-09 02:30:09,793 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5195 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Transition F1: 0.5731, Precision: 0.5883, Recall: 0.5951 +2026-04-09 02:30:09,793 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:30:09,793 - INFO - Macro F1: 0.5731 +2026-04-09 02:30:09,793 - INFO - Weighted F1: 0.5055 +2026-04-09 02:30:09,793 - INFO - +2026-04-09 02:30:09,794 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8373 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Overall F1: 0.8390, Precision: 0.8440, Recall: 0.8573 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:30:09,794 - INFO - Macro F1: 0.8390 +2026-04-09 02:30:09,794 - INFO - Weighted F1: 0.8369 +2026-04-09 02:30:09,794 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9030 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Steady F1: 0.8861, Precision: 0.8846, Recall: 0.9100 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:30:09,794 - INFO - Macro F1: 0.8861 +2026-04-09 02:30:09,794 - INFO - Weighted F1: 0.9047 +2026-04-09 02:30:09,794 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5385 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Transition F1: 0.5759, Precision: 0.5861, Recall: 0.6140 +2026-04-09 02:30:09,794 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:30:09,794 - INFO - Macro F1: 0.5759 +2026-04-09 02:30:09,794 - INFO - Weighted F1: 0.5138 +2026-04-09 02:30:09,794 - INFO - +2026-04-09 02:30:09,794 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8425 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Overall F1: 0.8464, Precision: 0.8512, Recall: 0.8638 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:30:09,795 - INFO - Macro F1: 0.8464 +2026-04-09 02:30:09,795 - INFO - Weighted F1: 0.8400 +2026-04-09 02:30:09,795 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9041 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Steady F1: 0.8901, Precision: 0.8899, Recall: 0.9107 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:30:09,795 - INFO - Macro F1: 0.8901 +2026-04-09 02:30:09,795 - INFO - Weighted F1: 0.9044 +2026-04-09 02:30:09,795 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5553 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Transition F1: 0.6085, Precision: 0.6099, Recall: 0.6510 +2026-04-09 02:30:09,795 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:30:09,795 - INFO - Macro F1: 0.6085 +2026-04-09 02:30:09,795 - INFO - Weighted F1: 0.5296 +2026-04-09 02:30:09,795 - INFO - +2026-04-09 02:30:09,795 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8368 +2026-04-09 02:30:09,795 - INFO - Horizon 0.3s - Overall F1: 0.8428, Precision: 0.8480, Recall: 0.8623 +2026-04-09 02:30:09,795 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:30:09,795 - INFO - Macro F1: 0.8428 +2026-04-09 02:30:09,796 - INFO - Weighted F1: 0.8339 +2026-04-09 02:30:09,796 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9006 +2026-04-09 02:30:09,796 - INFO - Horizon 0.3s - Steady F1: 0.8860, Precision: 0.8861, Recall: 0.9056 +2026-04-09 02:30:09,796 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:30:09,796 - INFO - Macro F1: 0.8860 +2026-04-09 02:30:09,796 - INFO - Weighted F1: 0.9004 +2026-04-09 02:30:09,796 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5467 +2026-04-09 02:30:09,796 - INFO - Horizon 0.3s - Transition F1: 0.6130, Precision: 0.6083, Recall: 0.6610 +2026-04-09 02:30:09,796 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:30:09,796 - INFO - Macro F1: 0.6130 +2026-04-09 02:30:09,796 - INFO - Weighted F1: 0.5217 +2026-04-09 02:30:09,796 - INFO - +2026-04-09 02:30:09,796 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8287 +2026-04-09 02:30:09,796 - INFO - Horizon 0.5s - Overall F1: 0.8389, Precision: 0.8461, Recall: 0.8485 +2026-04-09 02:30:09,796 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:30:09,796 - INFO - Macro F1: 0.8389 +2026-04-09 02:30:09,796 - INFO - Weighted F1: 0.8241 +2026-04-09 02:30:09,796 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.8924 +2026-04-09 02:30:09,796 - INFO - Horizon 0.5s - Steady F1: 0.8823, Precision: 0.8803, Recall: 0.8961 +2026-04-09 02:30:09,796 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:30:09,796 - INFO - Macro F1: 0.8823 +2026-04-09 02:30:09,797 - INFO - Weighted F1: 0.8911 +2026-04-09 02:30:09,797 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5336 +2026-04-09 02:30:09,797 - INFO - Horizon 0.5s - Transition F1: 0.5856, Precision: 0.6095, Recall: 0.6051 +2026-04-09 02:30:09,797 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:30:09,797 - INFO - Macro F1: 0.5856 +2026-04-09 02:30:09,797 - INFO - Weighted F1: 0.5142 +2026-04-09 02:30:09,797 - INFO - +2026-04-09 02:30:09,797 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7966 +2026-04-09 02:30:09,797 - INFO - Horizon 1.0s - Overall F1: 0.8027, Precision: 0.8235, Recall: 0.7946 +2026-04-09 02:30:09,797 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:30:09,797 - INFO - Macro F1: 0.8027 +2026-04-09 02:30:09,797 - INFO - Weighted F1: 0.7854 +2026-04-09 02:30:09,797 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8709 +2026-04-09 02:30:09,797 - INFO - Horizon 1.0s - Steady F1: 0.8461, Precision: 0.8595, Recall: 0.8402 +2026-04-09 02:30:09,797 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:30:09,797 - INFO - Macro F1: 0.8461 +2026-04-09 02:30:09,797 - INFO - Weighted F1: 0.8652 +2026-04-09 02:30:09,797 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4457 +2026-04-09 02:30:09,798 - INFO - Horizon 1.0s - Transition F1: 0.5438, Precision: 0.5951, Recall: 0.5362 +2026-04-09 02:30:09,798 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:30:09,798 - INFO - Macro F1: 0.5438 +2026-04-09 02:30:09,798 - INFO - Weighted F1: 0.4313 +2026-04-09 02:30:09,975 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_25.pt +2026-04-09 02:30:09,977 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,978 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,978 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:09,979 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,980 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,981 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:09,981 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,982 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,983 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:09,983 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,984 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,985 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:09,986 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,986 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,987 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:09,988 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_25.csv +2026-04-09 02:30:09,988 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_25.csv +2026-04-09 02:30:09,989 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_25.csv +2026-04-09 02:30:10,015 - INFO - Removed old checkpoint: checkpoint_epoch_24.pt +2026-04-09 02:30:10,016 - INFO - Epoch 26/50, Learning Rate: 0.000100 +2026-04-09 02:31:02,795 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:31:02,872 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:31:02,967 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:31:03,065 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:31:03,130 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:31:03,197 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:31:05,447 - INFO - Epoch 26/50: +2026-04-09 02:31:05,447 - INFO - Train: loss=0.7191, accuracy_overall=0.9094 +2026-04-09 02:31:05,447 - INFO - Horizon 0.0s: accuracy=0.9159 +2026-04-09 02:31:05,448 - INFO - Horizon 0.1s: accuracy=0.9169 +2026-04-09 02:31:05,448 - INFO - Horizon 0.2s: accuracy=0.9188 +2026-04-09 02:31:05,448 - INFO - Horizon 0.3s: accuracy=0.9192 +2026-04-09 02:31:05,448 - INFO - Horizon 0.5s: accuracy=0.9114 +2026-04-09 02:31:05,448 - INFO - Horizon 1.0s: accuracy=0.8745 +2026-04-09 02:31:05,448 - INFO - Val Horizon 0.0s - Overall: loss=0.8527, accuracy=0.8417 +2026-04-09 02:31:05,448 - INFO - Horizon 0.0s - Overall F1: 0.8434, Precision: 0.8390, Recall: 0.8500 +2026-04-09 02:31:05,448 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:31:05,448 - INFO - Macro F1: 0.8434 +2026-04-09 02:31:05,448 - INFO - Weighted F1: 0.8422 +2026-04-09 02:31:05,448 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9083 +2026-04-09 02:31:05,448 - INFO - Horizon 0.0s - Steady F1: 0.8962, Precision: 0.8862, Recall: 0.9083 +2026-04-09 02:31:05,448 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:31:05,449 - INFO - Macro F1: 0.8962 +2026-04-09 02:31:05,449 - INFO - Weighted F1: 0.9095 +2026-04-09 02:31:05,449 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5341 +2026-04-09 02:31:05,449 - INFO - Horizon 0.0s - Transition F1: 0.5677, Precision: 0.5658, Recall: 0.5834 +2026-04-09 02:31:05,449 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:31:05,449 - INFO - Macro F1: 0.5677 +2026-04-09 02:31:05,449 - INFO - Weighted F1: 0.5292 +2026-04-09 02:31:05,449 - INFO - +2026-04-09 02:31:05,449 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8536 +2026-04-09 02:31:05,449 - INFO - Horizon 0.1s - Overall F1: 0.8585, Precision: 0.8509, Recall: 0.8689 +2026-04-09 02:31:05,449 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:31:05,449 - INFO - Macro F1: 0.8585 +2026-04-09 02:31:05,449 - INFO - Weighted F1: 0.8547 +2026-04-09 02:31:05,449 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9171 +2026-04-09 02:31:05,449 - INFO - Horizon 0.1s - Steady F1: 0.9087, Precision: 0.8978, Recall: 0.9218 +2026-04-09 02:31:05,449 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:31:05,449 - INFO - Macro F1: 0.9087 +2026-04-09 02:31:05,449 - INFO - Weighted F1: 0.9181 +2026-04-09 02:31:05,449 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5649 +2026-04-09 02:31:05,450 - INFO - Horizon 0.1s - Transition F1: 0.5942, Precision: 0.5835, Recall: 0.6202 +2026-04-09 02:31:05,450 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:31:05,450 - INFO - Macro F1: 0.5942 +2026-04-09 02:31:05,450 - INFO - Weighted F1: 0.5606 +2026-04-09 02:31:05,450 - INFO - +2026-04-09 02:31:05,450 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8492 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Overall F1: 0.8601, Precision: 0.8511, Recall: 0.8722 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:31:05,450 - INFO - Macro F1: 0.8601 +2026-04-09 02:31:05,450 - INFO - Weighted F1: 0.8504 +2026-04-09 02:31:05,450 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9114 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Steady F1: 0.9058, Precision: 0.8962, Recall: 0.9176 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:31:05,450 - INFO - Macro F1: 0.9058 +2026-04-09 02:31:05,450 - INFO - Weighted F1: 0.9123 +2026-04-09 02:31:05,450 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5592 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Transition F1: 0.6133, Precision: 0.5953, Recall: 0.6488 +2026-04-09 02:31:05,450 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:31:05,450 - INFO - Macro F1: 0.6133 +2026-04-09 02:31:05,451 - INFO - Weighted F1: 0.5524 +2026-04-09 02:31:05,451 - INFO - +2026-04-09 02:31:05,451 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8484 +2026-04-09 02:31:05,451 - INFO - Horizon 0.3s - Overall F1: 0.8602, Precision: 0.8517, Recall: 0.8718 +2026-04-09 02:31:05,451 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:31:05,451 - INFO - Macro F1: 0.8602 +2026-04-09 02:31:05,451 - INFO - Weighted F1: 0.8495 +2026-04-09 02:31:05,451 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9125 +2026-04-09 02:31:05,451 - INFO - Horizon 0.3s - Steady F1: 0.9076, Precision: 0.8964, Recall: 0.9215 +2026-04-09 02:31:05,451 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:31:05,451 - INFO - Macro F1: 0.9076 +2026-04-09 02:31:05,451 - INFO - Weighted F1: 0.9134 +2026-04-09 02:31:05,451 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5567 +2026-04-09 02:31:05,452 - INFO - Horizon 0.3s - Transition F1: 0.6158, Precision: 0.6060, Recall: 0.6375 +2026-04-09 02:31:05,452 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:31:05,452 - INFO - Macro F1: 0.6158 +2026-04-09 02:31:05,452 - INFO - Weighted F1: 0.5507 +2026-04-09 02:31:05,452 - INFO - +2026-04-09 02:31:05,452 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8497 +2026-04-09 02:31:05,452 - INFO - Horizon 0.5s - Overall F1: 0.8590, Precision: 0.8553, Recall: 0.8662 +2026-04-09 02:31:05,452 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:31:05,452 - INFO - Macro F1: 0.8590 +2026-04-09 02:31:05,452 - INFO - Weighted F1: 0.8494 +2026-04-09 02:31:05,452 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9097 +2026-04-09 02:31:05,452 - INFO - Horizon 0.5s - Steady F1: 0.9047, Precision: 0.8933, Recall: 0.9191 +2026-04-09 02:31:05,452 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:31:05,453 - INFO - Macro F1: 0.9047 +2026-04-09 02:31:05,453 - INFO - Weighted F1: 0.9103 +2026-04-09 02:31:05,453 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5714 +2026-04-09 02:31:05,453 - INFO - Horizon 0.5s - Transition F1: 0.5960, Precision: 0.6178, Recall: 0.6016 +2026-04-09 02:31:05,453 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:31:05,453 - INFO - Macro F1: 0.5960 +2026-04-09 02:31:05,453 - INFO - Weighted F1: 0.5679 +2026-04-09 02:31:05,453 - INFO - +2026-04-09 02:31:05,453 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8216 +2026-04-09 02:31:05,453 - INFO - Horizon 1.0s - Overall F1: 0.8325, Precision: 0.8370, Recall: 0.8322 +2026-04-09 02:31:05,453 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:31:05,453 - INFO - Macro F1: 0.8325 +2026-04-09 02:31:05,453 - INFO - Weighted F1: 0.8208 +2026-04-09 02:31:05,453 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8879 +2026-04-09 02:31:05,453 - INFO - Horizon 1.0s - Steady F1: 0.8776, Precision: 0.8773, Recall: 0.8811 +2026-04-09 02:31:05,453 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:31:05,454 - INFO - Macro F1: 0.8776 +2026-04-09 02:31:05,454 - INFO - Weighted F1: 0.8876 +2026-04-09 02:31:05,454 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5081 +2026-04-09 02:31:05,454 - INFO - Horizon 1.0s - Transition F1: 0.5781, Precision: 0.6170, Recall: 0.5712 +2026-04-09 02:31:05,454 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:31:05,454 - INFO - Macro F1: 0.5781 +2026-04-09 02:31:05,454 - INFO - Weighted F1: 0.5083 +2026-04-09 02:31:05,751 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_26.pt +2026-04-09 02:31:05,754 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,755 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,755 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,756 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,757 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,758 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,759 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,760 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,760 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,761 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,762 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,763 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,764 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,764 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,765 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,766 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_26.csv +2026-04-09 02:31:05,767 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_26.csv +2026-04-09 02:31:05,768 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_26.csv +2026-04-09 02:31:05,772 - INFO - Removed old checkpoint: checkpoint_epoch_25.pt +2026-04-09 02:31:05,773 - INFO - Epoch 27/50, Learning Rate: 0.000094 +2026-04-09 02:31:58,432 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:31:58,542 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:31:58,625 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:31:58,716 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:31:58,785 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:31:58,854 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:32:01,171 - INFO - Epoch 27/50: +2026-04-09 02:32:01,171 - INFO - Train: loss=0.7131, accuracy_overall=0.9130 +2026-04-09 02:32:01,171 - INFO - Horizon 0.0s: accuracy=0.9194 +2026-04-09 02:32:01,172 - INFO - Horizon 0.1s: accuracy=0.9210 +2026-04-09 02:32:01,172 - INFO - Horizon 0.2s: accuracy=0.9236 +2026-04-09 02:32:01,172 - INFO - Horizon 0.3s: accuracy=0.9216 +2026-04-09 02:32:01,172 - INFO - Horizon 0.5s: accuracy=0.9158 +2026-04-09 02:32:01,172 - INFO - Horizon 1.0s: accuracy=0.8766 +2026-04-09 02:32:01,172 - INFO - Val Horizon 0.0s - Overall: loss=0.8556, accuracy=0.8494 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Overall F1: 0.8518, Precision: 0.8462, Recall: 0.8636 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:32:01,172 - INFO - Macro F1: 0.8518 +2026-04-09 02:32:01,172 - INFO - Weighted F1: 0.8504 +2026-04-09 02:32:01,172 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9158 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Steady F1: 0.9044, Precision: 0.8964, Recall: 0.9186 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:32:01,172 - INFO - Macro F1: 0.9044 +2026-04-09 02:32:01,172 - INFO - Weighted F1: 0.9166 +2026-04-09 02:32:01,172 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5431 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Transition F1: 0.5878, Precision: 0.5781, Recall: 0.6202 +2026-04-09 02:32:01,172 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:32:01,172 - INFO - Macro F1: 0.5878 +2026-04-09 02:32:01,172 - INFO - Weighted F1: 0.5392 +2026-04-09 02:32:01,172 - INFO - +2026-04-09 02:32:01,172 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8532 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Overall F1: 0.8570, Precision: 0.8498, Recall: 0.8707 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:32:01,173 - INFO - Macro F1: 0.8570 +2026-04-09 02:32:01,173 - INFO - Weighted F1: 0.8546 +2026-04-09 02:32:01,173 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9172 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Steady F1: 0.9060, Precision: 0.8985, Recall: 0.9216 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:32:01,173 - INFO - Macro F1: 0.9060 +2026-04-09 02:32:01,173 - INFO - Weighted F1: 0.9183 +2026-04-09 02:32:01,173 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5618 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Transition F1: 0.5966, Precision: 0.5830, Recall: 0.6339 +2026-04-09 02:32:01,173 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:32:01,173 - INFO - Macro F1: 0.5966 +2026-04-09 02:32:01,173 - INFO - Weighted F1: 0.5555 +2026-04-09 02:32:01,173 - INFO - +2026-04-09 02:32:01,173 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8562 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Overall F1: 0.8620, Precision: 0.8561, Recall: 0.8732 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:32:01,173 - INFO - Macro F1: 0.8620 +2026-04-09 02:32:01,173 - INFO - Weighted F1: 0.8565 +2026-04-09 02:32:01,173 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9187 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Steady F1: 0.9101, Precision: 0.9044, Recall: 0.9215 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:32:01,173 - INFO - Macro F1: 0.9101 +2026-04-09 02:32:01,173 - INFO - Weighted F1: 0.9192 +2026-04-09 02:32:01,173 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5650 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Transition F1: 0.6101, Precision: 0.5949, Recall: 0.6465 +2026-04-09 02:32:01,173 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:32:01,174 - INFO - Macro F1: 0.6101 +2026-04-09 02:32:01,174 - INFO - Weighted F1: 0.5569 +2026-04-09 02:32:01,174 - INFO - +2026-04-09 02:32:01,174 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8540 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Overall F1: 0.8635, Precision: 0.8575, Recall: 0.8763 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:32:01,174 - INFO - Macro F1: 0.8635 +2026-04-09 02:32:01,174 - INFO - Weighted F1: 0.8542 +2026-04-09 02:32:01,174 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9182 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Steady F1: 0.9099, Precision: 0.9052, Recall: 0.9219 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:32:01,174 - INFO - Macro F1: 0.9099 +2026-04-09 02:32:01,174 - INFO - Weighted F1: 0.9185 +2026-04-09 02:32:01,174 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5618 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Transition F1: 0.6220, Precision: 0.6059, Recall: 0.6593 +2026-04-09 02:32:01,174 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:32:01,174 - INFO - Macro F1: 0.6220 +2026-04-09 02:32:01,174 - INFO - Weighted F1: 0.5529 +2026-04-09 02:32:01,174 - INFO - +2026-04-09 02:32:01,174 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8503 +2026-04-09 02:32:01,174 - INFO - Horizon 0.5s - Overall F1: 0.8596, Precision: 0.8618, Recall: 0.8625 +2026-04-09 02:32:01,174 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:32:01,174 - INFO - Macro F1: 0.8596 +2026-04-09 02:32:01,174 - INFO - Weighted F1: 0.8495 +2026-04-09 02:32:01,175 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9132 +2026-04-09 02:32:01,175 - INFO - Horizon 0.5s - Steady F1: 0.9073, Precision: 0.9036, Recall: 0.9155 +2026-04-09 02:32:01,175 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:32:01,175 - INFO - Macro F1: 0.9073 +2026-04-09 02:32:01,175 - INFO - Weighted F1: 0.9134 +2026-04-09 02:32:01,175 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5586 +2026-04-09 02:32:01,175 - INFO - Horizon 0.5s - Transition F1: 0.5922, Precision: 0.6133, Recall: 0.6019 +2026-04-09 02:32:01,175 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:32:01,175 - INFO - Macro F1: 0.5922 +2026-04-09 02:32:01,175 - INFO - Weighted F1: 0.5562 +2026-04-09 02:32:01,175 - INFO - +2026-04-09 02:32:01,175 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8160 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Overall F1: 0.8269, Precision: 0.8409, Recall: 0.8179 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:32:01,175 - INFO - Macro F1: 0.8269 +2026-04-09 02:32:01,175 - INFO - Weighted F1: 0.8127 +2026-04-09 02:32:01,175 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8843 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Steady F1: 0.8721, Precision: 0.8797, Recall: 0.8668 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:32:01,175 - INFO - Macro F1: 0.8721 +2026-04-09 02:32:01,175 - INFO - Weighted F1: 0.8830 +2026-04-09 02:32:01,175 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4932 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Transition F1: 0.5615, Precision: 0.5962, Recall: 0.5566 +2026-04-09 02:32:01,175 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:32:01,175 - INFO - Macro F1: 0.5615 +2026-04-09 02:32:01,176 - INFO - Weighted F1: 0.4847 +2026-04-09 02:32:01,417 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_27.pt +2026-04-09 02:32:01,419 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_27.csv +2026-04-09 02:32:01,420 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:32:01,421 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:32:01,421 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,422 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:32:01,423 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:32:01,424 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_27.csv +2026-04-09 02:32:01,425 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:32:01,425 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:32:01,426 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_27.csv +2026-04-09 02:32:01,427 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:32:01,428 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:32:01,429 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,429 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:32:01,430 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:32:01,431 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_27.csv +2026-04-09 02:32:01,431 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:32:01,432 - INFO - Saved best transition horizon 0.1s confusion matrix: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,436 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:32:01,436 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:32:01,437 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_27.csv +2026-04-09 02:32:01,438 - INFO - Saved best transition horizon 0.2s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:32:01,442 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,442 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:32:01,443 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:32:01,444 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_27.csv +2026-04-09 02:32:01,444 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:32:01,445 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:32:01,446 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_27.csv +2026-04-09 02:32:01,446 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:32:01,447 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:32:01,447 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,448 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:32:01,449 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:32:01,450 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_27.csv +2026-04-09 02:32:01,450 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:32:01,451 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:32:01,452 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_27.csv +2026-04-09 02:32:01,452 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:32:01,453 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:32:01,454 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_27.csv +2026-04-09 02:32:01,455 - INFO - Saved best steady horizon 1.0s model metrics: 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train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:32:01,464 - INFO - Removed old checkpoint: checkpoint_epoch_26.pt +2026-04-09 02:32:01,699 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:32:01,715 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:32:01,867 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:32:01,868 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:32:01,869 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:32:01,871 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:32:01,872 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:32:01,873 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:32:01,874 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:32:01,874 - INFO - Epoch 28/50, Learning Rate: 0.000088 +2026-04-09 02:33:00,807 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:33:00,875 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:33:00,936 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:33:00,994 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:33:01,055 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:33:01,164 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:33:03,174 - INFO - Epoch 28/50: +2026-04-09 02:33:03,175 - INFO - Train: loss=0.7146, accuracy_overall=0.9125 +2026-04-09 02:33:03,175 - INFO - Horizon 0.0s: accuracy=0.9171 +2026-04-09 02:33:03,175 - INFO - Horizon 0.1s: accuracy=0.9239 +2026-04-09 02:33:03,175 - INFO - Horizon 0.2s: accuracy=0.9274 +2026-04-09 02:33:03,175 - INFO - Horizon 0.3s: accuracy=0.9196 +2026-04-09 02:33:03,175 - INFO - Horizon 0.5s: accuracy=0.9110 +2026-04-09 02:33:03,175 - INFO - Horizon 1.0s: accuracy=0.8762 +2026-04-09 02:33:03,175 - INFO - Val Horizon 0.0s - Overall: loss=0.8614, accuracy=0.8460 +2026-04-09 02:33:03,175 - INFO - Horizon 0.0s - Overall F1: 0.8480, Precision: 0.8401, Recall: 0.8633 +2026-04-09 02:33:03,175 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:33:03,175 - INFO - Macro F1: 0.8480 +2026-04-09 02:33:03,176 - INFO - Weighted F1: 0.8459 +2026-04-09 02:33:03,176 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9107 +2026-04-09 02:33:03,176 - INFO - Horizon 0.0s - Steady F1: 0.8987, Precision: 0.8894, Recall: 0.9161 +2026-04-09 02:33:03,176 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:33:03,176 - INFO - Macro F1: 0.8987 +2026-04-09 02:33:03,176 - INFO - Weighted F1: 0.9111 +2026-04-09 02:33:03,176 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5475 +2026-04-09 02:33:03,176 - INFO - Horizon 0.0s - Transition F1: 0.5974, Precision: 0.5750, Recall: 0.6347 +2026-04-09 02:33:03,176 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:33:03,176 - INFO - Macro F1: 0.5974 +2026-04-09 02:33:03,176 - INFO - Weighted F1: 0.5431 +2026-04-09 02:33:03,176 - INFO - +2026-04-09 02:33:03,177 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8494 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Overall F1: 0.8525, Precision: 0.8440, Recall: 0.8700 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:33:03,177 - INFO - Macro F1: 0.8525 +2026-04-09 02:33:03,177 - INFO - Weighted F1: 0.8490 +2026-04-09 02:33:03,177 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9121 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Steady F1: 0.9002, Precision: 0.8914, Recall: 0.9192 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:33:03,177 - INFO - Macro F1: 0.9002 +2026-04-09 02:33:03,177 - INFO - Weighted F1: 0.9126 +2026-04-09 02:33:03,177 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5643 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Transition F1: 0.6115, Precision: 0.5867, Recall: 0.6600 +2026-04-09 02:33:03,177 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:33:03,177 - INFO - Macro F1: 0.6115 +2026-04-09 02:33:03,178 - INFO - Weighted F1: 0.5564 +2026-04-09 02:33:03,178 - INFO - +2026-04-09 02:33:03,178 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8453 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Overall F1: 0.8518, Precision: 0.8457, Recall: 0.8666 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:33:03,178 - INFO - Macro F1: 0.8518 +2026-04-09 02:33:03,178 - INFO - Weighted F1: 0.8452 +2026-04-09 02:33:03,178 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9071 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Steady F1: 0.8988, Precision: 0.8898, Recall: 0.9154 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:33:03,178 - INFO - Macro F1: 0.8988 +2026-04-09 02:33:03,178 - INFO - Weighted F1: 0.9079 +2026-04-09 02:33:03,178 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5573 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Transition F1: 0.6118, Precision: 0.5969, Recall: 0.6527 +2026-04-09 02:33:03,178 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:33:03,178 - INFO - Macro F1: 0.6118 +2026-04-09 02:33:03,179 - INFO - Weighted F1: 0.5457 +2026-04-09 02:33:03,179 - INFO - +2026-04-09 02:33:03,179 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8428 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Overall F1: 0.8525, Precision: 0.8463, Recall: 0.8663 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:33:03,179 - INFO - Macro F1: 0.8525 +2026-04-09 02:33:03,179 - INFO - Weighted F1: 0.8429 +2026-04-09 02:33:03,179 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9074 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Steady F1: 0.9002, Precision: 0.8917, Recall: 0.9148 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:33:03,179 - INFO - Macro F1: 0.9002 +2026-04-09 02:33:03,179 - INFO - Weighted F1: 0.9079 +2026-04-09 02:33:03,179 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5492 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Transition F1: 0.5986, Precision: 0.5855, Recall: 0.6406 +2026-04-09 02:33:03,179 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:33:03,179 - INFO - Macro F1: 0.5986 +2026-04-09 02:33:03,179 - INFO - Weighted F1: 0.5380 +2026-04-09 02:33:03,179 - INFO - +2026-04-09 02:33:03,179 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8403 +2026-04-09 02:33:03,179 - INFO - Horizon 0.5s - Overall F1: 0.8482, Precision: 0.8498, Recall: 0.8528 +2026-04-09 02:33:03,179 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:33:03,179 - INFO - Macro F1: 0.8482 +2026-04-09 02:33:03,179 - INFO - Weighted F1: 0.8390 +2026-04-09 02:33:03,180 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9027 +2026-04-09 02:33:03,180 - INFO - Horizon 0.5s - Steady F1: 0.8949, Precision: 0.8888, Recall: 0.9051 +2026-04-09 02:33:03,180 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:33:03,180 - INFO - Macro F1: 0.8949 +2026-04-09 02:33:03,180 - INFO - Weighted F1: 0.9029 +2026-04-09 02:33:03,180 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5509 +2026-04-09 02:33:03,180 - INFO - Horizon 0.5s - Transition F1: 0.5765, Precision: 0.5971, Recall: 0.5896 +2026-04-09 02:33:03,180 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:33:03,180 - INFO - Macro F1: 0.5765 +2026-04-09 02:33:03,180 - INFO - Weighted F1: 0.5466 +2026-04-09 02:33:03,180 - INFO - +2026-04-09 02:33:03,180 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8115 +2026-04-09 02:33:03,180 - INFO - Horizon 1.0s - Overall F1: 0.8228, Precision: 0.8288, Recall: 0.8205 +2026-04-09 02:33:03,180 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:33:03,180 - INFO - Macro F1: 0.8228 +2026-04-09 02:33:03,180 - INFO - Weighted F1: 0.8087 +2026-04-09 02:33:03,180 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8784 +2026-04-09 02:33:03,180 - INFO - Horizon 1.0s - Steady F1: 0.8672, Precision: 0.8656, Recall: 0.8709 +2026-04-09 02:33:03,180 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:33:03,180 - INFO - Macro F1: 0.8672 +2026-04-09 02:33:03,180 - INFO - Weighted F1: 0.8775 +2026-04-09 02:33:03,180 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4951 +2026-04-09 02:33:03,180 - INFO - Horizon 1.0s - Transition F1: 0.5541, Precision: 0.5957, Recall: 0.5460 +2026-04-09 02:33:03,181 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:33:03,181 - INFO - Macro F1: 0.5541 +2026-04-09 02:33:03,181 - INFO - Weighted F1: 0.4894 +2026-04-09 02:33:03,421 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_28.pt +2026-04-09 02:33:03,424 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,424 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,425 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,426 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,427 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,427 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,428 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,429 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,430 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,431 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,431 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,432 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,433 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,434 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,435 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,435 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_28.csv +2026-04-09 02:33:03,436 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_28.csv +2026-04-09 02:33:03,437 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_28.csv +2026-04-09 02:33:03,450 - INFO - Removed old checkpoint: checkpoint_epoch_27.pt +2026-04-09 02:33:03,452 - INFO - Epoch 29/50, Learning Rate: 0.000082 +2026-04-09 02:33:55,017 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:33:55,094 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:33:55,163 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:33:55,229 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:33:55,289 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:33:55,347 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:33:57,273 - INFO - Epoch 29/50: +2026-04-09 02:33:57,274 - INFO - Train: loss=0.7131, accuracy_overall=0.9146 +2026-04-09 02:33:57,274 - INFO - Horizon 0.0s: accuracy=0.9175 +2026-04-09 02:33:57,274 - INFO - Horizon 0.1s: accuracy=0.9232 +2026-04-09 02:33:57,274 - INFO - Horizon 0.2s: accuracy=0.9247 +2026-04-09 02:33:57,274 - INFO - Horizon 0.3s: accuracy=0.9234 +2026-04-09 02:33:57,274 - INFO - Horizon 0.5s: accuracy=0.9158 +2026-04-09 02:33:57,274 - INFO - Horizon 1.0s: accuracy=0.8829 +2026-04-09 02:33:57,274 - INFO - Val Horizon 0.0s - Overall: loss=0.8698, accuracy=0.8405 +2026-04-09 02:33:57,274 - INFO - Horizon 0.0s - Overall F1: 0.8388, Precision: 0.8382, Recall: 0.8478 +2026-04-09 02:33:57,275 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:33:57,275 - INFO - Macro F1: 0.8388 +2026-04-09 02:33:57,275 - INFO - Weighted F1: 0.8414 +2026-04-09 02:33:57,275 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9092 +2026-04-09 02:33:57,275 - INFO - Horizon 0.0s - Steady F1: 0.8900, Precision: 0.8854, Recall: 0.9028 +2026-04-09 02:33:57,275 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:33:57,275 - INFO - Macro F1: 0.8900 +2026-04-09 02:33:57,275 - INFO - Weighted F1: 0.9101 +2026-04-09 02:33:57,275 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5233 +2026-04-09 02:33:57,275 - INFO - Horizon 0.0s - Transition F1: 0.5552, Precision: 0.5594, Recall: 0.5749 +2026-04-09 02:33:57,275 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:33:57,276 - INFO - Macro F1: 0.5552 +2026-04-09 02:33:57,276 - INFO - Weighted F1: 0.5175 +2026-04-09 02:33:57,276 - INFO - +2026-04-09 02:33:57,276 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8451 +2026-04-09 02:33:57,276 - INFO - Horizon 0.1s - Overall F1: 0.8441, Precision: 0.8439, Recall: 0.8539 +2026-04-09 02:33:57,276 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:33:57,276 - INFO - Macro F1: 0.8441 +2026-04-09 02:33:57,276 - INFO - Weighted F1: 0.8450 +2026-04-09 02:33:57,276 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9110 +2026-04-09 02:33:57,276 - INFO - Horizon 0.1s - Steady F1: 0.8930, Precision: 0.8900, Recall: 0.9059 +2026-04-09 02:33:57,276 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:33:57,277 - INFO - Macro F1: 0.8930 +2026-04-09 02:33:57,277 - INFO - Weighted F1: 0.9116 +2026-04-09 02:33:57,277 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5454 +2026-04-09 02:33:57,277 - INFO - Horizon 0.1s - Transition F1: 0.5737, Precision: 0.5774, Recall: 0.5945 +2026-04-09 02:33:57,277 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:33:57,277 - INFO - Macro F1: 0.5737 +2026-04-09 02:33:57,277 - INFO - Weighted F1: 0.5378 +2026-04-09 02:33:57,277 - INFO - +2026-04-09 02:33:57,277 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8464 +2026-04-09 02:33:57,277 - INFO - Horizon 0.2s - Overall F1: 0.8468, Precision: 0.8492, Recall: 0.8517 +2026-04-09 02:33:57,277 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:33:57,277 - INFO - Macro F1: 0.8468 +2026-04-09 02:33:57,277 - INFO - Weighted F1: 0.8441 +2026-04-09 02:33:57,277 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9103 +2026-04-09 02:33:57,277 - INFO - Horizon 0.2s - Steady F1: 0.8953, Precision: 0.8958, Recall: 0.9011 +2026-04-09 02:33:57,277 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:33:57,277 - INFO - Macro F1: 0.8953 +2026-04-09 02:33:57,277 - INFO - Weighted F1: 0.9096 +2026-04-09 02:33:57,278 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5483 +2026-04-09 02:33:57,278 - INFO - Horizon 0.2s - Transition F1: 0.5807, Precision: 0.5890, Recall: 0.5989 +2026-04-09 02:33:57,278 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:33:57,278 - INFO - Macro F1: 0.5807 +2026-04-09 02:33:57,278 - INFO - Weighted F1: 0.5387 +2026-04-09 02:33:57,278 - INFO - +2026-04-09 02:33:57,278 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8438 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Overall F1: 0.8480, Precision: 0.8530, Recall: 0.8495 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:33:57,278 - INFO - Macro F1: 0.8480 +2026-04-09 02:33:57,278 - INFO - Weighted F1: 0.8408 +2026-04-09 02:33:57,278 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9082 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Steady F1: 0.8937, Precision: 0.8974, Recall: 0.8964 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:33:57,278 - INFO - Macro F1: 0.8937 +2026-04-09 02:33:57,278 - INFO - Weighted F1: 0.9068 +2026-04-09 02:33:57,278 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5504 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Transition F1: 0.6006, Precision: 0.6091, Recall: 0.6140 +2026-04-09 02:33:57,278 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:33:57,279 - INFO - Macro F1: 0.6006 +2026-04-09 02:33:57,279 - INFO - Weighted F1: 0.5441 +2026-04-09 02:33:57,279 - INFO - +2026-04-09 02:33:57,279 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8375 +2026-04-09 02:33:57,279 - INFO - Horizon 0.5s - Overall F1: 0.8448, Precision: 0.8575, Recall: 0.8395 +2026-04-09 02:33:57,279 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:33:57,279 - INFO - Macro F1: 0.8448 +2026-04-09 02:33:57,279 - INFO - Weighted F1: 0.8336 +2026-04-09 02:33:57,279 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9021 +2026-04-09 02:33:57,279 - INFO - Horizon 0.5s - Steady F1: 0.8905, Precision: 0.8947, Recall: 0.8914 +2026-04-09 02:33:57,279 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:33:57,279 - INFO - Macro F1: 0.8905 +2026-04-09 02:33:57,279 - INFO - Weighted F1: 0.9007 +2026-04-09 02:33:57,279 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5381 +2026-04-09 02:33:57,279 - INFO - Horizon 0.5s - Transition F1: 0.5896, Precision: 0.6310, Recall: 0.5821 +2026-04-09 02:33:57,280 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:33:57,280 - INFO - Macro F1: 0.5896 +2026-04-09 02:33:57,280 - INFO - Weighted F1: 0.5341 +2026-04-09 02:33:57,280 - INFO - +2026-04-09 02:33:57,280 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8092 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Overall F1: 0.8192, Precision: 0.8331, Recall: 0.8083 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:33:57,280 - INFO - Macro F1: 0.8192 +2026-04-09 02:33:57,280 - INFO - Weighted F1: 0.8065 +2026-04-09 02:33:57,280 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8786 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Steady F1: 0.8632, Precision: 0.8678, Recall: 0.8600 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:33:57,280 - INFO - Macro F1: 0.8632 +2026-04-09 02:33:57,280 - INFO - Weighted F1: 0.8784 +2026-04-09 02:33:57,280 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4815 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Transition F1: 0.5493, Precision: 0.5984, Recall: 0.5259 +2026-04-09 02:33:57,280 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:33:57,281 - INFO - Macro F1: 0.5493 +2026-04-09 02:33:57,281 - INFO - Weighted F1: 0.4770 +2026-04-09 02:33:57,561 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_29.pt +2026-04-09 02:33:57,564 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,564 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,565 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,566 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,567 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,568 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,568 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,569 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,570 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,571 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,572 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,573 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,573 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,574 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,575 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,576 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_29.csv +2026-04-09 02:33:57,577 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_29.csv +2026-04-09 02:33:57,577 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_29.csv +2026-04-09 02:33:57,584 - INFO - Removed old checkpoint: checkpoint_epoch_28.pt +2026-04-09 02:33:57,586 - INFO - Epoch 30/50, Learning Rate: 0.000076 +2026-04-09 02:34:51,389 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:34:51,498 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:34:51,565 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:34:51,633 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:34:51,695 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:34:51,758 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:34:54,055 - INFO - Epoch 30/50: +2026-04-09 02:34:54,056 - INFO - Train: loss=0.7044, accuracy_overall=0.9165 +2026-04-09 02:34:54,056 - INFO - Horizon 0.0s: accuracy=0.9220 +2026-04-09 02:34:54,056 - INFO - Horizon 0.1s: accuracy=0.9264 +2026-04-09 02:34:54,056 - INFO - Horizon 0.2s: accuracy=0.9270 +2026-04-09 02:34:54,056 - INFO - Horizon 0.3s: accuracy=0.9262 +2026-04-09 02:34:54,056 - INFO - Horizon 0.5s: accuracy=0.9192 +2026-04-09 02:34:54,056 - INFO - Horizon 1.0s: accuracy=0.8783 +2026-04-09 02:34:54,056 - INFO - Val Horizon 0.0s - Overall: loss=0.8551, accuracy=0.8451 +2026-04-09 02:34:54,056 - INFO - Horizon 0.0s - Overall F1: 0.8497, Precision: 0.8449, Recall: 0.8595 +2026-04-09 02:34:54,056 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:34:54,056 - INFO - Macro F1: 0.8497 +2026-04-09 02:34:54,057 - INFO - Weighted F1: 0.8449 +2026-04-09 02:34:54,057 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9112 +2026-04-09 02:34:54,057 - INFO - Horizon 0.0s - Steady F1: 0.9032, Precision: 0.8933, Recall: 0.9183 +2026-04-09 02:34:54,057 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:34:54,057 - INFO - Macro F1: 0.9032 +2026-04-09 02:34:54,057 - INFO - Weighted F1: 0.9119 +2026-04-09 02:34:54,057 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5399 +2026-04-09 02:34:54,057 - INFO - Horizon 0.0s - Transition F1: 0.5849, Precision: 0.5714, Recall: 0.6169 +2026-04-09 02:34:54,057 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:34:54,057 - INFO - Macro F1: 0.5849 +2026-04-09 02:34:54,057 - INFO - Weighted F1: 0.5361 +2026-04-09 02:34:54,057 - INFO - +2026-04-09 02:34:54,057 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8495 +2026-04-09 02:34:54,057 - INFO - Horizon 0.1s - Overall F1: 0.8554, Precision: 0.8505, Recall: 0.8653 +2026-04-09 02:34:54,057 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:34:54,058 - INFO - Macro F1: 0.8554 +2026-04-09 02:34:54,058 - INFO - Weighted F1: 0.8486 +2026-04-09 02:34:54,058 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9143 +2026-04-09 02:34:54,058 - INFO - Horizon 0.1s - Steady F1: 0.9091, Precision: 0.9002, Recall: 0.9212 +2026-04-09 02:34:54,058 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:34:54,058 - INFO - Macro F1: 0.9091 +2026-04-09 02:34:54,058 - INFO - Weighted F1: 0.9145 +2026-04-09 02:34:54,058 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5549 +2026-04-09 02:34:54,058 - INFO - Horizon 0.1s - Transition F1: 0.6001, Precision: 0.5828, Recall: 0.6413 +2026-04-09 02:34:54,058 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:34:54,058 - INFO - Macro F1: 0.6001 +2026-04-09 02:34:54,058 - INFO - Weighted F1: 0.5485 +2026-04-09 02:34:54,058 - INFO - +2026-04-09 02:34:54,058 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8519 +2026-04-09 02:34:54,058 - INFO - Horizon 0.2s - Overall F1: 0.8606, Precision: 0.8578, Recall: 0.8679 +2026-04-09 02:34:54,059 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:34:54,059 - INFO - Macro F1: 0.8606 +2026-04-09 02:34:54,059 - INFO - Weighted F1: 0.8503 +2026-04-09 02:34:54,059 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9144 +2026-04-09 02:34:54,059 - INFO - Horizon 0.2s - Steady F1: 0.9121, Precision: 0.9053, Recall: 0.9209 +2026-04-09 02:34:54,059 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:34:54,059 - INFO - Macro F1: 0.9121 +2026-04-09 02:34:54,059 - INFO - Weighted F1: 0.9141 +2026-04-09 02:34:54,059 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5605 +2026-04-09 02:34:54,059 - INFO - Horizon 0.2s - Transition F1: 0.6111, Precision: 0.6036, Recall: 0.6445 +2026-04-09 02:34:54,059 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:34:54,059 - INFO - Macro F1: 0.6111 +2026-04-09 02:34:54,059 - INFO - Weighted F1: 0.5540 +2026-04-09 02:34:54,059 - INFO - +2026-04-09 02:34:54,059 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8536 +2026-04-09 02:34:54,059 - INFO - Horizon 0.3s - Overall F1: 0.8657, Precision: 0.8605, Recall: 0.8735 +2026-04-09 02:34:54,059 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:34:54,059 - INFO - Macro F1: 0.8657 +2026-04-09 02:34:54,059 - INFO - Weighted F1: 0.8532 +2026-04-09 02:34:54,059 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9170 +2026-04-09 02:34:54,059 - INFO - Horizon 0.3s - Steady F1: 0.9155, Precision: 0.9079, Recall: 0.9243 +2026-04-09 02:34:54,059 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:34:54,060 - INFO - Macro F1: 0.9155 +2026-04-09 02:34:54,060 - INFO - Weighted F1: 0.9170 +2026-04-09 02:34:54,060 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5656 +2026-04-09 02:34:54,060 - INFO - Horizon 0.3s - Transition F1: 0.6263, Precision: 0.6136, Recall: 0.6608 +2026-04-09 02:34:54,060 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:34:54,060 - INFO - Macro F1: 0.6263 +2026-04-09 02:34:54,060 - INFO - Weighted F1: 0.5608 +2026-04-09 02:34:54,060 - INFO - +2026-04-09 02:34:54,060 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8462 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Overall F1: 0.8550, Precision: 0.8619, Recall: 0.8513 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:34:54,060 - INFO - Macro F1: 0.8550 +2026-04-09 02:34:54,060 - INFO - Weighted F1: 0.8443 +2026-04-09 02:34:54,060 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9091 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Steady F1: 0.9041, Precision: 0.9028, Recall: 0.9071 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:34:54,060 - INFO - Macro F1: 0.9041 +2026-04-09 02:34:54,060 - INFO - Weighted F1: 0.9086 +2026-04-09 02:34:54,060 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5548 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Transition F1: 0.5783, Precision: 0.6229, Recall: 0.5770 +2026-04-09 02:34:54,060 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:34:54,060 - INFO - Macro F1: 0.5783 +2026-04-09 02:34:54,061 - INFO - Weighted F1: 0.5518 +2026-04-09 02:34:54,061 - INFO - +2026-04-09 02:34:54,061 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8132 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Overall F1: 0.8172, Precision: 0.8389, Recall: 0.8093 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:34:54,061 - INFO - Macro F1: 0.8172 +2026-04-09 02:34:54,061 - INFO - Weighted F1: 0.8044 +2026-04-09 02:34:54,061 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8848 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Steady F1: 0.8628, Precision: 0.8918, Recall: 0.8556 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:34:54,061 - INFO - Macro F1: 0.8628 +2026-04-09 02:34:54,061 - INFO - Weighted F1: 0.8791 +2026-04-09 02:34:54,061 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4750 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Transition F1: 0.5655, Precision: 0.6063, Recall: 0.5534 +2026-04-09 02:34:54,061 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:34:54,061 - INFO - Macro F1: 0.5655 +2026-04-09 02:34:54,061 - INFO - Weighted F1: 0.4679 +2026-04-09 02:34:54,438 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_30.pt +2026-04-09 02:34:54,443 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,445 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,447 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,448 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,449 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,450 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,451 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,452 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,453 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,455 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,456 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,457 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,458 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,459 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,462 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,463 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_30.csv +2026-04-09 02:34:54,464 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_30.csv +2026-04-09 02:34:54,467 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_30.csv +2026-04-09 02:34:54,501 - INFO - Removed old checkpoint: checkpoint_epoch_29.pt +2026-04-09 02:34:54,502 - INFO - Epoch 31/50, Learning Rate: 0.000070 +2026-04-09 02:35:43,149 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:35:43,216 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:35:43,271 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:35:43,326 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:35:43,381 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:35:43,436 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:35:45,202 - INFO - Epoch 31/50: +2026-04-09 02:35:45,202 - INFO - Train: loss=0.7008, accuracy_overall=0.9185 +2026-04-09 02:35:45,202 - INFO - Horizon 0.0s: accuracy=0.9256 +2026-04-09 02:35:45,202 - INFO - Horizon 0.1s: accuracy=0.9280 +2026-04-09 02:35:45,202 - INFO - Horizon 0.2s: accuracy=0.9285 +2026-04-09 02:35:45,202 - INFO - Horizon 0.3s: accuracy=0.9294 +2026-04-09 02:35:45,202 - INFO - Horizon 0.5s: accuracy=0.9158 +2026-04-09 02:35:45,202 - INFO - Horizon 1.0s: accuracy=0.8838 +2026-04-09 02:35:45,202 - INFO - Val Horizon 0.0s - Overall: loss=0.8649, accuracy=0.8485 +2026-04-09 02:35:45,202 - INFO - Horizon 0.0s - Overall F1: 0.8499, Precision: 0.8465, Recall: 0.8571 +2026-04-09 02:35:45,202 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:35:45,202 - INFO - Macro F1: 0.8499 +2026-04-09 02:35:45,202 - INFO - Weighted F1: 0.8467 +2026-04-09 02:35:45,202 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9173 +2026-04-09 02:35:45,202 - INFO - Horizon 0.0s - Steady F1: 0.9056, Precision: 0.9007, Recall: 0.9147 +2026-04-09 02:35:45,202 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:35:45,202 - INFO - Macro F1: 0.9056 +2026-04-09 02:35:45,202 - INFO - Weighted F1: 0.9173 +2026-04-09 02:35:45,202 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5310 +2026-04-09 02:35:45,203 - INFO - Horizon 0.0s - Transition F1: 0.5875, Precision: 0.5652, Recall: 0.6278 +2026-04-09 02:35:45,203 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:35:45,203 - INFO - Macro F1: 0.5875 +2026-04-09 02:35:45,203 - INFO - Weighted F1: 0.5247 +2026-04-09 02:35:45,203 - INFO - +2026-04-09 02:35:45,203 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8531 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Overall F1: 0.8547, Precision: 0.8506, Recall: 0.8634 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:35:45,203 - INFO - Macro F1: 0.8547 +2026-04-09 02:35:45,203 - INFO - Weighted F1: 0.8506 +2026-04-09 02:35:45,203 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9210 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Steady F1: 0.9107, Precision: 0.9065, Recall: 0.9192 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:35:45,203 - INFO - Macro F1: 0.9107 +2026-04-09 02:35:45,203 - INFO - Weighted F1: 0.9206 +2026-04-09 02:35:45,203 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5441 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Transition F1: 0.6015, Precision: 0.5754, Recall: 0.6463 +2026-04-09 02:35:45,203 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:35:45,203 - INFO - Macro F1: 0.6015 +2026-04-09 02:35:45,203 - INFO - Weighted F1: 0.5356 +2026-04-09 02:35:45,203 - INFO - +2026-04-09 02:35:45,203 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8533 +2026-04-09 02:35:45,203 - INFO - Horizon 0.2s - Overall F1: 0.8582, Precision: 0.8537, Recall: 0.8666 +2026-04-09 02:35:45,203 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:35:45,203 - INFO - Macro F1: 0.8582 +2026-04-09 02:35:45,203 - INFO - Weighted F1: 0.8506 +2026-04-09 02:35:45,203 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9180 +2026-04-09 02:35:45,204 - INFO - Horizon 0.2s - Steady F1: 0.9096, Precision: 0.9061, Recall: 0.9155 +2026-04-09 02:35:45,204 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:35:45,204 - INFO - Macro F1: 0.9096 +2026-04-09 02:35:45,204 - INFO - Weighted F1: 0.9171 +2026-04-09 02:35:45,204 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5515 +2026-04-09 02:35:45,204 - INFO - Horizon 0.2s - Transition F1: 0.6207, Precision: 0.5971, Recall: 0.6642 +2026-04-09 02:35:45,204 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:35:45,204 - INFO - Macro F1: 0.6207 +2026-04-09 02:35:45,204 - INFO - Weighted F1: 0.5426 +2026-04-09 02:35:45,204 - INFO - +2026-04-09 02:35:45,204 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8511 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Overall F1: 0.8584, Precision: 0.8551, Recall: 0.8658 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:35:45,204 - INFO - Macro F1: 0.8584 +2026-04-09 02:35:45,204 - INFO - Weighted F1: 0.8484 +2026-04-09 02:35:45,204 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9164 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Steady F1: 0.9077, Precision: 0.9074, Recall: 0.9113 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:35:45,204 - INFO - Macro F1: 0.9077 +2026-04-09 02:35:45,204 - INFO - Weighted F1: 0.9151 +2026-04-09 02:35:45,204 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5542 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Transition F1: 0.6296, Precision: 0.6083, Recall: 0.6705 +2026-04-09 02:35:45,204 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.6296 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.5467 +2026-04-09 02:35:45,205 - INFO - +2026-04-09 02:35:45,205 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8339 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Overall F1: 0.8398, Precision: 0.8480, Recall: 0.8395 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.8398 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.8288 +2026-04-09 02:35:45,205 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9043 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Steady F1: 0.8921, Precision: 0.8971, Recall: 0.8916 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.8921 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.9024 +2026-04-09 02:35:45,205 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5074 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Transition F1: 0.5707, Precision: 0.5896, Recall: 0.5955 +2026-04-09 02:35:45,205 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.5707 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.5016 +2026-04-09 02:35:45,205 - INFO - +2026-04-09 02:35:45,205 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8044 +2026-04-09 02:35:45,205 - INFO - Horizon 1.0s - Overall F1: 0.8124, Precision: 0.8378, Recall: 0.8010 +2026-04-09 02:35:45,205 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.8124 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.7950 +2026-04-09 02:35:45,205 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8810 +2026-04-09 02:35:45,205 - INFO - Horizon 1.0s - Steady F1: 0.8615, Precision: 0.8879, Recall: 0.8517 +2026-04-09 02:35:45,205 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:35:45,205 - INFO - Macro F1: 0.8615 +2026-04-09 02:35:45,205 - INFO - Weighted F1: 0.8754 +2026-04-09 02:35:45,205 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4424 +2026-04-09 02:35:45,205 - INFO - Horizon 1.0s - Transition F1: 0.5326, Precision: 0.5885, Recall: 0.5158 +2026-04-09 02:35:45,206 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:35:45,206 - INFO - Macro F1: 0.5326 +2026-04-09 02:35:45,206 - INFO - Weighted F1: 0.4381 +2026-04-09 02:35:45,313 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_31.pt +2026-04-09 02:35:45,315 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,315 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,316 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,317 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,318 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,318 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,319 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,320 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,320 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,321 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,322 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,322 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,323 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,324 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,325 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,325 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_31.csv +2026-04-09 02:35:45,326 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_31.csv +2026-04-09 02:35:45,327 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_31.csv +2026-04-09 02:35:45,328 - INFO - Removed old checkpoint: checkpoint_epoch_30.pt +2026-04-09 02:35:45,329 - INFO - Epoch 32/50, Learning Rate: 0.000064 +2026-04-09 02:36:27,915 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:36:27,986 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:36:28,049 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:36:28,110 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:36:28,167 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:36:28,224 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:36:30,472 - INFO - Epoch 32/50: +2026-04-09 02:36:30,473 - INFO - Train: loss=0.6991, accuracy_overall=0.9198 +2026-04-09 02:36:30,473 - INFO - Horizon 0.0s: accuracy=0.9276 +2026-04-09 02:36:30,473 - INFO - Horizon 0.1s: accuracy=0.9331 +2026-04-09 02:36:30,473 - INFO - Horizon 0.2s: accuracy=0.9308 +2026-04-09 02:36:30,473 - INFO - Horizon 0.3s: accuracy=0.9284 +2026-04-09 02:36:30,473 - INFO - Horizon 0.5s: accuracy=0.9194 +2026-04-09 02:36:30,473 - INFO - Horizon 1.0s: accuracy=0.8798 +2026-04-09 02:36:30,473 - INFO - Val Horizon 0.0s - Overall: loss=0.8834, accuracy=0.8345 +2026-04-09 02:36:30,473 - INFO - Horizon 0.0s - Overall F1: 0.8335, Precision: 0.8369, Recall: 0.8396 +2026-04-09 02:36:30,473 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:36:30,474 - INFO - Macro F1: 0.8335 +2026-04-09 02:36:30,474 - INFO - Weighted F1: 0.8352 +2026-04-09 02:36:30,474 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9013 +2026-04-09 02:36:30,474 - INFO - Horizon 0.0s - Steady F1: 0.8833, Precision: 0.8795, Recall: 0.8960 +2026-04-09 02:36:30,474 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:36:30,474 - INFO - Macro F1: 0.8833 +2026-04-09 02:36:30,474 - INFO - Weighted F1: 0.9032 +2026-04-09 02:36:30,474 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5265 +2026-04-09 02:36:30,474 - INFO - Horizon 0.0s - Transition F1: 0.5576, Precision: 0.5667, Recall: 0.5812 +2026-04-09 02:36:30,474 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:36:30,474 - INFO - Macro F1: 0.5576 +2026-04-09 02:36:30,475 - INFO - Weighted F1: 0.5157 +2026-04-09 02:36:30,475 - INFO - +2026-04-09 02:36:30,475 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8401 +2026-04-09 02:36:30,475 - INFO - Horizon 0.1s - Overall F1: 0.8410, Precision: 0.8401, Recall: 0.8509 +2026-04-09 02:36:30,475 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:36:30,475 - INFO - Macro F1: 0.8410 +2026-04-09 02:36:30,475 - INFO - Weighted F1: 0.8402 +2026-04-09 02:36:30,475 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9060 +2026-04-09 02:36:30,475 - INFO - Horizon 0.1s - Steady F1: 0.8906, Precision: 0.8846, Recall: 0.9048 +2026-04-09 02:36:30,475 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:36:30,475 - INFO - Macro F1: 0.8906 +2026-04-09 02:36:30,475 - INFO - Weighted F1: 0.9074 +2026-04-09 02:36:30,475 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5404 +2026-04-09 02:36:30,476 - INFO - Horizon 0.1s - Transition F1: 0.5626, Precision: 0.5623, Recall: 0.5957 +2026-04-09 02:36:30,476 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:36:30,476 - INFO - Macro F1: 0.5626 +2026-04-09 02:36:30,476 - INFO - Weighted F1: 0.5271 +2026-04-09 02:36:30,476 - INFO - +2026-04-09 02:36:30,476 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8430 +2026-04-09 02:36:30,476 - INFO - Horizon 0.2s - Overall F1: 0.8473, Precision: 0.8477, Recall: 0.8548 +2026-04-09 02:36:30,476 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:36:30,476 - INFO - Macro F1: 0.8473 +2026-04-09 02:36:30,476 - INFO - Weighted F1: 0.8420 +2026-04-09 02:36:30,476 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9063 +2026-04-09 02:36:30,476 - INFO - Horizon 0.2s - Steady F1: 0.8949, Precision: 0.8900, Recall: 0.9066 +2026-04-09 02:36:30,476 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:36:30,476 - INFO - Macro F1: 0.8949 +2026-04-09 02:36:30,476 - INFO - Weighted F1: 0.9070 +2026-04-09 02:36:30,476 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5476 +2026-04-09 02:36:30,476 - INFO - Horizon 0.2s - Transition F1: 0.5850, Precision: 0.5868, Recall: 0.6092 +2026-04-09 02:36:30,477 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:36:30,477 - INFO - Macro F1: 0.5850 +2026-04-09 02:36:30,477 - INFO - Weighted F1: 0.5324 +2026-04-09 02:36:30,477 - INFO - +2026-04-09 02:36:30,477 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8433 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Overall F1: 0.8513, Precision: 0.8490, Recall: 0.8608 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:36:30,477 - INFO - Macro F1: 0.8513 +2026-04-09 02:36:30,477 - INFO - Weighted F1: 0.8426 +2026-04-09 02:36:30,477 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9075 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Steady F1: 0.8965, Precision: 0.8915, Recall: 0.9090 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:36:30,477 - INFO - Macro F1: 0.8965 +2026-04-09 02:36:30,477 - INFO - Weighted F1: 0.9080 +2026-04-09 02:36:30,477 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5511 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Transition F1: 0.5984, Precision: 0.5935, Recall: 0.6265 +2026-04-09 02:36:30,477 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:36:30,477 - INFO - Macro F1: 0.5984 +2026-04-09 02:36:30,477 - INFO - Weighted F1: 0.5383 +2026-04-09 02:36:30,477 - INFO - +2026-04-09 02:36:30,477 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8344 +2026-04-09 02:36:30,477 - INFO - Horizon 0.5s - Overall F1: 0.8413, Precision: 0.8537, Recall: 0.8358 +2026-04-09 02:36:30,478 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:36:30,478 - INFO - Macro F1: 0.8413 +2026-04-09 02:36:30,478 - INFO - Weighted F1: 0.8298 +2026-04-09 02:36:30,478 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9007 +2026-04-09 02:36:30,478 - INFO - Horizon 0.5s - Steady F1: 0.8878, Precision: 0.8915, Recall: 0.8880 +2026-04-09 02:36:30,478 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:36:30,478 - INFO - Macro F1: 0.8878 +2026-04-09 02:36:30,478 - INFO - Weighted F1: 0.8998 +2026-04-09 02:36:30,478 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5272 +2026-04-09 02:36:30,478 - INFO - Horizon 0.5s - Transition F1: 0.5839, Precision: 0.6174, Recall: 0.5887 +2026-04-09 02:36:30,478 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:36:30,478 - INFO - Macro F1: 0.5839 +2026-04-09 02:36:30,478 - INFO - Weighted F1: 0.5215 +2026-04-09 02:36:30,478 - INFO - +2026-04-09 02:36:30,478 - INFO - Val Horizon 1.0s - Overall: accuracy=0.7990 +2026-04-09 02:36:30,478 - INFO - Horizon 1.0s - Overall F1: 0.8117, Precision: 0.8365, Recall: 0.8007 +2026-04-09 02:36:30,478 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:36:30,478 - INFO - Macro F1: 0.8117 +2026-04-09 02:36:30,478 - INFO - Weighted F1: 0.7894 +2026-04-09 02:36:30,478 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8724 +2026-04-09 02:36:30,479 - INFO - Horizon 1.0s - Steady F1: 0.8551, Precision: 0.8770, Recall: 0.8442 +2026-04-09 02:36:30,479 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:36:30,479 - INFO - Macro F1: 0.8551 +2026-04-09 02:36:30,479 - INFO - Weighted F1: 0.8668 +2026-04-09 02:36:30,479 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4522 +2026-04-09 02:36:30,479 - INFO - Horizon 1.0s - Transition F1: 0.5599, Precision: 0.6067, Recall: 0.5513 +2026-04-09 02:36:30,479 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:36:30,479 - INFO - Macro F1: 0.5599 +2026-04-09 02:36:30,479 - INFO - Weighted F1: 0.4444 +2026-04-09 02:36:30,644 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_32.pt +2026-04-09 02:36:30,647 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,648 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,649 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,649 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,650 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,651 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,652 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,652 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,653 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,654 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,655 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,655 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,656 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,657 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,657 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,658 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_32.csv +2026-04-09 02:36:30,659 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_32.csv +2026-04-09 02:36:30,660 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_32.csv +2026-04-09 02:36:30,662 - INFO - Removed old checkpoint: checkpoint_epoch_31.pt +2026-04-09 02:36:30,663 - INFO - Epoch 33/50, Learning Rate: 0.000058 +2026-04-09 02:37:15,469 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:37:15,541 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:37:15,612 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:37:15,687 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:37:15,777 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:37:15,869 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:37:18,532 - INFO - Epoch 33/50: +2026-04-09 02:37:18,532 - INFO - Train: loss=0.6926, accuracy_overall=0.9227 +2026-04-09 02:37:18,532 - INFO - Horizon 0.0s: accuracy=0.9263 +2026-04-09 02:37:18,532 - INFO - Horizon 0.1s: accuracy=0.9347 +2026-04-09 02:37:18,532 - INFO - Horizon 0.2s: accuracy=0.9350 +2026-04-09 02:37:18,532 - INFO - Horizon 0.3s: accuracy=0.9267 +2026-04-09 02:37:18,533 - INFO - Horizon 0.5s: accuracy=0.9233 +2026-04-09 02:37:18,533 - INFO - Horizon 1.0s: accuracy=0.8904 +2026-04-09 02:37:18,533 - INFO - Val Horizon 0.0s - Overall: loss=0.8673, accuracy=0.8473 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Overall F1: 0.8451, Precision: 0.8447, Recall: 0.8509 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:37:18,533 - INFO - Macro F1: 0.8451 +2026-04-09 02:37:18,533 - INFO - Weighted F1: 0.8461 +2026-04-09 02:37:18,533 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9161 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Steady F1: 0.8976, Precision: 0.8940, Recall: 0.9086 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:37:18,533 - INFO - Macro F1: 0.8976 +2026-04-09 02:37:18,533 - INFO - Weighted F1: 0.9163 +2026-04-09 02:37:18,533 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5297 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Transition F1: 0.5672, Precision: 0.5635, Recall: 0.5880 +2026-04-09 02:37:18,533 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:37:18,533 - INFO - Macro F1: 0.5672 +2026-04-09 02:37:18,533 - INFO - Weighted F1: 0.5216 +2026-04-09 02:37:18,534 - INFO - +2026-04-09 02:37:18,534 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8573 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Overall F1: 0.8556, Precision: 0.8556, Recall: 0.8633 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:37:18,534 - INFO - Macro F1: 0.8556 +2026-04-09 02:37:18,534 - INFO - Weighted F1: 0.8554 +2026-04-09 02:37:18,534 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9239 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Steady F1: 0.9079, Precision: 0.9064, Recall: 0.9189 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:37:18,534 - INFO - Macro F1: 0.9079 +2026-04-09 02:37:18,534 - INFO - Weighted F1: 0.9237 +2026-04-09 02:37:18,534 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5542 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Transition F1: 0.5951, Precision: 0.5855, Recall: 0.6229 +2026-04-09 02:37:18,534 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:37:18,534 - INFO - Macro F1: 0.5951 +2026-04-09 02:37:18,534 - INFO - Weighted F1: 0.5449 +2026-04-09 02:37:18,535 - INFO - +2026-04-09 02:37:18,535 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8564 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Overall F1: 0.8578, Precision: 0.8586, Recall: 0.8634 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:37:18,535 - INFO - Macro F1: 0.8578 +2026-04-09 02:37:18,535 - INFO - Weighted F1: 0.8533 +2026-04-09 02:37:18,535 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9209 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Steady F1: 0.9066, Precision: 0.9068, Recall: 0.9123 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:37:18,535 - INFO - Macro F1: 0.9066 +2026-04-09 02:37:18,535 - INFO - Weighted F1: 0.9197 +2026-04-09 02:37:18,535 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5553 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Transition F1: 0.6196, Precision: 0.6115, Recall: 0.6435 +2026-04-09 02:37:18,535 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:37:18,535 - INFO - Macro F1: 0.6196 +2026-04-09 02:37:18,536 - INFO - Weighted F1: 0.5448 +2026-04-09 02:37:18,536 - INFO - +2026-04-09 02:37:18,536 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8548 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Overall F1: 0.8590, Precision: 0.8584, Recall: 0.8651 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:37:18,536 - INFO - Macro F1: 0.8590 +2026-04-09 02:37:18,536 - INFO - Weighted F1: 0.8523 +2026-04-09 02:37:18,536 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9203 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Steady F1: 0.9074, Precision: 0.9087, Recall: 0.9121 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:37:18,536 - INFO - Macro F1: 0.9074 +2026-04-09 02:37:18,536 - INFO - Weighted F1: 0.9190 +2026-04-09 02:37:18,536 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5567 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Transition F1: 0.6217, Precision: 0.6096, Recall: 0.6466 +2026-04-09 02:37:18,536 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:37:18,536 - INFO - Macro F1: 0.6217 +2026-04-09 02:37:18,536 - INFO - Weighted F1: 0.5485 +2026-04-09 02:37:18,536 - INFO - +2026-04-09 02:37:18,536 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8484 +2026-04-09 02:37:18,536 - INFO - Horizon 0.5s - Overall F1: 0.8526, Precision: 0.8626, Recall: 0.8522 +2026-04-09 02:37:18,536 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:37:18,537 - INFO - Macro F1: 0.8526 +2026-04-09 02:37:18,537 - INFO - Weighted F1: 0.8432 +2026-04-09 02:37:18,537 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9149 +2026-04-09 02:37:18,537 - INFO - Horizon 0.5s - Steady F1: 0.9024, Precision: 0.9090, Recall: 0.9033 +2026-04-09 02:37:18,537 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:37:18,537 - INFO - Macro F1: 0.9024 +2026-04-09 02:37:18,537 - INFO - Weighted F1: 0.9127 +2026-04-09 02:37:18,537 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5400 +2026-04-09 02:37:18,537 - INFO - Horizon 0.5s - Transition F1: 0.5943, Precision: 0.6121, Recall: 0.6107 +2026-04-09 02:37:18,537 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:37:18,537 - INFO - Macro F1: 0.5943 +2026-04-09 02:37:18,537 - INFO - Weighted F1: 0.5321 +2026-04-09 02:37:18,537 - INFO - +2026-04-09 02:37:18,537 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8098 +2026-04-09 02:37:18,537 - INFO - Horizon 1.0s - Overall F1: 0.8144, Precision: 0.8413, Recall: 0.8026 +2026-04-09 02:37:18,537 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:37:18,537 - INFO - Macro F1: 0.8144 +2026-04-09 02:37:18,537 - INFO - Weighted F1: 0.7990 +2026-04-09 02:37:18,537 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8875 +2026-04-09 02:37:18,537 - INFO - Horizon 1.0s - Steady F1: 0.8669, Precision: 0.8922, Recall: 0.8548 +2026-04-09 02:37:18,537 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:37:18,537 - INFO - Macro F1: 0.8669 +2026-04-09 02:37:18,538 - INFO - Weighted F1: 0.8822 +2026-04-09 02:37:18,538 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4424 +2026-04-09 02:37:18,538 - INFO - Horizon 1.0s - Transition F1: 0.5354, Precision: 0.5849, Recall: 0.5290 +2026-04-09 02:37:18,538 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:37:18,538 - INFO - Macro F1: 0.5354 +2026-04-09 02:37:18,538 - INFO - Weighted F1: 0.4341 +2026-04-09 02:37:18,783 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_33.pt +2026-04-09 02:37:18,786 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,787 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,788 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,789 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,790 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,791 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,792 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,792 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,793 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,794 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,795 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,796 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,797 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,798 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,798 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,799 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_33.csv +2026-04-09 02:37:18,800 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_33.csv +2026-04-09 02:37:18,801 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_33.csv +2026-04-09 02:37:18,829 - INFO - Removed old checkpoint: checkpoint_epoch_32.pt +2026-04-09 02:37:18,832 - INFO - Epoch 34/50, Learning Rate: 0.000053 +2026-04-09 02:38:10,161 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:38:10,230 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:38:10,296 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:38:10,360 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:38:10,425 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:38:10,492 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:38:12,546 - INFO - Epoch 34/50: +2026-04-09 02:38:12,546 - INFO - Train: loss=0.7005, accuracy_overall=0.9199 +2026-04-09 02:38:12,546 - INFO - Horizon 0.0s: accuracy=0.9239 +2026-04-09 02:38:12,546 - INFO - Horizon 0.1s: accuracy=0.9285 +2026-04-09 02:38:12,546 - INFO - Horizon 0.2s: accuracy=0.9272 +2026-04-09 02:38:12,547 - INFO - Horizon 0.3s: accuracy=0.9285 +2026-04-09 02:38:12,547 - INFO - Horizon 0.5s: accuracy=0.9185 +2026-04-09 02:38:12,547 - INFO - Horizon 1.0s: accuracy=0.8931 +2026-04-09 02:38:12,547 - INFO - Val Horizon 0.0s - Overall: loss=0.8571, accuracy=0.8470 +2026-04-09 02:38:12,547 - INFO - Horizon 0.0s - Overall F1: 0.8476, Precision: 0.8450, Recall: 0.8557 +2026-04-09 02:38:12,547 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:38:12,547 - INFO - Macro F1: 0.8476 +2026-04-09 02:38:12,547 - INFO - Weighted F1: 0.8469 +2026-04-09 02:38:12,547 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9147 +2026-04-09 02:38:12,547 - INFO - Horizon 0.0s - Steady F1: 0.9011, Precision: 0.8948, Recall: 0.9131 +2026-04-09 02:38:12,547 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:38:12,548 - INFO - Macro F1: 0.9011 +2026-04-09 02:38:12,548 - INFO - Weighted F1: 0.9153 +2026-04-09 02:38:12,548 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5348 +2026-04-09 02:38:12,548 - INFO - Horizon 0.0s - Transition F1: 0.5773, Precision: 0.5705, Recall: 0.5998 +2026-04-09 02:38:12,548 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:38:12,548 - INFO - Macro F1: 0.5773 +2026-04-09 02:38:12,548 - INFO - Weighted F1: 0.5296 +2026-04-09 02:38:12,548 - INFO - +2026-04-09 02:38:12,548 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8547 +2026-04-09 02:38:12,548 - INFO - Horizon 0.1s - Overall F1: 0.8557, Precision: 0.8517, Recall: 0.8649 +2026-04-09 02:38:12,548 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:38:12,548 - INFO - Macro F1: 0.8557 +2026-04-09 02:38:12,548 - INFO - Weighted F1: 0.8542 +2026-04-09 02:38:12,548 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9206 +2026-04-09 02:38:12,548 - INFO - Horizon 0.1s - Steady F1: 0.9096, Precision: 0.9031, Recall: 0.9219 +2026-04-09 02:38:12,548 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:38:12,548 - INFO - Macro F1: 0.9096 +2026-04-09 02:38:12,548 - INFO - Weighted F1: 0.9208 +2026-04-09 02:38:12,548 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5549 +2026-04-09 02:38:12,548 - INFO - Horizon 0.1s - Transition F1: 0.5921, Precision: 0.5824, Recall: 0.6164 +2026-04-09 02:38:12,549 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:38:12,549 - INFO - Macro F1: 0.5921 +2026-04-09 02:38:12,549 - INFO - Weighted F1: 0.5478 +2026-04-09 02:38:12,549 - INFO - +2026-04-09 02:38:12,549 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8530 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Overall F1: 0.8582, Precision: 0.8584, Recall: 0.8624 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:38:12,549 - INFO - Macro F1: 0.8582 +2026-04-09 02:38:12,549 - INFO - Weighted F1: 0.8521 +2026-04-09 02:38:12,549 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9179 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Steady F1: 0.9083, Precision: 0.9052, Recall: 0.9152 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:38:12,549 - INFO - Macro F1: 0.9083 +2026-04-09 02:38:12,549 - INFO - Weighted F1: 0.9177 +2026-04-09 02:38:12,549 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5502 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Transition F1: 0.5994, Precision: 0.6029, Recall: 0.6099 +2026-04-09 02:38:12,549 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:38:12,550 - INFO - Macro F1: 0.5994 +2026-04-09 02:38:12,550 - INFO - Weighted F1: 0.5419 +2026-04-09 02:38:12,550 - INFO - +2026-04-09 02:38:12,550 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8505 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Overall F1: 0.8583, Precision: 0.8560, Recall: 0.8640 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:38:12,550 - INFO - Macro F1: 0.8583 +2026-04-09 02:38:12,550 - INFO - Weighted F1: 0.8500 +2026-04-09 02:38:12,550 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9167 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Steady F1: 0.9088, Precision: 0.9052, Recall: 0.9157 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:38:12,550 - INFO - Macro F1: 0.9088 +2026-04-09 02:38:12,550 - INFO - Weighted F1: 0.9166 +2026-04-09 02:38:12,550 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5492 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Transition F1: 0.5985, Precision: 0.5957, Recall: 0.6123 +2026-04-09 02:38:12,550 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:38:12,550 - INFO - Macro F1: 0.5985 +2026-04-09 02:38:12,550 - INFO - Weighted F1: 0.5429 +2026-04-09 02:38:12,551 - INFO - +2026-04-09 02:38:12,551 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8527 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Overall F1: 0.8595, Precision: 0.8645, Recall: 0.8583 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:38:12,551 - INFO - Macro F1: 0.8595 +2026-04-09 02:38:12,551 - INFO - Weighted F1: 0.8511 +2026-04-09 02:38:12,551 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9164 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Steady F1: 0.9089, Precision: 0.9074, Recall: 0.9130 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:38:12,551 - INFO - Macro F1: 0.9089 +2026-04-09 02:38:12,551 - INFO - Weighted F1: 0.9162 +2026-04-09 02:38:12,551 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5573 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Transition F1: 0.5950, Precision: 0.6162, Recall: 0.5934 +2026-04-09 02:38:12,551 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:38:12,551 - INFO - Macro F1: 0.5950 +2026-04-09 02:38:12,551 - INFO - Weighted F1: 0.5543 +2026-04-09 02:38:12,552 - INFO - +2026-04-09 02:38:12,552 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8202 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Overall F1: 0.8290, Precision: 0.8455, Recall: 0.8182 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:38:12,552 - INFO - Macro F1: 0.8290 +2026-04-09 02:38:12,552 - INFO - Weighted F1: 0.8153 +2026-04-09 02:38:12,552 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8910 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Steady F1: 0.8770, Precision: 0.8914, Recall: 0.8684 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:38:12,552 - INFO - Macro F1: 0.8770 +2026-04-09 02:38:12,552 - INFO - Weighted F1: 0.8883 +2026-04-09 02:38:12,552 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4860 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Transition F1: 0.5568, Precision: 0.6080, Recall: 0.5335 +2026-04-09 02:38:12,552 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:38:12,552 - INFO - Macro F1: 0.5568 +2026-04-09 02:38:12,552 - INFO - Weighted F1: 0.4831 +2026-04-09 02:38:12,886 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_34.pt +2026-04-09 02:38:12,889 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,890 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,890 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,891 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,892 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,893 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,894 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,894 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,895 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,897 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,897 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,898 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,899 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,900 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,901 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,902 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_34.csv +2026-04-09 02:38:12,902 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_34.csv +2026-04-09 02:38:12,903 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_34.csv +2026-04-09 02:38:12,908 - INFO - Removed old checkpoint: checkpoint_epoch_33.pt +2026-04-09 02:38:12,909 - INFO - Epoch 35/50, Learning Rate: 0.000047 +2026-04-09 02:39:07,764 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:39:07,833 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:39:07,889 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:39:07,946 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:39:08,005 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:39:08,065 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:39:09,951 - INFO - Epoch 35/50: +2026-04-09 02:39:09,952 - INFO - Train: loss=0.6949, accuracy_overall=0.9232 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s: accuracy=0.9289 +2026-04-09 02:39:09,952 - INFO - Horizon 0.1s: accuracy=0.9328 +2026-04-09 02:39:09,952 - INFO - Horizon 0.2s: accuracy=0.9332 +2026-04-09 02:39:09,952 - INFO - Horizon 0.3s: accuracy=0.9306 +2026-04-09 02:39:09,952 - INFO - Horizon 0.5s: accuracy=0.9190 +2026-04-09 02:39:09,952 - INFO - Horizon 1.0s: accuracy=0.8943 +2026-04-09 02:39:09,952 - INFO - Val Horizon 0.0s - Overall: loss=0.8470, accuracy=0.8522 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Overall F1: 0.8551, Precision: 0.8517, Recall: 0.8632 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:39:09,952 - INFO - Macro F1: 0.8551 +2026-04-09 02:39:09,952 - INFO - Weighted F1: 0.8523 +2026-04-09 02:39:09,952 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9175 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Steady F1: 0.9062, Precision: 0.8978, Recall: 0.9196 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:39:09,952 - INFO - Macro F1: 0.9062 +2026-04-09 02:39:09,952 - INFO - Weighted F1: 0.9180 +2026-04-09 02:39:09,952 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5507 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Transition F1: 0.5947, Precision: 0.5892, Recall: 0.6113 +2026-04-09 02:39:09,952 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:39:09,952 - INFO - Macro F1: 0.5947 +2026-04-09 02:39:09,952 - INFO - Weighted F1: 0.5470 +2026-04-09 02:39:09,952 - INFO - +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8567 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Overall F1: 0.8602, Precision: 0.8550, Recall: 0.8705 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:39:09,953 - INFO - Macro F1: 0.8602 +2026-04-09 02:39:09,953 - INFO - Weighted F1: 0.8565 +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9211 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Steady F1: 0.9106, Precision: 0.9018, Recall: 0.9245 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:39:09,953 - INFO - Macro F1: 0.9106 +2026-04-09 02:39:09,953 - INFO - Weighted F1: 0.9216 +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5637 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Transition F1: 0.6091, Precision: 0.5956, Recall: 0.6374 +2026-04-09 02:39:09,953 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:39:09,953 - INFO - Macro F1: 0.6091 +2026-04-09 02:39:09,953 - INFO - Weighted F1: 0.5574 +2026-04-09 02:39:09,953 - INFO - +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8535 +2026-04-09 02:39:09,953 - INFO - Horizon 0.2s - Overall F1: 0.8597, Precision: 0.8526, Recall: 0.8715 +2026-04-09 02:39:09,953 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:39:09,953 - INFO - Macro F1: 0.8597 +2026-04-09 02:39:09,953 - INFO - Weighted F1: 0.8524 +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9155 +2026-04-09 02:39:09,953 - INFO - Horizon 0.2s - Steady F1: 0.9065, Precision: 0.8990, Recall: 0.9179 +2026-04-09 02:39:09,953 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:39:09,953 - INFO - Macro F1: 0.9065 +2026-04-09 02:39:09,953 - INFO - Weighted F1: 0.9154 +2026-04-09 02:39:09,953 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5644 +2026-04-09 02:39:09,954 - INFO - Horizon 0.2s - Transition F1: 0.6178, Precision: 0.5964, Recall: 0.6546 +2026-04-09 02:39:09,954 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:39:09,954 - INFO - Macro F1: 0.6178 +2026-04-09 02:39:09,954 - INFO - Weighted F1: 0.5562 +2026-04-09 02:39:09,954 - INFO - +2026-04-09 02:39:09,954 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8515 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Overall F1: 0.8596, Precision: 0.8526, Recall: 0.8714 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:39:09,954 - INFO - Macro F1: 0.8596 +2026-04-09 02:39:09,954 - INFO - Weighted F1: 0.8498 +2026-04-09 02:39:09,954 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9135 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Steady F1: 0.9046, Precision: 0.9011, Recall: 0.9123 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:39:09,954 - INFO - Macro F1: 0.9046 +2026-04-09 02:39:09,954 - INFO - Weighted F1: 0.9127 +2026-04-09 02:39:09,954 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5694 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Transition F1: 0.6339, Precision: 0.6034, Recall: 0.6787 +2026-04-09 02:39:09,954 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:39:09,954 - INFO - Macro F1: 0.6339 +2026-04-09 02:39:09,954 - INFO - Weighted F1: 0.5629 +2026-04-09 02:39:09,954 - INFO - +2026-04-09 02:39:09,954 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8519 +2026-04-09 02:39:09,954 - INFO - Horizon 0.5s - Overall F1: 0.8596, Precision: 0.8605, Recall: 0.8647 +2026-04-09 02:39:09,954 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:39:09,954 - INFO - Macro F1: 0.8596 +2026-04-09 02:39:09,954 - INFO - Weighted F1: 0.8495 +2026-04-09 02:39:09,954 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9109 +2026-04-09 02:39:09,954 - INFO - Horizon 0.5s - Steady F1: 0.9027, Precision: 0.9019, Recall: 0.9077 +2026-04-09 02:39:09,955 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:39:09,955 - INFO - Macro F1: 0.9027 +2026-04-09 02:39:09,955 - INFO - Weighted F1: 0.9103 +2026-04-09 02:39:09,955 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5785 +2026-04-09 02:39:09,955 - INFO - Horizon 0.5s - Transition F1: 0.6298, Precision: 0.6166, Recall: 0.6600 +2026-04-09 02:39:09,955 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:39:09,955 - INFO - Macro F1: 0.6298 +2026-04-09 02:39:09,955 - INFO - Weighted F1: 0.5724 +2026-04-09 02:39:09,955 - INFO - +2026-04-09 02:39:09,955 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8180 +2026-04-09 02:39:09,955 - INFO - Horizon 1.0s - Overall F1: 0.8298, Precision: 0.8411, Recall: 0.8237 +2026-04-09 02:39:09,955 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:39:09,955 - INFO - Macro F1: 0.8298 +2026-04-09 02:39:09,955 - INFO - Weighted F1: 0.8130 +2026-04-09 02:39:09,955 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8865 +2026-04-09 02:39:09,955 - INFO - Horizon 1.0s - Steady F1: 0.8761, Precision: 0.8870, Recall: 0.8704 +2026-04-09 02:39:09,956 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:39:09,956 - INFO - Macro F1: 0.8761 +2026-04-09 02:39:09,956 - INFO - Weighted F1: 0.8840 +2026-04-09 02:39:09,956 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4938 +2026-04-09 02:39:09,956 - INFO - Horizon 1.0s - Transition F1: 0.5814, Precision: 0.6088, Recall: 0.5712 +2026-04-09 02:39:09,956 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:39:09,956 - INFO - Macro F1: 0.5814 +2026-04-09 02:39:09,956 - INFO - Weighted F1: 0.4896 +2026-04-09 02:39:10,129 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_35.pt +2026-04-09 02:39:10,131 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,132 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:39:10,133 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,134 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,135 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:39:10,136 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,137 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,138 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:39:10,139 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,140 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,140 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:39:10,141 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,142 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,142 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:39:10,143 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,144 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,144 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:39:10,145 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,146 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,146 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:39:10,147 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,148 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,148 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:39:10,149 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,150 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,150 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:39:10,151 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,152 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,152 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:39:10,153 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,154 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,154 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:39:10,155 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,156 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,156 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:39:10,157 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,158 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,158 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:39:10,159 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,160 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,160 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:39:10,161 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,161 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,162 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:39:10,163 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,164 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_35.csv +2026-04-09 02:39:10,164 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:39:10,165 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:39:10,166 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_35.csv +2026-04-09 02:39:10,166 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:39:10,167 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:39:10,168 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_35.csv +2026-04-09 02:39:10,168 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:39:10,169 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:39:10,173 - INFO - Removed old checkpoint: checkpoint_epoch_34.pt +2026-04-09 02:39:10,342 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:39:10,359 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:39:10,495 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:39:10,497 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:39:10,498 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:39:10,499 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:39:10,500 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:39:10,501 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:39:10,502 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:39:10,503 - INFO - Epoch 36/50, Learning Rate: 0.000042 +2026-04-09 02:39:46,637 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:39:46,712 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:39:46,773 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:39:46,838 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:39:46,901 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:39:46,966 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:39:48,983 - INFO - Epoch 36/50: +2026-04-09 02:39:48,984 - INFO - Train: loss=0.6974, accuracy_overall=0.9204 +2026-04-09 02:39:48,984 - INFO - Horizon 0.0s: accuracy=0.9268 +2026-04-09 02:39:48,984 - INFO - Horizon 0.1s: accuracy=0.9314 +2026-04-09 02:39:48,984 - INFO - Horizon 0.2s: accuracy=0.9307 +2026-04-09 02:39:48,984 - INFO - Horizon 0.3s: accuracy=0.9269 +2026-04-09 02:39:48,984 - INFO - Horizon 0.5s: accuracy=0.9216 +2026-04-09 02:39:48,984 - INFO - Horizon 1.0s: accuracy=0.8850 +2026-04-09 02:39:48,984 - INFO - Val Horizon 0.0s - Overall: loss=0.8567, accuracy=0.8474 +2026-04-09 02:39:48,984 - INFO - Horizon 0.0s - Overall F1: 0.8470, Precision: 0.8424, Recall: 0.8551 +2026-04-09 02:39:48,984 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:39:48,984 - INFO - Macro F1: 0.8470 +2026-04-09 02:39:48,984 - INFO - Weighted F1: 0.8475 +2026-04-09 02:39:48,984 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9126 +2026-04-09 02:39:48,984 - INFO - Horizon 0.0s - Steady F1: 0.8982, Precision: 0.8913, Recall: 0.9107 +2026-04-09 02:39:48,985 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:39:48,985 - INFO - Macro F1: 0.8982 +2026-04-09 02:39:48,985 - INFO - Weighted F1: 0.9134 +2026-04-09 02:39:48,985 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5463 +2026-04-09 02:39:48,985 - INFO - Horizon 0.0s - Transition F1: 0.5732, Precision: 0.5639, Recall: 0.5890 +2026-04-09 02:39:48,985 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:39:48,985 - INFO - Macro F1: 0.5732 +2026-04-09 02:39:48,985 - INFO - Weighted F1: 0.5439 +2026-04-09 02:39:48,985 - INFO - +2026-04-09 02:39:48,985 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8524 +2026-04-09 02:39:48,985 - INFO - Horizon 0.1s - Overall F1: 0.8534, Precision: 0.8470, Recall: 0.8634 +2026-04-09 02:39:48,985 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:39:48,985 - INFO - Macro F1: 0.8534 +2026-04-09 02:39:48,985 - INFO - Weighted F1: 0.8521 +2026-04-09 02:39:48,985 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9152 +2026-04-09 02:39:48,985 - INFO - Horizon 0.1s - Steady F1: 0.9037, Precision: 0.8951, Recall: 0.9177 +2026-04-09 02:39:48,986 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:39:48,986 - INFO - Macro F1: 0.9037 +2026-04-09 02:39:48,986 - INFO - Weighted F1: 0.9156 +2026-04-09 02:39:48,986 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5668 +2026-04-09 02:39:48,986 - INFO - Horizon 0.1s - Transition F1: 0.5844, Precision: 0.5716, Recall: 0.6039 +2026-04-09 02:39:48,986 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:39:48,986 - INFO - Macro F1: 0.5844 +2026-04-09 02:39:48,986 - INFO - Weighted F1: 0.5644 +2026-04-09 02:39:48,986 - INFO - +2026-04-09 02:39:48,986 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8483 +2026-04-09 02:39:48,986 - INFO - Horizon 0.2s - Overall F1: 0.8543, Precision: 0.8484, Recall: 0.8631 +2026-04-09 02:39:48,986 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:39:48,986 - INFO - Macro F1: 0.8543 +2026-04-09 02:39:48,986 - INFO - Weighted F1: 0.8482 +2026-04-09 02:39:48,986 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9114 +2026-04-09 02:39:48,986 - INFO - Horizon 0.2s - Steady F1: 0.9025, Precision: 0.8950, Recall: 0.9132 +2026-04-09 02:39:48,986 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:39:48,986 - INFO - Macro F1: 0.9025 +2026-04-09 02:39:48,986 - INFO - Weighted F1: 0.9116 +2026-04-09 02:39:48,986 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5541 +2026-04-09 02:39:48,987 - INFO - Horizon 0.2s - Transition F1: 0.5961, Precision: 0.5889, Recall: 0.6100 +2026-04-09 02:39:48,987 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:39:48,987 - INFO - Macro F1: 0.5961 +2026-04-09 02:39:48,987 - INFO - Weighted F1: 0.5510 +2026-04-09 02:39:48,987 - INFO - +2026-04-09 02:39:48,987 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8488 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Overall F1: 0.8567, Precision: 0.8503, Recall: 0.8651 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:39:48,987 - INFO - Macro F1: 0.8567 +2026-04-09 02:39:48,987 - INFO - Weighted F1: 0.8487 +2026-04-09 02:39:48,987 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9146 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Steady F1: 0.9068, Precision: 0.9014, Recall: 0.9142 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:39:48,987 - INFO - Macro F1: 0.9068 +2026-04-09 02:39:48,987 - INFO - Weighted F1: 0.9146 +2026-04-09 02:39:48,987 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5492 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Transition F1: 0.5992, Precision: 0.5863, Recall: 0.6208 +2026-04-09 02:39:48,987 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:39:48,987 - INFO - Macro F1: 0.5992 +2026-04-09 02:39:48,988 - INFO - Weighted F1: 0.5461 +2026-04-09 02:39:48,988 - INFO - +2026-04-09 02:39:48,988 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8466 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Overall F1: 0.8536, Precision: 0.8567, Recall: 0.8532 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:39:48,988 - INFO - Macro F1: 0.8536 +2026-04-09 02:39:48,988 - INFO - Weighted F1: 0.8454 +2026-04-09 02:39:48,988 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9083 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Steady F1: 0.9005, Precision: 0.8968, Recall: 0.9060 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:39:48,988 - INFO - Macro F1: 0.9005 +2026-04-09 02:39:48,988 - INFO - Weighted F1: 0.9082 +2026-04-09 02:39:48,988 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5605 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Transition F1: 0.5862, Precision: 0.6134, Recall: 0.5836 +2026-04-09 02:39:48,988 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:39:48,988 - INFO - Macro F1: 0.5862 +2026-04-09 02:39:48,988 - INFO - Weighted F1: 0.5579 +2026-04-09 02:39:48,988 - INFO - +2026-04-09 02:39:48,988 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8189 +2026-04-09 02:39:48,988 - INFO - Horizon 1.0s - Overall F1: 0.8313, Precision: 0.8416, Recall: 0.8236 +2026-04-09 02:39:48,989 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:39:48,989 - INFO - Macro F1: 0.8313 +2026-04-09 02:39:48,989 - INFO - Weighted F1: 0.8175 +2026-04-09 02:39:48,989 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8868 +2026-04-09 02:39:48,989 - INFO - Horizon 1.0s - Steady F1: 0.8785, Precision: 0.8824, Recall: 0.8767 +2026-04-09 02:39:48,989 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:39:48,989 - INFO - Macro F1: 0.8785 +2026-04-09 02:39:48,989 - INFO - Weighted F1: 0.8860 +2026-04-09 02:39:48,989 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4977 +2026-04-09 02:39:48,989 - INFO - Horizon 1.0s - Transition F1: 0.5452, Precision: 0.6019, Recall: 0.5166 +2026-04-09 02:39:48,989 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:39:48,989 - INFO - Macro F1: 0.5452 +2026-04-09 02:39:48,989 - INFO - Weighted F1: 0.4958 +2026-04-09 02:39:49,190 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_36.pt +2026-04-09 02:39:49,192 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,193 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,194 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,194 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,195 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,196 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,197 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,197 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,198 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,199 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,199 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,200 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,201 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,202 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,202 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,203 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_36.csv +2026-04-09 02:39:49,204 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_36.csv +2026-04-09 02:39:49,205 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_36.csv +2026-04-09 02:39:49,215 - INFO - Removed old checkpoint: checkpoint_epoch_35.pt +2026-04-09 02:39:49,216 - INFO - Epoch 37/50, Learning Rate: 0.000037 +2026-04-09 02:40:29,239 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:40:29,328 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:40:29,420 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:40:29,479 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:40:29,539 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:40:29,600 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:40:31,555 - INFO - Epoch 37/50: +2026-04-09 02:40:31,556 - INFO - Train: loss=0.6815, accuracy_overall=0.9275 +2026-04-09 02:40:31,556 - INFO - Horizon 0.0s: accuracy=0.9342 +2026-04-09 02:40:31,556 - INFO - Horizon 0.1s: accuracy=0.9430 +2026-04-09 02:40:31,556 - INFO - Horizon 0.2s: accuracy=0.9373 +2026-04-09 02:40:31,556 - INFO - Horizon 0.3s: accuracy=0.9319 +2026-04-09 02:40:31,556 - INFO - Horizon 0.5s: accuracy=0.9194 +2026-04-09 02:40:31,556 - INFO - Horizon 1.0s: accuracy=0.8989 +2026-04-09 02:40:31,556 - INFO - Val Horizon 0.0s - Overall: loss=0.8712, accuracy=0.8450 +2026-04-09 02:40:31,556 - INFO - Horizon 0.0s - Overall F1: 0.8450, Precision: 0.8433, Recall: 0.8518 +2026-04-09 02:40:31,556 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:40:31,556 - INFO - Macro F1: 0.8450 +2026-04-09 02:40:31,556 - INFO - Weighted F1: 0.8442 +2026-04-09 02:40:31,556 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9110 +2026-04-09 02:40:31,556 - INFO - Horizon 0.0s - Steady F1: 0.8980, Precision: 0.8927, Recall: 0.9100 +2026-04-09 02:40:31,556 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:40:31,557 - INFO - Macro F1: 0.8980 +2026-04-09 02:40:31,557 - INFO - Weighted F1: 0.9115 +2026-04-09 02:40:31,557 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5405 +2026-04-09 02:40:31,557 - INFO - Horizon 0.0s - Transition F1: 0.5755, Precision: 0.5650, Recall: 0.5976 +2026-04-09 02:40:31,557 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:40:31,557 - INFO - Macro F1: 0.5755 +2026-04-09 02:40:31,557 - INFO - Weighted F1: 0.5357 +2026-04-09 02:40:31,557 - INFO - +2026-04-09 02:40:31,557 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8514 +2026-04-09 02:40:31,557 - INFO - Horizon 0.1s - Overall F1: 0.8534, Precision: 0.8496, Recall: 0.8632 +2026-04-09 02:40:31,557 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:40:31,557 - INFO - Macro F1: 0.8534 +2026-04-09 02:40:31,557 - INFO - Weighted F1: 0.8507 +2026-04-09 02:40:31,557 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9168 +2026-04-09 02:40:31,557 - INFO - Horizon 0.1s - Steady F1: 0.9058, Precision: 0.9000, Recall: 0.9191 +2026-04-09 02:40:31,557 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:40:31,557 - INFO - Macro F1: 0.9058 +2026-04-09 02:40:31,558 - INFO - Weighted F1: 0.9171 +2026-04-09 02:40:31,558 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5536 +2026-04-09 02:40:31,558 - INFO - Horizon 0.1s - Transition F1: 0.5938, Precision: 0.5804, Recall: 0.6219 +2026-04-09 02:40:31,558 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:40:31,558 - INFO - Macro F1: 0.5938 +2026-04-09 02:40:31,558 - INFO - Weighted F1: 0.5466 +2026-04-09 02:40:31,558 - INFO - +2026-04-09 02:40:31,558 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8500 +2026-04-09 02:40:31,558 - INFO - Horizon 0.2s - Overall F1: 0.8543, Precision: 0.8536, Recall: 0.8609 +2026-04-09 02:40:31,558 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:40:31,558 - INFO - Macro F1: 0.8543 +2026-04-09 02:40:31,558 - INFO - Weighted F1: 0.8488 +2026-04-09 02:40:31,558 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9143 +2026-04-09 02:40:31,558 - INFO - Horizon 0.2s - Steady F1: 0.9055, Precision: 0.9014, Recall: 0.9146 +2026-04-09 02:40:31,558 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:40:31,558 - INFO - Macro F1: 0.9055 +2026-04-09 02:40:31,558 - INFO - Weighted F1: 0.9144 +2026-04-09 02:40:31,558 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5502 +2026-04-09 02:40:31,558 - INFO - Horizon 0.2s - Transition F1: 0.5988, Precision: 0.5931, Recall: 0.6246 +2026-04-09 02:40:31,559 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:40:31,559 - INFO - Macro F1: 0.5988 +2026-04-09 02:40:31,559 - INFO - Weighted F1: 0.5390 +2026-04-09 02:40:31,559 - INFO - +2026-04-09 02:40:31,559 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8469 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Overall F1: 0.8549, Precision: 0.8507, Recall: 0.8639 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:40:31,559 - INFO - Macro F1: 0.8549 +2026-04-09 02:40:31,559 - INFO - Weighted F1: 0.8466 +2026-04-09 02:40:31,559 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9127 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Steady F1: 0.9043, Precision: 0.8996, Recall: 0.9135 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:40:31,559 - INFO - Macro F1: 0.9043 +2026-04-09 02:40:31,559 - INFO - Weighted F1: 0.9126 +2026-04-09 02:40:31,559 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5479 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Transition F1: 0.6028, Precision: 0.5933, Recall: 0.6299 +2026-04-09 02:40:31,559 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:40:31,559 - INFO - Macro F1: 0.6028 +2026-04-09 02:40:31,559 - INFO - Weighted F1: 0.5389 +2026-04-09 02:40:31,559 - INFO - +2026-04-09 02:40:31,559 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8492 +2026-04-09 02:40:31,559 - INFO - Horizon 0.5s - Overall F1: 0.8568, Precision: 0.8603, Recall: 0.8580 +2026-04-09 02:40:31,560 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.8568 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.8481 +2026-04-09 02:40:31,560 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9130 +2026-04-09 02:40:31,560 - INFO - Horizon 0.5s - Steady F1: 0.9060, Precision: 0.9030, Recall: 0.9117 +2026-04-09 02:40:31,560 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.9060 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.9129 +2026-04-09 02:40:31,560 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5535 +2026-04-09 02:40:31,560 - INFO - Horizon 0.5s - Transition F1: 0.5941, Precision: 0.6206, Recall: 0.5950 +2026-04-09 02:40:31,560 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.5941 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.5501 +2026-04-09 02:40:31,560 - INFO - +2026-04-09 02:40:31,560 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8105 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Overall F1: 0.8225, Precision: 0.8379, Recall: 0.8124 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.8225 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.8053 +2026-04-09 02:40:31,560 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8828 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Steady F1: 0.8719, Precision: 0.8862, Recall: 0.8633 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.8719 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.8802 +2026-04-09 02:40:31,560 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4684 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Transition F1: 0.5537, Precision: 0.5950, Recall: 0.5360 +2026-04-09 02:40:31,560 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:40:31,560 - INFO - Macro F1: 0.5537 +2026-04-09 02:40:31,560 - INFO - Weighted F1: 0.4643 +2026-04-09 02:40:31,763 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_37.pt +2026-04-09 02:40:31,766 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,767 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,767 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,768 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,769 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,770 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,770 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,771 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,772 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,773 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,773 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,774 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,775 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,775 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,776 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,777 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_37.csv +2026-04-09 02:40:31,778 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_37.csv +2026-04-09 02:40:31,778 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_37.csv +2026-04-09 02:40:31,783 - INFO - Removed old checkpoint: checkpoint_epoch_36.pt +2026-04-09 02:40:31,784 - INFO - Epoch 38/50, Learning Rate: 0.000032 +2026-04-09 02:41:11,807 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:41:11,892 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:41:11,964 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:41:12,034 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:41:12,096 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:41:12,157 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:41:14,203 - INFO - Epoch 38/50: +2026-04-09 02:41:14,203 - INFO - Train: loss=0.6887, accuracy_overall=0.9236 +2026-04-09 02:41:14,203 - INFO - Horizon 0.0s: accuracy=0.9228 +2026-04-09 02:41:14,203 - INFO - Horizon 0.1s: accuracy=0.9322 +2026-04-09 02:41:14,203 - INFO - Horizon 0.2s: accuracy=0.9340 +2026-04-09 02:41:14,203 - INFO - Horizon 0.3s: accuracy=0.9293 +2026-04-09 02:41:14,203 - INFO - Horizon 0.5s: accuracy=0.9245 +2026-04-09 02:41:14,203 - INFO - Horizon 1.0s: accuracy=0.8988 +2026-04-09 02:41:14,203 - INFO - Val Horizon 0.0s - Overall: loss=0.8522, accuracy=0.8519 +2026-04-09 02:41:14,203 - INFO - Horizon 0.0s - Overall F1: 0.8492, Precision: 0.8474, Recall: 0.8553 +2026-04-09 02:41:14,203 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:41:14,203 - INFO - Macro F1: 0.8492 +2026-04-09 02:41:14,203 - INFO - Weighted F1: 0.8511 +2026-04-09 02:41:14,204 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9176 +2026-04-09 02:41:14,204 - INFO - Horizon 0.0s - Steady F1: 0.9015, Precision: 0.8985, Recall: 0.9105 +2026-04-09 02:41:14,204 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:41:14,204 - INFO - Macro F1: 0.9015 +2026-04-09 02:41:14,204 - INFO - Weighted F1: 0.9178 +2026-04-09 02:41:14,204 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5488 +2026-04-09 02:41:14,204 - INFO - Horizon 0.0s - Transition F1: 0.5892, Precision: 0.5783, Recall: 0.6082 +2026-04-09 02:41:14,204 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:41:14,204 - INFO - Macro F1: 0.5892 +2026-04-09 02:41:14,204 - INFO - Weighted F1: 0.5458 +2026-04-09 02:41:14,204 - INFO - +2026-04-09 02:41:14,204 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8552 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Overall F1: 0.8553, Precision: 0.8519, Recall: 0.8637 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:41:14,204 - INFO - Macro F1: 0.8553 +2026-04-09 02:41:14,204 - INFO - Weighted F1: 0.8548 +2026-04-09 02:41:14,204 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9199 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Steady F1: 0.9060, Precision: 0.9009, Recall: 0.9174 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:41:14,204 - INFO - Macro F1: 0.9060 +2026-04-09 02:41:14,204 - INFO - Weighted F1: 0.9202 +2026-04-09 02:41:14,204 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5612 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Transition F1: 0.5961, Precision: 0.5854, Recall: 0.6192 +2026-04-09 02:41:14,204 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:41:14,204 - INFO - Macro F1: 0.5961 +2026-04-09 02:41:14,204 - INFO - Weighted F1: 0.5560 +2026-04-09 02:41:14,205 - INFO - +2026-04-09 02:41:14,205 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8527 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Overall F1: 0.8574, Precision: 0.8539, Recall: 0.8654 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:41:14,205 - INFO - Macro F1: 0.8574 +2026-04-09 02:41:14,205 - INFO - Weighted F1: 0.8517 +2026-04-09 02:41:14,205 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9173 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Steady F1: 0.9086, Precision: 0.9043, Recall: 0.9177 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:41:14,205 - INFO - Macro F1: 0.9086 +2026-04-09 02:41:14,205 - INFO - Weighted F1: 0.9171 +2026-04-09 02:41:14,205 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5515 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Transition F1: 0.5961, Precision: 0.5877, Recall: 0.6166 +2026-04-09 02:41:14,205 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:41:14,205 - INFO - Macro F1: 0.5961 +2026-04-09 02:41:14,205 - INFO - Weighted F1: 0.5455 +2026-04-09 02:41:14,205 - INFO - +2026-04-09 02:41:14,205 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8538 +2026-04-09 02:41:14,205 - INFO - Horizon 0.3s - Overall F1: 0.8608, Precision: 0.8591, Recall: 0.8669 +2026-04-09 02:41:14,205 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:41:14,205 - INFO - Macro F1: 0.8608 +2026-04-09 02:41:14,205 - INFO - Weighted F1: 0.8534 +2026-04-09 02:41:14,205 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9171 +2026-04-09 02:41:14,205 - INFO - Horizon 0.3s - Steady F1: 0.9100, Precision: 0.9077, Recall: 0.9167 +2026-04-09 02:41:14,206 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:41:14,206 - INFO - Macro F1: 0.9100 +2026-04-09 02:41:14,206 - INFO - Weighted F1: 0.9168 +2026-04-09 02:41:14,206 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5656 +2026-04-09 02:41:14,206 - INFO - Horizon 0.3s - Transition F1: 0.6094, Precision: 0.6066, Recall: 0.6223 +2026-04-09 02:41:14,206 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:41:14,206 - INFO - Macro F1: 0.6094 +2026-04-09 02:41:14,206 - INFO - Weighted F1: 0.5600 +2026-04-09 02:41:14,206 - INFO - +2026-04-09 02:41:14,206 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8503 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Overall F1: 0.8573, Precision: 0.8637, Recall: 0.8558 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:41:14,206 - INFO - Macro F1: 0.8573 +2026-04-09 02:41:14,206 - INFO - Weighted F1: 0.8489 +2026-04-09 02:41:14,206 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9109 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Steady F1: 0.9042, Precision: 0.9038, Recall: 0.9081 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:41:14,206 - INFO - Macro F1: 0.9042 +2026-04-09 02:41:14,206 - INFO - Weighted F1: 0.9106 +2026-04-09 02:41:14,206 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5695 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Transition F1: 0.5949, Precision: 0.6278, Recall: 0.5877 +2026-04-09 02:41:14,206 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:41:14,206 - INFO - Macro F1: 0.5949 +2026-04-09 02:41:14,206 - INFO - Weighted F1: 0.5676 +2026-04-09 02:41:14,206 - INFO - +2026-04-09 02:41:14,206 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8209 +2026-04-09 02:41:14,206 - INFO - Horizon 1.0s - Overall F1: 0.8309, Precision: 0.8467, Recall: 0.8210 +2026-04-09 02:41:14,206 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:41:14,207 - INFO - Macro F1: 0.8309 +2026-04-09 02:41:14,207 - INFO - Weighted F1: 0.8158 +2026-04-09 02:41:14,207 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8901 +2026-04-09 02:41:14,207 - INFO - Horizon 1.0s - Steady F1: 0.8798, Precision: 0.8974, Recall: 0.8697 +2026-04-09 02:41:14,207 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:41:14,207 - INFO - Macro F1: 0.8798 +2026-04-09 02:41:14,207 - INFO - Weighted F1: 0.8873 +2026-04-09 02:41:14,207 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4938 +2026-04-09 02:41:14,207 - INFO - Horizon 1.0s - Transition F1: 0.5729, Precision: 0.6134, Recall: 0.5534 +2026-04-09 02:41:14,207 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:41:14,207 - INFO - Macro F1: 0.5729 +2026-04-09 02:41:14,207 - INFO - Weighted F1: 0.4903 +2026-04-09 02:41:14,374 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_38.pt +2026-04-09 02:41:14,377 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,377 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,378 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,379 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,380 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,380 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,381 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,382 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,383 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,383 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,384 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,385 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,386 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,386 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,387 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,388 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_38.csv +2026-04-09 02:41:14,389 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_38.csv +2026-04-09 02:41:14,389 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_38.csv +2026-04-09 02:41:14,399 - INFO - Removed old checkpoint: checkpoint_epoch_37.pt +2026-04-09 02:41:14,400 - INFO - Epoch 39/50, Learning Rate: 0.000028 +2026-04-09 02:41:48,753 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:41:48,818 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:41:48,875 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:41:48,932 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:41:48,989 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:41:49,046 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:41:50,883 - INFO - Epoch 39/50: +2026-04-09 02:41:50,883 - INFO - Train: loss=0.6835, accuracy_overall=0.9270 +2026-04-09 02:41:50,883 - INFO - Horizon 0.0s: accuracy=0.9346 +2026-04-09 02:41:50,883 - INFO - Horizon 0.1s: accuracy=0.9387 +2026-04-09 02:41:50,883 - INFO - Horizon 0.2s: accuracy=0.9370 +2026-04-09 02:41:50,883 - INFO - Horizon 0.3s: accuracy=0.9312 +2026-04-09 02:41:50,883 - INFO - Horizon 0.5s: accuracy=0.9202 +2026-04-09 02:41:50,883 - INFO - Horizon 1.0s: accuracy=0.9002 +2026-04-09 02:41:50,883 - INFO - Val Horizon 0.0s - Overall: loss=0.8607, accuracy=0.8499 +2026-04-09 02:41:50,883 - INFO - Horizon 0.0s - Overall F1: 0.8474, Precision: 0.8474, Recall: 0.8527 +2026-04-09 02:41:50,883 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:41:50,883 - INFO - Macro F1: 0.8474 +2026-04-09 02:41:50,883 - INFO - Weighted F1: 0.8471 +2026-04-09 02:41:50,883 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9164 +2026-04-09 02:41:50,884 - INFO - Horizon 0.0s - Steady F1: 0.9014, Precision: 0.8977, Recall: 0.9099 +2026-04-09 02:41:50,884 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:41:50,884 - INFO - Macro F1: 0.9014 +2026-04-09 02:41:50,884 - INFO - Weighted F1: 0.9161 +2026-04-09 02:41:50,884 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5431 +2026-04-09 02:41:50,884 - INFO - Horizon 0.0s - Transition F1: 0.5782, Precision: 0.5740, Recall: 0.5955 +2026-04-09 02:41:50,884 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:41:50,884 - INFO - Macro F1: 0.5782 +2026-04-09 02:41:50,884 - INFO - Weighted F1: 0.5354 +2026-04-09 02:41:50,884 - INFO - +2026-04-09 02:41:50,884 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8564 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Overall F1: 0.8561, Precision: 0.8545, Recall: 0.8636 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:41:50,884 - INFO - Macro F1: 0.8561 +2026-04-09 02:41:50,884 - INFO - Weighted F1: 0.8540 +2026-04-09 02:41:50,884 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9207 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Steady F1: 0.9091, Precision: 0.9050, Recall: 0.9188 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:41:50,884 - INFO - Macro F1: 0.9091 +2026-04-09 02:41:50,884 - INFO - Weighted F1: 0.9202 +2026-04-09 02:41:50,884 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5637 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Transition F1: 0.5940, Precision: 0.5850, Recall: 0.6167 +2026-04-09 02:41:50,884 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:41:50,884 - INFO - Macro F1: 0.5940 +2026-04-09 02:41:50,884 - INFO - Weighted F1: 0.5570 +2026-04-09 02:41:50,884 - INFO - +2026-04-09 02:41:50,884 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8541 +2026-04-09 02:41:50,884 - INFO - Horizon 0.2s - Overall F1: 0.8569, Precision: 0.8558, Recall: 0.8640 +2026-04-09 02:41:50,885 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.8569 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.8515 +2026-04-09 02:41:50,885 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9184 +2026-04-09 02:41:50,885 - INFO - Horizon 0.2s - Steady F1: 0.9084, Precision: 0.9056, Recall: 0.9163 +2026-04-09 02:41:50,885 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.9084 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.9176 +2026-04-09 02:41:50,885 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5541 +2026-04-09 02:41:50,885 - INFO - Horizon 0.2s - Transition F1: 0.5969, Precision: 0.5958, Recall: 0.6119 +2026-04-09 02:41:50,885 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.5969 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.5487 +2026-04-09 02:41:50,885 - INFO - +2026-04-09 02:41:50,885 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8531 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Overall F1: 0.8589, Precision: 0.8584, Recall: 0.8647 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.8589 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.8511 +2026-04-09 02:41:50,885 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9178 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Steady F1: 0.9089, Precision: 0.9086, Recall: 0.9133 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.9089 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.9169 +2026-04-09 02:41:50,885 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5586 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Transition F1: 0.6026, Precision: 0.6034, Recall: 0.6139 +2026-04-09 02:41:50,885 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:41:50,885 - INFO - Macro F1: 0.6026 +2026-04-09 02:41:50,885 - INFO - Weighted F1: 0.5539 +2026-04-09 02:41:50,886 - INFO - +2026-04-09 02:41:50,886 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8476 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Overall F1: 0.8533, Precision: 0.8612, Recall: 0.8516 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:41:50,886 - INFO - Macro F1: 0.8533 +2026-04-09 02:41:50,886 - INFO - Weighted F1: 0.8449 +2026-04-09 02:41:50,886 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9115 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Steady F1: 0.9022, Precision: 0.9034, Recall: 0.9044 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:41:50,886 - INFO - Macro F1: 0.9022 +2026-04-09 02:41:50,886 - INFO - Weighted F1: 0.9106 +2026-04-09 02:41:50,886 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5516 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Transition F1: 0.5875, Precision: 0.6273, Recall: 0.5819 +2026-04-09 02:41:50,886 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:41:50,886 - INFO - Macro F1: 0.5875 +2026-04-09 02:41:50,886 - INFO - Weighted F1: 0.5472 +2026-04-09 02:41:50,886 - INFO - +2026-04-09 02:41:50,886 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8125 +2026-04-09 02:41:50,886 - INFO - Horizon 1.0s - Overall F1: 0.8190, Precision: 0.8395, Recall: 0.8126 +2026-04-09 02:41:50,886 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:41:50,886 - INFO - Macro F1: 0.8190 +2026-04-09 02:41:50,886 - INFO - Weighted F1: 0.8029 +2026-04-09 02:41:50,886 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8893 +2026-04-09 02:41:50,886 - INFO - Horizon 1.0s - Steady F1: 0.8715, Precision: 0.8926, Recall: 0.8646 +2026-04-09 02:41:50,886 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:41:50,886 - INFO - Macro F1: 0.8715 +2026-04-09 02:41:50,886 - INFO - Weighted F1: 0.8846 +2026-04-09 02:41:50,886 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4496 +2026-04-09 02:41:50,887 - INFO - Horizon 1.0s - Transition F1: 0.5531, Precision: 0.5903, Recall: 0.5458 +2026-04-09 02:41:50,887 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:41:50,887 - INFO - Macro F1: 0.5531 +2026-04-09 02:41:50,887 - INFO - Weighted F1: 0.4411 +2026-04-09 02:41:51,028 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_39.pt +2026-04-09 02:41:51,030 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,030 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,031 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,032 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,033 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,034 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,034 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,035 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,036 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,037 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,037 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,038 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,039 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,040 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,040 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,041 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_39.csv +2026-04-09 02:41:51,042 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_39.csv +2026-04-09 02:41:51,043 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_39.csv +2026-04-09 02:41:51,047 - INFO - Removed old checkpoint: checkpoint_epoch_38.pt +2026-04-09 02:41:51,048 - INFO - Epoch 40/50, Learning Rate: 0.000024 +2026-04-09 02:42:36,599 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:42:36,672 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:42:36,738 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:42:36,808 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:42:36,905 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:42:36,981 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:42:39,401 - INFO - Epoch 40/50: +2026-04-09 02:42:39,402 - INFO - Train: loss=0.6809, accuracy_overall=0.9272 +2026-04-09 02:42:39,402 - INFO - Horizon 0.0s: accuracy=0.9320 +2026-04-09 02:42:39,402 - INFO - Horizon 0.1s: accuracy=0.9352 +2026-04-09 02:42:39,403 - INFO - Horizon 0.2s: accuracy=0.9363 +2026-04-09 02:42:39,403 - INFO - Horizon 0.3s: accuracy=0.9338 +2026-04-09 02:42:39,403 - INFO - Horizon 0.5s: accuracy=0.9295 +2026-04-09 02:42:39,403 - INFO - Horizon 1.0s: accuracy=0.8965 +2026-04-09 02:42:39,403 - INFO - Val Horizon 0.0s - Overall: loss=0.8632, accuracy=0.8495 +2026-04-09 02:42:39,403 - INFO - Horizon 0.0s - Overall F1: 0.8485, Precision: 0.8476, Recall: 0.8554 +2026-04-09 02:42:39,403 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:42:39,403 - INFO - Macro F1: 0.8485 +2026-04-09 02:42:39,403 - INFO - Weighted F1: 0.8486 +2026-04-09 02:42:39,403 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9147 +2026-04-09 02:42:39,403 - INFO - Horizon 0.0s - Steady F1: 0.9009, Precision: 0.8982, Recall: 0.9109 +2026-04-09 02:42:39,403 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:42:39,403 - INFO - Macro F1: 0.9009 +2026-04-09 02:42:39,403 - INFO - Weighted F1: 0.9150 +2026-04-09 02:42:39,404 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5488 +2026-04-09 02:42:39,404 - INFO - Horizon 0.0s - Transition F1: 0.5794, Precision: 0.5718, Recall: 0.6000 +2026-04-09 02:42:39,404 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:42:39,404 - INFO - Macro F1: 0.5794 +2026-04-09 02:42:39,404 - INFO - Weighted F1: 0.5450 +2026-04-09 02:42:39,404 - INFO - +2026-04-09 02:42:39,404 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8557 +2026-04-09 02:42:39,404 - INFO - Horizon 0.1s - Overall F1: 0.8561, Precision: 0.8571, Recall: 0.8628 +2026-04-09 02:42:39,404 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:42:39,404 - INFO - Macro F1: 0.8561 +2026-04-09 02:42:39,404 - INFO - Weighted F1: 0.8546 +2026-04-09 02:42:39,404 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9188 +2026-04-09 02:42:39,405 - INFO - Horizon 0.1s - Steady F1: 0.9061, Precision: 0.9043, Recall: 0.9172 +2026-04-09 02:42:39,405 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:42:39,405 - INFO - Macro F1: 0.9061 +2026-04-09 02:42:39,405 - INFO - Weighted F1: 0.9189 +2026-04-09 02:42:39,405 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5687 +2026-04-09 02:42:39,405 - INFO - Horizon 0.1s - Transition F1: 0.5916, Precision: 0.5918, Recall: 0.6067 +2026-04-09 02:42:39,405 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:42:39,405 - INFO - Macro F1: 0.5916 +2026-04-09 02:42:39,405 - INFO - Weighted F1: 0.5627 +2026-04-09 02:42:39,405 - INFO - +2026-04-09 02:42:39,405 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8470 +2026-04-09 02:42:39,405 - INFO - Horizon 0.2s - Overall F1: 0.8509, Precision: 0.8500, Recall: 0.8589 +2026-04-09 02:42:39,405 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:42:39,406 - INFO - Macro F1: 0.8509 +2026-04-09 02:42:39,406 - INFO - Weighted F1: 0.8454 +2026-04-09 02:42:39,406 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9117 +2026-04-09 02:42:39,406 - INFO - Horizon 0.2s - Steady F1: 0.9006, Precision: 0.8988, Recall: 0.9100 +2026-04-09 02:42:39,406 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:42:39,406 - INFO - Macro F1: 0.9006 +2026-04-09 02:42:39,406 - INFO - Weighted F1: 0.9113 +2026-04-09 02:42:39,406 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5457 +2026-04-09 02:42:39,406 - INFO - Horizon 0.2s - Transition F1: 0.5882, Precision: 0.5829, Recall: 0.6082 +2026-04-09 02:42:39,406 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:42:39,406 - INFO - Macro F1: 0.5882 +2026-04-09 02:42:39,406 - INFO - Weighted F1: 0.5388 +2026-04-09 02:42:39,406 - INFO - +2026-04-09 02:42:39,406 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8489 +2026-04-09 02:42:39,406 - INFO - Horizon 0.3s - Overall F1: 0.8553, Precision: 0.8546, Recall: 0.8648 +2026-04-09 02:42:39,407 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:42:39,407 - INFO - Macro F1: 0.8553 +2026-04-09 02:42:39,407 - INFO - Weighted F1: 0.8472 +2026-04-09 02:42:39,407 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9127 +2026-04-09 02:42:39,407 - INFO - Horizon 0.3s - Steady F1: 0.9027, Precision: 0.9017, Recall: 0.9105 +2026-04-09 02:42:39,407 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:42:39,407 - INFO - Macro F1: 0.9027 +2026-04-09 02:42:39,407 - INFO - Weighted F1: 0.9119 +2026-04-09 02:42:39,407 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5586 +2026-04-09 02:42:39,407 - INFO - Horizon 0.3s - Transition F1: 0.6039, Precision: 0.5988, Recall: 0.6285 +2026-04-09 02:42:39,407 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:42:39,407 - INFO - Macro F1: 0.6039 +2026-04-09 02:42:39,408 - INFO - Weighted F1: 0.5506 +2026-04-09 02:42:39,408 - INFO - +2026-04-09 02:42:39,408 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8523 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Overall F1: 0.8593, Precision: 0.8671, Recall: 0.8582 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:42:39,408 - INFO - Macro F1: 0.8593 +2026-04-09 02:42:39,408 - INFO - Weighted F1: 0.8500 +2026-04-09 02:42:39,408 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9148 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Steady F1: 0.9069, Precision: 0.9077, Recall: 0.9098 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:42:39,408 - INFO - Macro F1: 0.9069 +2026-04-09 02:42:39,408 - INFO - Weighted F1: 0.9142 +2026-04-09 02:42:39,408 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5625 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Transition F1: 0.6043, Precision: 0.6288, Recall: 0.6026 +2026-04-09 02:42:39,408 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:42:39,408 - INFO - Macro F1: 0.6043 +2026-04-09 02:42:39,408 - INFO - Weighted F1: 0.5580 +2026-04-09 02:42:39,408 - INFO - +2026-04-09 02:42:39,408 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8185 +2026-04-09 02:42:39,408 - INFO - Horizon 1.0s - Overall F1: 0.8262, Precision: 0.8497, Recall: 0.8131 +2026-04-09 02:42:39,409 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:42:39,409 - INFO - Macro F1: 0.8262 +2026-04-09 02:42:39,409 - INFO - Weighted F1: 0.8117 +2026-04-09 02:42:39,409 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8904 +2026-04-09 02:42:39,409 - INFO - Horizon 1.0s - Steady F1: 0.8751, Precision: 0.8972, Recall: 0.8628 +2026-04-09 02:42:39,409 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:42:39,409 - INFO - Macro F1: 0.8751 +2026-04-09 02:42:39,409 - INFO - Weighted F1: 0.8868 +2026-04-09 02:42:39,409 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4789 +2026-04-09 02:42:39,409 - INFO - Horizon 1.0s - Transition F1: 0.5485, Precision: 0.6043, Recall: 0.5247 +2026-04-09 02:42:39,409 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:42:39,409 - INFO - Macro F1: 0.5485 +2026-04-09 02:42:39,409 - INFO - Weighted F1: 0.4761 +2026-04-09 02:42:39,606 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_40.pt +2026-04-09 02:42:39,608 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,609 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,610 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,611 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,611 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,612 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,613 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,613 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,614 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,615 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,616 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,616 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,617 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,618 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,618 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,619 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_40.csv +2026-04-09 02:42:39,620 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_40.csv +2026-04-09 02:42:39,621 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_40.csv +2026-04-09 02:42:39,635 - INFO - Removed old checkpoint: checkpoint_epoch_39.pt +2026-04-09 02:42:39,636 - INFO - Epoch 41/50, Learning Rate: 0.000020 +2026-04-09 02:43:24,888 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:43:24,955 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:43:25,018 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:43:25,077 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:43:25,136 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:43:25,197 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:43:27,207 - INFO - Epoch 41/50: +2026-04-09 02:43:27,207 - INFO - Train: loss=0.6795, accuracy_overall=0.9281 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s: accuracy=0.9310 +2026-04-09 02:43:27,208 - INFO - Horizon 0.1s: accuracy=0.9331 +2026-04-09 02:43:27,208 - INFO - Horizon 0.2s: accuracy=0.9341 +2026-04-09 02:43:27,208 - INFO - Horizon 0.3s: accuracy=0.9329 +2026-04-09 02:43:27,208 - INFO - Horizon 0.5s: accuracy=0.9331 +2026-04-09 02:43:27,208 - INFO - Horizon 1.0s: accuracy=0.9041 +2026-04-09 02:43:27,208 - INFO - Val Horizon 0.0s - Overall: loss=0.8536, accuracy=0.8538 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Overall F1: 0.8551, Precision: 0.8524, Recall: 0.8641 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:43:27,208 - INFO - Macro F1: 0.8551 +2026-04-09 02:43:27,208 - INFO - Weighted F1: 0.8533 +2026-04-09 02:43:27,208 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9182 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Steady F1: 0.9053, Precision: 0.8997, Recall: 0.9187 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:43:27,208 - INFO - Macro F1: 0.9053 +2026-04-09 02:43:27,208 - INFO - Weighted F1: 0.9187 +2026-04-09 02:43:27,208 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5565 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Transition F1: 0.5950, Precision: 0.5884, Recall: 0.6128 +2026-04-09 02:43:27,208 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:43:27,209 - INFO - Macro F1: 0.5950 +2026-04-09 02:43:27,209 - INFO - Weighted F1: 0.5527 +2026-04-09 02:43:27,209 - INFO - +2026-04-09 02:43:27,209 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8593 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Overall F1: 0.8608, Precision: 0.8585, Recall: 0.8706 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:43:27,209 - INFO - Macro F1: 0.8608 +2026-04-09 02:43:27,209 - INFO - Weighted F1: 0.8587 +2026-04-09 02:43:27,209 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9218 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Steady F1: 0.9097, Precision: 0.9047, Recall: 0.9236 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:43:27,209 - INFO - Macro F1: 0.9097 +2026-04-09 02:43:27,209 - INFO - Weighted F1: 0.9223 +2026-04-09 02:43:27,209 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5750 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Transition F1: 0.6049, Precision: 0.5946, Recall: 0.6297 +2026-04-09 02:43:27,209 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:43:27,209 - INFO - Macro F1: 0.6049 +2026-04-09 02:43:27,209 - INFO - Weighted F1: 0.5692 +2026-04-09 02:43:27,209 - INFO - +2026-04-09 02:43:27,209 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8553 +2026-04-09 02:43:27,209 - INFO - Horizon 0.2s - Overall F1: 0.8607, Precision: 0.8611, Recall: 0.8685 +2026-04-09 02:43:27,209 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:43:27,209 - INFO - Macro F1: 0.8607 +2026-04-09 02:43:27,209 - INFO - Weighted F1: 0.8539 +2026-04-09 02:43:27,210 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9177 +2026-04-09 02:43:27,210 - INFO - Horizon 0.2s - Steady F1: 0.9089, Precision: 0.9058, Recall: 0.9193 +2026-04-09 02:43:27,210 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:43:27,210 - INFO - Macro F1: 0.9089 +2026-04-09 02:43:27,210 - INFO - Weighted F1: 0.9177 +2026-04-09 02:43:27,210 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5644 +2026-04-09 02:43:27,210 - INFO - Horizon 0.2s - Transition F1: 0.6108, Precision: 0.6088, Recall: 0.6293 +2026-04-09 02:43:27,210 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:43:27,210 - INFO - Macro F1: 0.6108 +2026-04-09 02:43:27,210 - INFO - Weighted F1: 0.5564 +2026-04-09 02:43:27,210 - INFO - +2026-04-09 02:43:27,210 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8532 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Overall F1: 0.8609, Precision: 0.8614, Recall: 0.8686 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:43:27,210 - INFO - Macro F1: 0.8609 +2026-04-09 02:43:27,210 - INFO - Weighted F1: 0.8522 +2026-04-09 02:43:27,210 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9163 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Steady F1: 0.9085, Precision: 0.9069, Recall: 0.9162 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:43:27,210 - INFO - Macro F1: 0.9085 +2026-04-09 02:43:27,210 - INFO - Weighted F1: 0.9160 +2026-04-09 02:43:27,210 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5662 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Transition F1: 0.6224, Precision: 0.6145, Recall: 0.6459 +2026-04-09 02:43:27,210 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:43:27,211 - INFO - Macro F1: 0.6224 +2026-04-09 02:43:27,211 - INFO - Weighted F1: 0.5590 +2026-04-09 02:43:27,211 - INFO - +2026-04-09 02:43:27,211 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8534 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Overall F1: 0.8611, Precision: 0.8657, Recall: 0.8632 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:43:27,211 - INFO - Macro F1: 0.8611 +2026-04-09 02:43:27,211 - INFO - Weighted F1: 0.8524 +2026-04-09 02:43:27,211 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9157 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Steady F1: 0.9096, Precision: 0.9058, Recall: 0.9172 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:43:27,211 - INFO - Macro F1: 0.9096 +2026-04-09 02:43:27,211 - INFO - Weighted F1: 0.9157 +2026-04-09 02:43:27,211 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5644 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Transition F1: 0.5959, Precision: 0.6252, Recall: 0.5937 +2026-04-09 02:43:27,211 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:43:27,211 - INFO - Macro F1: 0.5959 +2026-04-09 02:43:27,211 - INFO - Weighted F1: 0.5591 +2026-04-09 02:43:27,211 - INFO - +2026-04-09 02:43:27,211 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8200 +2026-04-09 02:43:27,211 - INFO - Horizon 1.0s - Overall F1: 0.8294, Precision: 0.8482, Recall: 0.8182 +2026-04-09 02:43:27,211 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:43:27,211 - INFO - Macro F1: 0.8294 +2026-04-09 02:43:27,211 - INFO - Weighted F1: 0.8142 +2026-04-09 02:43:27,211 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8896 +2026-04-09 02:43:27,212 - INFO - Horizon 1.0s - Steady F1: 0.8777, Precision: 0.8950, Recall: 0.8672 +2026-04-09 02:43:27,212 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:43:27,212 - INFO - Macro F1: 0.8777 +2026-04-09 02:43:27,212 - INFO - Weighted F1: 0.8868 +2026-04-09 02:43:27,212 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4912 +2026-04-09 02:43:27,212 - INFO - Horizon 1.0s - Transition F1: 0.5666, Precision: 0.6092, Recall: 0.5485 +2026-04-09 02:43:27,212 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:43:27,212 - INFO - Macro F1: 0.5666 +2026-04-09 02:43:27,212 - INFO - Weighted F1: 0.4884 +2026-04-09 02:43:27,403 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_41.pt +2026-04-09 02:43:27,406 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,407 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:43:27,407 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,408 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,409 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:43:27,410 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,410 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,411 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:43:27,412 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,413 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,413 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:43:27,414 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,415 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,415 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:43:27,416 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,417 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,417 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:43:27,418 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,419 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,420 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:43:27,420 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,421 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,422 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:43:27,422 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,423 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,424 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:43:27,425 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,425 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,426 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:43:27,427 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,427 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,428 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:43:27,429 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,430 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,430 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:43:27,431 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,432 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,432 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:43:27,433 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,434 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,435 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:43:27,435 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,436 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,437 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:43:27,437 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,438 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_41.csv +2026-04-09 02:43:27,439 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:43:27,440 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:43:27,440 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_41.csv +2026-04-09 02:43:27,441 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:43:27,442 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:43:27,442 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_41.csv +2026-04-09 02:43:27,443 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:43:27,444 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:43:27,462 - INFO - Removed old checkpoint: checkpoint_epoch_40.pt +2026-04-09 02:43:27,627 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:43:27,644 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:43:27,784 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:43:27,786 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:43:27,787 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:43:27,788 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:43:27,789 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:43:27,790 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:43:27,791 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:43:27,792 - INFO - Epoch 42/50, Learning Rate: 0.000016 +2026-04-09 02:44:09,042 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:44:09,114 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:44:09,184 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:44:09,249 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:44:09,312 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:44:09,374 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:44:11,477 - INFO - Epoch 42/50: +2026-04-09 02:44:11,477 - INFO - Train: loss=0.6865, accuracy_overall=0.9234 +2026-04-09 02:44:11,477 - INFO - Horizon 0.0s: accuracy=0.9274 +2026-04-09 02:44:11,477 - INFO - Horizon 0.1s: accuracy=0.9309 +2026-04-09 02:44:11,477 - INFO - Horizon 0.2s: accuracy=0.9312 +2026-04-09 02:44:11,478 - INFO - Horizon 0.3s: accuracy=0.9321 +2026-04-09 02:44:11,478 - INFO - Horizon 0.5s: accuracy=0.9243 +2026-04-09 02:44:11,478 - INFO - Horizon 1.0s: accuracy=0.8941 +2026-04-09 02:44:11,478 - INFO - Val Horizon 0.0s - Overall: loss=0.8460, accuracy=0.8561 +2026-04-09 02:44:11,478 - INFO - Horizon 0.0s - Overall F1: 0.8566, Precision: 0.8552, Recall: 0.8634 +2026-04-09 02:44:11,478 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:44:11,478 - INFO - Macro F1: 0.8566 +2026-04-09 02:44:11,478 - INFO - Weighted F1: 0.8555 +2026-04-09 02:44:11,478 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9216 +2026-04-09 02:44:11,478 - INFO - Horizon 0.0s - Steady F1: 0.9093, Precision: 0.9044, Recall: 0.9202 +2026-04-09 02:44:11,478 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:44:11,478 - INFO - Macro F1: 0.9093 +2026-04-09 02:44:11,478 - INFO - Weighted F1: 0.9220 +2026-04-09 02:44:11,478 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5539 +2026-04-09 02:44:11,479 - INFO - Horizon 0.0s - Transition F1: 0.5945, Precision: 0.5881, Recall: 0.6136 +2026-04-09 02:44:11,479 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:44:11,479 - INFO - Macro F1: 0.5945 +2026-04-09 02:44:11,479 - INFO - Weighted F1: 0.5492 +2026-04-09 02:44:11,479 - INFO - +2026-04-09 02:44:11,479 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8586 +2026-04-09 02:44:11,479 - INFO - Horizon 0.1s - Overall F1: 0.8604, Precision: 0.8575, Recall: 0.8690 +2026-04-09 02:44:11,479 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:44:11,479 - INFO - Macro F1: 0.8604 +2026-04-09 02:44:11,479 - INFO - Weighted F1: 0.8578 +2026-04-09 02:44:11,479 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9233 +2026-04-09 02:44:11,479 - INFO - Horizon 0.1s - Steady F1: 0.9124, Precision: 0.9064, Recall: 0.9245 +2026-04-09 02:44:11,479 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:44:11,479 - INFO - Macro F1: 0.9124 +2026-04-09 02:44:11,479 - INFO - Weighted F1: 0.9236 +2026-04-09 02:44:11,480 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5643 +2026-04-09 02:44:11,480 - INFO - Horizon 0.1s - Transition F1: 0.5979, Precision: 0.5875, Recall: 0.6252 +2026-04-09 02:44:11,480 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:44:11,480 - INFO - Macro F1: 0.5979 +2026-04-09 02:44:11,480 - INFO - Weighted F1: 0.5575 +2026-04-09 02:44:11,480 - INFO - +2026-04-09 02:44:11,480 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8540 +2026-04-09 02:44:11,480 - INFO - Horizon 0.2s - Overall F1: 0.8592, Precision: 0.8573, Recall: 0.8667 +2026-04-09 02:44:11,480 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:44:11,480 - INFO - Macro F1: 0.8592 +2026-04-09 02:44:11,480 - INFO - Weighted F1: 0.8523 +2026-04-09 02:44:11,480 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9180 +2026-04-09 02:44:11,480 - INFO - Horizon 0.2s - Steady F1: 0.9095, Precision: 0.9050, Recall: 0.9188 +2026-04-09 02:44:11,480 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:44:11,480 - INFO - Macro F1: 0.9095 +2026-04-09 02:44:11,480 - INFO - Weighted F1: 0.9177 +2026-04-09 02:44:11,480 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5553 +2026-04-09 02:44:11,480 - INFO - Horizon 0.2s - Transition F1: 0.6048, Precision: 0.5963, Recall: 0.6272 +2026-04-09 02:44:11,481 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:44:11,481 - INFO - Macro F1: 0.6048 +2026-04-09 02:44:11,481 - INFO - Weighted F1: 0.5482 +2026-04-09 02:44:11,481 - INFO - +2026-04-09 02:44:11,481 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8543 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Overall F1: 0.8620, Precision: 0.8577, Recall: 0.8709 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:44:11,481 - INFO - Macro F1: 0.8620 +2026-04-09 02:44:11,481 - INFO - Weighted F1: 0.8534 +2026-04-09 02:44:11,481 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9175 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Steady F1: 0.9103, Precision: 0.9061, Recall: 0.9188 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:44:11,481 - INFO - Macro F1: 0.9103 +2026-04-09 02:44:11,481 - INFO - Weighted F1: 0.9172 +2026-04-09 02:44:11,481 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5668 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Transition F1: 0.6211, Precision: 0.6064, Recall: 0.6484 +2026-04-09 02:44:11,481 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:44:11,482 - INFO - Macro F1: 0.6211 +2026-04-09 02:44:11,482 - INFO - Weighted F1: 0.5619 +2026-04-09 02:44:11,482 - INFO - +2026-04-09 02:44:11,482 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8590 +2026-04-09 02:44:11,482 - INFO - Horizon 0.5s - Overall F1: 0.8664, Precision: 0.8639, Recall: 0.8724 +2026-04-09 02:44:11,482 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:44:11,482 - INFO - Macro F1: 0.8664 +2026-04-09 02:44:11,482 - INFO - Weighted F1: 0.8584 +2026-04-09 02:44:11,482 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9190 +2026-04-09 02:44:11,482 - INFO - Horizon 0.5s - Steady F1: 0.9131, Precision: 0.9058, Recall: 0.9227 +2026-04-09 02:44:11,482 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:44:11,482 - INFO - Macro F1: 0.9131 +2026-04-09 02:44:11,482 - INFO - Weighted F1: 0.9192 +2026-04-09 02:44:11,482 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5804 +2026-04-09 02:44:11,482 - INFO - Horizon 0.5s - Transition F1: 0.6126, Precision: 0.6198, Recall: 0.6215 +2026-04-09 02:44:11,483 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:44:11,483 - INFO - Macro F1: 0.6126 +2026-04-09 02:44:11,483 - INFO - Weighted F1: 0.5784 +2026-04-09 02:44:11,483 - INFO - +2026-04-09 02:44:11,483 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8245 +2026-04-09 02:44:11,483 - INFO - Horizon 1.0s - Overall F1: 0.8346, Precision: 0.8485, Recall: 0.8284 +2026-04-09 02:44:11,483 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:44:11,483 - INFO - Macro F1: 0.8346 +2026-04-09 02:44:11,483 - INFO - Weighted F1: 0.8189 +2026-04-09 02:44:11,483 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8929 +2026-04-09 02:44:11,483 - INFO - Horizon 1.0s - Steady F1: 0.8826, Precision: 0.8980, Recall: 0.8758 +2026-04-09 02:44:11,483 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:44:11,483 - INFO - Macro F1: 0.8826 +2026-04-09 02:44:11,483 - INFO - Weighted F1: 0.8898 +2026-04-09 02:44:11,483 - INFO - Val Horizon 1.0s - Transition: accuracy=0.5016 +2026-04-09 02:44:11,483 - INFO - Horizon 1.0s - Transition F1: 0.5831, Precision: 0.6092, Recall: 0.5764 +2026-04-09 02:44:11,484 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:44:11,484 - INFO - Macro F1: 0.5831 +2026-04-09 02:44:11,484 - INFO - Weighted F1: 0.4981 +2026-04-09 02:44:11,685 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_42.pt +2026-04-09 02:44:11,687 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,688 - INFO - Saved best overall horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:44:11,689 - INFO - Saved best overall horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,690 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,690 - INFO - Saved best steady horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:44:11,691 - INFO - Saved best steady horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,692 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,693 - INFO - Saved best transition horizon 0.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:44:11,693 - INFO - Saved best transition horizon 0.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,694 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,695 - INFO - Saved best overall horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:44:11,695 - INFO - Saved best overall horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,696 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,697 - INFO - Saved best steady horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:44:11,697 - INFO - Saved best steady horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,698 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,698 - INFO - Saved best transition horizon 0.1s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:44:11,699 - INFO - Saved best transition horizon 0.1s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,700 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,700 - INFO - Saved best overall horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:44:11,701 - INFO - Saved best overall horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,702 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,702 - INFO - Saved best steady horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:44:11,703 - INFO - Saved best steady horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,704 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,704 - INFO - Saved best transition horizon 0.2s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:44:11,705 - INFO - Saved best transition horizon 0.2s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,706 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,706 - INFO - Saved best overall horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:44:11,707 - INFO - Saved best overall horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,708 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,708 - INFO - Saved best steady horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:44:11,709 - INFO - Saved best steady horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,710 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,710 - INFO - Saved best transition horizon 0.3s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:44:11,711 - INFO - Saved best transition horizon 0.3s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,712 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,713 - INFO - Saved best overall horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:44:11,713 - INFO - Saved best overall horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,714 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,714 - INFO - Saved best steady horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:44:11,715 - INFO - Saved best steady horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,716 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,717 - INFO - Saved best transition horizon 0.5s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:44:11,717 - INFO - Saved best transition horizon 0.5s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,718 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_42.csv +2026-04-09 02:44:11,719 - INFO - Saved best overall horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:44:11,719 - INFO - Saved best overall horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv +2026-04-09 02:44:11,720 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_42.csv +2026-04-09 02:44:11,721 - INFO - Saved best steady horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:44:11,721 - INFO - Saved best steady horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv +2026-04-09 02:44:11,722 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_42.csv +2026-04-09 02:44:11,723 - INFO - Saved best transition horizon 1.0s model metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:44:11,723 - INFO - Saved best transition horizon 1.0s confusion matrix: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv +2026-04-09 02:44:11,731 - INFO - Removed old checkpoint: checkpoint_epoch_41.pt +2026-04-09 02:44:11,911 - INFO - Saved best model checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/best_model.pt +2026-04-09 02:44:11,928 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:44:12,071 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results.csv +2026-04-09 02:44:12,073 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.0s.csv +2026-04-09 02:44:12,074 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.1s.csv +2026-04-09 02:44:12,075 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.2s.csv +2026-04-09 02:44:12,076 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.3s.csv +2026-04-09 02:44:12,077 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_0.5s.csv +2026-04-09 02:44:12,078 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/best_val_subject_results_horizon_1.0s.csv +2026-04-09 02:44:12,079 - INFO - Epoch 43/50, Learning Rate: 0.000013 +2026-04-09 02:44:54,311 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:44:54,381 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:44:54,444 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:44:54,508 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:44:54,568 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:44:54,625 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:44:56,674 - INFO - Epoch 43/50: +2026-04-09 02:44:56,675 - INFO - Train: loss=0.6833, accuracy_overall=0.9272 +2026-04-09 02:44:56,675 - INFO - Horizon 0.0s: accuracy=0.9260 +2026-04-09 02:44:56,675 - INFO - Horizon 0.1s: accuracy=0.9354 +2026-04-09 02:44:56,675 - INFO - Horizon 0.2s: accuracy=0.9368 +2026-04-09 02:44:56,675 - INFO - Horizon 0.3s: accuracy=0.9328 +2026-04-09 02:44:56,675 - INFO - Horizon 0.5s: accuracy=0.9269 +2026-04-09 02:44:56,675 - INFO - Horizon 1.0s: accuracy=0.9054 +2026-04-09 02:44:56,675 - INFO - Val Horizon 0.0s - Overall: loss=0.8481, accuracy=0.8536 +2026-04-09 02:44:56,675 - INFO - Horizon 0.0s - Overall F1: 0.8540, Precision: 0.8536, Recall: 0.8601 +2026-04-09 02:44:56,675 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:44:56,675 - INFO - Macro F1: 0.8540 +2026-04-09 02:44:56,676 - INFO - Weighted F1: 0.8521 +2026-04-09 02:44:56,676 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9179 +2026-04-09 02:44:56,676 - INFO - Horizon 0.0s - Steady F1: 0.9042, Precision: 0.9014, Recall: 0.9135 +2026-04-09 02:44:56,676 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:44:56,676 - INFO - Macro F1: 0.9042 +2026-04-09 02:44:56,676 - INFO - Weighted F1: 0.9176 +2026-04-09 02:44:56,676 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5571 +2026-04-09 02:44:56,676 - INFO - Horizon 0.0s - Transition F1: 0.5886, Precision: 0.5887, Recall: 0.6002 +2026-04-09 02:44:56,676 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:44:56,676 - INFO - Macro F1: 0.5886 +2026-04-09 02:44:56,676 - INFO - Weighted F1: 0.5530 +2026-04-09 02:44:56,676 - INFO - +2026-04-09 02:44:56,676 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8584 +2026-04-09 02:44:56,676 - INFO - Horizon 0.1s - Overall F1: 0.8593, Precision: 0.8575, Recall: 0.8672 +2026-04-09 02:44:56,676 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:44:56,676 - INFO - Macro F1: 0.8593 +2026-04-09 02:44:56,676 - INFO - Weighted F1: 0.8568 +2026-04-09 02:44:56,676 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9222 +2026-04-09 02:44:56,676 - INFO - Horizon 0.1s - Steady F1: 0.9101, Precision: 0.9052, Recall: 0.9218 +2026-04-09 02:44:56,677 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:44:56,677 - INFO - Macro F1: 0.9101 +2026-04-09 02:44:56,677 - INFO - Weighted F1: 0.9221 +2026-04-09 02:44:56,677 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5681 +2026-04-09 02:44:56,677 - INFO - Horizon 0.1s - Transition F1: 0.6005, Precision: 0.5923, Recall: 0.6209 +2026-04-09 02:44:56,677 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:44:56,677 - INFO - Macro F1: 0.6005 +2026-04-09 02:44:56,677 - INFO - Weighted F1: 0.5618 +2026-04-09 02:44:56,677 - INFO - +2026-04-09 02:44:56,677 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8518 +2026-04-09 02:44:56,677 - INFO - Horizon 0.2s - Overall F1: 0.8562, Precision: 0.8555, Recall: 0.8642 +2026-04-09 02:44:56,677 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:44:56,677 - INFO - Macro F1: 0.8562 +2026-04-09 02:44:56,677 - INFO - Weighted F1: 0.8492 +2026-04-09 02:44:56,677 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9148 +2026-04-09 02:44:56,677 - INFO - Horizon 0.2s - Steady F1: 0.9045, Precision: 0.9021, Recall: 0.9133 +2026-04-09 02:44:56,677 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:44:56,677 - INFO - Macro F1: 0.9045 +2026-04-09 02:44:56,677 - INFO - Weighted F1: 0.9140 +2026-04-09 02:44:56,677 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5579 +2026-04-09 02:44:56,678 - INFO - Horizon 0.2s - Transition F1: 0.6067, Precision: 0.6000, Recall: 0.6277 +2026-04-09 02:44:56,678 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:44:56,678 - INFO - Macro F1: 0.6067 +2026-04-09 02:44:56,678 - INFO - Weighted F1: 0.5514 +2026-04-09 02:44:56,678 - INFO - +2026-04-09 02:44:56,678 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8503 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Overall F1: 0.8573, Precision: 0.8574, Recall: 0.8638 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:44:56,678 - INFO - Macro F1: 0.8573 +2026-04-09 02:44:56,678 - INFO - Weighted F1: 0.8480 +2026-04-09 02:44:56,678 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9153 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Steady F1: 0.9065, Precision: 0.9069, Recall: 0.9117 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:44:56,678 - INFO - Macro F1: 0.9065 +2026-04-09 02:44:56,678 - INFO - Weighted F1: 0.9141 +2026-04-09 02:44:56,678 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5549 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Transition F1: 0.6090, Precision: 0.6010, Recall: 0.6292 +2026-04-09 02:44:56,678 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:44:56,679 - INFO - Macro F1: 0.6090 +2026-04-09 02:44:56,679 - INFO - Weighted F1: 0.5505 +2026-04-09 02:44:56,679 - INFO - +2026-04-09 02:44:56,679 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8541 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Overall F1: 0.8616, Precision: 0.8647, Recall: 0.8631 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:44:56,679 - INFO - Macro F1: 0.8616 +2026-04-09 02:44:56,679 - INFO - Weighted F1: 0.8522 +2026-04-09 02:44:56,679 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9157 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Steady F1: 0.9086, Precision: 0.9080, Recall: 0.9119 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:44:56,679 - INFO - Macro F1: 0.9086 +2026-04-09 02:44:56,679 - INFO - Weighted F1: 0.9151 +2026-04-09 02:44:56,679 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5682 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Transition F1: 0.6182, Precision: 0.6269, Recall: 0.6251 +2026-04-09 02:44:56,679 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:44:56,679 - INFO - Macro F1: 0.6182 +2026-04-09 02:44:56,679 - INFO - Weighted F1: 0.5656 +2026-04-09 02:44:56,679 - INFO - +2026-04-09 02:44:56,679 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8219 +2026-04-09 02:44:56,679 - INFO - Horizon 1.0s - Overall F1: 0.8317, Precision: 0.8448, Recall: 0.8257 +2026-04-09 02:44:56,680 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:44:56,680 - INFO - Macro F1: 0.8317 +2026-04-09 02:44:56,680 - INFO - Weighted F1: 0.8167 +2026-04-09 02:44:56,680 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8932 +2026-04-09 02:44:56,680 - INFO - Horizon 1.0s - Steady F1: 0.8817, Precision: 0.8936, Recall: 0.8772 +2026-04-09 02:44:56,680 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:44:56,680 - INFO - Macro F1: 0.8817 +2026-04-09 02:44:56,680 - INFO - Weighted F1: 0.8905 +2026-04-09 02:44:56,680 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4854 +2026-04-09 02:44:56,680 - INFO - Horizon 1.0s - Transition F1: 0.5643, Precision: 0.6003, Recall: 0.5500 +2026-04-09 02:44:56,680 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:44:56,680 - INFO - Macro F1: 0.5643 +2026-04-09 02:44:56,680 - INFO - Weighted F1: 0.4825 +2026-04-09 02:44:56,943 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_43.pt +2026-04-09 02:44:56,945 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,946 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,947 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,948 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,949 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,950 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,950 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,951 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,952 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,953 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,953 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,954 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,955 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,956 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,956 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,957 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_43.csv +2026-04-09 02:44:56,958 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_43.csv +2026-04-09 02:44:56,959 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_43.csv +2026-04-09 02:44:56,976 - INFO - Removed old checkpoint: checkpoint_epoch_42.pt +2026-04-09 02:44:56,978 - INFO - Epoch 44/50, Learning Rate: 0.000010 +2026-04-09 02:45:41,568 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:45:41,634 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:45:41,693 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:45:41,751 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:45:41,810 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:45:41,874 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:45:43,865 - INFO - Epoch 44/50: +2026-04-09 02:45:43,865 - INFO - Train: loss=0.6852, accuracy_overall=0.9256 +2026-04-09 02:45:43,865 - INFO - Horizon 0.0s: accuracy=0.9300 +2026-04-09 02:45:43,865 - INFO - Horizon 0.1s: accuracy=0.9327 +2026-04-09 02:45:43,865 - INFO - Horizon 0.2s: accuracy=0.9353 +2026-04-09 02:45:43,865 - INFO - Horizon 0.3s: accuracy=0.9339 +2026-04-09 02:45:43,865 - INFO - Horizon 0.5s: accuracy=0.9237 +2026-04-09 02:45:43,865 - INFO - Horizon 1.0s: accuracy=0.8979 +2026-04-09 02:45:43,865 - INFO - Val Horizon 0.0s - Overall: loss=0.8512, accuracy=0.8532 +2026-04-09 02:45:43,865 - INFO - Horizon 0.0s - Overall F1: 0.8529, Precision: 0.8524, Recall: 0.8578 +2026-04-09 02:45:43,865 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:45:43,865 - INFO - Macro F1: 0.8529 +2026-04-09 02:45:43,865 - INFO - Weighted F1: 0.8515 +2026-04-09 02:45:43,866 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9184 +2026-04-09 02:45:43,866 - INFO - Horizon 0.0s - Steady F1: 0.9049, Precision: 0.9030, Recall: 0.9125 +2026-04-09 02:45:43,866 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:45:43,866 - INFO - Macro F1: 0.9049 +2026-04-09 02:45:43,866 - INFO - Weighted F1: 0.9181 +2026-04-09 02:45:43,866 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5520 +2026-04-09 02:45:43,866 - INFO - Horizon 0.0s - Transition F1: 0.5861, Precision: 0.5777, Recall: 0.6037 +2026-04-09 02:45:43,866 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:45:43,866 - INFO - Macro F1: 0.5861 +2026-04-09 02:45:43,866 - INFO - Weighted F1: 0.5483 +2026-04-09 02:45:43,866 - INFO - +2026-04-09 02:45:43,866 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8600 +2026-04-09 02:45:43,866 - INFO - Horizon 0.1s - Overall F1: 0.8613, Precision: 0.8601, Recall: 0.8670 +2026-04-09 02:45:43,866 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:45:43,866 - INFO - Macro F1: 0.8613 +2026-04-09 02:45:43,866 - INFO - Weighted F1: 0.8582 +2026-04-09 02:45:43,866 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9246 +2026-04-09 02:45:43,866 - INFO - Horizon 0.1s - Steady F1: 0.9137, Precision: 0.9111, Recall: 0.9217 +2026-04-09 02:45:43,866 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:45:43,867 - INFO - Macro F1: 0.9137 +2026-04-09 02:45:43,867 - INFO - Weighted F1: 0.9241 +2026-04-09 02:45:43,867 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5662 +2026-04-09 02:45:43,867 - INFO - Horizon 0.1s - Transition F1: 0.5990, Precision: 0.5907, Recall: 0.6186 +2026-04-09 02:45:43,867 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:45:43,867 - INFO - Macro F1: 0.5990 +2026-04-09 02:45:43,867 - INFO - Weighted F1: 0.5615 +2026-04-09 02:45:43,867 - INFO - +2026-04-09 02:45:43,867 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8523 +2026-04-09 02:45:43,867 - INFO - Horizon 0.2s - Overall F1: 0.8564, Precision: 0.8570, Recall: 0.8614 +2026-04-09 02:45:43,867 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:45:43,867 - INFO - Macro F1: 0.8564 +2026-04-09 02:45:43,867 - INFO - Weighted F1: 0.8497 +2026-04-09 02:45:43,867 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9165 +2026-04-09 02:45:43,867 - INFO - Horizon 0.2s - Steady F1: 0.9063, Precision: 0.9056, Recall: 0.9119 +2026-04-09 02:45:43,867 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:45:43,867 - INFO - Macro F1: 0.9063 +2026-04-09 02:45:43,867 - INFO - Weighted F1: 0.9155 +2026-04-09 02:45:43,867 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5528 +2026-04-09 02:45:43,867 - INFO - Horizon 0.2s - Transition F1: 0.5991, Precision: 0.5936, Recall: 0.6164 +2026-04-09 02:45:43,868 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:45:43,868 - INFO - Macro F1: 0.5991 +2026-04-09 02:45:43,868 - INFO - Weighted F1: 0.5470 +2026-04-09 02:45:43,868 - INFO - +2026-04-09 02:45:43,868 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8535 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Overall F1: 0.8607, Precision: 0.8620, Recall: 0.8645 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:45:43,868 - INFO - Macro F1: 0.8607 +2026-04-09 02:45:43,868 - INFO - Weighted F1: 0.8510 +2026-04-09 02:45:43,868 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9178 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Steady F1: 0.9096, Precision: 0.9121, Recall: 0.9117 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:45:43,868 - INFO - Macro F1: 0.9096 +2026-04-09 02:45:43,868 - INFO - Weighted F1: 0.9165 +2026-04-09 02:45:43,868 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5612 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Transition F1: 0.6168, Precision: 0.6099, Recall: 0.6340 +2026-04-09 02:45:43,868 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:45:43,868 - INFO - Macro F1: 0.6168 +2026-04-09 02:45:43,868 - INFO - Weighted F1: 0.5577 +2026-04-09 02:45:43,868 - INFO - +2026-04-09 02:45:43,869 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8526 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Overall F1: 0.8591, Precision: 0.8695, Recall: 0.8552 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:45:43,869 - INFO - Macro F1: 0.8591 +2026-04-09 02:45:43,869 - INFO - Weighted F1: 0.8495 +2026-04-09 02:45:43,869 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9171 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Steady F1: 0.9102, Precision: 0.9151, Recall: 0.9091 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:45:43,869 - INFO - Macro F1: 0.9102 +2026-04-09 02:45:43,869 - INFO - Weighted F1: 0.9160 +2026-04-09 02:45:43,869 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5535 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Transition F1: 0.5973, Precision: 0.6252, Recall: 0.5936 +2026-04-09 02:45:43,869 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:45:43,869 - INFO - Macro F1: 0.5973 +2026-04-09 02:45:43,869 - INFO - Weighted F1: 0.5507 +2026-04-09 02:45:43,869 - INFO - +2026-04-09 02:45:43,869 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8173 +2026-04-09 02:45:43,869 - INFO - Horizon 1.0s - Overall F1: 0.8277, Precision: 0.8546, Recall: 0.8142 +2026-04-09 02:45:43,869 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:45:43,869 - INFO - Macro F1: 0.8277 +2026-04-09 02:45:43,869 - INFO - Weighted F1: 0.8099 +2026-04-09 02:45:43,869 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8908 +2026-04-09 02:45:43,869 - INFO - Horizon 1.0s - Steady F1: 0.8778, Precision: 0.9045, Recall: 0.8637 +2026-04-09 02:45:43,870 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:45:43,870 - INFO - Macro F1: 0.8778 +2026-04-09 02:45:43,870 - INFO - Weighted F1: 0.8871 +2026-04-09 02:45:43,870 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4697 +2026-04-09 02:45:43,870 - INFO - Horizon 1.0s - Transition F1: 0.5616, Precision: 0.6099, Recall: 0.5427 +2026-04-09 02:45:43,870 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:45:43,870 - INFO - Macro F1: 0.5616 +2026-04-09 02:45:43,870 - INFO - Weighted F1: 0.4652 +2026-04-09 02:45:44,075 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_44.pt +2026-04-09 02:45:44,077 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,078 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,079 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,080 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,081 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,081 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,082 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,083 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,084 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,085 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,085 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,086 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,087 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,088 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,088 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,089 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_44.csv +2026-04-09 02:45:44,090 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_44.csv +2026-04-09 02:45:44,090 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_44.csv +2026-04-09 02:45:44,094 - INFO - Removed old checkpoint: checkpoint_epoch_43.pt +2026-04-09 02:45:44,095 - INFO - Epoch 45/50, Learning Rate: 0.000008 +2026-04-09 02:46:25,615 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:46:25,695 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:46:25,759 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:46:25,822 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:46:25,883 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:46:25,942 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:46:27,990 - INFO - Epoch 45/50: +2026-04-09 02:46:27,991 - INFO - Train: loss=0.6818, accuracy_overall=0.9264 +2026-04-09 02:46:27,991 - INFO - Horizon 0.0s: accuracy=0.9337 +2026-04-09 02:46:27,991 - INFO - Horizon 0.1s: accuracy=0.9359 +2026-04-09 02:46:27,991 - INFO - Horizon 0.2s: accuracy=0.9309 +2026-04-09 02:46:27,991 - INFO - Horizon 0.3s: accuracy=0.9260 +2026-04-09 02:46:27,991 - INFO - Horizon 0.5s: accuracy=0.9265 +2026-04-09 02:46:27,991 - INFO - Horizon 1.0s: accuracy=0.9052 +2026-04-09 02:46:27,991 - INFO - Val Horizon 0.0s - Overall: loss=0.8537, accuracy=0.8516 +2026-04-09 02:46:27,991 - INFO - Horizon 0.0s - Overall F1: 0.8510, Precision: 0.8543, Recall: 0.8544 +2026-04-09 02:46:27,992 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:46:27,992 - INFO - Macro F1: 0.8510 +2026-04-09 02:46:27,992 - INFO - Weighted F1: 0.8498 +2026-04-09 02:46:27,992 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9172 +2026-04-09 02:46:27,992 - INFO - Horizon 0.0s - Steady F1: 0.9029, Precision: 0.9035, Recall: 0.9102 +2026-04-09 02:46:27,992 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:46:27,992 - INFO - Macro F1: 0.9029 +2026-04-09 02:46:27,992 - INFO - Weighted F1: 0.9170 +2026-04-09 02:46:27,992 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5488 +2026-04-09 02:46:27,992 - INFO - Horizon 0.0s - Transition F1: 0.5849, Precision: 0.5839, Recall: 0.5991 +2026-04-09 02:46:27,992 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:46:27,992 - INFO - Macro F1: 0.5849 +2026-04-09 02:46:27,992 - INFO - Weighted F1: 0.5430 +2026-04-09 02:46:27,992 - INFO - +2026-04-09 02:46:27,992 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8581 +2026-04-09 02:46:27,992 - INFO - Horizon 0.1s - Overall F1: 0.8595, Precision: 0.8631, Recall: 0.8623 +2026-04-09 02:46:27,993 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:46:27,993 - INFO - Macro F1: 0.8595 +2026-04-09 02:46:27,993 - INFO - Weighted F1: 0.8563 +2026-04-09 02:46:27,993 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9233 +2026-04-09 02:46:27,993 - INFO - Horizon 0.1s - Steady F1: 0.9125, Precision: 0.9120, Recall: 0.9201 +2026-04-09 02:46:27,993 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:46:27,993 - INFO - Macro F1: 0.9125 +2026-04-09 02:46:27,993 - INFO - Weighted F1: 0.9230 +2026-04-09 02:46:27,993 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5612 +2026-04-09 02:46:27,993 - INFO - Horizon 0.1s - Transition F1: 0.5899, Precision: 0.5964, Recall: 0.5999 +2026-04-09 02:46:27,993 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:46:27,993 - INFO - Macro F1: 0.5899 +2026-04-09 02:46:27,993 - INFO - Weighted F1: 0.5534 +2026-04-09 02:46:27,993 - INFO - +2026-04-09 02:46:27,993 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8536 +2026-04-09 02:46:27,993 - INFO - Horizon 0.2s - Overall F1: 0.8577, Precision: 0.8623, Recall: 0.8598 +2026-04-09 02:46:27,993 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:46:27,993 - INFO - Macro F1: 0.8577 +2026-04-09 02:46:27,993 - INFO - Weighted F1: 0.8508 +2026-04-09 02:46:27,994 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9183 +2026-04-09 02:46:27,994 - INFO - Horizon 0.2s - Steady F1: 0.9094, Precision: 0.9112, Recall: 0.9132 +2026-04-09 02:46:27,994 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:46:27,994 - INFO - Macro F1: 0.9094 +2026-04-09 02:46:27,994 - INFO - Weighted F1: 0.9173 +2026-04-09 02:46:27,994 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5521 +2026-04-09 02:46:27,994 - INFO - Horizon 0.2s - Transition F1: 0.5951, Precision: 0.6010, Recall: 0.6048 +2026-04-09 02:46:27,994 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:46:27,994 - INFO - Macro F1: 0.5951 +2026-04-09 02:46:27,994 - INFO - Weighted F1: 0.5437 +2026-04-09 02:46:27,994 - INFO - +2026-04-09 02:46:27,994 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8506 +2026-04-09 02:46:27,994 - INFO - Horizon 0.3s - Overall F1: 0.8581, Precision: 0.8613, Recall: 0.8598 +2026-04-09 02:46:27,994 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:46:27,994 - INFO - Macro F1: 0.8581 +2026-04-09 02:46:27,994 - INFO - Weighted F1: 0.8479 +2026-04-09 02:46:27,994 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9164 +2026-04-09 02:46:27,994 - INFO - Horizon 0.3s - Steady F1: 0.9084, Precision: 0.9124, Recall: 0.9094 +2026-04-09 02:46:27,995 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:46:27,995 - INFO - Macro F1: 0.9084 +2026-04-09 02:46:27,995 - INFO - Weighted F1: 0.9150 +2026-04-09 02:46:27,995 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5511 +2026-04-09 02:46:27,995 - INFO - Horizon 0.3s - Transition F1: 0.6051, Precision: 0.6032, Recall: 0.6176 +2026-04-09 02:46:27,995 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:46:27,995 - INFO - Macro F1: 0.6051 +2026-04-09 02:46:27,995 - INFO - Weighted F1: 0.5463 +2026-04-09 02:46:27,995 - INFO - +2026-04-09 02:46:27,995 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8470 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Overall F1: 0.8537, Precision: 0.8668, Recall: 0.8476 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:46:27,995 - INFO - Macro F1: 0.8537 +2026-04-09 02:46:27,995 - INFO - Weighted F1: 0.8434 +2026-04-09 02:46:27,995 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9124 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Steady F1: 0.9048, Precision: 0.9129, Recall: 0.9016 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:46:27,995 - INFO - Macro F1: 0.9048 +2026-04-09 02:46:27,995 - INFO - Weighted F1: 0.9110 +2026-04-09 02:46:27,995 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5439 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Transition F1: 0.5830, Precision: 0.6190, Recall: 0.5760 +2026-04-09 02:46:27,995 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:46:27,995 - INFO - Macro F1: 0.5830 +2026-04-09 02:46:27,996 - INFO - Weighted F1: 0.5399 +2026-04-09 02:46:27,996 - INFO - +2026-04-09 02:46:27,996 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8143 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Overall F1: 0.8227, Precision: 0.8522, Recall: 0.8081 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:46:27,996 - INFO - Macro F1: 0.8227 +2026-04-09 02:46:27,996 - INFO - Weighted F1: 0.8063 +2026-04-09 02:46:27,996 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8889 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Steady F1: 0.8747, Precision: 0.9039, Recall: 0.8611 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:46:27,996 - INFO - Macro F1: 0.8747 +2026-04-09 02:46:27,996 - INFO - Weighted F1: 0.8847 +2026-04-09 02:46:27,996 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4619 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Transition F1: 0.5393, Precision: 0.6036, Recall: 0.5110 +2026-04-09 02:46:27,996 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:46:27,996 - INFO - Macro F1: 0.5393 +2026-04-09 02:46:27,996 - INFO - Weighted F1: 0.4570 +2026-04-09 02:46:28,192 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_45.pt +2026-04-09 02:46:28,195 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,197 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,198 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,199 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,200 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,201 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,202 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,203 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,203 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,204 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,205 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,206 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,207 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,207 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,208 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,209 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_45.csv +2026-04-09 02:46:28,210 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_45.csv +2026-04-09 02:46:28,210 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_45.csv +2026-04-09 02:46:28,220 - INFO - Removed old checkpoint: checkpoint_epoch_44.pt +2026-04-09 02:46:28,221 - INFO - Epoch 46/50, Learning Rate: 0.000006 +2026-04-09 02:47:11,852 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:47:11,938 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:47:12,008 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:47:12,083 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:47:12,144 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:47:12,202 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:47:14,227 - INFO - Epoch 46/50: +2026-04-09 02:47:14,227 - INFO - Train: loss=0.6727, accuracy_overall=0.9313 +2026-04-09 02:47:14,227 - INFO - Horizon 0.0s: accuracy=0.9320 +2026-04-09 02:47:14,227 - INFO - Horizon 0.1s: accuracy=0.9403 +2026-04-09 02:47:14,227 - INFO - Horizon 0.2s: accuracy=0.9398 +2026-04-09 02:47:14,227 - INFO - Horizon 0.3s: accuracy=0.9399 +2026-04-09 02:47:14,227 - INFO - Horizon 0.5s: accuracy=0.9296 +2026-04-09 02:47:14,228 - INFO - Horizon 1.0s: accuracy=0.9059 +2026-04-09 02:47:14,228 - INFO - Val Horizon 0.0s - Overall: loss=0.8609, accuracy=0.8497 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Overall F1: 0.8482, Precision: 0.8465, Recall: 0.8568 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:47:14,228 - INFO - Macro F1: 0.8482 +2026-04-09 02:47:14,228 - INFO - Weighted F1: 0.8481 +2026-04-09 02:47:14,228 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9157 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Steady F1: 0.9006, Precision: 0.8960, Recall: 0.9139 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:47:14,228 - INFO - Macro F1: 0.9006 +2026-04-09 02:47:14,228 - INFO - Weighted F1: 0.9158 +2026-04-09 02:47:14,228 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5450 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Transition F1: 0.5804, Precision: 0.5736, Recall: 0.6005 +2026-04-09 02:47:14,228 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:47:14,228 - INFO - Macro F1: 0.5804 +2026-04-09 02:47:14,228 - INFO - Weighted F1: 0.5393 +2026-04-09 02:47:14,228 - INFO - +2026-04-09 02:47:14,228 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8564 +2026-04-09 02:47:14,228 - INFO - Horizon 0.1s - Overall F1: 0.8563, Precision: 0.8560, Recall: 0.8643 +2026-04-09 02:47:14,229 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:47:14,229 - INFO - Macro F1: 0.8563 +2026-04-09 02:47:14,229 - INFO - Weighted F1: 0.8550 +2026-04-09 02:47:14,229 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9208 +2026-04-09 02:47:14,229 - INFO - Horizon 0.1s - Steady F1: 0.9075, Precision: 0.9032, Recall: 0.9210 +2026-04-09 02:47:14,229 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:47:14,229 - INFO - Macro F1: 0.9075 +2026-04-09 02:47:14,229 - INFO - Weighted F1: 0.9208 +2026-04-09 02:47:14,229 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5631 +2026-04-09 02:47:14,229 - INFO - Horizon 0.1s - Transition F1: 0.5905, Precision: 0.5884, Recall: 0.6082 +2026-04-09 02:47:14,229 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:47:14,229 - INFO - Macro F1: 0.5905 +2026-04-09 02:47:14,229 - INFO - Weighted F1: 0.5560 +2026-04-09 02:47:14,229 - INFO - +2026-04-09 02:47:14,229 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8523 +2026-04-09 02:47:14,229 - INFO - Horizon 0.2s - Overall F1: 0.8558, Precision: 0.8552, Recall: 0.8643 +2026-04-09 02:47:14,229 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:47:14,229 - INFO - Macro F1: 0.8558 +2026-04-09 02:47:14,229 - INFO - Weighted F1: 0.8499 +2026-04-09 02:47:14,229 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9160 +2026-04-09 02:47:14,229 - INFO - Horizon 0.2s - Steady F1: 0.9059, Precision: 0.9026, Recall: 0.9165 +2026-04-09 02:47:14,229 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:47:14,229 - INFO - Macro F1: 0.9059 +2026-04-09 02:47:14,229 - INFO - Weighted F1: 0.9151 +2026-04-09 02:47:14,230 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5553 +2026-04-09 02:47:14,230 - INFO - Horizon 0.2s - Transition F1: 0.5957, Precision: 0.5918, Recall: 0.6170 +2026-04-09 02:47:14,230 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:47:14,230 - INFO - Macro F1: 0.5957 +2026-04-09 02:47:14,230 - INFO - Weighted F1: 0.5473 +2026-04-09 02:47:14,230 - INFO - +2026-04-09 02:47:14,230 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8516 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Overall F1: 0.8585, Precision: 0.8572, Recall: 0.8665 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:47:14,230 - INFO - Macro F1: 0.8585 +2026-04-09 02:47:14,230 - INFO - Weighted F1: 0.8491 +2026-04-09 02:47:14,230 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9168 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Steady F1: 0.9084, Precision: 0.9073, Recall: 0.9158 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:47:14,230 - INFO - Macro F1: 0.9084 +2026-04-09 02:47:14,230 - INFO - Weighted F1: 0.9156 +2026-04-09 02:47:14,230 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5549 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Transition F1: 0.6124, Precision: 0.6012, Recall: 0.6375 +2026-04-09 02:47:14,230 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:47:14,230 - INFO - Macro F1: 0.6124 +2026-04-09 02:47:14,230 - INFO - Weighted F1: 0.5481 +2026-04-09 02:47:14,230 - INFO - +2026-04-09 02:47:14,230 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8508 +2026-04-09 02:47:14,230 - INFO - Horizon 0.5s - Overall F1: 0.8585, Precision: 0.8640, Recall: 0.8588 +2026-04-09 02:47:14,230 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:47:14,230 - INFO - Macro F1: 0.8585 +2026-04-09 02:47:14,230 - INFO - Weighted F1: 0.8483 +2026-04-09 02:47:14,231 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9144 +2026-04-09 02:47:14,231 - INFO - Horizon 0.5s - Steady F1: 0.9078, Precision: 0.9077, Recall: 0.9115 +2026-04-09 02:47:14,231 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:47:14,231 - INFO - Macro F1: 0.9078 +2026-04-09 02:47:14,231 - INFO - Weighted F1: 0.9136 +2026-04-09 02:47:14,231 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5561 +2026-04-09 02:47:14,231 - INFO - Horizon 0.5s - Transition F1: 0.5988, Precision: 0.6201, Recall: 0.6024 +2026-04-09 02:47:14,231 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:47:14,231 - INFO - Macro F1: 0.5988 +2026-04-09 02:47:14,231 - INFO - Weighted F1: 0.5507 +2026-04-09 02:47:14,231 - INFO - +2026-04-09 02:47:14,231 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8168 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Overall F1: 0.8266, Precision: 0.8460, Recall: 0.8173 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:47:14,231 - INFO - Macro F1: 0.8266 +2026-04-09 02:47:14,231 - INFO - Weighted F1: 0.8099 +2026-04-09 02:47:14,231 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8878 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Steady F1: 0.8750, Precision: 0.8949, Recall: 0.8660 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:47:14,231 - INFO - Macro F1: 0.8750 +2026-04-09 02:47:14,231 - INFO - Weighted F1: 0.8842 +2026-04-09 02:47:14,231 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4815 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Transition F1: 0.5695, Precision: 0.6035, Recall: 0.5556 +2026-04-09 02:47:14,231 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:47:14,231 - INFO - Macro F1: 0.5695 +2026-04-09 02:47:14,231 - INFO - Weighted F1: 0.4783 +2026-04-09 02:47:14,421 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_46.pt +2026-04-09 02:47:14,423 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,424 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,425 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,426 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,427 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,427 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,428 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,429 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,429 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,430 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,431 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,432 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,432 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,433 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,434 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,435 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_46.csv +2026-04-09 02:47:14,435 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_46.csv +2026-04-09 02:47:14,436 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_46.csv +2026-04-09 02:47:14,445 - INFO - Removed old checkpoint: checkpoint_epoch_45.pt +2026-04-09 02:47:14,446 - INFO - Epoch 47/50, Learning Rate: 0.000004 +2026-04-09 02:47:58,217 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:47:58,298 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:47:58,356 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:47:58,412 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:47:58,468 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:47:58,521 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:48:00,501 - INFO - Epoch 47/50: +2026-04-09 02:48:00,502 - INFO - Train: loss=0.6776, accuracy_overall=0.9283 +2026-04-09 02:48:00,502 - INFO - Horizon 0.0s: accuracy=0.9271 +2026-04-09 02:48:00,502 - INFO - Horizon 0.1s: accuracy=0.9338 +2026-04-09 02:48:00,502 - INFO - Horizon 0.2s: accuracy=0.9356 +2026-04-09 02:48:00,502 - INFO - Horizon 0.3s: accuracy=0.9404 +2026-04-09 02:48:00,502 - INFO - Horizon 0.5s: accuracy=0.9337 +2026-04-09 02:48:00,502 - INFO - Horizon 1.0s: accuracy=0.8996 +2026-04-09 02:48:00,503 - INFO - Val Horizon 0.0s - Overall: loss=0.8567, accuracy=0.8495 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Overall F1: 0.8476, Precision: 0.8470, Recall: 0.8557 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:48:00,503 - INFO - Macro F1: 0.8476 +2026-04-09 02:48:00,503 - INFO - Weighted F1: 0.8479 +2026-04-09 02:48:00,503 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9150 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Steady F1: 0.8992, Precision: 0.8956, Recall: 0.9114 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:48:00,503 - INFO - Macro F1: 0.8992 +2026-04-09 02:48:00,503 - INFO - Weighted F1: 0.9151 +2026-04-09 02:48:00,503 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5475 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Transition F1: 0.5836, Precision: 0.5768, Recall: 0.6049 +2026-04-09 02:48:00,503 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:48:00,503 - INFO - Macro F1: 0.5836 +2026-04-09 02:48:00,503 - INFO - Weighted F1: 0.5419 +2026-04-09 02:48:00,503 - INFO - +2026-04-09 02:48:00,503 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8581 +2026-04-09 02:48:00,503 - INFO - Horizon 0.1s - Overall F1: 0.8580, Precision: 0.8565, Recall: 0.8667 +2026-04-09 02:48:00,503 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:48:00,503 - INFO - Macro F1: 0.8580 +2026-04-09 02:48:00,503 - INFO - Weighted F1: 0.8564 +2026-04-09 02:48:00,504 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9224 +2026-04-09 02:48:00,504 - INFO - Horizon 0.1s - Steady F1: 0.9094, Precision: 0.9043, Recall: 0.9220 +2026-04-09 02:48:00,504 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:48:00,504 - INFO - Macro F1: 0.9094 +2026-04-09 02:48:00,504 - INFO - Weighted F1: 0.9221 +2026-04-09 02:48:00,504 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5656 +2026-04-09 02:48:00,504 - INFO - Horizon 0.1s - Transition F1: 0.5999, Precision: 0.5948, Recall: 0.6222 +2026-04-09 02:48:00,504 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:48:00,504 - INFO - Macro F1: 0.5999 +2026-04-09 02:48:00,504 - INFO - Weighted F1: 0.5579 +2026-04-09 02:48:00,504 - INFO - +2026-04-09 02:48:00,504 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8530 +2026-04-09 02:48:00,504 - INFO - Horizon 0.2s - Overall F1: 0.8569, Precision: 0.8574, Recall: 0.8642 +2026-04-09 02:48:00,504 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:48:00,504 - INFO - Macro F1: 0.8569 +2026-04-09 02:48:00,504 - INFO - Weighted F1: 0.8503 +2026-04-09 02:48:00,504 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9166 +2026-04-09 02:48:00,504 - INFO - Horizon 0.2s - Steady F1: 0.9078, Precision: 0.9057, Recall: 0.9161 +2026-04-09 02:48:00,504 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:48:00,504 - INFO - Macro F1: 0.9078 +2026-04-09 02:48:00,504 - INFO - Weighted F1: 0.9157 +2026-04-09 02:48:00,504 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5560 +2026-04-09 02:48:00,505 - INFO - Horizon 0.2s - Transition F1: 0.6005, Precision: 0.5970, Recall: 0.6234 +2026-04-09 02:48:00,505 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:48:00,505 - INFO - Macro F1: 0.6005 +2026-04-09 02:48:00,505 - INFO - Weighted F1: 0.5470 +2026-04-09 02:48:00,505 - INFO - +2026-04-09 02:48:00,505 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8526 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Overall F1: 0.8594, Precision: 0.8604, Recall: 0.8648 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:48:00,505 - INFO - Macro F1: 0.8594 +2026-04-09 02:48:00,505 - INFO - Weighted F1: 0.8498 +2026-04-09 02:48:00,505 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9174 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Steady F1: 0.9097, Precision: 0.9107, Recall: 0.9144 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:48:00,505 - INFO - Macro F1: 0.9097 +2026-04-09 02:48:00,505 - INFO - Weighted F1: 0.9160 +2026-04-09 02:48:00,505 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5580 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Transition F1: 0.6070, Precision: 0.5984, Recall: 0.6310 +2026-04-09 02:48:00,505 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:48:00,505 - INFO - Macro F1: 0.6070 +2026-04-09 02:48:00,505 - INFO - Weighted F1: 0.5518 +2026-04-09 02:48:00,505 - INFO - +2026-04-09 02:48:00,505 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8517 +2026-04-09 02:48:00,505 - INFO - Horizon 0.5s - Overall F1: 0.8586, Precision: 0.8671, Recall: 0.8559 +2026-04-09 02:48:00,506 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:48:00,506 - INFO - Macro F1: 0.8586 +2026-04-09 02:48:00,506 - INFO - Weighted F1: 0.8488 +2026-04-09 02:48:00,506 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9167 +2026-04-09 02:48:00,506 - INFO - Horizon 0.5s - Steady F1: 0.9106, Precision: 0.9129, Recall: 0.9116 +2026-04-09 02:48:00,506 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:48:00,506 - INFO - Macro F1: 0.9106 +2026-04-09 02:48:00,506 - INFO - Weighted F1: 0.9158 +2026-04-09 02:48:00,506 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5503 +2026-04-09 02:48:00,506 - INFO - Horizon 0.5s - Transition F1: 0.5882, Precision: 0.6158, Recall: 0.5876 +2026-04-09 02:48:00,506 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:48:00,506 - INFO - Macro F1: 0.5882 +2026-04-09 02:48:00,506 - INFO - Weighted F1: 0.5459 +2026-04-09 02:48:00,506 - INFO - +2026-04-09 02:48:00,506 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8155 +2026-04-09 02:48:00,506 - INFO - Horizon 1.0s - Overall F1: 0.8228, Precision: 0.8500, Recall: 0.8099 +2026-04-09 02:48:00,506 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:48:00,506 - INFO - Macro F1: 0.8228 +2026-04-09 02:48:00,506 - INFO - Weighted F1: 0.8069 +2026-04-09 02:48:00,506 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8893 +2026-04-09 02:48:00,506 - INFO - Horizon 1.0s - Steady F1: 0.8741, Precision: 0.9016, Recall: 0.8618 +2026-04-09 02:48:00,506 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:48:00,506 - INFO - Macro F1: 0.8741 +2026-04-09 02:48:00,506 - INFO - Weighted F1: 0.8849 +2026-04-09 02:48:00,507 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4665 +2026-04-09 02:48:00,507 - INFO - Horizon 1.0s - Transition F1: 0.5494, Precision: 0.6019, Recall: 0.5292 +2026-04-09 02:48:00,507 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:48:00,507 - INFO - Macro F1: 0.5494 +2026-04-09 02:48:00,507 - INFO - Weighted F1: 0.4603 +2026-04-09 02:48:00,673 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_47.pt +2026-04-09 02:48:00,676 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,677 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,678 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,678 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,679 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,680 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,681 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,682 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,682 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,683 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,684 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,685 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,685 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,686 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,687 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,688 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_47.csv +2026-04-09 02:48:00,688 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_47.csv +2026-04-09 02:48:00,689 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_47.csv +2026-04-09 02:48:00,692 - INFO - Removed old checkpoint: checkpoint_epoch_46.pt +2026-04-09 02:48:00,693 - INFO - Epoch 48/50, Learning Rate: 0.000003 +2026-04-09 02:48:43,276 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:48:43,337 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:48:43,393 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:48:43,450 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:48:43,505 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:48:43,561 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:48:45,367 - INFO - Epoch 48/50: +2026-04-09 02:48:45,367 - INFO - Train: loss=0.6730, accuracy_overall=0.9308 +2026-04-09 02:48:45,368 - INFO - Horizon 0.0s: accuracy=0.9343 +2026-04-09 02:48:45,368 - INFO - Horizon 0.1s: accuracy=0.9371 +2026-04-09 02:48:45,368 - INFO - Horizon 0.2s: accuracy=0.9387 +2026-04-09 02:48:45,368 - INFO - Horizon 0.3s: accuracy=0.9369 +2026-04-09 02:48:45,368 - INFO - Horizon 0.5s: accuracy=0.9317 +2026-04-09 02:48:45,368 - INFO - Horizon 1.0s: accuracy=0.9060 +2026-04-09 02:48:45,368 - INFO - Val Horizon 0.0s - Overall: loss=0.8492, accuracy=0.8518 +2026-04-09 02:48:45,368 - INFO - Horizon 0.0s - Overall F1: 0.8498, Precision: 0.8490, Recall: 0.8561 +2026-04-09 02:48:45,368 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:48:45,368 - INFO - Macro F1: 0.8498 +2026-04-09 02:48:45,368 - INFO - Weighted F1: 0.8500 +2026-04-09 02:48:45,368 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9175 +2026-04-09 02:48:45,368 - INFO - Horizon 0.0s - Steady F1: 0.9024, Precision: 0.8991, Recall: 0.9124 +2026-04-09 02:48:45,368 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:48:45,368 - INFO - Macro F1: 0.9024 +2026-04-09 02:48:45,368 - INFO - Weighted F1: 0.9174 +2026-04-09 02:48:45,369 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5488 +2026-04-09 02:48:45,369 - INFO - Horizon 0.0s - Transition F1: 0.5818, Precision: 0.5750, Recall: 0.5996 +2026-04-09 02:48:45,369 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:48:45,369 - INFO - Macro F1: 0.5818 +2026-04-09 02:48:45,369 - INFO - Weighted F1: 0.5440 +2026-04-09 02:48:45,369 - INFO - +2026-04-09 02:48:45,369 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8551 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Overall F1: 0.8551, Precision: 0.8539, Recall: 0.8624 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:48:45,369 - INFO - Macro F1: 0.8551 +2026-04-09 02:48:45,369 - INFO - Weighted F1: 0.8533 +2026-04-09 02:48:45,369 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9195 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Steady F1: 0.9066, Precision: 0.9025, Recall: 0.9178 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:48:45,369 - INFO - Macro F1: 0.9066 +2026-04-09 02:48:45,369 - INFO - Weighted F1: 0.9191 +2026-04-09 02:48:45,369 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5624 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Transition F1: 0.5926, Precision: 0.5871, Recall: 0.6105 +2026-04-09 02:48:45,369 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:48:45,370 - INFO - Macro F1: 0.5926 +2026-04-09 02:48:45,370 - INFO - Weighted F1: 0.5566 +2026-04-09 02:48:45,370 - INFO - +2026-04-09 02:48:45,370 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8515 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Overall F1: 0.8544, Precision: 0.8556, Recall: 0.8599 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:48:45,370 - INFO - Macro F1: 0.8544 +2026-04-09 02:48:45,370 - INFO - Weighted F1: 0.8485 +2026-04-09 02:48:45,370 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9143 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Steady F1: 0.9035, Precision: 0.9030, Recall: 0.9096 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:48:45,370 - INFO - Macro F1: 0.9035 +2026-04-09 02:48:45,370 - INFO - Weighted F1: 0.9131 +2026-04-09 02:48:45,370 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5586 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Transition F1: 0.6026, Precision: 0.6012, Recall: 0.6189 +2026-04-09 02:48:45,370 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:48:45,370 - INFO - Macro F1: 0.6026 +2026-04-09 02:48:45,370 - INFO - Weighted F1: 0.5514 +2026-04-09 02:48:45,370 - INFO - +2026-04-09 02:48:45,370 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8525 +2026-04-09 02:48:45,370 - INFO - Horizon 0.3s - Overall F1: 0.8590, Precision: 0.8600, Recall: 0.8635 +2026-04-09 02:48:45,370 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:48:45,370 - INFO - Macro F1: 0.8590 +2026-04-09 02:48:45,370 - INFO - Weighted F1: 0.8498 +2026-04-09 02:48:45,371 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9167 +2026-04-09 02:48:45,371 - INFO - Horizon 0.3s - Steady F1: 0.9077, Precision: 0.9099, Recall: 0.9113 +2026-04-09 02:48:45,371 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.9077 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.9152 +2026-04-09 02:48:45,371 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5605 +2026-04-09 02:48:45,371 - INFO - Horizon 0.3s - Transition F1: 0.6102, Precision: 0.6030, Recall: 0.6285 +2026-04-09 02:48:45,371 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.6102 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.5561 +2026-04-09 02:48:45,371 - INFO - +2026-04-09 02:48:45,371 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8519 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Overall F1: 0.8587, Precision: 0.8663, Recall: 0.8567 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.8587 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.8493 +2026-04-09 02:48:45,371 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9160 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Steady F1: 0.9092, Precision: 0.9116, Recall: 0.9104 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.9092 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.9151 +2026-04-09 02:48:45,371 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5548 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Transition F1: 0.5934, Precision: 0.6192, Recall: 0.5920 +2026-04-09 02:48:45,371 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.5934 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.5514 +2026-04-09 02:48:45,371 - INFO - +2026-04-09 02:48:45,371 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8206 +2026-04-09 02:48:45,371 - INFO - Horizon 1.0s - Overall F1: 0.8300, Precision: 0.8506, Recall: 0.8189 +2026-04-09 02:48:45,371 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:48:45,371 - INFO - Macro F1: 0.8300 +2026-04-09 02:48:45,371 - INFO - Weighted F1: 0.8143 +2026-04-09 02:48:45,371 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8919 +2026-04-09 02:48:45,371 - INFO - Horizon 1.0s - Steady F1: 0.8793, Precision: 0.8995, Recall: 0.8694 +2026-04-09 02:48:45,371 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:48:45,372 - INFO - Macro F1: 0.8793 +2026-04-09 02:48:45,372 - INFO - Weighted F1: 0.8885 +2026-04-09 02:48:45,372 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4834 +2026-04-09 02:48:45,372 - INFO - Horizon 1.0s - Transition F1: 0.5596, Precision: 0.6050, Recall: 0.5405 +2026-04-09 02:48:45,372 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:48:45,372 - INFO - Macro F1: 0.5596 +2026-04-09 02:48:45,372 - INFO - Weighted F1: 0.4810 +2026-04-09 02:48:45,481 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_48.pt +2026-04-09 02:48:45,483 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,484 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,484 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,485 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,486 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,487 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,487 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,488 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,489 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,489 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,490 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,491 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,492 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,492 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,493 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,494 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_48.csv +2026-04-09 02:48:45,494 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_48.csv +2026-04-09 02:48:45,495 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_48.csv +2026-04-09 02:48:45,497 - INFO - Removed old checkpoint: checkpoint_epoch_47.pt +2026-04-09 02:48:45,498 - INFO - Epoch 49/50, Learning Rate: 0.000002 +2026-04-09 02:49:17,208 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:49:17,273 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:49:17,330 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:49:17,388 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:49:17,447 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:49:17,505 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:49:19,372 - INFO - Epoch 49/50: +2026-04-09 02:49:19,373 - INFO - Train: loss=0.6783, accuracy_overall=0.9283 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s: accuracy=0.9323 +2026-04-09 02:49:19,373 - INFO - Horizon 0.1s: accuracy=0.9377 +2026-04-09 02:49:19,373 - INFO - Horizon 0.2s: accuracy=0.9356 +2026-04-09 02:49:19,373 - INFO - Horizon 0.3s: accuracy=0.9322 +2026-04-09 02:49:19,373 - INFO - Horizon 0.5s: accuracy=0.9296 +2026-04-09 02:49:19,373 - INFO - Horizon 1.0s: accuracy=0.9027 +2026-04-09 02:49:19,373 - INFO - Val Horizon 0.0s - Overall: loss=0.8512, accuracy=0.8514 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Overall F1: 0.8501, Precision: 0.8506, Recall: 0.8560 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:49:19,373 - INFO - Macro F1: 0.8501 +2026-04-09 02:49:19,373 - INFO - Weighted F1: 0.8500 +2026-04-09 02:49:19,373 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9169 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Steady F1: 0.9019, Precision: 0.8985, Recall: 0.9125 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:49:19,373 - INFO - Macro F1: 0.9019 +2026-04-09 02:49:19,373 - INFO - Weighted F1: 0.9170 +2026-04-09 02:49:19,373 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5488 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Transition F1: 0.5838, Precision: 0.5814, Recall: 0.5992 +2026-04-09 02:49:19,373 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:49:19,374 - INFO - Macro F1: 0.5838 +2026-04-09 02:49:19,374 - INFO - Weighted F1: 0.5432 +2026-04-09 02:49:19,374 - INFO - +2026-04-09 02:49:19,374 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8528 +2026-04-09 02:49:19,374 - INFO - Horizon 0.1s - Overall F1: 0.8536, Precision: 0.8525, Recall: 0.8616 +2026-04-09 02:49:19,374 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:49:19,374 - INFO - Macro F1: 0.8536 +2026-04-09 02:49:19,374 - INFO - Weighted F1: 0.8515 +2026-04-09 02:49:19,374 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9172 +2026-04-09 02:49:19,374 - INFO - Horizon 0.1s - Steady F1: 0.9048, Precision: 0.8997, Recall: 0.9170 +2026-04-09 02:49:19,374 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:49:19,374 - INFO - Macro F1: 0.9048 +2026-04-09 02:49:19,374 - INFO - Weighted F1: 0.9172 +2026-04-09 02:49:19,374 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5599 +2026-04-09 02:49:19,375 - INFO - Horizon 0.1s - Transition F1: 0.5887, Precision: 0.5853, Recall: 0.6101 +2026-04-09 02:49:19,375 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:49:19,375 - INFO - Macro F1: 0.5887 +2026-04-09 02:49:19,375 - INFO - Weighted F1: 0.5519 +2026-04-09 02:49:19,375 - INFO - +2026-04-09 02:49:19,375 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8512 +2026-04-09 02:49:19,375 - INFO - Horizon 0.2s - Overall F1: 0.8553, Precision: 0.8569, Recall: 0.8610 +2026-04-09 02:49:19,375 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:49:19,375 - INFO - Macro F1: 0.8553 +2026-04-09 02:49:19,375 - INFO - Weighted F1: 0.8490 +2026-04-09 02:49:19,375 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9150 +2026-04-09 02:49:19,375 - INFO - Horizon 0.2s - Steady F1: 0.9061, Precision: 0.9048, Recall: 0.9135 +2026-04-09 02:49:19,375 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:49:19,375 - INFO - Macro F1: 0.9061 +2026-04-09 02:49:19,375 - INFO - Weighted F1: 0.9142 +2026-04-09 02:49:19,375 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5541 +2026-04-09 02:49:19,375 - INFO - Horizon 0.2s - Transition F1: 0.5951, Precision: 0.5968, Recall: 0.6109 +2026-04-09 02:49:19,376 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.5951 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.5451 +2026-04-09 02:49:19,376 - INFO - +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8525 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Overall F1: 0.8600, Precision: 0.8594, Recall: 0.8660 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.8600 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.8504 +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9174 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Steady F1: 0.9095, Precision: 0.9098, Recall: 0.9145 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.9095 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.9162 +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5574 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Transition F1: 0.6051, Precision: 0.5975, Recall: 0.6267 +2026-04-09 02:49:19,376 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.6051 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.5510 +2026-04-09 02:49:19,376 - INFO - +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8543 +2026-04-09 02:49:19,376 - INFO - Horizon 0.5s - Overall F1: 0.8622, Precision: 0.8676, Recall: 0.8613 +2026-04-09 02:49:19,376 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.8622 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.8523 +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9179 +2026-04-09 02:49:19,376 - INFO - Horizon 0.5s - Steady F1: 0.9126, Precision: 0.9125, Recall: 0.9154 +2026-04-09 02:49:19,376 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:49:19,376 - INFO - Macro F1: 0.9126 +2026-04-09 02:49:19,376 - INFO - Weighted F1: 0.9174 +2026-04-09 02:49:19,376 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5593 +2026-04-09 02:49:19,377 - INFO - Horizon 0.5s - Transition F1: 0.5974, Precision: 0.6199, Recall: 0.5978 +2026-04-09 02:49:19,377 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:49:19,377 - INFO - Macro F1: 0.5974 +2026-04-09 02:49:19,377 - INFO - Weighted F1: 0.5558 +2026-04-09 02:49:19,377 - INFO - +2026-04-09 02:49:19,377 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8201 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Overall F1: 0.8297, Precision: 0.8495, Recall: 0.8198 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:49:19,377 - INFO - Macro F1: 0.8297 +2026-04-09 02:49:19,377 - INFO - Weighted F1: 0.8136 +2026-04-09 02:49:19,377 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8907 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Steady F1: 0.8789, Precision: 0.8994, Recall: 0.8694 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:49:19,377 - INFO - Macro F1: 0.8789 +2026-04-09 02:49:19,377 - INFO - Weighted F1: 0.8872 +2026-04-09 02:49:19,377 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4867 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Transition F1: 0.5656, Precision: 0.6035, Recall: 0.5524 +2026-04-09 02:49:19,377 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:49:19,377 - INFO - Macro F1: 0.5656 +2026-04-09 02:49:19,377 - INFO - Weighted F1: 0.4831 +2026-04-09 02:49:19,587 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_49.pt +2026-04-09 02:49:19,589 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,590 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,591 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,592 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,592 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,593 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,594 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,595 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,595 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,596 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,597 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,598 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,598 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,599 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,600 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,601 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_49.csv +2026-04-09 02:49:19,602 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_49.csv +2026-04-09 02:49:19,602 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_49.csv +2026-04-09 02:49:19,607 - INFO - Removed old checkpoint: checkpoint_epoch_48.pt +2026-04-09 02:49:19,608 - INFO - Epoch 50/50, Learning Rate: 0.000001 +2026-04-09 02:50:01,327 - INFO - Evaluation samples - Total: 8800, Steady-state: 7233, Transition: 1567 +2026-04-09 02:50:01,432 - INFO - Horizon 1 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:50:01,497 - INFO - Horizon 2 - Steady-state: 7246, Transition: 1554 +2026-04-09 02:50:01,558 - INFO - Horizon 3 - Steady-state: 7214, Transition: 1586 +2026-04-09 02:50:01,625 - INFO - Horizon 4 - Steady-state: 7239, Transition: 1561 +2026-04-09 02:50:01,691 - INFO - Horizon 5 - Steady-state: 7263, Transition: 1537 +2026-04-09 02:50:03,702 - INFO - Epoch 50/50: +2026-04-09 02:50:03,703 - INFO - Train: loss=0.6756, accuracy_overall=0.9294 +2026-04-09 02:50:03,703 - INFO - Horizon 0.0s: accuracy=0.9312 +2026-04-09 02:50:03,703 - INFO - Horizon 0.1s: accuracy=0.9346 +2026-04-09 02:50:03,703 - INFO - Horizon 0.2s: accuracy=0.9392 +2026-04-09 02:50:03,703 - INFO - Horizon 0.3s: accuracy=0.9409 +2026-04-09 02:50:03,703 - INFO - Horizon 0.5s: accuracy=0.9337 +2026-04-09 02:50:03,703 - INFO - Horizon 1.0s: accuracy=0.8967 +2026-04-09 02:50:03,703 - INFO - Val Horizon 0.0s - Overall: loss=0.8508, accuracy=0.8516 +2026-04-09 02:50:03,703 - INFO - Horizon 0.0s - Overall F1: 0.8499, Precision: 0.8495, Recall: 0.8561 +2026-04-09 02:50:03,704 - INFO - Horizon 0.0s - Overall Classification Report: +2026-04-09 02:50:03,704 - INFO - Macro F1: 0.8499 +2026-04-09 02:50:03,704 - INFO - Weighted F1: 0.8497 +2026-04-09 02:50:03,704 - INFO - Val Horizon 0.0s - Steady-State: accuracy=0.9168 +2026-04-09 02:50:03,704 - INFO - Horizon 0.0s - Steady F1: 0.9025, Precision: 0.8989, Recall: 0.9127 +2026-04-09 02:50:03,704 - INFO - Horizon 0.0s - Steady Classification Report: +2026-04-09 02:50:03,704 - INFO - Macro F1: 0.9025 +2026-04-09 02:50:03,704 - INFO - Weighted F1: 0.9167 +2026-04-09 02:50:03,704 - INFO - Val Horizon 0.0s - Transition: accuracy=0.5507 +2026-04-09 02:50:03,704 - INFO - Horizon 0.0s - Transition F1: 0.5830, Precision: 0.5778, Recall: 0.6007 +2026-04-09 02:50:03,704 - INFO - Horizon 0.0s - Transition Classification Report: +2026-04-09 02:50:03,704 - INFO - Macro F1: 0.5830 +2026-04-09 02:50:03,704 - INFO - Weighted F1: 0.5452 +2026-04-09 02:50:03,704 - INFO - +2026-04-09 02:50:03,705 - INFO - Val Horizon 0.1s - Overall: accuracy=0.8552 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Overall F1: 0.8556, Precision: 0.8550, Recall: 0.8626 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Overall Classification Report: +2026-04-09 02:50:03,705 - INFO - Macro F1: 0.8556 +2026-04-09 02:50:03,705 - INFO - Weighted F1: 0.8536 +2026-04-09 02:50:03,705 - INFO - Val Horizon 0.1s - Steady-State: accuracy=0.9196 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Steady F1: 0.9071, Precision: 0.9032, Recall: 0.9180 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Steady Classification Report: +2026-04-09 02:50:03,705 - INFO - Macro F1: 0.9071 +2026-04-09 02:50:03,705 - INFO - Weighted F1: 0.9194 +2026-04-09 02:50:03,705 - INFO - Val Horizon 0.1s - Transition: accuracy=0.5624 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Transition F1: 0.5919, Precision: 0.5874, Recall: 0.6109 +2026-04-09 02:50:03,705 - INFO - Horizon 0.1s - Transition Classification Report: +2026-04-09 02:50:03,705 - INFO - Macro F1: 0.5919 +2026-04-09 02:50:03,706 - INFO - Weighted F1: 0.5559 +2026-04-09 02:50:03,706 - INFO - +2026-04-09 02:50:03,706 - INFO - Val Horizon 0.2s - Overall: accuracy=0.8499 +2026-04-09 02:50:03,706 - INFO - Horizon 0.2s - Overall F1: 0.8528, Precision: 0.8538, Recall: 0.8584 +2026-04-09 02:50:03,706 - INFO - Horizon 0.2s - Overall Classification Report: +2026-04-09 02:50:03,706 - INFO - Macro F1: 0.8528 +2026-04-09 02:50:03,706 - INFO - Weighted F1: 0.8474 +2026-04-09 02:50:03,706 - INFO - Val Horizon 0.2s - Steady-State: accuracy=0.9135 +2026-04-09 02:50:03,706 - INFO - Horizon 0.2s - Steady F1: 0.9032, Precision: 0.9017, Recall: 0.9099 +2026-04-09 02:50:03,706 - INFO - Horizon 0.2s - Steady Classification Report: +2026-04-09 02:50:03,706 - INFO - Macro F1: 0.9032 +2026-04-09 02:50:03,706 - INFO - Weighted F1: 0.9126 +2026-04-09 02:50:03,706 - INFO - Val Horizon 0.2s - Transition: accuracy=0.5534 +2026-04-09 02:50:03,706 - INFO - Horizon 0.2s - Transition F1: 0.5915, Precision: 0.5926, Recall: 0.6074 +2026-04-09 02:50:03,707 - INFO - Horizon 0.2s - Transition Classification Report: +2026-04-09 02:50:03,707 - INFO - Macro F1: 0.5915 +2026-04-09 02:50:03,707 - INFO - Weighted F1: 0.5458 +2026-04-09 02:50:03,707 - INFO - +2026-04-09 02:50:03,707 - INFO - Val Horizon 0.3s - Overall: accuracy=0.8518 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Overall F1: 0.8582, Precision: 0.8579, Recall: 0.8639 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Overall Classification Report: +2026-04-09 02:50:03,707 - INFO - Macro F1: 0.8582 +2026-04-09 02:50:03,707 - INFO - Weighted F1: 0.8494 +2026-04-09 02:50:03,707 - INFO - Val Horizon 0.3s - Steady-State: accuracy=0.9164 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Steady F1: 0.9081, Precision: 0.9086, Recall: 0.9126 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Steady Classification Report: +2026-04-09 02:50:03,707 - INFO - Macro F1: 0.9081 +2026-04-09 02:50:03,707 - INFO - Weighted F1: 0.9151 +2026-04-09 02:50:03,707 - INFO - Val Horizon 0.3s - Transition: accuracy=0.5580 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Transition F1: 0.6056, Precision: 0.5959, Recall: 0.6288 +2026-04-09 02:50:03,707 - INFO - Horizon 0.3s - Transition Classification Report: +2026-04-09 02:50:03,708 - INFO - Macro F1: 0.6056 +2026-04-09 02:50:03,708 - INFO - Weighted F1: 0.5530 +2026-04-09 02:50:03,708 - INFO - +2026-04-09 02:50:03,708 - INFO - Val Horizon 0.5s - Overall: accuracy=0.8532 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Overall F1: 0.8601, Precision: 0.8664, Recall: 0.8592 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Overall Classification Report: +2026-04-09 02:50:03,708 - INFO - Macro F1: 0.8601 +2026-04-09 02:50:03,708 - INFO - Weighted F1: 0.8508 +2026-04-09 02:50:03,708 - INFO - Val Horizon 0.5s - Steady-State: accuracy=0.9164 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Steady F1: 0.9098, Precision: 0.9108, Recall: 0.9121 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Steady Classification Report: +2026-04-09 02:50:03,708 - INFO - Macro F1: 0.9098 +2026-04-09 02:50:03,708 - INFO - Weighted F1: 0.9157 +2026-04-09 02:50:03,708 - INFO - Val Horizon 0.5s - Transition: accuracy=0.5599 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Transition F1: 0.6003, Precision: 0.6236, Recall: 0.6006 +2026-04-09 02:50:03,708 - INFO - Horizon 0.5s - Transition Classification Report: +2026-04-09 02:50:03,708 - INFO - Macro F1: 0.6003 +2026-04-09 02:50:03,708 - INFO - Weighted F1: 0.5564 +2026-04-09 02:50:03,708 - INFO - +2026-04-09 02:50:03,709 - INFO - Val Horizon 1.0s - Overall: accuracy=0.8191 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Overall F1: 0.8276, Precision: 0.8500, Recall: 0.8175 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Overall Classification Report: +2026-04-09 02:50:03,709 - INFO - Macro F1: 0.8276 +2026-04-09 02:50:03,709 - INFO - Weighted F1: 0.8115 +2026-04-09 02:50:03,709 - INFO - Val Horizon 1.0s - Steady-State: accuracy=0.8903 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Steady F1: 0.8754, Precision: 0.8992, Recall: 0.8656 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Steady Classification Report: +2026-04-09 02:50:03,709 - INFO - Macro F1: 0.8754 +2026-04-09 02:50:03,709 - INFO - Weighted F1: 0.8861 +2026-04-09 02:50:03,709 - INFO - Val Horizon 1.0s - Transition: accuracy=0.4828 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Transition F1: 0.5675, Precision: 0.6082, Recall: 0.5532 +2026-04-09 02:50:03,709 - INFO - Horizon 1.0s - Transition Classification Report: +2026-04-09 02:50:03,709 - INFO - Macro F1: 0.5675 +2026-04-09 02:50:03,709 - INFO - Weighted F1: 0.4787 +2026-04-09 02:50:03,962 - INFO - Saved checkpoint: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/checkpoint_epoch_50.pt +2026-04-09 02:50:03,964 - INFO - Saved overall horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,965 - INFO - Saved steady horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,966 - INFO - Saved transition horizon 0.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,967 - INFO - Saved overall horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,968 - INFO - Saved steady horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,968 - INFO - Saved transition horizon 0.1s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,969 - INFO - Saved overall horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,970 - INFO - Saved steady horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,971 - INFO - Saved transition horizon 0.2s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,972 - INFO - Saved overall horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,972 - INFO - Saved steady horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,973 - INFO - Saved transition horizon 0.3s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,974 - INFO - Saved overall horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,975 - INFO - Saved steady horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,975 - INFO - Saved transition horizon 0.5s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,976 - INFO - Saved overall horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_50.csv +2026-04-09 02:50:03,977 - INFO - Saved steady horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_50.csv +2026-04-09 02:50:03,978 - INFO - Saved transition horizon 1.0s metrics report: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_50.csv +2026-04-09 02:50:03,981 - INFO - Removed old checkpoint: checkpoint_epoch_49.pt +2026-04-09 02:51:00,134 - INFO - Evaluation samples - Total: 28992, Steady-state: 26117, Transition: 2875 +2026-04-09 02:51:00,250 - INFO - Horizon 1 - Steady-state: 26126, Transition: 2866 +2026-04-09 02:51:00,349 - INFO - Horizon 2 - Steady-state: 26137, Transition: 2855 +2026-04-09 02:51:00,475 - INFO - Horizon 3 - Steady-state: 26145, Transition: 2847 +2026-04-09 02:51:00,572 - INFO - Horizon 4 - Steady-state: 26115, Transition: 2877 +2026-04-09 02:51:00,668 - INFO - Horizon 5 - Steady-state: 26119, Transition: 2873 +2026-04-09 02:51:02,719 - INFO - Saved overall horizon 0.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics.csv +2026-04-09 02:51:02,721 - INFO - Saved steady horizon 0.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_steady.csv +2026-04-09 02:51:02,723 - INFO - Saved transition horizon 0.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_transition.csv +2026-04-09 02:51:02,725 - INFO - Saved overall horizon 0.1s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics.csv +2026-04-09 02:51:02,726 - INFO - Saved steady horizon 0.1s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_steady.csv +2026-04-09 02:51:02,728 - INFO - Saved transition horizon 0.1s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_transition.csv +2026-04-09 02:51:02,730 - INFO - Saved overall horizon 0.2s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics.csv +2026-04-09 02:51:02,732 - INFO - Saved steady horizon 0.2s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_steady.csv +2026-04-09 02:51:02,734 - INFO - Saved transition horizon 0.2s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_transition.csv +2026-04-09 02:51:02,735 - INFO - Saved overall horizon 0.3s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics.csv +2026-04-09 02:51:02,737 - INFO - Saved steady horizon 0.3s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_steady.csv +2026-04-09 02:51:02,738 - INFO - Saved transition horizon 0.3s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_transition.csv +2026-04-09 02:51:02,740 - INFO - Saved overall horizon 0.5s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics.csv +2026-04-09 02:51:02,742 - INFO - Saved steady horizon 0.5s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_steady.csv +2026-04-09 02:51:02,743 - INFO - Saved transition horizon 0.5s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_transition.csv +2026-04-09 02:51:02,745 - INFO - Saved overall horizon 1.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics.csv +2026-04-09 02:51:02,747 - INFO - Saved steady horizon 1.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_steady.csv +2026-04-09 02:51:02,749 - INFO - Saved transition horizon 1.0s metrics: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_transition.csv +2026-04-09 02:51:02,771 - INFO - Cleaned up old per-subject results: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results +2026-04-09 02:51:02,894 - INFO - Saved per-subject summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results.csv +2026-04-09 02:51:02,896 - INFO - Saved horizon 0.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_0.0s.csv +2026-04-09 02:51:02,897 - INFO - Saved horizon 0.1s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_0.1s.csv +2026-04-09 02:51:02,899 - INFO - Saved horizon 0.2s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_0.2s.csv +2026-04-09 02:51:02,900 - INFO - Saved horizon 0.3s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_0.3s.csv +2026-04-09 02:51:02,901 - INFO - Saved horizon 0.5s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_0.5s.csv +2026-04-09 02:51:02,902 - INFO - Saved horizon 1.0s summary: train/outputs/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results_horizon_1.0s.csv +2026-04-09 02:51:02,902 - INFO - +Test set evaluation: +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.0s - Overall: loss=0.9052, accuracy=0.8487 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.0s - Steady-State: accuracy=0.8890 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.0s - Transition: accuracy=0.4821 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.1s - Overall: accuracy=0.8504 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.1s - Steady-State: accuracy=0.8900 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.1s - Transition: accuracy=0.4888 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.2s - Overall: accuracy=0.8495 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.2s - Steady-State: accuracy=0.8890 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.2s - Transition: accuracy=0.4876 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.3s - Overall: accuracy=0.8493 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.3s - Steady-State: accuracy=0.8895 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.3s - Transition: accuracy=0.4802 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.5s - Overall: accuracy=0.8343 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.5s - Steady-State: accuracy=0.8749 +2026-04-09 02:51:02,903 - INFO - Test Horizon 0.5s - Transition: accuracy=0.4654 +2026-04-09 02:51:02,903 - INFO - Test Horizon 1.0s - Overall: accuracy=0.7992 +2026-04-09 02:51:02,903 - INFO - Test Horizon 1.0s - Steady-State: accuracy=0.8436 +2026-04-09 02:51:02,903 - INFO - Test Horizon 1.0s - Transition: accuracy=0.3951 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..03958d7057393f8c1ff1d3d710276e86c5f4760d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1554,9,28,41,82,39,25,11,16,26,145 +Sit to stand,30,104,77,18,0,0,0,0,0,0,0 +Stand to sit,15,36,204,14,0,0,0,0,0,0,0 +Sitting,0,27,1,687,0,0,0,0,0,0,0 +Stair up,3,0,0,0,134,0,0,0,0,0,0 +Stair down,12,0,0,10,0,82,0,0,0,0,0 +Ramp up,20,0,0,4,1,1,162,0,0,0,0 +Ramp down,36,0,2,0,0,0,0,210,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,182,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,169,0 +Carry,42,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8fda7537709255d8c5b63fa1268ffe1dd170024d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1501,8,10,41,73,27,19,5,10,17,136 +Sit to stand,16,84,65,8,0,0,0,0,0,0,0 +Stand to sit,7,24,178,4,0,0,0,0,0,0,0 +Sitting,0,13,0,656,0,0,0,0,0,0,0 +Stair up,2,0,0,0,123,0,0,0,0,0,0 +Stair down,11,0,0,10,0,73,0,0,0,0,0 +Ramp up,16,0,0,4,1,0,156,0,0,0,0 +Ramp down,30,0,2,0,0,0,0,204,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,160,0 +Carry,29,0,0,0,0,0,0,0,0,0,654 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..c18ad526d47d29f0f4d95a0b7567491e50f94bb7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,53,1,18,0,9,12,6,6,6,9,9 +Sit to stand,14,20,12,10,0,0,0,0,0,0,0 +Stand to sit,8,12,26,10,0,0,0,0,0,0,0 +Sitting,0,14,1,31,0,0,0,0,0,0,0 +Stair up,1,0,0,0,11,0,0,0,0,0,0 +Stair down,1,0,0,0,0,9,0,0,0,0,0 +Ramp up,4,0,0,0,0,1,6,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,13,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..63f03aa6269717d3d31f2bc03cb8b0ee493f9316 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9040139616055847,0.7864372469635628,0.8411366711772665,1976.0,1719,1976 +Sit to stand,0.5909090909090909,0.45414847161572053,0.5135802469135803,229.0,176,229 +Stand to sit,0.6538461538461539,0.758364312267658,0.7022375215146299,269.0,312,269 +Sitting,0.8875968992248062,0.9608391608391609,0.9227669576897246,715.0,774,715 +Stair up,0.6175115207373272,0.9781021897810219,0.7570621468926554,137.0,217,137 +Stair down,0.6721311475409836,0.7884615384615384,0.7256637168141593,104.0,122,104 +Ramp up,0.8663101604278075,0.8617021276595744,0.864,188.0,187,188 +Ramp down,0.9502262443438914,0.8467741935483871,0.8955223880597015,248.0,221,248 +Grass walking,0.9191919191919192,0.978494623655914,0.9479166666666666,186.0,198,186 +Uneven ground walking,0.8666666666666667,0.9825581395348837,0.9209809264305178,172.0,195,172 +Carry,0.8203221809169765,0.9403409090909091,0.8762409000661814,704.0,807,704 +accuracy,0.8421266233766234,0.8421266233766234,0.8421266233766234,0.8421266233766234,0,0 +macro avg,0.7953387223101097,0.8487475375834846,0.8151916492931893,4928.0,0,0 +weighted avg,0.8487687669898686,0.8421266233766234,0.8408439757973802,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..28e9a5f99b1fc67c6c6be3ac84d5097b10f52c48 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9294117647058824,0.8126691932864104,0.8671288272674754,1847.0,1615,1847 +Sit to stand,0.6511627906976745,0.48554913294797686,0.5562913907284768,173.0,129,173 +Stand to sit,0.6980392156862745,0.8356807511737089,0.7606837606837606,213.0,255,213 +Sitting,0.9073305670816044,0.9805680119581465,0.9425287356321839,669.0,723,669 +Stair up,0.6243654822335025,0.984,0.7639751552795031,125.0,197,125 +Stair down,0.73,0.776595744680851,0.7525773195876289,94.0,100,94 +Ramp up,0.8914285714285715,0.8813559322033898,0.8863636363636364,177.0,175,177 +Ramp down,0.9760765550239234,0.864406779661017,0.9168539325842696,236.0,209,236 +Grass walking,0.9459459459459459,0.9943181818181818,0.9695290858725761,176.0,185,176 +Uneven ground walking,0.903954802259887,0.9876543209876543,0.943952802359882,162.0,177,162 +Carry,0.8278481012658228,0.9575402635431918,0.8879837067209776,683.0,790,683 +accuracy,0.8702524698133919,0.8702524698133919,0.8702524698133919,0.8702524698133919,0,0 +macro avg,0.8259603451208264,0.8691216647509571,0.8407153048254883,4555.0,0,0 +weighted avg,0.8777412121945266,0.8702524698133919,0.869364680282405,4555.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..19b4bdd4e7d8fa04a9fd47f1e60150bac87e0a1b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5096153846153846,0.4108527131782946,0.45493562231759654,129.0,104,129 +Sit to stand,0.425531914893617,0.35714285714285715,0.3883495145631068,56.0,47,56 +Stand to sit,0.45614035087719296,0.4642857142857143,0.46017699115044247,56.0,57,56 +Sitting,0.6078431372549019,0.6739130434782609,0.6391752577319587,46.0,51,46 +Stair up,0.55,0.9166666666666666,0.6875,12.0,20,12 +Stair down,0.4090909090909091,0.9,0.5625,10.0,22,10 +Ramp up,0.5,0.5454545454545454,0.5217391304347826,11.0,12,11 +Ramp down,0.5,0.5,0.5,12.0,12,12 +Grass walking,0.5384615384615384,0.7,0.6086956521739131,10.0,13,10 +Uneven ground walking,0.5,0.9,0.6428571428571429,10.0,18,10 +Carry,0.47058823529411764,0.38095238095238093,0.42105263157894735,21.0,17,21 +accuracy,0.49865951742627346,0.49865951742627346,0.49865951742627346,0.49865951742627346,0,0 +macro avg,0.49702467913524195,0.6135698110144291,0.5351801766188992,373.0,0,0 +weighted avg,0.49740668425999035,0.49865951742627346,0.4894852683722517,373.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..80f6724f2278bee5de7d54bc607799e9af60599d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1562,3,29,40,83,41,17,12,14,25,146 +Sit to stand,27,120,63,20,0,0,0,0,0,0,0 +Stand to sit,15,31,217,10,0,0,0,0,0,0,0 +Sitting,0,41,2,670,0,0,0,0,0,0,0 +Stair up,3,0,0,0,133,0,0,0,0,0,0 +Stair down,13,0,0,10,0,78,0,0,0,0,0 +Ramp up,19,0,0,4,1,1,163,0,0,0,0 +Ramp down,37,0,1,0,0,0,0,212,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,184,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,170,0 +Carry,45,0,0,0,0,0,0,0,0,0,660 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e9d39e88588afd46a0e3caa927382c12587f3f64 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1503,3,13,40,72,30,11,7,9,17,138 +Sit to stand,11,102,53,10,0,0,0,0,0,0,0 +Stand to sit,6,22,189,1,0,0,0,0,0,0,0 +Sitting,0,23,0,641,0,0,0,0,0,0,0 +Stair up,2,0,0,0,122,0,0,0,0,0,0 +Stair down,12,0,0,9,0,70,0,0,0,0,0 +Ramp up,16,0,0,4,1,0,157,0,0,0,0 +Ramp down,31,0,1,0,0,0,0,206,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,179,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,161,0 +Carry,33,0,0,0,0,0,0,0,0,0,652 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a53107838659b17e2349cdbe5eb2f182b67a830 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,59,0,16,0,11,11,6,5,5,8,8 +Sit to stand,16,18,10,10,0,0,0,0,0,0,0 +Stand to sit,9,9,28,9,0,0,0,0,0,0,0 +Sitting,0,18,2,29,0,0,0,0,0,0,0 +Stair up,1,0,0,0,11,0,0,0,0,0,0 +Stair down,1,0,0,1,0,8,0,0,0,0,0 +Ramp up,3,0,0,0,0,1,6,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,12,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..8fd2cd426ceb77b42231149c534644878278f31c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9044585987261147,0.7920892494929006,0.8445525817788592,1972.0,1727,1972 +Sit to stand,0.6153846153846154,0.5217391304347826,0.5647058823529412,230.0,195,230 +Stand to sit,0.6955128205128205,0.7948717948717948,0.7418803418803419,273.0,312,273 +Sitting,0.8885941644562334,0.9396914446002805,0.9134287661895024,713.0,754,713 +Stair up,0.6129032258064516,0.9779411764705882,0.7535410764872521,136.0,217,136 +Stair down,0.65,0.7722772277227723,0.7058823529411765,101.0,120,101 +Ramp up,0.9055555555555556,0.8670212765957447,0.8858695652173914,188.0,180,188 +Ramp down,0.9464285714285714,0.848,0.8945147679324894,250.0,224,250 +Grass walking,0.9292929292929293,0.9787234042553191,0.9533678756476683,188.0,198,188 +Uneven ground walking,0.8717948717948718,0.9883720930232558,0.9264305177111717,172.0,195,172 +Carry,0.8188585607940446,0.9361702127659575,0.8735936465916612,705.0,806,705 +accuracy,0.8459821428571429,0.8459821428571429,0.8459821428571429,0.8459821428571429,0,0 +macro avg,0.8035258103411098,0.8560815463848545,0.8234333977027686,4928.0,0,0 +weighted avg,0.8535675644298922,0.8459821428571429,0.8456896697735506,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e187075e63d7a33d67cb8787ae9ffe7e4b3a961 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9306501547987616,0.8155181768855128,0.8692886061307113,1843.0,1615,1843 +Sit to stand,0.68,0.5795454545454546,0.6257668711656442,176.0,150,176 +Stand to sit,0.73828125,0.8669724770642202,0.7974683544303798,218.0,256,218 +Sitting,0.9092198581560283,0.9653614457831325,0.9364499634769905,664.0,705,664 +Stair up,0.6256410256410256,0.9838709677419355,0.7648902821316614,124.0,195,124 +Stair down,0.7,0.7692307692307693,0.7329842931937173,91.0,100,91 +Ramp up,0.9345238095238095,0.8820224719101124,0.9075144508670521,178.0,168,178 +Ramp down,0.9671361502347418,0.865546218487395,0.9135254988913526,238.0,213,238 +Grass walking,0.9521276595744681,1.0,0.9754768392370572,179.0,188,179 +Uneven ground walking,0.9044943820224719,0.9938271604938271,0.9470588235294117,162.0,178,162 +Carry,0.8253164556962025,0.9518248175182482,0.8840677966101695,685.0,790,685 +accuracy,0.8736287845546292,0.8736287845546292,0.8736287845546292,0.8736287845546292,0,0 +macro avg,0.8333991586952281,0.8794290872418735,0.8504083436058316,4558.0,0,0 +weighted avg,0.8818866554944456,0.8736287845546292,0.8736309079436583,4558.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ded469f371ad52790851c64776981c5e0ddbaf8e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5267857142857143,0.4573643410852713,0.4896265560165975,129.0,112,129 +Sit to stand,0.4,0.3333333333333333,0.36363636363636365,54.0,45,54 +Stand to sit,0.5,0.509090909090909,0.5045045045045045,55.0,56,55 +Sitting,0.5918367346938775,0.5918367346938775,0.5918367346938775,49.0,49,49 +Stair up,0.5,0.9166666666666666,0.6470588235294118,12.0,22,12 +Stair down,0.4,0.8,0.5333333333333333,10.0,20,10 +Ramp up,0.5,0.6,0.5454545454545454,10.0,12,10 +Ramp down,0.5454545454545454,0.5,0.5217391304347826,12.0,11,12 +Grass walking,0.5,0.5555555555555556,0.5263157894736842,9.0,10,9 +Uneven ground walking,0.5294117647058824,0.9,0.6666666666666666,10.0,17,10 +Carry,0.5,0.4,0.4444444444444444,20.0,16,20 +accuracy,0.5054054054054054,0.5054054054054054,0.5054054054054054,0.5054054054054054,0,0 +macro avg,0.49940806901272905,0.5967134127659649,0.5304197174716556,370.0,0,0 +weighted avg,0.5064727819874879,0.5054054054054054,0.4990588892068115,370.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..90a5b2c0a98bfd2792b3596ad9c99d1f6e5364aa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1585,1,31,44,72,33,14,17,14,25,149 +Sit to stand,21,127,59,19,0,0,0,0,0,0,0 +Stand to sit,20,27,218,6,0,0,0,0,0,0,0 +Sitting,0,60,2,653,0,0,0,0,0,0,0 +Stair up,2,0,0,0,132,0,0,0,0,0,0 +Stair down,17,0,0,10,0,74,0,0,0,0,0 +Ramp up,16,0,0,4,1,3,164,0,0,0,0 +Ramp down,36,0,1,0,0,0,0,211,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,181,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,170,0 +Carry,42,0,0,0,0,0,0,0,0,0,659 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..14fc338ff6f2802848a867129983068ecafd6049 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1524,0,16,44,62,23,9,11,9,17,142 +Sit to stand,7,106,48,12,0,0,0,0,0,0,0 +Stand to sit,8,19,190,1,0,0,0,0,0,0,0 +Sitting,0,36,0,628,0,0,0,0,0,0,0 +Stair up,2,0,0,0,122,0,0,0,0,0,0 +Stair down,13,0,0,9,0,70,0,0,0,0,0 +Ramp up,12,0,0,4,1,2,159,0,0,0,0 +Ramp down,31,0,1,0,0,0,0,205,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,161,0 +Carry,31,0,0,0,0,0,0,0,0,0,651 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2074be6bf3f2f2b036a3006e52a05c2eadcf87ca --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,61,1,15,0,10,10,5,6,5,8,7 +Sit to stand,14,21,11,7,0,0,0,0,0,0,0 +Stand to sit,12,8,28,5,0,0,0,0,0,0,0 +Sitting,0,24,2,25,0,0,0,0,0,0,0 +Stair up,0,0,0,0,10,0,0,0,0,0,0 +Stair down,4,0,0,1,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,1,5,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,6,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,11,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..edbfdcad15e3e21c744459e454f308507223cf67 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9072696050372067,0.7984886649874056,0.8494105037513398,1985.0,1747,1985 +Sit to stand,0.5906976744186047,0.5619469026548672,0.5759637188208617,226.0,215,226 +Stand to sit,0.7009646302250804,0.8044280442804428,0.7491408934707904,271.0,311,271 +Sitting,0.8872282608695652,0.9132867132867133,0.9000689179875948,715.0,736,715 +Stair up,0.6439024390243903,0.9850746268656716,0.7787610619469026,134.0,205,134 +Stair down,0.6727272727272727,0.7326732673267327,0.7014218009478673,101.0,110,101 +Ramp up,0.9213483146067416,0.8723404255319149,0.8961748633879781,188.0,178,188 +Ramp down,0.9254385964912281,0.8508064516129032,0.8865546218487395,248.0,228,248 +Grass walking,0.9282051282051282,0.9679144385026738,0.9476439790575916,187.0,195,187 +Uneven ground walking,0.8717948717948718,0.9883720930232558,0.9264305177111717,172.0,195,172 +Carry,0.8155940594059405,0.9400855920114123,0.873426110006627,701.0,808,701 +accuracy,0.8469967532467533,0.8469967532467533,0.8469967532467533,0.8469967532467533,0,0 +macro avg,0.8059246229823664,0.8559470200076358,0.8259088171761331,4928.0,0,0 +weighted avg,0.854497283025051,0.8469967532467533,0.8472372747297934,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..dae0a8d080dcd74364781f1a9d267758bd1b86db --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9338235294117647,0.8206785137318255,0.8736027515047291,1857.0,1632,1857 +Sit to stand,0.6583850931677019,0.6127167630057804,0.6347305389221557,173.0,161,173 +Stand to sit,0.7450980392156863,0.8715596330275229,0.8033826638477801,218.0,255,218 +Sitting,0.8997134670487106,0.9457831325301205,0.922173274596182,664.0,698,664 +Stair up,0.6594594594594595,0.9838709677419355,0.7896440129449838,124.0,185,124 +Stair down,0.7368421052631579,0.7608695652173914,0.7486631016042781,92.0,95,92 +Ramp up,0.9464285714285714,0.8932584269662921,0.9190751445086706,178.0,168,178 +Ramp down,0.9490740740740741,0.8649789029535865,0.9050772626931567,237.0,216,237 +Grass walking,0.9508196721311475,0.9830508474576272,0.9666666666666667,177.0,183,177 +Uneven ground walking,0.9044943820224719,0.9938271604938271,0.9470588235294117,162.0,178,162 +Carry,0.8209331651954602,0.9545454545454546,0.8827118644067796,682.0,793,682 +accuracy,0.8742331288343558,0.8742331288343558,0.8742331288343558,0.8742331288343558,0,0 +macro avg,0.8368246871289279,0.8804672152428512,0.8538896459295267,4564.0,0,0 +weighted avg,0.8820133453878627,0.8742331288343558,0.8744464808718837,4564.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d76b823333a10d20bc80c056ef0e5a6201d5d35e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5304347826086957,0.4765625,0.5020576131687243,128.0,115,128 +Sit to stand,0.3888888888888889,0.39622641509433965,0.3925233644859813,53.0,54,53 +Stand to sit,0.5,0.5283018867924528,0.5137614678899083,53.0,56,53 +Sitting,0.6578947368421053,0.49019607843137253,0.5617977528089888,51.0,38,51 +Stair up,0.5,1.0,0.6666666666666666,10.0,20,10 +Stair down,0.26666666666666666,0.4444444444444444,0.3333333333333333,9.0,15,9 +Ramp up,0.5,0.5,0.5,10.0,10,10 +Ramp down,0.5,0.5454545454545454,0.5217391304347826,11.0,12,11 +Grass walking,0.5833333333333334,0.7,0.6363636363636364,10.0,12,10 +Uneven ground walking,0.5294117647058824,0.9,0.6666666666666666,10.0,17,10 +Carry,0.5333333333333333,0.42105263157894735,0.47058823529411764,19.0,15,19 +accuracy,0.5054945054945055,0.5054945054945055,0.5054945054945055,0.5054945054945055,0,0 +macro avg,0.4990875914889914,0.5820216819814639,0.5241361697375279,364.0,0,0 +weighted avg,0.5157147779607061,0.5054945054945055,0.5036412983437303,364.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..5acea2232c1ebec541ec5ea6434e86b7c86a3209 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1604,1,30,46,60,21,13,16,13,19,146 +Sit to stand,19,135,53,26,0,0,0,0,0,0,0 +Stand to sit,24,29,213,10,0,0,0,0,0,0,0 +Sitting,0,72,2,633,0,0,0,0,0,0,0 +Stair up,4,0,0,0,133,0,0,0,0,0,0 +Stair down,15,0,0,9,0,77,0,0,0,0,0 +Ramp up,14,0,0,4,1,2,166,0,0,0,0 +Ramp down,31,0,1,0,0,0,0,216,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,184,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,171,0 +Carry,48,0,0,0,0,0,0,0,0,0,659 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..583577a3d3b4fcd1b21170a0e1e1ab15ca7c196b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1540,0,17,45,51,14,8,10,9,11,140 +Sit to stand,7,111,41,18,0,0,0,0,0,0,0 +Stand to sit,13,21,185,2,0,0,0,0,0,0,0 +Sitting,0,49,0,611,0,0,0,0,0,0,0 +Stair up,2,0,0,0,123,0,0,0,0,0,0 +Stair down,12,0,0,8,0,72,0,0,0,0,0 +Ramp up,11,0,0,4,1,2,159,0,0,0,0 +Ramp down,25,0,1,0,0,0,0,210,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,176,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,163,0 +Carry,36,0,0,0,0,0,0,0,0,0,651 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..25997bf583c3bb9a17357af7c1ca7608c6ea6e9b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,64,1,13,1,9,7,5,6,4,8,6 +Sit to stand,12,24,12,8,0,0,0,0,0,0,0 +Stand to sit,11,8,28,8,0,0,0,0,0,0,0 +Sitting,0,23,2,22,0,0,0,0,0,0,0 +Stair up,2,0,0,0,10,0,0,0,0,0,0 +Stair down,3,0,0,1,0,5,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,7,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,8,0 +Carry,12,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef6b2bc1b53929ce66ace4dd7339ea1bc941cf6e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9077532541029995,0.8146267140680549,0.8586723768736617,1969.0,1767,1969 +Sit to stand,0.569620253164557,0.5793991416309013,0.574468085106383,233.0,237,233 +Stand to sit,0.7123745819397993,0.7717391304347826,0.7408695652173913,276.0,299,276 +Sitting,0.8695054945054945,0.8953323903818954,0.8822299651567944,707.0,728,707 +Stair up,0.6855670103092784,0.9708029197080292,0.8036253776435045,137.0,194,137 +Stair down,0.77,0.7623762376237624,0.7661691542288557,101.0,100,101 +Ramp up,0.9273743016759777,0.8877005347593583,0.907103825136612,187.0,179,187 +Ramp down,0.9310344827586207,0.8709677419354839,0.9,248.0,232,248 +Grass walking,0.934010152284264,0.9787234042553191,0.9558441558441558,188.0,197,188 +Uneven ground walking,0.9,0.9771428571428571,0.936986301369863,175.0,190,175 +Carry,0.8186335403726708,0.9321074964639321,0.8716931216931217,707.0,805,707 +accuracy,0.8504464285714286,0.8504464285714286,0.8504464285714286,0.8504464285714286,0,0 +macro avg,0.8205339155557876,0.8582653244003978,0.8361510843882131,4928.0,0,0 +weighted avg,0.8561930790928883,0.8504464285714286,0.8508644636668359,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec4a8b67fa933dd2c2e24e1e02c4423baea287ce --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9338993329290479,0.8346883468834688,0.8815111619919863,1845.0,1649,1845 +Sit to stand,0.6132596685082873,0.6271186440677966,0.6201117318435754,177.0,181,177 +Stand to sit,0.7581967213114754,0.8371040723981901,0.7956989247311828,221.0,244,221 +Sitting,0.8880813953488372,0.9257575757575758,0.9065281899109793,660.0,688,660 +Stair up,0.7028571428571428,0.984,0.82,125.0,175,125 +Stair down,0.8181818181818182,0.782608695652174,0.8,92.0,88,92 +Ramp up,0.9520958083832335,0.8983050847457628,0.9244186046511628,177.0,167,177 +Ramp down,0.9545454545454546,0.8898305084745762,0.9210526315789473,236.0,220,236 +Grass walking,0.9513513513513514,0.9943502824858758,0.9723756906077348,177.0,185,177 +Uneven ground walking,0.9367816091954023,0.9878787878787879,0.9616519174041298,165.0,174,165 +Carry,0.8230088495575221,0.9475982532751092,0.8809201623815968,687.0,791,687 +accuracy,0.8770276194651468,0.8770276194651468,0.8770276194651468,0.8770276194651468,0,0 +macro avg,0.8483871956517794,0.8826582046926652,0.862206274100118,4562.0,0,0 +weighted avg,0.8835105692150388,0.8770276194651468,0.8775474939411794,4562.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d30e0d97d7e94776df31a50cc9716619c6424138 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5423728813559322,0.5161290322580645,0.5289256198347108,124.0,118,124 +Sit to stand,0.42857142857142855,0.42857142857142855,0.42857142857142855,56.0,56,56 +Stand to sit,0.509090909090909,0.509090909090909,0.509090909090909,55.0,55,55 +Sitting,0.55,0.46808510638297873,0.5057471264367817,47.0,40,47 +Stair up,0.5263157894736842,0.8333333333333334,0.6451612903225806,12.0,19,12 +Stair down,0.4166666666666667,0.5555555555555556,0.47619047619047616,9.0,12,9 +Ramp up,0.5833333333333334,0.7,0.6363636363636364,10.0,12,10 +Ramp down,0.5,0.5,0.5,12.0,12,12 +Grass walking,0.6666666666666666,0.7272727272727273,0.6956521739130435,11.0,12,11 +Uneven ground walking,0.5,0.8,0.6153846153846154,10.0,16,10 +Carry,0.5714285714285714,0.4,0.47058823529411764,20.0,14,20 +accuracy,0.5191256830601093,0.5191256830601093,0.5191256830601093,0.5191256830601093,0,0 +macro avg,0.5267678405988356,0.5852761902240906,0.5465159555820271,366.0,0,0 +weighted avg,0.5212165706476992,0.5191256830601093,0.5163004445574494,366.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..58f94144e7df8c14c54804d6a2e66e5de80b0a12 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1592,2,37,53,45,14,15,27,16,23,151 +Sit to stand,35,121,32,40,0,0,0,0,0,0,0 +Stand to sit,44,21,160,47,0,0,0,0,0,0,0 +Sitting,2,97,3,612,0,0,0,0,0,0,0 +Stair up,2,0,0,0,135,0,0,0,0,0,0 +Stair down,21,0,0,9,0,74,0,0,0,0,0 +Ramp up,12,0,0,5,1,2,168,0,0,0,0 +Ramp down,31,0,1,0,0,0,0,216,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,184,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,168,0 +Carry,48,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b3315a079a7a9c2d18fc62de5e87e4509f8f7011 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1526,1,24,48,36,9,10,21,10,16,144 +Sit to stand,22,101,22,28,0,0,0,0,0,0,0 +Stand to sit,27,14,138,36,0,0,0,0,0,0,0 +Sitting,0,79,0,588,0,0,0,0,0,0,0 +Stair up,0,0,0,0,125,0,0,0,0,0,0 +Stair down,17,0,0,8,0,69,0,0,0,0,0 +Ramp up,8,0,0,5,1,2,161,0,0,0,0 +Ramp down,26,0,1,0,0,0,0,209,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,176,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,161,0 +Carry,35,0,0,0,0,0,0,0,0,0,648 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..7b5034edf3891eb85509c7ef5d0cd78416326bd3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,66,1,13,5,9,5,5,6,6,7,7 +Sit to stand,13,20,10,12,0,0,0,0,0,0,0 +Stand to sit,17,7,22,11,0,0,0,0,0,0,0 +Sitting,2,18,3,24,0,0,0,0,0,0,0 +Stair up,2,0,0,0,10,0,0,0,0,0,0 +Stair down,4,0,0,1,0,5,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,7,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,7,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,7,0 +Carry,13,0,0,0,0,0,0,0,0,0,8 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..d23f0f55e7807a6e0663f5ed5436cd048c210dce --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8878973786949247,0.8060759493670886,0.8450106157112527,1975.0,1793,1975 +Sit to stand,0.5020746887966805,0.5307017543859649,0.5159914712153518,228.0,241,228 +Stand to sit,0.6866952789699571,0.5882352941176471,0.6336633663366337,272.0,233,272 +Sitting,0.7989556135770235,0.8571428571428571,0.827027027027027,714.0,766,714 +Stair up,0.7458563535911602,0.9854014598540146,0.8490566037735849,137.0,181,137 +Stair down,0.8222222222222222,0.7115384615384616,0.7628865979381443,104.0,90,104 +Ramp up,0.9180327868852459,0.8936170212765957,0.9056603773584906,188.0,183,188 +Ramp down,0.8888888888888888,0.8709677419354839,0.879837067209776,248.0,243,248 +Grass walking,0.92,0.989247311827957,0.9533678756476683,186.0,200,186 +Uneven ground walking,0.8795811518324608,0.9767441860465116,0.9256198347107438,172.0,191,172 +Carry,0.8128872366790583,0.9318181818181818,0.8682991396426207,704.0,807,704 +accuracy,0.8291396103896104,0.8291396103896104,0.8291396103896104,0.8291396103896104,0,0 +macro avg,0.8057356000125111,0.8310445653918875,0.8151290887792086,4928.0,0,0 +weighted avg,0.8321254847019386,0.8291396103896104,0.8281932000143616,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3b059c66337036fa47e85e81097557824b5b1d3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9181708784596871,0.82710027100271,0.8702594810379242,1845.0,1662,1845 +Sit to stand,0.517948717948718,0.5838150289017341,0.5489130434782609,173.0,195,173 +Stand to sit,0.745945945945946,0.641860465116279,0.69,215.0,185,215 +Sitting,0.8246844319775596,0.881559220389805,0.8521739130434782,667.0,713,667 +Stair up,0.7716049382716049,1.0,0.8710801393728222,125.0,162,125 +Stair down,0.8625,0.7340425531914894,0.7931034482758621,94.0,80,94 +Ramp up,0.9415204678362573,0.9096045197740112,0.9252873563218391,177.0,171,177 +Ramp down,0.908695652173913,0.885593220338983,0.8969957081545065,236.0,230,236 +Grass walking,0.946236559139785,1.0,0.9723756906077348,176.0,186,176 +Uneven ground walking,0.9096045197740112,0.9938271604938271,0.9498525073746312,162.0,177,162 +Carry,0.8181818181818182,0.9487554904831625,0.8786440677966102,683.0,792,683 +accuracy,0.8570173511970129,0.8570173511970129,0.8570173511970129,0.8570173511970129,0,0 +macro avg,0.8331903572463001,0.8551052663356363,0.8407895777694246,4553.0,0,0 +weighted avg,0.8621594456193383,0.8570173511970129,0.8568795114949282,4553.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..279e19551b417f830e5003dd598f1a4f08f6b1d5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5038167938931297,0.5076923076923077,0.5057471264367817,130.0,131,130 +Sit to stand,0.43478260869565216,0.36363636363636365,0.39603960396039606,55.0,46,55 +Stand to sit,0.4583333333333333,0.38596491228070173,0.41904761904761906,57.0,48,57 +Sitting,0.4528301886792453,0.5106382978723404,0.48,47.0,53,47 +Stair up,0.5263157894736842,0.8333333333333334,0.6451612903225806,12.0,19,12 +Stair down,0.5,0.5,0.5,10.0,10,10 +Ramp up,0.5833333333333334,0.6363636363636364,0.6086956521739131,11.0,12,11 +Ramp down,0.5384615384615384,0.5833333333333334,0.56,12.0,13,12 +Grass walking,0.5714285714285714,0.8,0.6666666666666666,10.0,14,10 +Uneven ground walking,0.5,0.7,0.5833333333333334,10.0,14,10 +Carry,0.5333333333333333,0.38095238095238093,0.4444444444444444,21.0,15,21 +accuracy,0.49066666666666664,0.49066666666666664,0.49066666666666664,0.49066666666666664,0,0 +macro avg,0.5093304991483474,0.563810415042218,0.5281032487623395,375.0,0,0 +weighted avg,0.4878014023159128,0.49066666666666664,0.4852425064838268,375.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..672d52fe629897c5173f55d77771729eedc811e1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1511,1,19,94,29,13,28,60,24,33,161 +Sit to stand,127,46,0,55,0,0,0,0,0,0,0 +Stand to sit,62,40,78,94,0,0,0,0,0,0,0 +Sitting,33,84,0,595,0,0,0,0,0,0,0 +Stair up,0,0,0,0,134,0,0,3,0,0,0 +Stair down,14,0,0,14,0,76,0,0,0,0,0 +Ramp up,16,0,0,5,1,4,162,0,0,0,0 +Ramp down,29,0,0,0,0,0,0,219,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,184,2,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,167,0 +Carry,48,0,0,0,0,0,0,0,0,0,657 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..59a4b7c79e440861de45bcddcee0f59e3a795d49 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1450,0,13,79,22,9,24,51,20,24,153 +Sit to stand,99,36,0,38,0,0,0,0,0,0,0 +Stand to sit,43,28,68,79,0,0,0,0,0,0,0 +Sitting,22,68,0,575,0,0,0,0,0,0,0 +Stair up,0,0,0,0,124,0,0,1,0,0,0 +Stair down,9,0,0,14,0,71,0,0,0,0,0 +Ramp up,11,0,0,5,0,4,157,0,0,0,0 +Ramp down,23,0,0,0,0,0,0,213,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,176,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,161,0 +Carry,36,0,0,0,0,0,0,0,0,0,647 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd410a59ff507f800460ec08305b4c7d9a9464a9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,61,1,6,15,7,4,4,9,4,9,8 +Sit to stand,28,10,0,17,0,0,0,0,0,0,0 +Stand to sit,19,12,10,15,0,0,0,0,0,0,0 +Sitting,11,16,0,20,0,0,0,0,0,0,0 +Stair up,0,0,0,0,10,0,0,2,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,5,0,0,0,1,0,5,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,8,2,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,12,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..fda26bf7656b6125a0adc9b71e0d987b65933055 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8185265438786565,0.7658388241256969,0.7913066247708824,1973.0,1846,1973 +Sit to stand,0.26900584795321636,0.20175438596491227,0.23057644110275688,228.0,171,228 +Stand to sit,0.8041237113402062,0.2846715328467153,0.42048517520215634,274.0,97,274 +Sitting,0.6942823803967327,0.8356741573033708,0.758444869343531,712.0,857,712 +Stair up,0.8170731707317073,0.9781021897810219,0.8903654485049833,137.0,164,137 +Stair down,0.8172043010752689,0.7307692307692307,0.7715736040609137,104.0,93,104 +Ramp up,0.8526315789473684,0.8617021276595744,0.8571428571428571,188.0,190,188 +Ramp down,0.776595744680851,0.8830645161290323,0.8264150943396227,248.0,282,248 +Grass walking,0.8846153846153846,0.983957219251337,0.9316455696202531,187.0,208,187 +Uneven ground walking,0.8267326732673267,0.9709302325581395,0.893048128342246,172.0,202,172 +Carry,0.8031784841075794,0.9319148936170213,0.8627708470124754,705.0,818,705 +accuracy,0.7769886363636364,0.7769886363636364,0.7769886363636364,0.7769886363636364,0,0 +macro avg,0.7603608928176636,0.7662163009096411,0.7485249690402433,4928.0,0,0 +weighted avg,0.7740718014207671,0.7769886363636364,0.7657138905776409,4928.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..09529f0f5152afa3ce852eca0b0126f84c42c230 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8559622195985832,0.7859078590785907,0.8194405199208816,1845.0,1694,1845 +Sit to stand,0.2727272727272727,0.20809248554913296,0.2360655737704918,173.0,132,173 +Stand to sit,0.8395061728395061,0.3119266055045872,0.45484949832775917,218.0,81,218 +Sitting,0.7278481012658228,0.8646616541353384,0.7903780068728522,665.0,790,665 +Stair up,0.8493150684931506,0.992,0.915129151291513,125.0,146,125 +Stair down,0.8452380952380952,0.7553191489361702,0.797752808988764,94.0,84,94 +Ramp up,0.8674033149171271,0.8870056497175142,0.8770949720670391,177.0,181,177 +Ramp down,0.8037735849056604,0.902542372881356,0.8502994011976048,236.0,265,236 +Grass walking,0.8979591836734694,1.0,0.946236559139785,176.0,196,176 +Uneven ground walking,0.8702702702702703,0.9938271604938271,0.9279538904899135,162.0,185,162 +Carry,0.80875,0.9472913616398243,0.8725556304787593,683.0,800,683 +accuracy,0.8076416337285902,0.8076416337285902,0.8076416337285902,0.8076416337285902,0,0 +macro avg,0.7853412076299052,0.7862340270851219,0.7716141829586696,4554.0,0,0 +weighted avg,0.8066978510681589,0.8076416337285902,0.798327559442702,4554.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..420ecb3e63dff67648421a48e01775747e62bbc4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.40131578947368424,0.4765625,0.4357142857142857,128.0,152,128 +Sit to stand,0.2564102564102564,0.18181818181818182,0.2127659574468085,55.0,39,55 +Stand to sit,0.625,0.17857142857142858,0.2777777777777778,56.0,16,56 +Sitting,0.29850746268656714,0.425531914893617,0.3508771929824561,47.0,67,47 +Stair up,0.5555555555555556,0.8333333333333334,0.6666666666666666,12.0,18,12 +Stair down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Ramp up,0.5555555555555556,0.45454545454545453,0.5,11.0,9,11 +Ramp down,0.35294117647058826,0.5,0.41379310344827586,12.0,17,12 +Grass walking,0.6666666666666666,0.7272727272727273,0.6956521739130435,11.0,12,11 +Uneven ground walking,0.35294117647058826,0.6,0.4444444444444444,10.0,17,10 +Carry,0.5555555555555556,0.45454545454545453,0.5,22.0,18,22 +accuracy,0.4037433155080214,0.4037433155080214,0.4037433155080214,0.4037433155080214,0,0 +macro avg,0.47054588640005207,0.48474372681638156,0.45672794471522205,374.0,0,0 +weighted avg,0.42822040286819835,0.4037433155080214,0.3912984848939522,374.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..03d88aa02b800bd3adbf3879d42a5d9d815485f1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1379,6,38,4,33,22,7,8,14,45,66 +Sit to stand,18,59,6,27,0,0,0,0,0,0,0 +Stand to sit,38,31,106,29,0,0,0,0,0,0,0 +Sitting,5,8,2,329,0,0,0,0,0,0,0 +Stair up,2,0,0,0,116,0,0,0,0,0,0 +Stair down,12,0,0,0,0,109,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,157,0,0,0,0 +Ramp down,26,0,0,0,1,0,0,185,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,179,0,0 +Uneven ground walking,1,0,21,0,0,0,0,0,0,313,0 +Carry,69,0,0,0,0,0,0,0,0,0,674 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7a838a868fff4e4521dd87858bfc359781c9aaff --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1327,4,29,4,23,18,3,4,8,38,55 +Sit to stand,7,45,4,11,0,0,0,0,0,0,0 +Stand to sit,26,31,95,12,0,0,0,0,0,0,0 +Sitting,5,4,2,299,0,0,0,0,0,0,0 +Stair up,1,0,0,0,107,0,0,0,0,0,0 +Stair down,8,0,0,0,0,105,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,153,0,0,0,0 +Ramp down,21,0,0,0,0,0,0,181,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,0,0,21,0,0,0,0,0,0,304,0 +Carry,62,0,0,0,0,0,0,0,0,0,662 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..faa17457fe94b1e61e4d1e8058dc60cd2e339a9d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,52,2,9,0,10,4,4,4,6,7,11 +Sit to stand,11,14,2,16,0,0,0,0,0,0,0 +Stand to sit,12,0,11,17,0,0,0,0,0,0,0 +Sitting,0,4,0,30,0,0,0,0,0,0,0 +Stair up,1,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,5,0,0,0,1,0,0,4,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,7,0,0,0,0,0,0,0,0,0,12 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..07614a2c0b39f9295249b99b93fa2211956103b4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8811501597444089,0.8501849568434032,0.8653906495136492,1622.0,1565,1622 +Sit to stand,0.5673076923076923,0.5363636363636364,0.5514018691588785,110.0,104,110 +Stand to sit,0.6127167630057804,0.5196078431372549,0.5623342175066313,204.0,173,204 +Sitting,0.8457583547557841,0.9563953488372093,0.897680763983629,344.0,389,344 +Stair up,0.7733333333333333,0.9830508474576272,0.8656716417910447,118.0,150,118 +Stair down,0.8320610687022901,0.9008264462809917,0.8650793650793651,121.0,131,121 +Ramp up,0.9573170731707317,0.9457831325301205,0.9515151515151515,166.0,164,166 +Ramp down,0.9585492227979274,0.8726415094339622,0.9135802469135802,212.0,193,212 +Grass walking,0.927461139896373,0.9675675675675676,0.9470899470899471,185.0,193,185 +Uneven ground walking,0.8743016759776536,0.9343283582089552,0.9033189033189033,335.0,358,335 +Carry,0.9108108108108108,0.9071332436069987,0.908968307484828,743.0,740,743 +accuracy,0.8668269230769231,0.8668269230769231,0.8668269230769231,0.8668269230769231,0,0 +macro avg,0.8309788449547987,0.8521711718425208,0.8392755512141462,4160.0,0,0 +weighted avg,0.8660644460913545,0.8668269230769231,0.8652590173048504,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..18a671507bfc53ba9b33da8e6467b745e1e033a2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9051841746248295,0.8770654329147389,0.8909029875797247,1513.0,1466,1513 +Sit to stand,0.5357142857142857,0.6716417910447762,0.5960264900662252,67.0,84,67 +Stand to sit,0.6291390728476821,0.5792682926829268,0.6031746031746031,164.0,151,164 +Sitting,0.9171779141104295,0.964516129032258,0.940251572327044,310.0,326,310 +Stair up,0.823076923076923,0.9907407407407407,0.8991596638655462,108.0,130,108 +Stair down,0.8536585365853658,0.9292035398230089,0.8898305084745762,113.0,123,113 +Ramp up,0.9807692307692307,0.9683544303797469,0.9745222929936306,158.0,156,158 +Ramp down,0.9783783783783784,0.8960396039603961,0.9354005167958657,202.0,185,202 +Grass walking,0.9555555555555556,0.9772727272727273,0.9662921348314607,176.0,180,176 +Uneven ground walking,0.8888888888888888,0.9353846153846154,0.9115442278860569,325.0,342,325 +Carry,0.9232914923291492,0.914364640883978,0.9188063844552394,724.0,717,724 +accuracy,0.8937823834196891,0.8937823834196891,0.8937823834196891,0.8937823834196891,0,0 +macro avg,0.8537122229891562,0.8821683585563559,0.8659919438590884,3860.0,0,0 +weighted avg,0.8954455634727649,0.8937823834196891,0.8938832247057883,3860.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..989d694a3138fbf817f297b8838de7ec99d5f888 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5252525252525253,0.47706422018348627,0.5,109.0,99,109 +Sit to stand,0.7,0.32558139534883723,0.4444444444444444,43.0,20,43 +Stand to sit,0.5,0.275,0.3548387096774194,40.0,22,40 +Sitting,0.47619047619047616,0.8823529411764706,0.6185567010309279,34.0,63,34 +Stair up,0.45,0.9,0.6,10.0,20,10 +Stair down,0.5,0.5,0.5,8.0,8,8 +Ramp up,0.5,0.5,0.5,8.0,8,8 +Ramp down,0.5,0.4,0.4444444444444444,10.0,8,10 +Grass walking,0.5384615384615384,0.7777777777777778,0.6363636363636364,9.0,13,9 +Uneven ground walking,0.5625,0.9,0.6923076923076923,10.0,16,10 +Carry,0.5217391304347826,0.631578947368421,0.5714285714285714,19.0,23,19 +accuracy,0.52,0.52,0.52,0.52,0,0 +macro avg,0.5249221518490294,0.5972141165322721,0.532944018154285,300.0,0,0 +weighted avg,0.5380906625580539,0.52,0.5026250809506547,300.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..de368fdc8502b6cd4ff24c25df1c81f9023e8528 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1385,4,34,5,33,15,10,10,18,40,64 +Sit to stand,17,61,5,32,0,0,0,0,0,0,0 +Stand to sit,43,30,108,25,0,0,0,0,0,0,0 +Sitting,8,8,2,321,0,0,0,0,0,0,0 +Stair up,2,0,0,0,117,0,0,0,0,0,0 +Stair down,11,0,0,0,0,110,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,155,0,0,0,0 +Ramp down,25,0,0,0,0,0,0,186,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,180,0,0 +Uneven ground walking,2,0,21,0,0,0,0,0,0,312,0 +Carry,77,0,0,0,0,0,0,0,0,0,669 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2f6c8eb7c1122e80907a63b030cfb8b171f0e1ea --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1323,1,30,5,25,11,7,5,11,34,54 +Sit to stand,5,46,4,19,0,0,0,0,0,0,0 +Stand to sit,30,28,96,12,0,0,0,0,0,0,0 +Sitting,8,5,2,291,0,0,0,0,0,0,0 +Stair up,0,0,0,0,109,0,0,0,0,0,0 +Stair down,6,0,0,0,0,107,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,150,0,0,0,0 +Ramp down,20,0,0,0,0,0,0,181,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,1,0,21,0,0,0,0,0,0,303,0 +Carry,70,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..39b26a514ee6df13b7af15a8bc909d31a1ed8722 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,62,3,4,0,8,4,3,5,7,6,10 +Sit to stand,12,15,1,13,0,0,0,0,0,0,0 +Stand to sit,13,2,12,13,0,0,0,0,0,0,0 +Sitting,0,3,0,30,0,0,0,0,0,0,0 +Stair up,2,0,0,0,8,0,0,0,0,0,0 +Stair down,5,0,0,0,0,3,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,5,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,5,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,7,0,0,0,0,0,0,0,0,0,13 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c369d0494cc40127fcfe9521a6fcd0a1b0af5c6 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8738170347003155,0.8559950556242274,0.8648142366531377,1618.0,1585,1618 +Sit to stand,0.5922330097087378,0.5304347826086957,0.5596330275229358,115.0,103,115 +Stand to sit,0.6352941176470588,0.5242718446601942,0.574468085106383,206.0,170,206 +Sitting,0.8381201044386423,0.9469026548672567,0.889196675900277,339.0,383,339 +Stair up,0.78,0.9831932773109243,0.8698884758364313,119.0,150,119 +Stair down,0.88,0.9090909090909091,0.8943089430894309,121.0,125,121 +Ramp up,0.9393939393939394,0.9337349397590361,0.9365558912386707,166.0,165,166 +Ramp down,0.9489795918367347,0.8815165876777251,0.914004914004914,211.0,196,211 +Grass walking,0.9090909090909091,0.9782608695652174,0.9424083769633508,184.0,198,184 +Uneven ground walking,0.8863636363636364,0.9313432835820895,0.9082969432314411,335.0,352,335 +Carry,0.91268758526603,0.8967828418230563,0.9046653144016227,746.0,733,746 +accuracy,0.8663461538461539,0.8663461538461539,0.8663461538461539,0.8663461538461539,0,0 +macro avg,0.8359981753132731,0.8519570042335757,0.841658262177145,4160.0,0,0 +weighted avg,0.8647787581205669,0.8663461538461539,0.8644278122977009,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b6ac6b4fcc648b08ffb157292c9b87d883a9b6e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8981670061099797,0.8784860557768924,0.8882175226586103,1506.0,1473,1506 +Sit to stand,0.575,0.6216216216216216,0.5974025974025974,74.0,80,74 +Stand to sit,0.6274509803921569,0.5783132530120482,0.6018808777429467,166.0,153,166 +Sitting,0.8899082568807339,0.9509803921568627,0.919431279620853,306.0,327,306 +Stair up,0.8134328358208955,1.0,0.897119341563786,109.0,134,109 +Stair down,0.9067796610169492,0.9469026548672567,0.9264069264069265,113.0,118,113 +Ramp up,0.9554140127388535,0.9493670886075949,0.9523809523809523,158.0,157,158 +Ramp down,0.9731182795698925,0.900497512437811,0.9354005167958657,201.0,186,201 +Grass walking,0.9402173913043478,0.9885714285714285,0.9637883008356546,175.0,184,175 +Uneven ground walking,0.8991097922848664,0.9323076923076923,0.9154078549848943,325.0,337,325 +Carry,0.923943661971831,0.9035812672176309,0.9136490250696379,726.0,710,726 +accuracy,0.8901269759004924,0.8901269759004924,0.8901269759004924,0.8901269759004924,0,0 +macro avg,0.8547765343718642,0.8773299060524399,0.8646441086784296,3859.0,0,0 +weighted avg,0.8906122296243338,0.8901269759004924,0.8897545896824182,3859.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..884dfa2d9e571a0b737786b2f7371b7d885622a9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5535714285714286,0.5535714285714286,0.5535714285714286,112.0,112,112 +Sit to stand,0.6521739130434783,0.36585365853658536,0.46875,41.0,23,41 +Stand to sit,0.7058823529411765,0.3,0.42105263157894735,40.0,17,40 +Sitting,0.5357142857142857,0.9090909090909091,0.6741573033707865,33.0,56,33 +Stair up,0.5,0.8,0.6153846153846154,10.0,16,10 +Stair down,0.42857142857142855,0.375,0.4,8.0,7,8 +Ramp up,0.625,0.625,0.625,8.0,8,8 +Ramp down,0.5,0.5,0.5,10.0,10,10 +Grass walking,0.5,0.7777777777777778,0.6086956521739131,9.0,14,9 +Uneven ground walking,0.6,0.9,0.72,10.0,15,10 +Carry,0.5652173913043478,0.65,0.6046511627906976,20.0,23,20 +accuracy,0.5614617940199336,0.5614617940199336,0.5614617940199336,0.5614617940199336,0,0 +macro avg,0.5605573454678314,0.6142085249069729,0.5628420721700352,301.0,0,0 +weighted avg,0.5810163296865763,0.5614617940199336,0.5462896231017248,301.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..39a152d8b5e0fa0272c026a80166ed27670ce9de --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1378,2,35,8,33,18,11,11,18,38,64 +Sit to stand,18,55,6,31,0,0,0,0,0,0,0 +Stand to sit,58,26,104,21,0,0,0,0,0,0,0 +Sitting,8,7,2,326,0,0,0,0,0,0,0 +Stair up,1,0,0,0,118,0,0,0,0,0,0 +Stair down,9,0,0,0,0,112,0,0,0,0,0 +Ramp up,13,0,0,0,0,0,153,0,0,0,0 +Ramp down,22,0,0,0,1,0,0,187,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,176,0,0 +Uneven ground walking,2,0,17,0,0,0,0,0,0,317,0 +Carry,80,0,0,0,0,0,0,0,0,0,665 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd08f0234ac3bb6016cf3f5e004425f2e24f4663 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1319,1,31,8,24,13,7,7,13,31,55 +Sit to stand,8,41,4,18,0,0,0,0,0,0,0 +Stand to sit,43,24,94,8,0,0,0,0,0,0,0 +Sitting,8,5,2,295,0,0,0,0,0,0,0 +Stair up,0,0,0,0,109,0,0,0,0,0,0 +Stair down,5,0,0,0,0,108,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,148,0,0,0,0 +Ramp down,17,0,0,0,0,0,0,182,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,1,0,17,0,0,0,0,0,0,308,0 +Carry,73,0,0,0,0,0,0,0,0,0,653 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1fc1c528ce596f0a3d48224a91281eb39e96194e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,59,1,4,0,9,5,4,4,5,7,9 +Sit to stand,10,14,2,13,0,0,0,0,0,0,0 +Stand to sit,15,2,10,13,0,0,0,0,0,0,0 +Sitting,0,2,0,31,0,0,0,0,0,0,0 +Stair up,1,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,5,0,0,0,0 +Ramp down,5,0,0,0,1,0,0,5,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,9,0 +Carry,7,0,0,0,0,0,0,0,0,0,12 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..aac2c5059855f0ba05d3ea9cc7158e9491f6e270 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8623279098873592,0.8527227722772277,0.8574984443061605,1616.0,1598,1616 +Sit to stand,0.6111111111111112,0.5,0.55,110.0,90,110 +Stand to sit,0.6341463414634146,0.49760765550239233,0.5576407506702413,209.0,164,209 +Sitting,0.844559585492228,0.9504373177842566,0.8943758573388203,343.0,386,343 +Stair up,0.7763157894736842,0.9915966386554622,0.8708487084870848,119.0,152,119 +Stair down,0.8615384615384616,0.9256198347107438,0.8924302788844621,121.0,130,121 +Ramp up,0.9329268292682927,0.9216867469879518,0.9272727272727272,166.0,164,166 +Ramp down,0.9444444444444444,0.8904761904761904,0.9166666666666666,210.0,198,210 +Grass walking,0.9072164948453608,0.9513513513513514,0.9287598944591029,185.0,194,185 +Uneven ground walking,0.8929577464788733,0.9434523809523809,0.9175108538350217,336.0,355,336 +Carry,0.9122085048010974,0.8926174496644296,0.9023066485753053,745.0,729,745 +accuracy,0.8632211538461538,0.8632211538461538,0.8632211538461538,0.8632211538461538,0,0 +macro avg,0.8345230198913023,0.8470516671238534,0.8377555300450539,4160.0,0,0 +weighted avg,0.860638403369083,0.8632211538461538,0.8605529652140409,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b134201d12f2a858bf2b0237f141005b00f3976c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8864247311827957,0.8740888005301524,0.8802135468802136,1509.0,1488,1509 +Sit to stand,0.5774647887323944,0.5774647887323944,0.5774647887323944,71.0,71,71 +Stand to sit,0.6351351351351351,0.5562130177514792,0.5930599369085173,169.0,148,169 +Sitting,0.8966565349544073,0.9516129032258065,0.9233176838810642,310.0,329,310 +Stair up,0.8195488721804511,1.0,0.9008264462809917,109.0,133,109 +Stair down,0.8925619834710744,0.9557522123893806,0.9230769230769231,113.0,121,113 +Ramp up,0.9548387096774194,0.9367088607594937,0.9456869009584664,158.0,155,158 +Ramp down,0.9629629629629629,0.914572864321608,0.9381443298969072,199.0,189,199 +Grass walking,0.9293478260869565,0.9771428571428571,0.9526462395543176,175.0,184,175 +Uneven ground walking,0.9085545722713865,0.9447852760736196,0.9263157894736842,326.0,339,326 +Carry,0.922316384180791,0.8994490358126722,0.9107391910739191,726.0,708,726 +accuracy,0.8869340232858991,0.8869340232858991,0.8869340232858991,0.8869340232858991,0,0 +macro avg,0.8532556818941613,0.8716173287944968,0.8610447069743089,3865.0,0,0 +weighted avg,0.8861648421806079,0.8869340232858991,0.8859491778903613,3865.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..c3cf8f7998ae9fb87184b379c2d0c9a55ed93f9d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5363636363636364,0.5514018691588785,0.543778801843318,107.0,110,107 +Sit to stand,0.7368421052631579,0.358974358974359,0.4827586206896552,39.0,19,39 +Stand to sit,0.625,0.25,0.35714285714285715,40.0,16,40 +Sitting,0.543859649122807,0.9393939393939394,0.6888888888888889,33.0,57,33 +Stair up,0.47368421052631576,0.9,0.6206896551724138,10.0,19,10 +Stair down,0.4444444444444444,0.5,0.47058823529411764,8.0,9,8 +Ramp up,0.5555555555555556,0.625,0.5882352941176471,8.0,9,8 +Ramp down,0.5555555555555556,0.45454545454545453,0.5,11.0,9,11 +Grass walking,0.5,0.5,0.5,10.0,10,10 +Uneven ground walking,0.5625,0.9,0.6923076923076923,10.0,16,10 +Carry,0.5714285714285714,0.631578947368421,0.6,19.0,21,19 +accuracy,0.5525423728813559,0.5525423728813559,0.5525423728813559,0.5525423728813559,0,0 +macro avg,0.5550212480236403,0.6009904154037321,0.5494900041324173,295.0,0,0 +weighted avg,0.5742549684431932,0.5525423728813559,0.53400517740093,295.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..02cc8ce83b7c17c733288ac53c1c16c4b4bf3303 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1390,1,33,12,31,12,11,10,18,40,67 +Sit to stand,18,50,2,41,0,0,0,0,0,0,0 +Stand to sit,64,21,99,22,0,0,0,0,0,0,0 +Sitting,8,8,3,320,0,0,0,0,0,0,0 +Stair up,0,0,0,0,117,0,0,0,0,0,0 +Stair down,10,0,0,0,0,111,0,0,0,0,0 +Ramp up,14,0,0,0,0,0,151,0,0,0,0 +Ramp down,26,0,0,0,1,0,0,186,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,177,0,0 +Uneven ground walking,4,0,17,0,0,0,0,0,0,315,0 +Carry,84,0,0,0,0,0,0,0,0,0,658 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..39db5d5590e609b4bb90a4d366442924912024ad --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1327,1,30,12,20,8,7,7,13,31,56 +Sit to stand,9,36,0,26,0,0,0,0,0,0,0 +Stand to sit,47,17,92,10,0,0,0,0,0,0,0 +Sitting,8,5,2,291,0,0,0,0,0,0,0 +Stair up,0,0,0,0,109,0,0,0,0,0,0 +Stair down,6,0,0,0,0,107,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,146,0,0,0,0 +Ramp down,21,0,0,0,0,0,0,182,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,2,0,17,0,0,0,0,0,0,307,0 +Carry,76,0,0,0,0,0,0,0,0,0,648 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..872ff7a802a89dd1329b9a5008d3a90d449939fc --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,63,0,3,0,11,4,4,3,5,9,11 +Sit to stand,9,14,2,15,0,0,0,0,0,0,0 +Stand to sit,17,4,7,12,0,0,0,0,0,0,0 +Sitting,0,3,1,29,0,0,0,0,0,0,0 +Stair up,0,0,0,0,8,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,5,0,0,0,0 +Ramp down,5,0,0,0,1,0,0,4,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,6,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,8,0 +Carry,8,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..fbff360c0ac9d6829d9c1e72f27d3bf0f9e89a36 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8548585485854858,0.8553846153846154,0.8551215010765918,1625.0,1626,1625 +Sit to stand,0.625,0.45045045045045046,0.5235602094240838,111.0,80,111 +Stand to sit,0.6428571428571429,0.48058252427184467,0.55,206.0,154,206 +Sitting,0.810126582278481,0.943952802359882,0.8719346049046321,339.0,395,339 +Stair up,0.785234899328859,1.0,0.8796992481203008,117.0,149,117 +Stair down,0.9024390243902439,0.9173553719008265,0.9098360655737705,121.0,123,121 +Ramp up,0.9320987654320988,0.9151515151515152,0.9235474006116208,165.0,162,165 +Ramp down,0.9489795918367347,0.8732394366197183,0.9095354523227384,213.0,196,213 +Grass walking,0.9076923076923077,0.9567567567567568,0.9315789473684211,185.0,195,185 +Uneven ground walking,0.8873239436619719,0.9375,0.9117221418234442,336.0,355,336 +Carry,0.9075862068965517,0.8867924528301887,0.8970688479890934,742.0,725,742 +accuracy,0.8591346153846153,0.8591346153846153,0.8591346153846153,0.8591346153846153,0,0 +macro avg,0.8367451829963525,0.8379241750659818,0.833054947201336,4160.0,0,0 +weighted avg,0.8562670832484011,0.8591346153846153,0.8557717865606034,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c1760a990483a678e2f96c7fc35ab7dc3d38c244 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8782263401720715,0.8776455026455027,0.8779358253390671,1512.0,1511,1512 +Sit to stand,0.6101694915254238,0.5070422535211268,0.5538461538461539,71.0,59,71 +Stand to sit,0.6524822695035462,0.5542168674698795,0.5993485342019544,166.0,141,166 +Sitting,0.8584070796460177,0.9509803921568627,0.9023255813953488,306.0,339,306 +Stair up,0.8449612403100775,1.0,0.9159663865546218,109.0,129,109 +Stair down,0.9304347826086956,0.9469026548672567,0.9385964912280702,113.0,115,113 +Ramp up,0.954248366013072,0.9299363057324841,0.9419354838709677,157.0,153,157 +Ramp down,0.9629629629629629,0.896551724137931,0.9285714285714286,203.0,189,203 +Grass walking,0.9293478260869565,0.9771428571428571,0.9526462395543176,175.0,184,175 +Uneven ground walking,0.908284023668639,0.941717791411043,0.9246987951807228,326.0,338,326 +Carry,0.9204545454545454,0.8950276243093923,0.907563025210084,724.0,704,724 +accuracy,0.8845157949249094,0.8845157949249094,0.8845157949249094,0.8845157949249094,0,0 +macro avg,0.8590889934501825,0.8615603612176668,0.8584939949957033,3862.0,0,0 +weighted avg,0.8829282278902503,0.8845157949249094,0.882934145373961,3862.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b52e245f9a88622c519c6f1a707ed2337ccd4aa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5478260869565217,0.5575221238938053,0.5526315789473685,113.0,115,113 +Sit to stand,0.6666666666666666,0.35,0.45901639344262296,40.0,21,40 +Stand to sit,0.5384615384615384,0.175,0.2641509433962264,40.0,13,40 +Sitting,0.5178571428571429,0.8787878787878788,0.651685393258427,33.0,56,33 +Stair up,0.4,1.0,0.5714285714285714,8.0,20,8 +Stair down,0.5,0.5,0.5,8.0,8,8 +Ramp up,0.5555555555555556,0.625,0.5882352941176471,8.0,9,8 +Ramp down,0.5714285714285714,0.4,0.47058823529411764,10.0,7,10 +Grass walking,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Uneven ground walking,0.47058823529411764,0.8,0.5925925925925926,10.0,17,10 +Carry,0.47619047619047616,0.5555555555555556,0.5128205128205128,18.0,21,18 +accuracy,0.5302013422818792,0.5302013422818792,0.5302013422818792,0.5302013422818792,0,0 +macro avg,0.5263662562604668,0.5856241416579308,0.5213252806115144,298.0,0,0 +weighted avg,0.5479508331649203,0.5302013422818792,0.5091740067799547,298.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e80112ff342abbb151354e4062babb48c9556803 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1379,1,34,18,25,11,10,15,20,40,71 +Sit to stand,27,30,1,52,0,0,0,0,0,0,0 +Stand to sit,91,13,62,38,0,0,0,0,0,0,0 +Sitting,11,8,1,322,0,0,0,0,0,0,0 +Stair up,5,0,0,0,113,0,0,0,0,0,0 +Stair down,18,0,0,0,0,103,0,0,0,0,0 +Ramp up,16,0,0,0,0,0,150,0,0,0,0 +Ramp down,25,0,0,0,0,0,0,187,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,178,0,0 +Uneven ground walking,3,0,5,12,0,0,0,0,0,315,0 +Carry,93,0,0,0,0,0,0,0,0,0,650 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2bff8deb73c835d46f444912ffe088a7f453c7c6 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1310,0,34,16,20,7,6,11,15,33,63 +Sit to stand,15,25,0,27,0,0,0,0,0,0,0 +Stand to sit,69,7,56,32,0,0,0,0,0,0,0 +Sitting,8,5,0,295,0,0,0,0,0,0,0 +Stair up,2,0,0,0,106,0,0,0,0,0,0 +Stair down,14,0,0,0,0,99,0,0,0,0,0 +Ramp up,12,0,0,0,0,0,146,0,0,0,0 +Ramp down,20,0,0,0,0,0,0,182,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,1,0,5,11,0,0,0,0,0,308,0 +Carry,84,0,0,0,0,0,0,0,0,0,640 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..eddddc04ad1c497c0418b95c639dece15d9cb5ba --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,69,1,0,2,5,4,4,4,5,7,8 +Sit to stand,12,5,1,25,0,0,0,0,0,0,0 +Stand to sit,22,6,6,6,0,0,0,0,0,0,0 +Sitting,3,3,1,27,0,0,0,0,0,0,0 +Stair up,3,0,0,0,7,0,0,0,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,5,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,2,0,0,1,0,0,0,0,0,7,0 +Carry,9,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..8684425202c180856f744e6d5638a28d11e0b995 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8232835820895522,0.8491379310344828,0.8360109123976963,1624.0,1675,1624 +Sit to stand,0.5769230769230769,0.2727272727272727,0.37037037037037035,110.0,52,110 +Stand to sit,0.6019417475728155,0.30392156862745096,0.40390879478827363,204.0,103,204 +Sitting,0.7285067873303167,0.9415204678362573,0.8214285714285714,342.0,442,342 +Stair up,0.8188405797101449,0.9576271186440678,0.8828125,118.0,138,118 +Stair down,0.9035087719298246,0.8512396694214877,0.8765957446808511,121.0,114,121 +Ramp up,0.9375,0.9036144578313253,0.9202453987730062,166.0,160,166 +Ramp down,0.9257425742574258,0.8820754716981132,0.9033816425120773,212.0,202,212 +Grass walking,0.898989898989899,0.9621621621621622,0.9295039164490861,185.0,198,185 +Uneven ground walking,0.8873239436619719,0.9402985074626866,0.9130434782608695,335.0,355,335 +Carry,0.9015256588072122,0.8748317631224765,0.8879781420765027,743.0,721,743 +accuracy,0.838701923076923,0.838701923076923,0.838701923076923,0.838701923076923,0,0 +macro avg,0.8185533292065673,0.7944687627788892,0.795025406521573,4160.0,0,0 +weighted avg,0.8326081504885395,0.838701923076923,0.8302551879515757,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..01df13db745dbe09b640e90030d493538764d812 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8506493506493507,0.8646864686468647,0.8576104746317512,1515.0,1540,1515 +Sit to stand,0.6756756756756757,0.373134328358209,0.4807692307692308,67.0,37,67 +Stand to sit,0.5894736842105263,0.34146341463414637,0.43243243243243246,164.0,95,164 +Sitting,0.7742782152230971,0.9577922077922078,0.8563134978229318,308.0,381,308 +Stair up,0.8412698412698413,0.9814814814814815,0.905982905982906,108.0,126,108 +Stair down,0.9339622641509434,0.8761061946902655,0.9041095890410958,113.0,106,113 +Ramp up,0.9605263157894737,0.9240506329113924,0.9419354838709677,158.0,152,158 +Ramp down,0.9430051813471503,0.900990099009901,0.9215189873417722,202.0,193,202 +Grass walking,0.9193548387096774,0.9715909090909091,0.9447513812154696,176.0,186,176 +Uneven ground walking,0.9032258064516129,0.9476923076923077,0.924924924924925,325.0,341,325 +Carry,0.9103840682788051,0.8839779005524862,0.8969866853538893,724.0,703,724 +accuracy,0.8647668393782384,0.8647668393782384,0.8647668393782384,0.8647668393782384,0,0 +macro avg,0.8456186583414684,0.8202696313509247,0.8243032357624884,3860.0,0,0 +weighted avg,0.8606925902538523,0.8647668393782384,0.8594386701995366,3860.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b1bd5100873257402fdf9bcf2d775bf04f207f66 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5111111111111111,0.6330275229357798,0.5655737704918032,109.0,135,109 +Sit to stand,0.3333333333333333,0.11627906976744186,0.1724137931034483,43.0,15,43 +Stand to sit,0.75,0.15,0.25,40.0,8,40 +Sitting,0.4426229508196721,0.7941176470588235,0.5684210526315789,34.0,61,34 +Stair up,0.5833333333333334,0.7,0.6363636363636364,10.0,12,10 +Stair down,0.5,0.5,0.5,8.0,8,8 +Ramp up,0.5,0.5,0.5,8.0,8,8 +Ramp down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Grass walking,0.5833333333333334,0.7777777777777778,0.6666666666666666,9.0,12,9 +Uneven ground walking,0.5,0.7,0.5833333333333334,10.0,14,10 +Carry,0.5555555555555556,0.5263157894736842,0.5405405405405406,19.0,18,19 +accuracy,0.5033333333333333,0.5033333333333333,0.5033333333333333,0.5033333333333333,0,0 +macro avg,0.528622288458354,0.5361379824557734,0.5008753256913355,300.0,0,0 +weighted avg,0.5176268973891924,0.5033333333333333,0.467060159128351,300.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..4825bd3e84fb70988767ff646eae7048df992399 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1336,12,25,38,26,16,16,24,19,47,67 +Sit to stand,32,12,0,66,0,0,0,0,0,0,0 +Stand to sit,102,6,16,78,0,0,0,2,0,0,0 +Sitting,32,2,2,304,0,0,0,0,0,0,0 +Stair up,3,0,0,0,112,0,0,3,0,0,0 +Stair down,16,0,0,0,0,105,0,0,0,0,0 +Ramp up,23,0,0,0,0,0,143,0,0,0,0 +Ramp down,19,0,0,0,0,0,0,193,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,171,8,0 +Uneven ground walking,14,0,0,17,0,0,0,0,0,304,0 +Carry,118,0,0,0,0,0,0,0,0,0,625 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4d887fa564f80d527474f149d5495e332e272fef --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1278,11,19,32,21,10,13,15,15,37,66 +Sit to stand,15,12,0,41,0,0,0,0,0,0,0 +Stand to sit,79,3,9,72,0,0,0,1,0,0,0 +Sitting,15,1,0,290,0,0,0,0,0,0,0 +Stair up,1,0,0,0,107,0,0,0,0,0,0 +Stair down,12,0,0,0,0,101,0,0,0,0,0 +Ramp up,19,0,0,0,0,0,139,0,0,0,0 +Ramp down,14,0,0,0,0,0,0,188,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,165,6,0 +Uneven ground walking,11,0,0,15,0,0,0,0,0,299,0 +Carry,102,0,0,0,0,0,0,0,0,0,622 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cb638c2e8a6bd2ae8652409be62bada99aacd8a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,58,1,6,6,5,6,3,9,4,10,1 +Sit to stand,17,0,0,25,0,0,0,0,0,0,0 +Stand to sit,23,3,7,6,0,0,0,1,0,0,0 +Sitting,17,1,2,14,0,0,0,0,0,0,0 +Stair up,2,0,0,0,5,0,0,3,0,0,0 +Stair down,4,0,0,0,0,4,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,4,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,5,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,6,2,0 +Uneven ground walking,3,0,0,2,0,0,0,0,0,5,0 +Carry,16,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..806c835421a4c2d23f41f5f7f7385d36ca4dfc2b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7854203409758965,0.8216482164821648,0.8031259392846408,1626.0,1701,1626 +Sit to stand,0.375,0.10909090909090909,0.16901408450704225,110.0,32,110 +Stand to sit,0.37209302325581395,0.0784313725490196,0.12955465587044535,204.0,43,204 +Sitting,0.6043737574552683,0.8941176470588236,0.7212336892052195,340.0,503,340 +Stair up,0.8115942028985508,0.9491525423728814,0.875,118.0,138,118 +Stair down,0.8677685950413223,0.8677685950413223,0.8677685950413223,121.0,121,121 +Ramp up,0.89937106918239,0.8614457831325302,0.88,166.0,159,166 +Ramp down,0.8693693693693694,0.910377358490566,0.8894009216589862,212.0,222,212 +Grass walking,0.9,0.9243243243243243,0.912,185.0,190,185 +Uneven ground walking,0.8467966573816156,0.9074626865671642,0.8760806916426513,335.0,359,335 +Carry,0.903179190751445,0.8411843876177658,0.8710801393728222,743.0,692,743 +accuracy,0.7983173076923077,0.7983173076923077,0.7983173076923077,0.7983173076923077,0,0 +macro avg,0.7486332914828793,0.7422730747934064,0.7267507924166481,4160.0,0,0 +weighted avg,0.7825352325455677,0.7983173076923077,0.7808715147466216,4160.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..94cb98fef5ccd841b99940b2510cbc1bccf5ea04 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8239845261121856,0.8424522083058669,0.833116036505867,1517.0,1551,1517 +Sit to stand,0.4444444444444444,0.17647058823529413,0.25263157894736843,68.0,27,68 +Stand to sit,0.32142857142857145,0.054878048780487805,0.09375,164.0,28,164 +Sitting,0.6444444444444445,0.9477124183006536,0.7671957671957672,306.0,450,306 +Stair up,0.8359375,0.9907407407407407,0.9067796610169492,108.0,128,108 +Stair down,0.9099099099099099,0.8938053097345132,0.9017857142857143,113.0,111,113 +Ramp up,0.9144736842105263,0.879746835443038,0.896774193548387,158.0,152,158 +Ramp down,0.9215686274509803,0.9306930693069307,0.9261083743842364,202.0,204,202 +Grass walking,0.9166666666666666,0.9375,0.9269662921348315,176.0,180,176 +Uneven ground walking,0.8742690058479532,0.92,0.896551724137931,325.0,342,325 +Carry,0.9040697674418605,0.8591160220994475,0.8810198300283286,724.0,688,724 +accuracy,0.8313908313908314,0.8313908313908314,0.8313908313908314,0.8313908313908314,0,0 +macro avg,0.7737451952688675,0.7666468400860885,0.7529708338350346,3861.0,0,0 +weighted avg,0.816856534726936,0.8313908313908314,0.8164037341417173,3861.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3068f7f986330050beeffa7e6e2f6c1b0f10de23 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject06/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.38666666666666666,0.5321100917431193,0.44787644787644787,109.0,150,109 +Sit to stand,0.0,0.0,0.0,42.0,5,42 +Stand to sit,0.4666666666666667,0.175,0.2545454545454545,40.0,15,40 +Sitting,0.2641509433962264,0.4117647058823529,0.3218390804597701,34.0,53,34 +Stair up,0.5,0.5,0.5,10.0,10,10 +Stair down,0.4,0.5,0.4444444444444444,8.0,10,8 +Ramp up,0.5714285714285714,0.5,0.5333333333333333,8.0,7,8 +Ramp down,0.2777777777777778,0.5,0.35714285714285715,10.0,18,10 +Grass walking,0.6,0.6666666666666666,0.631578947368421,9.0,10,9 +Uneven ground walking,0.29411764705882354,0.5,0.37037037037037035,10.0,17,10 +Carry,0.75,0.15789473684210525,0.2608695652173913,19.0,4,19 +accuracy,0.3712374581939799,0.3712374581939799,0.3712374581939799,0.3712374581939799,0,0 +macro avg,0.4100734793631575,0.4039487455576586,0.3747273182507719,299.0,0,0 +weighted avg,0.3609861144769218,0.3712374581939799,0.33672564046416026,299.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..aa78b2778321f08d4bb0a5bcd372958f451592a7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2482,34,43,5,77,87,27,24,22,74,102 +Sit to stand,90,122,96,42,0,0,0,0,0,0,0 +Stand to sit,106,54,253,44,0,0,0,0,0,0,0 +Sitting,9,47,22,441,0,0,0,0,0,0,0 +Stair up,0,0,0,0,261,0,0,0,0,0,0 +Stair down,7,1,0,1,0,257,0,0,0,0,0 +Ramp up,33,0,0,2,4,0,385,3,0,0,0 +Ramp down,41,0,9,0,0,2,165,255,0,0,0 +Grass walking,19,0,0,0,0,0,0,0,414,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,528,0 +Carry,106,0,0,0,0,0,0,0,0,0,1202 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8620dc5b4a3a45e0b1e52b6fe82f561a7d455c06 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2360,28,12,5,58,72,14,19,11,56,80 +Sit to stand,44,83,63,13,0,0,0,0,0,0,0 +Stand to sit,64,32,193,18,0,0,0,0,0,0,0 +Sitting,6,30,11,386,0,0,0,0,0,0,0 +Stair up,0,0,0,0,240,0,0,0,0,0,0 +Stair down,3,0,0,1,0,242,0,0,0,0,0 +Ramp up,25,0,0,2,4,0,376,3,0,0,0 +Ramp down,33,0,7,0,0,2,162,248,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,402,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,510,0 +Carry,94,0,0,0,0,0,0,0,0,0,1169 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..34db9256d77757e1711c62cb5a02faf9b57bd15f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,122,6,31,0,19,15,13,5,11,18,22 +Sit to stand,46,39,33,29,0,0,0,0,0,0,0 +Stand to sit,42,22,60,26,0,0,0,0,0,0,0 +Sitting,3,17,11,55,0,0,0,0,0,0,0 +Stair up,0,0,0,0,21,0,0,0,0,0,0 +Stair down,4,1,0,0,0,15,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,9,0,0,0,0 +Ramp down,8,0,2,0,0,0,3,7,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,18,0 +Carry,12,0,0,0,0,0,0,0,0,0,33 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..87d4f6b33a5276d3f83717efbbb1f341e125e0aa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8573402417962004,0.8337252267383272,0.8453678474114441,2977.0,2895,2977 +Sit to stand,0.4728682170542636,0.3485714285714286,0.40131578947368424,350.0,258,350 +Stand to sit,0.5981087470449172,0.5536105032822757,0.575,457.0,423,457 +Sitting,0.8242990654205608,0.8497109826589595,0.8368121442125237,519.0,535,519 +Stair up,0.7631578947368421,1.0,0.8656716417910447,261.0,342,261 +Stair down,0.7427745664739884,0.9661654135338346,0.8398692810457516,266.0,346,266 +Ramp up,0.6672443674176777,0.9016393442622951,0.7669322709163346,427.0,577,427 +Ramp down,0.9042553191489362,0.5402542372881356,0.6763925729442971,472.0,282,472 +Grass walking,0.9495412844036697,0.9561200923787528,0.952819332566168,433.0,436,433 +Uneven ground walking,0.8770764119601329,0.9962264150943396,0.9328621908127208,530.0,602,530 +Carry,0.9217791411042945,0.918960244648318,0.9203675344563553,1308.0,1304,1308 +accuracy,0.825,0.825,0.825,0.825,0,0 +macro avg,0.7798586596874076,0.8059076262233333,0.7830373277845749,8000.0,0,0 +weighted avg,0.8261407224916497,0.825,0.8201390599354226,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..30196c56a3f4d9bf26569cbeb50a79a6f7a7988f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8939393939393939,0.8692449355432781,0.8814192343604108,2715.0,2640,2715 +Sit to stand,0.4797687861271676,0.4088669950738916,0.44148936170212766,203.0,173,203 +Stand to sit,0.6748251748251748,0.6286644951140065,0.6509274873524452,307.0,286,307 +Sitting,0.908235294117647,0.8914549653579676,0.8997668997668997,433.0,425,433 +Stair up,0.7947019867549668,1.0,0.8856088560885609,240.0,302,240 +Stair down,0.7658227848101266,0.983739837398374,0.8612099644128114,246.0,316,246 +Ramp up,0.6811594202898551,0.9170731707317074,0.7817047817047817,410.0,552,410 +Ramp down,0.9185185185185185,0.5486725663716814,0.6869806094182825,452.0,270,452 +Grass walking,0.9733656174334141,0.9733656174334141,0.9733656174334141,413.0,413,413 +Uneven ground walking,0.901060070671378,1.0,0.9479553903345725,510.0,566,510 +Carry,0.9359487590072058,0.9255740300870943,0.9307324840764332,1263.0,1249,1263 +accuracy,0.8633203559510567,0.8633203559510567,0.8633203559510567,0.8633203559510567,0,0 +macro avg,0.8115768914995317,0.8315142375555831,0.8128327896955218,7192.0,0,0 +weighted avg,0.8679207817569157,0.8633203559510567,0.8604699272875852,7192.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e5c78c96de076935eb6affbf37a9e1cb1d251ae2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.47843137254901963,0.46564885496183206,0.47195357833655704,262.0,255,262 +Sit to stand,0.4588235294117647,0.2653061224489796,0.33620689655172414,147.0,85,147 +Stand to sit,0.43795620437956206,0.4,0.4181184668989547,150.0,137,150 +Sitting,0.5,0.6395348837209303,0.5612244897959183,86.0,110,86 +Stair up,0.525,1.0,0.6885245901639344,21.0,40,21 +Stair down,0.5,0.75,0.6,20.0,30,20 +Ramp up,0.36,0.5294117647058824,0.42857142857142855,17.0,25,17 +Ramp down,0.5833333333333334,0.35,0.4375,20.0,12,20 +Grass walking,0.5217391304347826,0.6,0.5581395348837209,20.0,23,20 +Uneven ground walking,0.5,0.9,0.6428571428571429,20.0,36,20 +Carry,0.6,0.7333333333333333,0.66,45.0,55,45 +accuracy,0.4839108910891089,0.4839108910891089,0.4839108910891089,0.4839108910891089,0,0 +macro avg,0.4968439609189511,0.6030213599246325,0.5275541934599438,808.0,0,0 +weighted avg,0.47987123559860045,0.4839108910891089,0.47063365310463834,808.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..a46286e424ca4f611b292218688993a717e9396c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2493,23,44,6,78,86,25,24,21,66,103 +Sit to stand,85,121,88,60,0,0,0,0,0,0,0 +Stand to sit,123,44,248,45,0,0,0,0,0,0,0 +Sitting,8,50,17,437,0,0,0,0,0,0,0 +Stair up,0,0,0,0,258,0,0,0,0,0,0 +Stair down,5,1,0,1,0,257,0,0,0,0,0 +Ramp up,33,0,0,2,4,0,389,3,0,0,0 +Ramp down,37,0,9,0,0,0,174,257,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,414,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,530,0 +Carry,107,0,0,0,0,0,0,0,0,0,1202 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..42e2b8e5bdf9b7b8bb04119c57635eebe433d687 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2374,18,16,5,59,70,15,18,11,50,80 +Sit to stand,38,93,52,26,0,0,0,0,0,0,0 +Stand to sit,71,27,197,19,0,0,0,0,0,0,0 +Sitting,5,31,9,382,0,0,0,0,0,0,0 +Stair up,0,0,0,0,238,0,0,0,0,0,0 +Stair down,2,0,0,1,0,241,0,0,0,0,0 +Ramp up,24,0,0,2,4,0,378,3,0,0,0 +Ramp down,27,0,7,0,0,0,171,251,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,404,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,512,0 +Carry,94,0,0,0,0,0,0,0,0,0,1168 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6f9a8e12ccb05b650fc699b313a387cf6e881705 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,119,5,28,1,19,16,10,6,10,16,23 +Sit to stand,47,28,36,34,0,0,0,0,0,0,0 +Stand to sit,52,17,51,26,0,0,0,0,0,0,0 +Sitting,3,19,8,55,0,0,0,0,0,0,0 +Stair up,0,0,0,0,20,0,0,0,0,0,0 +Stair down,3,1,0,0,0,16,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,11,0,0,0,0 +Ramp down,10,0,2,0,0,0,3,6,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,18,0 +Carry,13,0,0,0,0,0,0,0,0,0,34 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ca309095813c0d0b8969c11fbee28a37e5ced04 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8558187435633368,0.8396766588076794,0.8476708602516151,2969.0,2913,2969 +Sit to stand,0.5062761506276151,0.3418079096045198,0.40809443507588533,354.0,239,354 +Stand to sit,0.6108374384236454,0.5391304347826087,0.5727482678983834,460.0,406,460 +Sitting,0.7931034482758621,0.853515625,0.8222013170272813,512.0,551,512 +Stair up,0.7588235294117647,1.0,0.862876254180602,258.0,340,258 +Stair down,0.749271137026239,0.9734848484848485,0.8467874794069192,264.0,343,264 +Ramp up,0.6615646258503401,0.9025522041763341,0.7634936211972522,431.0,588,431 +Ramp down,0.9049295774647887,0.5387840670859538,0.6754270696452037,477.0,284,477 +Grass walking,0.9517241379310345,0.9539170506912442,0.952819332566168,434.0,435,434 +Uneven ground walking,0.889261744966443,0.9962406015037594,0.9397163120567376,532.0,596,532 +Carry,0.9210727969348659,0.9182582123758595,0.9196633511859219,1309.0,1305,1309 +accuracy,0.82575,0.82575,0.82575,0.82575,0,0 +macro avg,0.7820621209523577,0.8052152375011642,0.7828634818629063,8000.0,0,0 +weighted avg,0.826173927810145,0.82575,0.8200427397255259,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f5d9d3116c46f94065d881ccc629ee377a157ec8 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8975425330812854,0.874079528718704,0.8856556612572282,2716.0,2645,2716 +Sit to stand,0.5502958579881657,0.4449760765550239,0.49206349206349204,209.0,169,209 +Stand to sit,0.701067615658363,0.6273885350318471,0.6621848739495798,314.0,281,314 +Sitting,0.8781609195402299,0.8946135831381733,0.8863109048723898,427.0,435,427 +Stair up,0.7906976744186046,1.0,0.8831168831168831,238.0,301,238 +Stair down,0.77491961414791,0.9877049180327869,0.8684684684684685,244.0,311,244 +Ramp up,0.6702127659574468,0.9197080291970803,0.7753846153846153,411.0,564,411 +Ramp down,0.9227941176470589,0.5504385964912281,0.6895604395604396,456.0,272,456 +Grass walking,0.9734939759036144,0.9758454106280193,0.9746682750301568,414.0,415,414 +Uneven ground walking,0.9110320284697508,1.0,0.9534450651769087,512.0,562,512 +Carry,0.9358974358974359,0.9255150554675119,0.9306772908366534,1262.0,1248,1262 +accuracy,0.8660280438706095,0.8660280438706095,0.8660280438706095,0.8660280438706095,0,0 +macro avg,0.8187376853372605,0.8363881575691251,0.8183214517924378,7203.0,0,0 +weighted avg,0.870740353137743,0.8660280438706095,0.8629827703368405,7203.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..48bd38361cd5d999e440963d0efa788cfcd9d598 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.44402985074626866,0.47035573122529645,0.45681381957773515,253.0,268,253 +Sit to stand,0.4,0.19310344827586207,0.26046511627906976,145.0,70,145 +Stand to sit,0.408,0.3493150684931507,0.3763837638376384,146.0,125,146 +Sitting,0.47413793103448276,0.6470588235294118,0.5472636815920398,85.0,116,85 +Stair up,0.5128205128205128,1.0,0.6779661016949152,20.0,39,20 +Stair down,0.5,0.8,0.6153846153846154,20.0,32,20 +Ramp up,0.4583333333333333,0.55,0.5,20.0,24,20 +Ramp down,0.5,0.2857142857142857,0.36363636363636365,21.0,12,21 +Grass walking,0.5,0.5,0.5,20.0,20,20 +Uneven ground walking,0.5294117647058824,0.9,0.6666666666666666,20.0,34,20 +Carry,0.5964912280701754,0.723404255319149,0.6538461538461539,47.0,57,47 +accuracy,0.4617314930991217,0.4617314930991217,0.4617314930991217,0.4617314930991217,0,0 +macro avg,0.4839295109736959,0.5835410556870143,0.5107660256831998,797.0,0,0 +weighted avg,0.4501325926138391,0.4617314930991217,0.4421308170781775,797.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..46cd943699b78c494037747593b79a048a1fe6f0 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2502,7,49,6,73,82,37,34,28,57,105 +Sit to stand,75,117,60,88,0,0,0,0,0,0,0 +Stand to sit,143,32,222,57,0,0,0,0,0,0,0 +Sitting,11,54,6,453,0,0,0,0,0,0,0 +Stair up,1,0,0,0,260,0,0,0,0,0,0 +Stair down,11,1,0,1,0,254,0,0,0,0,0 +Ramp up,31,0,0,2,4,1,389,3,0,0,0 +Ramp down,34,0,8,0,1,0,173,259,0,0,0 +Grass walking,16,0,0,0,0,0,0,0,416,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,529,0 +Carry,108,0,0,0,0,0,0,0,0,0,1199 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6bf0af0b7b14683ece1b7886f05b53cd9f69d346 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2372,6,18,5,54,70,27,27,19,43,77 +Sit to stand,30,87,33,45,0,0,0,0,0,0,0 +Stand to sit,91,14,177,28,0,0,0,0,0,0,0 +Sitting,4,33,5,389,0,0,0,0,0,0,0 +Stair up,0,0,0,0,241,0,0,0,0,0,0 +Stair down,7,0,0,1,0,239,0,0,0,0,0 +Ramp up,21,0,0,2,4,0,379,3,0,0,0 +Ramp down,25,0,7,0,0,0,171,252,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,404,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,510,0 +Carry,93,0,0,0,0,0,0,0,0,0,1170 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fa659776533d1721a03c4e87bb20a29b0a0b609 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,130,1,31,1,19,12,10,7,9,14,28 +Sit to stand,45,30,27,43,0,0,0,0,0,0,0 +Stand to sit,52,18,45,29,0,0,0,0,0,0,0 +Sitting,7,21,1,64,0,0,0,0,0,0,0 +Stair up,1,0,0,0,19,0,0,0,0,0,0 +Stair down,4,1,0,0,0,15,0,0,0,0,0 +Ramp up,10,0,0,0,0,1,10,0,0,0,0 +Ramp down,9,0,1,0,1,0,2,7,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,19,0 +Carry,15,0,0,0,0,0,0,0,0,0,29 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..94f906d7ebd26c4b4820fb2334fb0e0fc0d91f99 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8530514831230822,0.8395973154362416,0.8462709284627092,2980.0,2933,2980 +Sit to stand,0.5545023696682464,0.34411764705882353,0.4246823956442831,340.0,211,340 +Stand to sit,0.6434782608695652,0.4889867841409692,0.5556946182728411,454.0,345,454 +Sitting,0.7462932454695222,0.8645038167938931,0.8010610079575596,524.0,607,524 +Stair up,0.7692307692307693,0.9961685823754789,0.8681135225375626,261.0,338,261 +Stair down,0.7537091988130564,0.951310861423221,0.8410596026490066,267.0,337,267 +Ramp up,0.6494156928213689,0.9046511627906977,0.7560738581146744,430.0,599,430 +Ramp down,0.875,0.5452631578947369,0.6718547341115434,475.0,296,475 +Grass walking,0.9369369369369369,0.9629629629629629,0.9497716894977168,432.0,444,432 +Uneven ground walking,0.9027303754266212,0.9981132075471698,0.9480286738351255,530.0,586,530 +Carry,0.9194785276073619,0.9173680183626626,0.9184220605132133,1307.0,1304,1307 +accuracy,0.825,0.825,0.825,0.825,0,0 +macro avg,0.7821660781787755,0.8011857742533507,0.7800939174178396,8000.0,0,0 +weighted avg,0.8244583303169993,0.825,0.8183547759089803,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..aa4f848c4807884c13e920d541b28a8c42003d1a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8947566955865711,0.8727005150846211,0.8835909852859005,2718.0,2651,2718 +Sit to stand,0.6214285714285714,0.4461538461538462,0.5194029850746269,195.0,140,195 +Stand to sit,0.7375,0.5709677419354838,0.6436363636363637,310.0,240,310 +Sitting,0.8276595744680851,0.9025522041763341,0.8634850166481687,431.0,470,431 +Stair up,0.8060200668896321,1.0,0.8925925925925926,241.0,299,241 +Stair down,0.7734627831715211,0.9676113360323887,0.8597122302158273,247.0,309,247 +Ramp up,0.6568457538994801,0.9266503667481663,0.768762677484787,409.0,577,409 +Ramp down,0.8936170212765957,0.5538461538461539,0.683853459972863,455.0,282,455 +Grass walking,0.9550827423167849,0.9805825242718447,0.9676646706586827,412.0,423,412 +Uneven ground walking,0.9222423146473779,1.0,0.9595484477892756,510.0,553,510 +Carry,0.9382518043303929,0.9263657957244655,0.9322709163346613,1263.0,1247,1263 +accuracy,0.8649701015157836,0.8649701015157836,0.8649701015157836,0.8649701015157836,0,0 +macro avg,0.8206243025468193,0.8315845894521184,0.8158654859721589,7191.0,0,0 +weighted avg,0.8688450907234163,0.8649701015157836,0.8612320831693648,7191.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..dcc9862ae131cd4ed749aeb87a9143ed9dca347f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.46099290780141844,0.4961832061068702,0.47794117647058826,262.0,282,262 +Sit to stand,0.4225352112676056,0.20689655172413793,0.2777777777777778,145.0,71,145 +Stand to sit,0.42857142857142855,0.3125,0.3614457831325301,144.0,105,144 +Sitting,0.46715328467153283,0.6881720430107527,0.5565217391304348,93.0,137,93 +Stair up,0.48717948717948717,0.95,0.6440677966101694,20.0,39,20 +Stair down,0.5357142857142857,0.75,0.625,20.0,28,20 +Ramp up,0.45454545454545453,0.47619047619047616,0.46511627906976744,21.0,22,21 +Ramp down,0.5,0.35,0.4117647058823529,20.0,14,20 +Grass walking,0.5714285714285714,0.6,0.5853658536585366,20.0,21,20 +Uneven ground walking,0.5757575757575758,0.95,0.7169811320754716,20.0,33,20 +Carry,0.5087719298245614,0.6590909090909091,0.5742574257425742,44.0,57,44 +accuracy,0.46971569839307786,0.46971569839307786,0.46971569839307786,0.46971569839307786,0,0 +macro avg,0.49205910334199293,0.5853666532839223,0.5178399699591094,809.0,0,0 +weighted avg,0.460494816471998,0.46971569839307786,0.44993997389487717,809.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..54effa4c6dcde95b53b23bc828a4a8542a16e314 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2495,4,47,9,72,72,33,34,42,59,111 +Sit to stand,71,119,41,123,0,0,0,0,0,0,0 +Stand to sit,150,27,208,70,0,0,0,0,0,1,0 +Sitting,11,54,5,443,0,0,0,0,0,0,0 +Stair up,1,0,0,0,261,0,0,0,0,0,0 +Stair down,10,1,0,1,0,251,0,0,0,0,0 +Ramp up,27,0,0,2,4,1,393,3,0,0,0 +Ramp down,39,0,6,0,0,0,172,258,0,0,0 +Grass walking,21,0,0,0,0,0,0,0,414,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,530,0 +Carry,101,0,0,0,0,0,0,0,0,0,1203 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9fa45f272aa08c06098a61d267909235154a8e43 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2371,4,15,7,54,60,24,27,31,44,82 +Sit to stand,28,91,19,72,0,0,0,0,0,0,0 +Stand to sit,101,10,159,38,0,0,0,0,0,1,0 +Sitting,5,32,2,394,0,0,0,0,0,0,0 +Stair up,0,0,0,0,242,0,0,0,0,0,0 +Stair down,4,1,0,1,0,237,0,0,0,0,0 +Ramp up,18,0,0,2,4,0,383,3,0,0,0 +Ramp down,28,0,5,0,0,0,171,250,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,403,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,510,0 +Carry,86,0,0,0,0,0,0,0,0,0,1174 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..461e1f917e05776148eeba8ad008d10299b98f3c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,124,0,32,2,18,12,9,7,11,15,29 +Sit to stand,43,28,22,51,0,0,0,0,0,0,0 +Stand to sit,49,17,49,32,0,0,0,0,0,0,0 +Sitting,6,22,3,49,0,0,0,0,0,0,0 +Stair up,1,0,0,0,19,0,0,0,0,0,0 +Stair down,6,0,0,0,0,14,0,0,0,0,0 +Ramp up,9,0,0,0,0,1,10,0,0,0,0 +Ramp down,11,0,1,0,0,0,1,8,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,11,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,20,0 +Carry,15,0,0,0,0,0,0,0,0,0,29 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c36f0ce3d004feb342e06274beba0b20e5955ad7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8526999316473001,0.8378106111484218,0.8451897018970189,2978.0,2926,2978 +Sit to stand,0.5804878048780487,0.3361581920903955,0.4257602862254025,354.0,205,354 +Stand to sit,0.6775244299674267,0.45614035087719296,0.54521625163827,456.0,307,456 +Sitting,0.683641975308642,0.8635477582846004,0.7631352282515074,513.0,648,513 +Stair up,0.7744807121661721,0.9961832061068703,0.8714524207011686,262.0,337,262 +Stair down,0.7746913580246914,0.9543726235741445,0.8551959114139693,263.0,324,263 +Ramp up,0.657190635451505,0.913953488372093,0.7645914396887159,430.0,598,430 +Ramp down,0.8745762711864407,0.5431578947368421,0.6701298701298701,475.0,295,475 +Grass walking,0.9078947368421053,0.9517241379310345,0.9292929292929293,435.0,456,435 +Uneven ground walking,0.8983050847457628,1.0,0.9464285714285714,530.0,590,530 +Carry,0.9155251141552512,0.9225460122699386,0.919022154316272,1304.0,1314,1304 +accuracy,0.821875,0.821875,0.821875,0.821875,0,0 +macro avg,0.7815470958521225,0.7977812977628667,0.7759467968166995,8000.0,0,0 +weighted avg,0.8217558353595905,0.821875,0.8140473223805739,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c76b2250b7f4847d82faa07ebf96aee4dbb01c5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8937052393516773,0.8720117690327326,0.8827252419955324,2719.0,2653,2719 +Sit to stand,0.6594202898550725,0.43333333333333335,0.5229885057471264,210.0,138,210 +Stand to sit,0.795,0.5145631067961165,0.6247544204322201,309.0,200,309 +Sitting,0.7665369649805448,0.9099307159353349,0.8321013727560718,433.0,514,433 +Stair up,0.8066666666666666,1.0,0.8929889298892989,242.0,300,242 +Stair down,0.797979797979798,0.9753086419753086,0.8777777777777778,243.0,297,243 +Ramp up,0.6626297577854672,0.9341463414634147,0.7753036437246964,410.0,578,410 +Ramp down,0.8928571428571429,0.5506607929515418,0.6811989100817438,454.0,280,454 +Grass walking,0.9285714285714286,0.9710843373493976,0.9493521790341578,415.0,434,415 +Uneven ground walking,0.918918918918919,1.0,0.9577464788732394,510.0,555,510 +Carry,0.9347133757961783,0.9317460317460318,0.9332273449920508,1260.0,1256,1260 +accuracy,0.8624566273421235,0.8624566273421235,0.8624566273421235,0.8624566273421235,0,0 +macro avg,0.8233635984329905,0.8266168245984737,0.8118331641185378,7205.0,0,0 +weighted avg,0.8666107876896512,0.8624566273421235,0.8574804944984932,7205.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb3872ee38e384c6456a9676bcdaa8a64aa15eb6 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4542124542124542,0.47876447876447875,0.46616541353383456,259.0,273,259 +Sit to stand,0.417910447761194,0.19444444444444445,0.26540284360189575,144.0,67,144 +Stand to sit,0.45794392523364486,0.3333333333333333,0.3858267716535433,147.0,107,147 +Sitting,0.3656716417910448,0.6125,0.45794392523364486,80.0,134,80 +Stair up,0.5135135135135135,0.95,0.6666666666666666,20.0,37,20 +Stair down,0.5185185185185185,0.7,0.5957446808510638,20.0,27,20 +Ramp up,0.5,0.5,0.5,20.0,20,20 +Ramp down,0.5333333333333333,0.38095238095238093,0.4444444444444444,21.0,15,21 +Grass walking,0.5,0.55,0.5238095238095238,20.0,22,20 +Uneven ground walking,0.5714285714285714,1.0,0.7272727272727273,20.0,35,20 +Carry,0.5,0.6590909090909091,0.5686274509803921,44.0,58,44 +accuracy,0.4540880503144654,0.4540880503144654,0.4540880503144654,0.4540880503144654,0,0 +macro avg,0.4847756732538432,0.5780986860532316,0.5092640407316125,795.0,0,0 +weighted avg,0.4524035604282755,0.4540880503144654,0.4363895775901495,795.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..66fe231b3e56b985f04655eb9090d216681c9029 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2438,1,52,35,86,65,41,37,56,65,102 +Sit to stand,65,122,8,156,0,0,0,0,0,0,0 +Stand to sit,171,10,146,129,0,0,0,0,0,1,0 +Sitting,19,47,5,445,0,0,0,0,0,0,0 +Stair up,2,0,0,0,259,0,0,0,0,0,0 +Stair down,20,1,0,1,0,244,0,0,0,0,0 +Ramp up,19,0,0,2,4,0,399,3,0,0,0 +Ramp down,40,0,3,2,0,0,174,253,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,410,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,525,0 +Carry,120,0,0,0,0,0,0,0,0,0,1189 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab22d22695e45693066927e490811d5d53430750 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2323,0,25,19,66,53,30,29,46,50,76 +Sit to stand,30,77,4,93,0,0,0,0,0,0,0 +Stand to sit,122,3,111,70,0,0,0,0,0,1,0 +Sitting,9,29,2,390,0,0,0,0,0,0,0 +Stair up,1,0,0,0,239,0,0,0,0,0,0 +Stair down,12,1,0,1,0,232,0,0,0,0,0 +Ramp up,16,0,0,2,4,0,385,3,0,0,0 +Ramp down,29,0,3,2,0,0,173,245,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,400,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,509,0 +Carry,103,0,0,0,0,0,0,0,0,0,1161 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cdd43156aaa2546dac7f843b7d483669211ad2ab --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,115,1,27,16,20,12,11,8,10,15,26 +Sit to stand,35,45,4,63,0,0,0,0,0,0,0 +Stand to sit,49,7,35,59,0,0,0,0,0,0,0 +Sitting,10,18,3,55,0,0,0,0,0,0,0 +Stair up,1,0,0,0,20,0,0,0,0,0,0 +Stair down,8,0,0,0,0,12,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,14,0,0,0,0 +Ramp down,11,0,0,0,0,0,1,8,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,16,0 +Carry,17,0,0,0,0,0,0,0,0,0,28 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..df3a45244a381fa7b780098422006cd574c45168 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8343600273785079,0.8186702484889188,0.8264406779661017,2978.0,2922,2978 +Sit to stand,0.6740331491712708,0.3475783475783476,0.45864661654135336,351.0,181,351 +Stand to sit,0.6822429906542056,0.31947483588621445,0.43517138599105815,457.0,214,457 +Sitting,0.577922077922078,0.8624031007751938,0.6920684292379471,516.0,770,516 +Stair up,0.7421203438395415,0.9923371647509579,0.8491803278688524,261.0,349,261 +Stair down,0.7896440129449838,0.9172932330827067,0.8486956521739131,266.0,309,266 +Ramp up,0.6498371335504886,0.9344262295081968,0.7665706051873199,427.0,614,427 +Ramp down,0.863481228668942,0.5360169491525424,0.661437908496732,472.0,293,472 +Grass walking,0.8798283261802575,0.9468822170900693,0.9121245828698554,433.0,466,433 +Uneven ground walking,0.8883248730964467,0.9905660377358491,0.936663693131133,530.0,591,530 +Carry,0.9209914794732765,0.9083269671504965,0.9146153846153846,1309.0,1291,1309 +accuracy,0.80375,0.80375,0.80375,0.80375,0,0 +macro avg,0.7729805129890909,0.7794523028363176,0.7546922967345139,8000.0,0,0 +weighted avg,0.8096800804475063,0.80375,0.7942040780943652,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5a0d42a6f01bb71215b9dcb4a04dd8986f2184d9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8736367055283941,0.8549871181450129,0.8642113095238095,2717.0,2659,2717 +Sit to stand,0.7,0.37745098039215685,0.49044585987261147,204.0,110,204 +Stand to sit,0.7655172413793103,0.36156351791530944,0.4911504424778761,307.0,145,307 +Sitting,0.6759098786828422,0.9069767441860465,0.7745779543197616,430.0,577,430 +Stair up,0.7734627831715211,0.9958333333333333,0.8706739526411658,240.0,309,240 +Stair down,0.8140350877192982,0.943089430894309,0.8738229755178908,246.0,285,246 +Ramp up,0.6547619047619048,0.9390243902439024,0.7715430861723447,410.0,588,410 +Ramp down,0.8844765342960289,0.5420353982300885,0.6721536351165981,452.0,277,452 +Grass walking,0.8968609865470852,0.9685230024213075,0.9313154831199069,413.0,446,413 +Uneven ground walking,0.9089285714285714,0.9980392156862745,0.9514018691588785,510.0,560,510 +Carry,0.9385610347615198,0.9185126582278481,0.9284286285485805,1264.0,1237,1264 +accuracy,0.8441540386486862,0.8441540386486862,0.8441540386486862,0.8441540386486862,0,0 +macro avg,0.8078318843887705,0.8005487081523263,0.7836113814972204,7193.0,0,0 +weighted avg,0.8503466913197686,0.8441540386486862,0.8368434773930222,7193.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..7febae2a94adce1dded6622f4e71307f65c2dfca --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4372623574144487,0.44061302681992337,0.4389312977099237,261.0,263,261 +Sit to stand,0.6338028169014085,0.30612244897959184,0.41284403669724773,147.0,71,147 +Stand to sit,0.5072463768115942,0.23333333333333334,0.319634703196347,150.0,69,150 +Sitting,0.2849740932642487,0.6395348837209303,0.3942652329749104,86.0,193,86 +Stair up,0.5,0.9523809523809523,0.6557377049180327,21.0,40,21 +Stair down,0.5,0.6,0.5454545454545454,20.0,24,20 +Ramp up,0.5384615384615384,0.8235294117647058,0.6511627906976745,17.0,26,17 +Ramp down,0.5,0.4,0.4444444444444444,20.0,16,20 +Grass walking,0.5,0.5,0.5,20.0,20,20 +Uneven ground walking,0.5161290322580645,0.8,0.6274509803921569,20.0,31,20 +Carry,0.5185185185185185,0.6222222222222222,0.5656565656565656,45.0,54,45 +accuracy,0.4436183395291202,0.4436183395291202,0.4436183395291202,0.4436183395291202,0,0 +macro avg,0.49421770305725643,0.5743396617474236,0.5050529365583499,807.0,0,0 +weighted avg,0.4847570979485545,0.4436183395291202,0.4333865696624379,807.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..61f792e10de568a58d503ace47405196d7a87709 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2401,13,31,49,73,57,39,61,59,70,127 +Sit to stand,126,28,0,197,0,0,0,0,0,0,0 +Stand to sit,200,16,103,136,0,0,0,0,0,1,0 +Sitting,72,10,0,433,0,0,0,0,0,0,0 +Stair up,5,0,0,1,255,0,0,0,0,0,0 +Stair down,21,0,0,1,0,244,0,0,0,0,0 +Ramp up,23,0,0,2,2,6,393,1,0,0,0 +Ramp down,42,0,0,7,0,0,179,244,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,420,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,511,0 +Carry,113,0,0,0,0,0,0,0,0,0,1196 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..39463c4283a467613322d5b33459ee01156c691f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2273,8,20,29,55,47,28,50,49,58,102 +Sit to stand,70,14,0,120,0,0,0,0,0,0,0 +Stand to sit,127,7,87,84,0,0,0,0,0,1,0 +Sitting,43,4,0,381,0,0,0,0,0,0,0 +Stair up,3,0,0,1,236,0,0,0,0,0,0 +Stair down,12,0,0,1,0,233,0,0,0,0,0 +Ramp up,17,0,0,1,2,4,385,1,0,0,0 +Ramp down,31,0,0,7,0,0,178,236,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,407,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,501,0 +Carry,100,0,0,0,0,0,0,0,0,0,1164 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..504a2f8b15034bc23517b0d31d0f8c72629d234a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,128,5,11,20,18,10,11,11,10,12,25 +Sit to stand,56,14,0,77,0,0,0,0,0,0,0 +Stand to sit,73,9,16,52,0,0,0,0,0,0,0 +Sitting,29,6,0,52,0,0,0,0,0,0,0 +Stair up,2,0,0,0,19,0,0,0,0,0,0 +Stair down,9,0,0,0,0,11,0,0,0,0,0 +Ramp up,6,0,0,1,0,2,8,0,0,0,0 +Ramp down,11,0,0,0,0,0,1,8,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,10,0 +Carry,13,0,0,0,0,0,0,0,0,0,32 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..aca664a9fbba8317e7484b08c0c3ded11afad693 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7911037891268534,0.8057046979865772,0.7983374896093101,2980.0,3035,2980 +Sit to stand,0.417910447761194,0.07977207977207977,0.1339712918660287,351.0,67,351 +Stand to sit,0.7686567164179104,0.22587719298245615,0.34915254237288135,456.0,134,456 +Sitting,0.5242130750605327,0.8407766990291262,0.6457867263236391,515.0,826,515 +Stair up,0.7727272727272727,0.9770114942528736,0.8629441624365483,261.0,330,261 +Stair down,0.7947882736156352,0.9172932330827067,0.8516579406631762,266.0,307,266 +Ramp up,0.6432078559738135,0.9203747072599532,0.7572254335260116,427.0,611,427 +Ramp down,0.7973856209150327,0.5169491525423728,0.6272493573264781,472.0,306,472 +Grass walking,0.8768267223382046,0.9699769053117783,0.9210526315789473,433.0,479,433 +Uneven ground walking,0.8780068728522337,0.9641509433962264,0.9190647482014388,530.0,582,530 +Carry,0.9040060468631897,0.9136745607333843,0.9088145896656535,1309.0,1323,1309 +accuracy,0.7785,0.7785,0.7785,0.7785,0,0 +macro avg,0.7426211539683522,0.7392328787590485,0.7068415375972831,8000.0,0,0 +weighted avg,0.7771397312961597,0.7785,0.758073520642283,8000.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..74741f39a309ec362acac5f9f12688e227a5f9eb --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8446674098848012,0.8359691062890768,0.8402957486136784,2719.0,2691,2719 +Sit to stand,0.42424242424242425,0.06862745098039216,0.11814345991561181,204.0,33,204 +Stand to sit,0.8130841121495327,0.28431372549019607,0.4213075060532688,306.0,107,306 +Sitting,0.6105769230769231,0.8901869158878505,0.7243346007604563,428.0,624,428 +Stair up,0.8054607508532423,0.9833333333333333,0.8855534709193246,240.0,293,240 +Stair down,0.8204225352112676,0.9471544715447154,0.879245283018868,246.0,284,246 +Ramp up,0.6514382402707276,0.9390243902439024,0.7692307692307693,410.0,591,410 +Ramp down,0.8222996515679443,0.5221238938053098,0.638700947225981,452.0,287,452 +Grass walking,0.8925438596491229,0.9854721549636803,0.9367088607594937,413.0,456,413 +Uneven ground walking,0.8946428571428572,0.9823529411764705,0.9364485981308411,510.0,560,510 +Carry,0.919431279620853,0.9208860759493671,0.9201581027667984,1264.0,1266,1264 +accuracy,0.8227196885428254,0.8227196885428254,0.8227196885428254,0.8227196885428254,0,0 +macro avg,0.7726190948790633,0.7599494963331178,0.733647940672281,7192.0,0,0 +weighted avg,0.8223414984596873,0.8227196885428254,0.807596595507901,7192.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..36b11d0bb6beb1f553c9aac0695136776fb47894 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject07/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.37209302325581395,0.4904214559386973,0.4231404958677686,261.0,344,261 +Sit to stand,0.4117647058823529,0.09523809523809523,0.15469613259668508,147.0,34,147 +Stand to sit,0.5925925925925926,0.10666666666666667,0.1807909604519774,150.0,27,150 +Sitting,0.25742574257425743,0.5977011494252874,0.35986159169550175,87.0,202,87 +Stair up,0.5135135135135135,0.9047619047619048,0.6551724137931034,21.0,37,21 +Stair down,0.4782608695652174,0.55,0.5116279069767442,20.0,23,20 +Ramp up,0.4,0.47058823529411764,0.43243243243243246,17.0,20,17 +Ramp down,0.42105263157894735,0.4,0.41025641025641024,20.0,19,20 +Grass walking,0.5652173913043478,0.65,0.6046511627906976,20.0,23,20 +Uneven ground walking,0.45454545454545453,0.5,0.47619047619047616,20.0,22,20 +Carry,0.5614035087719298,0.7111111111111111,0.6274509803921569,45.0,57,45 +accuracy,0.3849009900990099,0.3849009900990099,0.3849009900990099,0.3849009900990099,0,0 +macro avg,0.4570790394167661,0.49786260167598917,0.43966099667672315,808.0,0,0 +weighted avg,0.43336520785361693,0.3849009900990099,0.34778018408594763,808.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..15151f3e00f1f2e18e4e32e3ff1a0b2f6108bdb9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1095,2,11,7,23,14,1,10,17,18,42 +Sit to stand,42,112,6,15,0,0,0,0,0,0,0 +Stand to sit,19,55,105,19,0,0,0,0,0,0,0 +Sitting,5,33,2,177,0,0,0,0,0,0,0 +Stair up,13,0,0,0,144,0,0,0,0,0,0 +Stair down,7,0,0,0,0,89,0,0,0,0,0 +Ramp up,12,0,0,0,2,0,147,0,0,0,0 +Ramp down,12,0,2,0,1,0,0,183,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,161,0 +Carry,24,0,0,0,0,0,0,0,0,0,670 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab6f420ca02afbe169236fbe41bc415b3471da62 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1027,0,4,7,16,8,1,5,10,8,28 +Sit to stand,17,93,4,4,0,0,0,0,0,0,0 +Stand to sit,7,39,90,6,0,0,0,0,0,0,0 +Sitting,5,22,1,148,0,0,0,0,0,0,0 +Stair up,10,0,0,0,135,0,0,0,0,0,0 +Stair down,3,0,0,0,0,83,0,0,0,0,0 +Ramp up,4,0,0,0,2,0,145,0,0,0,0 +Ramp down,6,0,2,0,0,0,0,178,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,149,0 +Carry,17,0,0,0,0,0,0,0,0,0,653 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..df509fb6cb02d58f00f690d7bbe92594c7b19df7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,68,2,7,0,7,6,0,5,7,10,14 +Sit to stand,25,19,2,11,0,0,0,0,0,0,0 +Stand to sit,12,16,15,13,0,0,0,0,0,0,0 +Sitting,0,11,1,29,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,6,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,2,0,0,0,0 +Ramp down,6,0,0,0,1,0,0,5,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,12,0 +Carry,7,0,0,0,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3516af6062bfbe739097a2cf1ef8221ce4a62d79 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8852061438965239,0.8830645161290323,0.884134033104562,1240.0,1237,1240 +Sit to stand,0.5544554455445545,0.64,0.5941644562334217,175.0,202,175 +Stand to sit,0.8333333333333334,0.5303030303030303,0.6481481481481481,198.0,126,198 +Sitting,0.8119266055045872,0.815668202764977,0.8137931034482758,217.0,218,217 +Stair up,0.8470588235294118,0.9171974522292994,0.8807339449541285,157.0,170,157 +Stair down,0.8640776699029126,0.9270833333333334,0.8944723618090452,96.0,103,96 +Ramp up,0.9932432432432432,0.9130434782608695,0.9514563106796117,161.0,148,161 +Ramp down,0.9481865284974094,0.9242424242424242,0.9360613810741688,198.0,193,198 +Grass walking,0.915,0.9786096256684492,0.9457364341085271,187.0,200,187 +Uneven ground walking,0.8994413407821229,0.9757575757575757,0.936046511627907,165.0,179,165 +Carry,0.9410112359550562,0.9654178674351584,0.9530583214793741,694.0,712,694 +accuracy,0.8790137614678899,0.8790137614678899,0.8790137614678899,0.8790137614678899,0,0 +macro avg,0.862994579108105,0.860944318738559,0.857982273333379,3488.0,0,0 +weighted avg,0.8807456422556731,0.8790137614678899,0.877472326817451,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..21a2583c9ce2b84b32281a70bf13986cec300781 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.932788374205268,0.921903052064632,0.927313769751693,1114.0,1101,1114 +Sit to stand,0.6038961038961039,0.788135593220339,0.6838235294117647,118.0,154,118 +Stand to sit,0.8910891089108911,0.6338028169014085,0.7407407407407407,142.0,101,142 +Sitting,0.896969696969697,0.8409090909090909,0.8680351906158358,176.0,165,176 +Stair up,0.8823529411764706,0.9310344827586207,0.9060402684563759,145.0,153,145 +Stair down,0.9120879120879121,0.9651162790697675,0.9378531073446328,86.0,91,86 +Ramp up,0.9931506849315068,0.9602649006622517,0.9764309764309764,151.0,146,151 +Ramp down,0.9726775956284153,0.956989247311828,0.964769647696477,186.0,183,186 +Grass walking,0.9456521739130435,0.9942857142857143,0.9693593314763231,175.0,184,175 +Uneven ground walking,0.9490445859872612,0.9738562091503268,0.9612903225806452,153.0,157,153 +Carry,0.9588839941262849,0.9746268656716418,0.9666913397483345,670.0,681,670 +accuracy,0.9226572528883183,0.9226572528883183,0.9226572528883183,0.9226572528883183,0,0 +macro avg,0.9035084701666232,0.9037203865459655,0.9002134749321636,3116.0,0,0 +weighted avg,0.9259297370133369,0.9226572528883183,0.9226559797087809,3116.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc3c67cbbfab7e52ec59e80e6cbd45b65f0065e8 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5,0.5396825396825397,0.5190839694656488,126.0,136,126 +Sit to stand,0.3958333333333333,0.3333333333333333,0.3619047619047619,57.0,48,57 +Stand to sit,0.6,0.26785714285714285,0.37037037037037035,56.0,25,56 +Sitting,0.5471698113207547,0.7073170731707317,0.6170212765957447,41.0,53,41 +Stair up,0.5294117647058824,0.75,0.6206896551724138,12.0,17,12 +Stair down,0.5,0.6,0.5454545454545454,10.0,12,10 +Ramp up,1.0,0.2,0.3333333333333333,10.0,2,10 +Ramp down,0.5,0.4166666666666667,0.45454545454545453,12.0,10,12 +Grass walking,0.5625,0.75,0.6428571428571429,12.0,16,12 +Uneven ground walking,0.5454545454545454,1.0,0.7058823529411765,12.0,22,12 +Carry,0.5483870967741935,0.7083333333333334,0.6181818181818182,24.0,31,24 +accuracy,0.5134408602150538,0.5134408602150538,0.5134408602150538,0.5134408602150538,0,0 +macro avg,0.5662505955989736,0.5702900080948861,0.5263022437111282,372.0,0,0 +weighted avg,0.5252853449157439,0.5134408602150538,0.49673038266894126,372.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e6528b8dfa696420729758b35f9da916af9743a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1104,2,10,9,19,11,2,6,17,18,44 +Sit to stand,38,115,6,19,0,0,0,0,0,0,0 +Stand to sit,28,48,103,11,0,0,0,0,0,0,0 +Sitting,5,37,3,178,0,0,0,0,0,0,0 +Stair up,14,0,0,0,141,0,0,0,0,0,0 +Stair down,8,0,0,0,0,87,0,0,0,0,0 +Ramp up,15,0,0,0,2,0,145,0,0,0,0 +Ramp down,13,0,2,0,0,0,0,186,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,180,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,161,0 +Carry,21,0,0,0,0,0,0,0,0,0,670 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a2e3de26bc3c2f58ee216961812ecf612b53b4d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1028,2,4,9,14,6,0,2,10,9,31 +Sit to stand,14,94,5,7,0,0,0,0,0,0,0 +Stand to sit,12,34,88,1,0,0,0,0,0,0,0 +Sitting,5,21,1,150,0,0,0,0,0,0,0 +Stair up,11,0,0,0,132,0,0,0,0,0,0 +Stair down,4,0,0,0,0,81,0,0,0,0,0 +Ramp up,7,0,0,0,2,0,143,0,0,0,0 +Ramp down,6,0,2,0,0,0,0,181,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,150,0 +Carry,13,0,0,0,0,0,0,0,0,0,653 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..71fed8121dcafac590653c2fa1817b23b2278638 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,76,0,6,0,5,5,2,4,7,9,13 +Sit to stand,24,21,1,12,0,0,0,0,0,0,0 +Stand to sit,16,14,15,10,0,0,0,0,0,0,0 +Sitting,0,16,2,28,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,6,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,2,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,5,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,11,0 +Carry,8,0,0,0,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..531d83b3d6d10dc9e608ad97661a310280f75cc1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8789808917197452,0.8888888888888888,0.8839071257005604,1242.0,1256,1242 +Sit to stand,0.5693069306930693,0.6460674157303371,0.6052631578947368,178.0,202,178 +Stand to sit,0.8306451612903226,0.5421052631578948,0.6560509554140127,190.0,124,190 +Sitting,0.8202764976958525,0.7982062780269058,0.8090909090909091,223.0,217,223 +Stair up,0.8703703703703703,0.9096774193548387,0.889589905362776,155.0,162,155 +Stair down,0.8877551020408163,0.9157894736842105,0.9015544041450777,95.0,98,95 +Ramp up,0.9863945578231292,0.8950617283950617,0.9385113268608414,162.0,147,162 +Ramp down,0.96875,0.9253731343283582,0.9465648854961832,201.0,192,201 +Grass walking,0.9137055837563451,0.972972972972973,0.9424083769633508,185.0,197,185 +Uneven ground walking,0.8994413407821229,0.9698795180722891,0.9333333333333333,166.0,179,166 +Carry,0.938375350140056,0.9696092619392185,0.9537366548042705,691.0,714,691 +accuracy,0.8801605504587156,0.8801605504587156,0.8801605504587156,0.8801605504587156,0,0 +macro avg,0.8694547078465301,0.8576028504137252,0.8600010031878228,3488.0,0,0 +weighted avg,0.8813916610638742,0.8801605504587156,0.8786610776043005,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0f3c89edf071ff14938ad7de3270c3e183c2e20c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9294755877034359,0.9219730941704036,0.9257091400270149,1115.0,1106,1115 +Sit to stand,0.6225165562913907,0.7833333333333333,0.6937269372693727,120.0,151,120 +Stand to sit,0.88,0.6518518518518519,0.7489361702127659,135.0,100,135 +Sitting,0.8982035928143712,0.847457627118644,0.872093023255814,177.0,167,177 +Stair up,0.8918918918918919,0.9230769230769231,0.9072164948453608,143.0,148,143 +Stair down,0.9310344827586207,0.9529411764705882,0.9418604651162791,85.0,87,85 +Ramp up,1.0,0.9407894736842105,0.9694915254237289,152.0,143,152 +Ramp down,0.9890710382513661,0.9576719576719577,0.9731182795698925,189.0,183,189 +Grass walking,0.9447513812154696,0.9884393063583815,0.9661016949152542,173.0,181,173 +Uneven ground walking,0.9433962264150944,0.974025974025974,0.9584664536741214,154.0,159,154 +Carry,0.9546783625730995,0.9804804804804805,0.9674074074074074,666.0,684,666 +accuracy,0.9234480540366677,0.9234480540366677,0.9234480540366677,0.9234480540366677,0,0 +macro avg,0.9077290109013401,0.9020037452947953,0.9021934174288192,3109.0,0,0 +weighted avg,0.9260221930102469,0.9234480540366677,0.9234431319130981,3109.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b21a4016c3ce6afad977125d939366fe0444099d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5066666666666667,0.5984251968503937,0.5487364620938628,127.0,150,127 +Sit to stand,0.4117647058823529,0.3620689655172414,0.3853211009174312,58.0,51,58 +Stand to sit,0.625,0.2727272727272727,0.379746835443038,55.0,24,55 +Sitting,0.56,0.6086956521739131,0.5833333333333334,46.0,50,46 +Stair up,0.6428571428571429,0.75,0.6923076923076923,12.0,14,12 +Stair down,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Ramp up,0.5,0.2,0.2857142857142857,10.0,4,10 +Ramp down,0.5555555555555556,0.4166666666666667,0.47619047619047616,12.0,9,12 +Grass walking,0.5625,0.75,0.6428571428571429,12.0,16,12 +Uneven ground walking,0.55,0.9166666666666666,0.6875,12.0,20,12 +Carry,0.5666666666666667,0.68,0.6181818181818182,25.0,30,25 +accuracy,0.525065963060686,0.525065963060686,0.525065963060686,0.525065963060686,0,0 +macro avg,0.5478604802802663,0.5595682200547413,0.533756156224332,379.0,0,0 +weighted avg,0.5295941533245584,0.525065963060686,0.5112659672402897,379.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..40f92a58ae3255c8dda5a941bab2a1aadde6cd46 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1112,0,10,10,22,5,5,5,16,14,41 +Sit to stand,38,113,6,20,0,0,0,0,0,0,0 +Stand to sit,39,45,103,11,0,0,0,0,0,0,0 +Sitting,7,37,2,171,0,0,0,0,0,0,0 +Stair up,12,0,0,0,142,0,0,0,0,0,0 +Stair down,11,0,0,0,0,84,0,0,0,0,0 +Ramp up,13,0,0,0,2,0,146,0,0,0,0 +Ramp down,11,0,0,2,0,0,0,186,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,155,0 +Carry,24,0,0,0,0,0,0,0,0,0,669 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..92ed4c60962575f1262a9d4c713fcb8083228192 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1036,0,4,10,14,2,2,1,9,8,28 +Sit to stand,14,90,5,10,0,0,0,0,0,0,0 +Stand to sit,21,31,88,2,0,0,0,0,0,0,0 +Sitting,7,23,1,145,0,0,0,0,0,0,0 +Stair up,9,0,0,0,133,0,0,0,0,0,0 +Stair down,7,0,0,0,0,77,0,0,0,0,0 +Ramp up,8,0,0,0,2,0,141,0,0,0,0 +Ramp down,7,0,0,1,0,0,0,180,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,148,0 +Carry,16,0,0,0,0,0,0,0,0,0,654 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ceff1fc061a38d3a84c1c568cc4a4415578c08f0 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,76,0,6,0,8,3,3,4,7,6,13 +Sit to stand,24,23,1,10,0,0,0,0,0,0,0 +Stand to sit,18,14,15,9,0,0,0,0,0,0,0 +Sitting,0,14,1,26,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,4,0,0,0,0,7,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,5,0,0,0,0 +Ramp down,4,0,0,1,0,0,0,6,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,7,0 +Carry,8,0,0,0,0,0,0,0,0,0,15 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e482f37328d360d9523ce70d7894b8e6fb939bbd --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8667186282151208,0.896774193548387,0.8814902893380896,1240.0,1283,1240 +Sit to stand,0.5794871794871795,0.6384180790960452,0.6075268817204301,177.0,195,177 +Stand to sit,0.8512396694214877,0.5202020202020202,0.64576802507837,198.0,121,198 +Sitting,0.7990654205607477,0.7880184331797235,0.7935034802784223,217.0,214,217 +Stair up,0.8554216867469879,0.922077922077922,0.8875,154.0,166,154 +Stair down,0.9438202247191011,0.8842105263157894,0.9130434782608695,95.0,89,95 +Ramp up,0.9668874172185431,0.906832298136646,0.9358974358974359,161.0,151,161 +Ramp down,0.9738219895287958,0.9346733668341709,0.9538461538461539,199.0,191,199 +Grass walking,0.9195979899497487,0.973404255319149,0.9457364341085271,188.0,199,188 +Uneven ground walking,0.9171597633136095,0.9337349397590361,0.9253731343283582,166.0,169,166 +Carry,0.9422535211267605,0.9653679653679653,0.9536707056307911,693.0,710,693 +accuracy,0.8784403669724771,0.8784403669724771,0.8784403669724771,0.8784403669724771,0,0 +macro avg,0.8741339536625529,0.851246727257896,0.8584869107715861,3488.0,0,0 +weighted avg,0.8796487742890887,0.8784403669724771,0.8763892580769452,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3dce75d0f4f8e3579dd1b6289bcc78cb87b96b67 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9143865842894969,0.9299820466786356,0.9221183800623053,1114.0,1133,1114 +Sit to stand,0.625,0.7563025210084033,0.6844106463878327,119.0,144,119 +Stand to sit,0.8979591836734694,0.6197183098591549,0.7333333333333333,142.0,98,142 +Sitting,0.8630952380952381,0.8238636363636364,0.8430232558139535,176.0,168,176 +Stair up,0.8926174496644296,0.9366197183098591,0.9140893470790378,142.0,149,142 +Stair down,0.9746835443037974,0.9166666666666666,0.9447852760736196,84.0,79,84 +Ramp up,0.986013986013986,0.9337748344370861,0.9591836734693877,151.0,143,151 +Ramp down,0.994475138121547,0.9574468085106383,0.975609756097561,188.0,181,188 +Grass walking,0.9508196721311475,0.9886363636363636,0.9693593314763231,176.0,183,176 +Uneven ground walking,0.9487179487179487,0.961038961038961,0.9548387096774194,154.0,156,154 +Carry,0.9589442815249267,0.9761194029850746,0.9674556213017751,670.0,682,670 +accuracy,0.9197689345314506,0.9197689345314506,0.9197689345314506,0.9197689345314506,0,0 +macro avg,0.9097011842305445,0.8909244790449528,0.897109757342959,3116.0,0,0 +weighted avg,0.921961055626788,0.9197689345314506,0.9192720981656355,3116.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d58d254ee93c9dd9e629334934fc97c0295b76c0 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5066666666666667,0.6031746031746031,0.5507246376811594,126.0,150,126 +Sit to stand,0.45098039215686275,0.39655172413793105,0.42201834862385323,58.0,51,58 +Stand to sit,0.6521739130434783,0.26785714285714285,0.379746835443038,56.0,23,56 +Sitting,0.5652173913043478,0.6341463414634146,0.5977011494252874,41.0,46,41 +Stair up,0.5294117647058824,0.75,0.6206896551724138,12.0,17,12 +Stair down,0.7,0.6363636363636364,0.6666666666666666,11.0,10,11 +Ramp up,0.625,0.5,0.5555555555555556,10.0,8,10 +Ramp down,0.6,0.5454545454545454,0.5714285714285714,11.0,10,11 +Grass walking,0.5625,0.75,0.6428571428571429,12.0,16,12 +Uneven ground walking,0.5384615384615384,0.5833333333333334,0.56,12.0,13,12 +Carry,0.5357142857142857,0.6521739130434783,0.5882352941176471,23.0,28,23 +accuracy,0.532258064516129,0.532258064516129,0.532258064516129,0.532258064516129,0,0 +macro avg,0.5696478138230057,0.5744595672570987,0.5596021688155759,372.0,0,0 +weighted avg,0.5433559761517438,0.532258064516129,0.5221142876207534,372.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..acf714baa473876b4c1b8eced7b8005a9d34e89d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1121,1,7,10,16,6,3,8,18,9,40 +Sit to stand,39,105,5,28,0,0,0,0,0,0,0 +Stand to sit,54,33,99,10,0,0,0,0,0,0,0 +Sitting,7,44,2,164,0,0,0,0,0,0,0 +Stair up,12,0,0,0,145,0,0,0,0,0,0 +Stair down,10,0,0,0,0,85,0,0,0,0,0 +Ramp up,12,0,0,0,2,0,149,0,0,0,0 +Ramp down,9,0,0,2,0,0,0,189,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,158,0 +Carry,22,0,0,0,0,0,0,0,0,0,670 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f7f37e674835ea19156610f3c044a2f8c8b89568 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1042,0,4,10,8,3,2,5,10,3,27 +Sit to stand,18,86,5,13,0,0,0,0,0,0,0 +Stand to sit,33,20,84,2,0,0,0,0,0,0,0 +Sitting,7,30,0,138,0,0,0,0,0,0,0 +Stair up,9,0,0,0,136,0,0,0,0,0,0 +Stair down,5,0,0,0,0,80,0,0,0,0,0 +Ramp up,7,0,0,0,2,0,144,0,0,0,0 +Ramp down,5,0,0,1,0,0,0,182,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,150,0 +Carry,15,0,0,0,0,0,0,0,0,0,655 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..03b85c9ca5e074b5c9da5c704f5cfbae699e4db2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,79,1,3,0,8,3,1,3,8,6,13 +Sit to stand,21,19,0,15,0,0,0,0,0,0,0 +Stand to sit,21,13,15,8,0,0,0,0,0,0,0 +Sitting,0,14,2,26,0,0,0,0,0,0,0 +Stair up,3,0,0,0,9,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,5,0,0,0,0 +Ramp down,4,0,0,1,0,0,0,7,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,8,0 +Carry,7,0,0,0,0,0,0,0,0,0,15 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..63b464382ef1cd734f4049322deea1afafb6dfd2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8643022359290671,0.9047619047619048,0.8840694006309149,1239.0,1297,1239 +Sit to stand,0.5737704918032787,0.5932203389830508,0.5833333333333334,177.0,183,177 +Stand to sit,0.8761061946902655,0.5051020408163265,0.6407766990291263,196.0,113,196 +Sitting,0.7663551401869159,0.7557603686635944,0.7610208816705336,217.0,214,217 +Stair up,0.8895705521472392,0.9235668789808917,0.90625,157.0,163,157 +Stair down,0.9340659340659341,0.8947368421052632,0.9139784946236559,95.0,91,95 +Ramp up,0.9802631578947368,0.9141104294478528,0.946031746031746,163.0,152,163 +Ramp down,0.9593908629441624,0.945,0.9521410579345088,200.0,197,200 +Grass walking,0.9104477611940298,0.9838709677419355,0.9457364341085271,186.0,201,186 +Uneven ground walking,0.9461077844311377,0.9518072289156626,0.948948948948949,166.0,167,166 +Carry,0.9436619718309859,0.9682080924855492,0.9557774607703281,692.0,710,692 +accuracy,0.8795871559633027,0.8795871559633027,0.8795871559633027,0.8795871559633027,0,0 +macro avg,0.8767310988288867,0.8491040993547301,0.858005859734693,3488.0,0,0 +weighted avg,0.8801361510891349,0.8795871559633027,0.8766963446146847,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d42bf658a7a01aa228aa1c68daf6804041d7dbff --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9092495636998255,0.9353680430879713,0.9221238938053097,1114.0,1146,1114 +Sit to stand,0.6323529411764706,0.7049180327868853,0.6666666666666666,122.0,136,122 +Stand to sit,0.9032258064516129,0.60431654676259,0.7241379310344828,139.0,93,139 +Sitting,0.8414634146341463,0.7885714285714286,0.8141592920353983,175.0,164,175 +Stair up,0.9315068493150684,0.9379310344827586,0.9347079037800687,145.0,146,145 +Stair down,0.963855421686747,0.9411764705882353,0.9523809523809523,85.0,83,85 +Ramp up,0.9863013698630136,0.9411764705882353,0.9632107023411371,153.0,146,153 +Ramp down,0.9732620320855615,0.9680851063829787,0.9706666666666667,188.0,187,188 +Grass walking,0.9456521739130435,1.0,0.9720670391061452,174.0,184,174 +Uneven ground walking,0.9803921568627451,0.967741935483871,0.974025974025974,155.0,153,155 +Carry,0.9604105571847508,0.9776119402985075,0.9689349112426036,670.0,682,670 +accuracy,0.9201923076923076,0.9201923076923076,0.9201923076923076,0.9201923076923076,0,0 +macro avg,0.9116065715339077,0.8878997280939511,0.8966438120986733,3120.0,0,0 +weighted avg,0.921060406713605,0.9201923076923076,0.9190237431588122,3120.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..90b77f5783c3237f34bf88cd46dc8b3fc4e91c88 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5231788079470199,0.632,0.572463768115942,125.0,151,125 +Sit to stand,0.40425531914893614,0.34545454545454546,0.37254901960784315,55.0,47,55 +Stand to sit,0.75,0.2631578947368421,0.38961038961038963,57.0,20,57 +Sitting,0.52,0.6190476190476191,0.5652173913043478,42.0,50,42 +Stair up,0.5294117647058824,0.75,0.6206896551724138,12.0,17,12 +Stair down,0.625,0.5,0.5555555555555556,10.0,8,10 +Ramp up,0.8333333333333334,0.5,0.625,10.0,6,10 +Ramp down,0.7,0.5833333333333334,0.6363636363636364,12.0,10,12 +Grass walking,0.5294117647058824,0.75,0.6206896551724138,12.0,17,12 +Uneven ground walking,0.5714285714285714,0.7272727272727273,0.64,11.0,14,11 +Carry,0.5357142857142857,0.6818181818181818,0.6,22.0,28,22 +accuracy,0.5353260869565217,0.5353260869565217,0.5353260869565217,0.5353260869565217,0,0 +macro avg,0.5928848951803555,0.5774622092421136,0.5634671882638674,368.0,0,0 +weighted avg,0.559733798381174,0.5353260869565217,0.523297719161837,368.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..2eaddb9f1305bc3c7865e5f8b88d34422c22db20 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1122,1,4,19,15,8,3,7,15,9,39 +Sit to stand,70,71,2,32,0,0,0,0,0,0,0 +Stand to sit,83,10,84,21,0,0,0,0,0,0,0 +Sitting,14,43,1,157,0,0,0,0,0,0,0 +Stair up,10,0,0,0,147,0,0,0,0,0,0 +Stair down,12,0,0,0,0,84,0,0,0,0,0 +Ramp up,9,0,0,0,2,0,150,0,0,0,0 +Ramp down,10,0,0,1,0,0,0,187,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,159,0 +Carry,27,0,0,0,0,0,0,0,0,0,667 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..698b2b2e02e24354039e8bfc6d27e582ea624c01 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1040,0,2,17,9,5,2,3,9,4,25 +Sit to stand,45,52,1,20,0,0,0,0,0,0,0 +Stand to sit,53,3,76,10,0,0,0,0,0,0,0 +Sitting,9,31,0,134,0,0,0,0,0,0,0 +Stair up,6,0,0,0,139,0,0,0,0,0,0 +Stair down,6,0,0,0,0,80,0,0,0,0,0 +Ramp up,4,0,0,0,2,0,145,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,182,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,150,0 +Carry,18,0,0,0,0,0,0,0,0,0,652 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ce4e2dc6f3b3c8d086f82301a195da5dd44b2e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,82,1,2,2,6,3,1,4,6,5,14 +Sit to stand,25,19,1,12,0,0,0,0,0,0,0 +Stand to sit,30,7,8,11,0,0,0,0,0,0,0 +Sitting,5,12,1,23,0,0,0,0,0,0,0 +Stair up,4,0,0,0,8,0,0,0,0,0,0 +Stair down,6,0,0,0,0,4,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,5,0,0,0,0 +Ramp down,6,0,0,1,0,0,0,5,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,9,0 +Carry,9,0,0,0,0,0,0,0,0,0,15 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3a4713c28b9aacd7dc9ca8c46756226692d1dec --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8207754206291149,0.9033816425120773,0.8600996550402453,1242.0,1367,1242 +Sit to stand,0.568,0.4057142857142857,0.47333333333333333,175.0,125,175 +Stand to sit,0.9230769230769231,0.42424242424242425,0.5813148788927336,198.0,91,198 +Sitting,0.6826086956521739,0.7302325581395349,0.7056179775280899,215.0,230,215 +Stair up,0.8963414634146342,0.9363057324840764,0.9158878504672897,157.0,164,157 +Stair down,0.9130434782608695,0.875,0.8936170212765957,96.0,92,96 +Ramp up,0.9803921568627451,0.9316770186335404,0.9554140127388535,161.0,153,161 +Ramp down,0.9639175257731959,0.9444444444444444,0.9540816326530612,198.0,194,198 +Grass walking,0.9242424242424242,0.9786096256684492,0.9506493506493506,187.0,198,187 +Uneven ground walking,0.9464285714285714,0.9636363636363636,0.954954954954955,165.0,168,165 +Carry,0.9447592067988668,0.9610951008645533,0.9528571428571428,694.0,706,694 +accuracy,0.8632454128440367,0.8632454128440367,0.8632454128440367,0.8632454128440367,0,0 +macro avg,0.8694168969217745,0.8231217451217954,0.8361661645810592,3488.0,0,0 +weighted avg,0.8629778385666301,0.8632454128440367,0.8563126763895215,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5cb82030226f9bfdcb9a87145ea9631294e3d782 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8746846089150546,0.931899641577061,0.9023861171366594,1116.0,1189,1116 +Sit to stand,0.6046511627906976,0.4406779661016949,0.5098039215686274,118.0,86,118 +Stand to sit,0.9620253164556962,0.5352112676056338,0.6877828054298643,142.0,79,142 +Sitting,0.7403314917127072,0.7701149425287356,0.7549295774647887,174.0,181,174 +Stair up,0.9266666666666666,0.9586206896551724,0.9423728813559322,145.0,150,145 +Stair down,0.9411764705882353,0.9302325581395349,0.935672514619883,86.0,85,86 +Ramp up,0.9863945578231292,0.9602649006622517,0.9731543624161074,151.0,147,151 +Ramp down,0.9837837837837838,0.978494623655914,0.9811320754716981,186.0,185,186 +Grass walking,0.9508196721311475,0.9942857142857143,0.9720670391061452,175.0,183,175 +Uneven ground walking,0.974025974025974,0.9803921568627451,0.9771986970684039,153.0,154,153 +Carry,0.9630723781388478,0.9731343283582089,0.9680772086117297,670.0,677,670 +accuracy,0.9062901155327343,0.9062901155327343,0.9062901155327343,0.9062901155327343,0,0 +macro avg,0.9006938257301765,0.8593935263120606,0.8731433818408945,3116.0,0,0 +weighted avg,0.9052751124542705,0.9062901155327343,0.9021265453789834,3116.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c4cb00d1e3ab34cab164b8ebdd87e83c5e90df1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4606741573033708,0.6507936507936508,0.5394736842105263,126.0,178,126 +Sit to stand,0.48717948717948717,0.3333333333333333,0.3958333333333333,57.0,39,57 +Stand to sit,0.6666666666666666,0.14285714285714285,0.23529411764705882,56.0,12,56 +Sitting,0.46938775510204084,0.5609756097560976,0.5111111111111111,41.0,49,41 +Stair up,0.5714285714285714,0.6666666666666666,0.6153846153846154,12.0,14,12 +Stair down,0.5714285714285714,0.4,0.47058823529411764,10.0,7,10 +Ramp up,0.8333333333333334,0.5,0.625,10.0,6,10 +Ramp down,0.5555555555555556,0.4166666666666667,0.47619047619047616,12.0,9,12 +Grass walking,0.6,0.75,0.6666666666666666,12.0,15,12 +Uneven ground walking,0.6428571428571429,0.75,0.6923076923076923,12.0,14,12 +Carry,0.5172413793103449,0.625,0.5660377358490566,24.0,29,24 +accuracy,0.5026881720430108,0.5026881720430108,0.5026881720430108,0.5026881720430108,0,0 +macro avg,0.5796138745604623,0.5269357336430507,0.5267170607267868,372.0,0,0 +weighted avg,0.5303546055675673,0.5026881720430108,0.480149440253304,372.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..af0962144dc323efe85b507abe21b315d7e22501 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1120,0,11,29,8,8,2,16,11,10,29 +Sit to stand,112,11,2,50,0,0,0,0,0,0,0 +Stand to sit,94,1,54,49,0,0,0,0,0,0,0 +Sitting,51,7,0,155,0,0,0,0,0,0,0 +Stair up,8,0,0,0,147,0,0,2,0,0,0 +Stair down,11,0,0,0,0,85,0,0,0,0,0 +Ramp up,11,0,0,0,2,0,148,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,193,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,176,0,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,149,0 +Carry,38,0,0,0,0,0,0,0,0,0,656 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..04a3f4cb4f7b35915c303731a390d0fb8e45b463 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1037,0,3,25,3,4,2,8,7,6,23 +Sit to stand,74,10,0,34,0,0,0,0,0,0,0 +Stand to sit,61,0,41,40,0,0,0,0,0,0,0 +Sitting,32,5,0,135,0,0,0,0,0,0,0 +Stair up,4,0,0,0,140,0,0,1,0,0,0 +Stair down,6,0,0,0,0,80,0,0,0,0,0 +Ramp up,4,0,0,0,2,0,145,0,0,0,0 +Ramp down,1,0,0,0,0,0,0,185,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,168,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,145,0 +Carry,24,0,0,0,0,0,0,0,0,0,646 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..c49ceb65124e1350a3327bec14e94626598313cc --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,83,0,8,4,5,4,0,8,4,4,6 +Sit to stand,38,1,2,16,0,0,0,0,0,0,0 +Stand to sit,33,1,13,9,0,0,0,0,0,0,0 +Sitting,19,2,0,20,0,0,0,0,0,0,0 +Stair up,4,0,0,0,7,0,0,1,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,3,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,8,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,8,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,4,0 +Carry,14,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..210b26316e87393cacdb279e5ef27bd8e83462e8 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7582938388625592,0.9003215434083601,0.8232267548695332,1244.0,1477,1244 +Sit to stand,0.5789473684210527,0.06285714285714286,0.1134020618556701,175.0,19,175 +Stand to sit,0.8059701492537313,0.2727272727272727,0.4075471698113208,198.0,67,198 +Sitting,0.5477031802120141,0.7276995305164319,0.625,213.0,283,213 +Stair up,0.9363057324840764,0.9363057324840764,0.9363057324840764,157.0,157,157 +Stair down,0.9139784946236559,0.8854166666666666,0.8994708994708994,96.0,93,96 +Ramp up,0.9866666666666667,0.9192546583850931,0.9517684887459807,161.0,150,161 +Ramp down,0.9146919431279621,0.9747474747474747,0.9437652811735942,198.0,211,198 +Grass walking,0.9411764705882353,0.9411764705882353,0.9411764705882353,187.0,187,187 +Uneven ground walking,0.9371069182389937,0.9030303030303031,0.9197530864197531,165.0,159,165 +Carry,0.9576642335766423,0.9452449567723343,0.9514140681653372,694.0,685,694 +accuracy,0.8297018348623854,0.8297018348623854,0.8297018348623854,0.8297018348623854,0,0 +macro avg,0.8435004541868718,0.7698892501984901,0.773893637598582,3488.0,0,0 +weighted avg,0.8287907354140683,0.8297018348623854,0.8082708901321007,3488.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e58cfb74e1e4a96ab8d251208895b94b40060e53 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8243243243243243,0.9275491949910555,0.872895622895623,1118.0,1258,1118 +Sit to stand,0.6666666666666666,0.0847457627118644,0.15037593984962405,118.0,15,118 +Stand to sit,0.9318181818181818,0.2887323943661972,0.44086021505376344,142.0,44,142 +Sitting,0.5769230769230769,0.7848837209302325,0.6650246305418719,172.0,234,172 +Stair up,0.9655172413793104,0.9655172413793104,0.9655172413793104,145.0,145,145 +Stair down,0.9523809523809523,0.9302325581395349,0.9411764705882353,86.0,84,86 +Ramp up,0.9863945578231292,0.9602649006622517,0.9731543624161074,151.0,147,151 +Ramp down,0.9536082474226805,0.9946236559139785,0.9736842105263158,186.0,194,186 +Grass walking,0.96,0.96,0.96,175.0,175,175 +Uneven ground walking,0.9602649006622517,0.9477124183006536,0.9539473684210527,153.0,151,153 +Carry,0.9656203288490284,0.9641791044776119,0.9648991784914115,670.0,669,670 +accuracy,0.8767650834403081,0.8767650834403081,0.8767650834403081,0.8767650834403081,0,0 +macro avg,0.8857744071136001,0.8007673592611536,0.8055941127421196,3116.0,0,0 +weighted avg,0.8799479578296081,0.8767650834403081,0.8600953785627024,3116.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d400ceec5fea256081d65dacacdcc7d2e019fcf5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.3789954337899543,0.6587301587301587,0.4811594202898551,126.0,219,126 +Sit to stand,0.25,0.017543859649122806,0.03278688524590164,57.0,4,57 +Stand to sit,0.5652173913043478,0.23214285714285715,0.3291139240506329,56.0,23,56 +Sitting,0.40816326530612246,0.4878048780487805,0.4444444444444444,41.0,49,41 +Stair up,0.5833333333333334,0.5833333333333334,0.5833333333333334,12.0,12,12 +Stair down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Ramp up,1.0,0.3,0.46153846153846156,10.0,3,10 +Ramp down,0.47058823529411764,0.6666666666666666,0.5517241379310345,12.0,17,12 +Grass walking,0.6666666666666666,0.6666666666666666,0.6666666666666666,12.0,12,12 +Uneven ground walking,0.5,0.3333333333333333,0.4,12.0,8,12 +Carry,0.625,0.4166666666666667,0.5,24.0,16,24 +accuracy,0.43548387096774194,0.43548387096774194,0.43548387096774194,0.43548387096774194,0,0 +macro avg,0.5457745346590999,0.44208076547614417,0.45246209663400133,372.0,0,0 +weighted avg,0.4505185667398218,0.43548387096774194,0.3963622944889508,372.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..1cee8b726ae9678398e246414c143e57747eda0a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1109,19,17,0,30,31,18,13,19,14,31 +Sit to stand,66,131,9,14,0,0,0,0,0,0,0 +Stand to sit,45,73,57,24,0,0,0,0,0,0,0 +Sitting,0,32,20,262,0,0,0,0,0,0,0 +Stair up,3,0,0,0,162,0,0,2,0,0,0 +Stair down,4,0,0,0,0,142,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,216,0,0,0,0 +Ramp down,20,0,2,0,0,0,10,177,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,185,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,215,0 +Carry,28,0,0,0,0,0,0,0,0,0,624 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a39a1d8da2c21f563e4655a2c9328535905f70cd --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1056,14,6,0,18,19,11,4,11,5,13 +Sit to stand,27,95,6,2,0,0,0,0,0,0,0 +Stand to sit,19,43,41,8,0,0,0,0,0,0,0 +Sitting,0,14,14,216,0,0,0,0,0,0,0 +Stair up,1,0,0,0,149,0,0,1,0,0,0 +Stair down,2,0,0,0,0,130,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,208,0,0,0,0 +Ramp down,13,0,2,0,0,0,10,170,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,203,0 +Carry,20,0,0,0,0,0,0,0,0,0,603 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..dc88b3dffb3fdc65652aaef58a5a2419bede2e1c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,53,5,11,0,12,12,7,9,8,9,18 +Sit to stand,39,36,3,12,0,0,0,0,0,0,0 +Stand to sit,26,30,16,16,0,0,0,0,0,0,0 +Sitting,0,18,6,46,0,0,0,0,0,0,0 +Stair up,2,0,0,0,13,0,0,1,0,0,0 +Stair down,2,0,0,0,0,12,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,8,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,7,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,12,0 +Carry,8,0,0,0,0,0,0,0,0,0,21 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..778f09ac11525030b93e4c71719eb44bd5d28afa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8590240123934935,0.8524212144504227,0.8557098765432098,1301.0,1291,1301 +Sit to stand,0.5137254901960784,0.5954545454545455,0.5515789473684211,220.0,255,220 +Stand to sit,0.5428571428571428,0.2864321608040201,0.375,199.0,105,199 +Sitting,0.8733333333333333,0.8343949044585988,0.8534201954397395,314.0,300,314 +Stair up,0.84375,0.9700598802395209,0.9025069637883009,167.0,192,167 +Stair down,0.8208092485549133,0.9726027397260274,0.890282131661442,146.0,173,146 +Ramp up,0.8852459016393442,0.96,0.9211087420042644,225.0,244,225 +Ramp down,0.921875,0.84688995215311,0.8827930174563591,209.0,192,209 +Grass walking,0.9068627450980392,0.9788359788359788,0.9414758269720102,189.0,204,189 +Uneven ground walking,0.9388646288209607,0.9862385321100917,0.9619686800894854,218.0,229,218 +Carry,0.9526717557251908,0.9570552147239264,0.954858454475899,652.0,655,652 +accuracy,0.8541666666666666,0.8541666666666666,0.8541666666666666,0.8541666666666666,0,0 +macro avg,0.8235472053289544,0.8400350111778402,0.8264275305271936,3840.0,0,0 +weighted avg,0.8496544848592457,0.8541666666666666,0.8489306606307047,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..065e8a2ce2575d04521916229c6e44aafb4f05a7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9255039439088519,0.9127052722558341,0.9190600522193212,1157.0,1141,1157 +Sit to stand,0.572289156626506,0.7307692307692307,0.6418918918918919,130.0,166,130 +Stand to sit,0.5942028985507246,0.36936936936936937,0.45555555555555555,111.0,69,111 +Sitting,0.9557522123893806,0.8852459016393442,0.9191489361702128,244.0,226,244 +Stair up,0.8922155688622755,0.9867549668874173,0.9371069182389937,151.0,167,151 +Stair down,0.87248322147651,0.9848484848484849,0.9252669039145908,132.0,149,132 +Ramp up,0.9082969432314411,0.985781990521327,0.9454545454545454,211.0,229,211 +Ramp down,0.9714285714285714,0.8717948717948718,0.918918918918919,195.0,175,195 +Grass walking,0.9408602150537635,1.0,0.9695290858725761,175.0,186,175 +Uneven ground walking,0.9759615384615384,1.0,0.9878345498783455,203.0,208,203 +Carry,0.9788961038961039,0.9678972712680578,0.9733656174334141,623.0,616,623 +accuracy,0.9141656662665066,0.9141656662665066,0.9141656662665066,0.9141656662665066,0,0 +macro avg,0.8716263976259697,0.8813788508503578,0.8721029977771242,3332.0,0,0 +weighted avg,0.9147539856779738,0.9141656662665066,0.9125332205944878,3332.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..666b1bed5b21ffd68fa02b976df884c5da771119 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.35333333333333333,0.3680555555555556,0.36054421768707484,144.0,150,144 +Sit to stand,0.4044943820224719,0.4,0.4022346368715084,90.0,89,90 +Stand to sit,0.4444444444444444,0.18181818181818182,0.25806451612903225,88.0,36,88 +Sitting,0.6216216216216216,0.6571428571428571,0.6388888888888888,70.0,74,70 +Stair up,0.52,0.8125,0.6341463414634146,16.0,25,16 +Stair down,0.5,0.8571428571428571,0.631578947368421,14.0,24,14 +Ramp up,0.5333333333333333,0.5714285714285714,0.5517241379310345,14.0,15,14 +Ramp down,0.4117647058823529,0.5,0.45161290322580644,14.0,17,14 +Grass walking,0.5555555555555556,0.7142857142857143,0.625,14.0,18,14 +Uneven ground walking,0.5714285714285714,0.8,0.6666666666666666,15.0,21,15 +Carry,0.5384615384615384,0.7241379310344828,0.6176470588235294,29.0,39,29 +accuracy,0.46062992125984253,0.46062992125984253,0.46062992125984253,0.46062992125984253,0,0 +macro avg,0.495857953280293,0.5987737880371109,0.5307371195504889,508.0,0,0 +weighted avg,0.45359268212649145,0.46062992125984253,0.4434021935346501,508.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..838f6b8e9d257f99ab774cbdb9fee31b13312916 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1144,12,9,0,27,27,16,12,20,12,28 +Sit to stand,50,132,8,20,0,0,0,0,0,0,0 +Stand to sit,57,57,64,17,0,0,0,0,0,0,0 +Sitting,0,49,14,258,0,0,0,0,0,0,0 +Stair up,2,0,0,0,160,0,0,2,0,0,0 +Stair down,4,0,0,0,0,140,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,217,0,0,0,0 +Ramp down,20,0,2,0,0,0,10,178,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,185,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,219,0 +Carry,28,0,0,0,0,0,0,0,0,0,626 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3b3b443de3a51848d870dd3731aae0e62f536c05 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1068,12,2,0,17,13,11,3,12,5,12 +Sit to stand,18,92,7,5,0,0,0,0,0,0,0 +Stand to sit,26,28,47,7,0,0,0,0,0,0,0 +Sitting,0,15,9,219,0,0,0,0,0,0,0 +Stair up,0,0,0,0,147,0,0,1,0,0,0 +Stair down,2,0,0,0,0,128,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,209,0,0,0,0 +Ramp down,13,0,2,0,0,0,10,169,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,208,0 +Carry,21,0,0,0,0,0,0,0,0,0,602 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..510eefd2e1640e0573248cbdb43d22f6e5e99c64 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,76,0,7,0,10,14,5,9,8,7,16 +Sit to stand,32,40,1,15,0,0,0,0,0,0,0 +Stand to sit,31,29,17,10,0,0,0,0,0,0,0 +Sitting,0,34,5,39,0,0,0,0,0,0,0 +Stair up,2,0,0,0,13,0,0,1,0,0,0 +Stair down,2,0,0,0,0,12,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,8,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,9,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,11,0 +Carry,7,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..79fa35b0630b5a43956d0b936b0a00c076e6a0af --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8673237300985596,0.8752869166029075,0.8712871287128713,1307.0,1319,1307 +Sit to stand,0.528,0.6285714285714286,0.5739130434782609,210.0,250,210 +Stand to sit,0.6597938144329897,0.3282051282051282,0.4383561643835616,195.0,97,195 +Sitting,0.8745762711864407,0.8037383177570093,0.8376623376623377,321.0,295,321 +Stair up,0.8556149732620321,0.975609756097561,0.9116809116809117,164.0,187,164 +Stair down,0.8383233532934131,0.9722222222222222,0.9003215434083601,144.0,167,144 +Ramp up,0.8930041152263375,0.9601769911504425,0.9253731343283582,226.0,243,226 +Ramp down,0.9270833333333334,0.8476190476190476,0.8855721393034826,210.0,192,210 +Grass walking,0.9024390243902439,0.9893048128342246,0.9438775510204082,187.0,205,187 +Uneven ground walking,0.948051948051948,0.9864864864864865,0.9668874172185431,222.0,231,222 +Carry,0.9571865443425076,0.9571865443425076,0.9571865443425076,654.0,654,654 +accuracy,0.8653645833333333,0.8653645833333333,0.8653645833333333,0.8653645833333333,0,0 +macro avg,0.8410361006925278,0.8476734228989968,0.8374652650490547,3840.0,0,0 +weighted avg,0.863708429860152,0.8653645833333333,0.8606988637615387,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2a8cb1d257844892a4c81222be3da668ca337db --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9278887923544744,0.9246753246753247,0.9262792714657415,1155.0,1151,1155 +Sit to stand,0.6258503401360545,0.7540983606557377,0.6840148698884758,122.0,147,122 +Stand to sit,0.7014925373134329,0.4351851851851852,0.5371428571428571,108.0,67,108 +Sitting,0.948051948051948,0.9012345679012346,0.9240506329113924,243.0,231,243 +Stair up,0.8963414634146342,0.9932432432432432,0.9423076923076923,148.0,164,148 +Stair down,0.9078014184397163,0.9846153846153847,0.9446494464944649,130.0,141,130 +Ramp up,0.908695652173913,0.9858490566037735,0.9457013574660633,212.0,230,212 +Ramp down,0.976878612716763,0.8711340206185567,0.9209809264305178,194.0,173,194 +Grass walking,0.9351351351351351,1.0,0.9664804469273743,173.0,185,173 +Uneven ground walking,0.9765258215962441,1.0,0.9881235154394299,208.0,213,208 +Carry,0.9804560260586319,0.9662921348314607,0.973322554567502,623.0,614,623 +accuracy,0.9234016887816646,0.9234016887816646,0.9234016887816646,0.9234016887816646,0,0 +macro avg,0.8895561588537226,0.8923933889390819,0.8866412337310465,3316.0,0,0 +weighted avg,0.9236289558769197,0.9234016887816646,0.9217110431482985,3316.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b92eda47dd216d99480bcabca5ab2774789ab38 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4523809523809524,0.5,0.475,152.0,168,152 +Sit to stand,0.3883495145631068,0.45454545454545453,0.418848167539267,88.0,103,88 +Stand to sit,0.5666666666666667,0.19540229885057472,0.2905982905982906,87.0,30,87 +Sitting,0.609375,0.5,0.5492957746478874,78.0,64,78 +Stair up,0.5652173913043478,0.8125,0.6666666666666666,16.0,23,16 +Stair down,0.46153846153846156,0.8571428571428571,0.6,14.0,26,14 +Ramp up,0.6153846153846154,0.5714285714285714,0.5925925925925926,14.0,13,14 +Ramp down,0.47368421052631576,0.5625,0.5142857142857142,16.0,19,16 +Grass walking,0.6,0.8571428571428571,0.7058823529411765,14.0,20,14 +Uneven ground walking,0.6111111111111112,0.7857142857142857,0.6875,14.0,18,14 +Carry,0.6,0.7741935483870968,0.676056338028169,31.0,40,31 +accuracy,0.49809160305343514,0.49809160305343514,0.49809160305343514,0.49809160305343514,0,0 +macro avg,0.5403370839523252,0.6245972612010634,0.5615205361181604,524.0,0,0 +weighted avg,0.5095855273000524,0.49809160305343514,0.48328701194585133,524.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc98ede7e60d62bdb8224446cb040aef0020ea8b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1149,9,7,0,33,24,17,12,18,10,25 +Sit to stand,44,140,7,25,0,0,0,0,0,0,0 +Stand to sit,82,40,66,14,0,0,0,0,0,0,0 +Sitting,1,53,9,252,0,0,0,0,0,0,0 +Stair up,1,0,0,0,159,0,0,4,0,0,0 +Stair down,6,0,0,0,0,139,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,216,0,0,0,0 +Ramp down,18,0,2,0,1,0,10,177,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,185,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,216,0 +Carry,27,0,0,0,0,0,0,0,0,0,627 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1ec2ab6db68f416a0b7499eccfcdd97b7f8840d4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1077,8,2,0,23,13,12,3,9,3,13 +Sit to stand,13,101,5,8,0,0,0,0,0,0,0 +Stand to sit,44,14,50,6,0,0,0,0,0,0,0 +Sitting,0,18,6,219,0,0,0,0,0,0,0 +Stair up,0,0,0,0,147,0,0,2,0,0,0 +Stair down,3,0,0,0,0,128,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,208,0,0,0,0 +Ramp down,11,0,2,0,0,0,10,170,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,206,0 +Carry,17,0,0,0,0,0,0,0,0,0,605 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a26c9973eeed446ca4d2eb9ae5de30bcb53ad9e1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,72,1,5,0,10,11,5,9,9,7,12 +Sit to stand,31,39,2,17,0,0,0,0,0,0,0 +Stand to sit,38,26,16,8,0,0,0,0,0,0,0 +Sitting,1,35,3,33,0,0,0,0,0,0,0 +Stair up,1,0,0,0,12,0,0,2,0,0,0 +Stair down,3,0,0,0,0,11,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,8,0,0,0,0 +Ramp down,7,0,0,0,1,0,0,7,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,10,0 +Carry,10,0,0,0,0,0,0,0,0,0,22 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3da04b220340c54fb210e9f9415ec55c5d494b35 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8555472822040209,0.8811349693251533,0.8681526256139025,1304.0,1343,1304 +Sit to stand,0.5785123966942148,0.6481481481481481,0.611353711790393,216.0,242,216 +Stand to sit,0.7252747252747253,0.32673267326732675,0.45051194539249145,202.0,91,202 +Sitting,0.865979381443299,0.8,0.8316831683168316,315.0,291,315 +Stair up,0.8238341968911918,0.9695121951219512,0.8907563025210085,164.0,193,164 +Stair down,0.852760736196319,0.9586206896551724,0.9025974025974026,145.0,163,145 +Ramp up,0.8888888888888888,0.96,0.9230769230769231,225.0,243,225 +Ramp down,0.917098445595855,0.8509615384615384,0.8827930174563591,208.0,193,208 +Grass walking,0.9113300492610837,0.9840425531914894,0.9462915601023018,188.0,203,188 +Uneven ground walking,0.9557522123893806,0.9863013698630136,0.9707865168539326,219.0,226,219 +Carry,0.9616564417177914,0.9587155963302753,0.9601837672281777,654.0,652,654 +accuracy,0.8661458333333333,0.8661458333333333,0.8661458333333333,0.8661458333333333,0,0 +macro avg,0.8487849778687974,0.8476517939421881,0.839835176449975,3840.0,0,0 +weighted avg,0.8643125056563752,0.8661458333333333,0.8603766127883099,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2d868fb9f390eb555155da63be982409624ff9ff --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9213002566295979,0.9260533104041273,0.9236706689536878,1163.0,1169,1163 +Sit to stand,0.7163120567375887,0.7952755905511811,0.753731343283582,127.0,141,127 +Stand to sit,0.7692307692307693,0.43859649122807015,0.5586592178770949,114.0,65,114 +Sitting,0.9399141630901288,0.9012345679012346,0.9201680672268907,243.0,233,243 +Stair up,0.8647058823529412,0.9865771812080537,0.9216300940438872,149.0,170,149 +Stair down,0.9078014184397163,0.9770992366412213,0.9411764705882353,131.0,141,131 +Ramp up,0.9043478260869565,0.985781990521327,0.9433106575963719,211.0,230,211 +Ramp down,0.9714285714285714,0.8808290155440415,0.9239130434782609,193.0,175,193 +Grass walking,0.9505494505494505,0.9942528735632183,0.9719101123595506,174.0,182,174 +Uneven ground walking,0.9856459330143541,1.0,0.9927710843373494,206.0,209,206 +Carry,0.9789644012944984,0.9726688102893891,0.9758064516129032,622.0,618,622 +accuracy,0.9252925292529253,0.9252925292529253,0.9252925292529253,0.9252925292529253,0,0 +macro avg,0.9009273389867793,0.8962153698047151,0.8933406555779831,3333.0,0,0 +weighted avg,0.9246792892490544,0.9252925292529253,0.9228282158401726,3333.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..eeff688244512c0dfb0900216679f2ca4b3d915a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.41379310344827586,0.5106382978723404,0.45714285714285713,141.0,174,141 +Sit to stand,0.38613861386138615,0.43820224719101125,0.4105263157894737,89.0,101,89 +Stand to sit,0.6153846153846154,0.18181818181818182,0.2807017543859649,88.0,26,88 +Sitting,0.5689655172413793,0.4583333333333333,0.5076923076923077,72.0,58,72 +Stair up,0.5217391304347826,0.8,0.631578947368421,15.0,23,15 +Stair down,0.5,0.7857142857142857,0.6111111111111112,14.0,22,14 +Ramp up,0.6153846153846154,0.5714285714285714,0.5925925925925926,14.0,13,14 +Ramp down,0.3888888888888889,0.4666666666666667,0.42424242424242425,15.0,18,15 +Grass walking,0.5714285714285714,0.8571428571428571,0.6857142857142857,14.0,21,14 +Uneven ground walking,0.5882352941176471,0.7692307692307693,0.6666666666666666,13.0,17,13 +Carry,0.6470588235294118,0.6875,0.6666666666666666,32.0,34,32 +accuracy,0.47731755424063116,0.47731755424063116,0.47731755424063116,0.47731755424063116,0,0 +macro avg,0.5288197430654158,0.5933341100361833,0.5395123572157066,507.0,0,0 +weighted avg,0.4999176995992229,0.47731755424063116,0.46260110045016095,507.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..35c385191bef8a6152a67746e89a2cb57c2f0285 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1153,5,6,0,37,22,20,11,21,6,27 +Sit to stand,44,135,7,34,0,0,0,0,0,0,0 +Stand to sit,98,25,65,8,0,0,0,0,0,0,0 +Sitting,2,54,5,253,0,0,0,0,0,0,0 +Stair up,0,0,0,0,160,0,0,3,0,0,0 +Stair down,4,0,0,0,0,141,0,0,0,0,0 +Ramp up,8,0,0,0,0,1,216,0,0,0,0 +Ramp down,15,0,2,0,1,0,10,181,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,185,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,217,0 +Carry,28,0,0,0,0,0,0,0,0,0,624 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..35162c687c0acf2dc0f746eedf543ae6a364341e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1076,4,3,0,24,11,14,3,10,1,12 +Sit to stand,11,99,4,14,0,0,0,0,0,0,0 +Stand to sit,47,7,49,4,0,0,0,0,0,0,0 +Sitting,0,16,1,227,0,0,0,0,0,0,0 +Stair up,0,0,0,0,147,0,0,0,0,0,0 +Stair down,3,0,0,0,0,129,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,206,0,0,0,0 +Ramp down,9,0,2,0,0,0,10,174,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,206,0 +Carry,15,0,0,0,0,0,0,0,0,0,607 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..93dd5279818620c7c04432e32e38c0fe780daf26 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,77,1,3,0,13,11,6,8,11,5,15 +Sit to stand,33,36,3,20,0,0,0,0,0,0,0 +Stand to sit,51,18,16,4,0,0,0,0,0,0,0 +Sitting,2,38,4,26,0,0,0,0,0,0,0 +Stair up,0,0,0,0,13,0,0,3,0,0,0 +Stair down,1,0,0,0,0,12,0,0,0,0,0 +Ramp up,4,0,0,0,0,1,10,0,0,0,0 +Ramp down,6,0,0,0,1,0,0,7,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,13,0,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,11,0 +Carry,13,0,0,0,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5af1b63dbd393bf5ac3a8f1feb8801bb3d755468 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8490427098674521,0.8814984709480123,0.8649662415603901,1308.0,1358,1308 +Sit to stand,0.6164383561643836,0.6136363636363636,0.6150341685649203,220.0,219,220 +Stand to sit,0.7647058823529411,0.33163265306122447,0.4626334519572954,196.0,85,196 +Sitting,0.8576271186440678,0.8057324840764332,0.8308702791461412,314.0,295,314 +Stair up,0.8080808080808081,0.9815950920245399,0.8864265927977839,163.0,198,163 +Stair down,0.8597560975609756,0.9724137931034482,0.912621359223301,145.0,164,145 +Ramp up,0.8780487804878049,0.96,0.9171974522292994,225.0,246,225 +Ramp down,0.9282051282051282,0.8660287081339713,0.8960396039603961,209.0,195,209 +Grass walking,0.8980582524271845,0.9893048128342246,0.9414758269720102,187.0,206,187 +Uneven ground walking,0.9730941704035875,0.9819004524886877,0.9774774774774775,221.0,223,221 +Carry,0.9585253456221198,0.9570552147239264,0.9577897160399079,652.0,651,652 +accuracy,0.8671875,0.8671875,0.8671875,0.8671875,0,0 +macro avg,0.8537802408924048,0.8491634586391665,0.8420483790844476,3840.0,0,0 +weighted avg,0.8649032433685012,0.8671875,0.8607472703119353,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..130c1c40baea8787bc12a0054855b4d535ed3a02 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9220222793487575,0.9291882556131261,0.9255913978494623,1158.0,1167,1158 +Sit to stand,0.7857142857142857,0.7734375,0.7795275590551181,128.0,126,128 +Stand to sit,0.8305084745762712,0.45794392523364486,0.5903614457831325,107.0,59,107 +Sitting,0.926530612244898,0.930327868852459,0.9284253578732107,244.0,245,244 +Stair up,0.8596491228070176,1.0,0.9245283018867925,147.0,171,147 +Stair down,0.9214285714285714,0.9772727272727273,0.9485294117647058,132.0,140,132 +Ramp up,0.8956521739130435,0.9809523809523809,0.9363636363636364,210.0,230,210 +Ramp down,0.9830508474576272,0.8923076923076924,0.9354838709677419,195.0,177,195 +Grass walking,0.945054945054945,0.9942196531791907,0.9690140845070423,173.0,182,173 +Uneven ground walking,0.9951690821256038,0.9951690821256038,0.9951690821256038,207.0,207,207 +Carry,0.9806138933764136,0.9758842443729904,0.9782433521353747,622.0,619,622 +accuracy,0.9304845019560638,0.9304845019560638,0.9304845019560638,0.9304845019560638,0,0 +macro avg,0.9132176625497668,0.9006093936281651,0.9010215909374384,3323.0,0,0 +weighted avg,0.9300109285755402,0.9304845019560638,0.927954526374326,3323.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..663adefc30e5e05d6ade22bc7d204f3c0a055c76 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4031413612565445,0.5133333333333333,0.45161290322580644,150.0,191,150 +Sit to stand,0.3870967741935484,0.391304347826087,0.3891891891891892,92.0,93,92 +Stand to sit,0.6153846153846154,0.1797752808988764,0.2782608695652174,89.0,26,89 +Sitting,0.52,0.37142857142857144,0.43333333333333335,70.0,50,70 +Stair up,0.48148148148148145,0.8125,0.6046511627906976,16.0,27,16 +Stair down,0.5,0.9230769230769231,0.6486486486486487,13.0,24,13 +Ramp up,0.625,0.6666666666666666,0.6451612903225806,15.0,16,15 +Ramp down,0.3888888888888889,0.5,0.4375,14.0,18,14 +Grass walking,0.5416666666666666,0.9285714285714286,0.6842105263157895,14.0,24,14 +Uneven ground walking,0.6875,0.7857142857142857,0.7333333333333333,14.0,16,14 +Carry,0.53125,0.5666666666666667,0.5483870967741935,30.0,32,30 +accuracy,0.46034816247582205,0.46034816247582205,0.46034816247582205,0.46034816247582205,0,0 +macro avg,0.5164917988974314,0.6035488640166217,0.5322080321362536,517.0,0,0 +weighted avg,0.4824416241102522,0.46034816247582205,0.4426545240699223,517.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..ba318482561ef3f844278a1f442ec05b3f716c04 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1157,0,5,0,31,24,20,13,22,12,19 +Sit to stand,55,111,2,51,0,0,0,0,0,0,0 +Stand to sit,121,5,64,8,0,0,0,0,0,0,0 +Sitting,31,37,3,243,0,0,0,0,0,0,0 +Stair up,0,0,0,0,163,0,0,4,0,0,0 +Stair down,6,0,0,0,0,140,0,0,0,0,0 +Ramp up,10,0,0,0,0,1,214,0,0,0,0 +Ramp down,14,0,0,0,0,0,10,185,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,187,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,216,0 +Carry,26,0,0,0,0,0,0,0,0,0,626 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b23281a27ae661f76e2aae3b79f263042c43d80a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1080,0,3,0,20,14,12,5,12,4,9 +Sit to stand,20,79,1,29,0,0,0,0,0,0,0 +Stand to sit,55,1,52,3,0,0,0,0,0,0,0 +Sitting,3,17,0,223,0,0,0,0,0,0,0 +Stair up,0,0,0,0,149,0,0,2,0,0,0 +Stair down,2,0,0,0,0,130,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,206,0,0,0,0 +Ramp down,8,0,0,0,0,0,10,177,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,0,0,0,0,0,0,0,0,0,203,0 +Carry,14,0,0,0,0,0,0,0,0,0,609 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3f665980a99f0b8e0bd8f92cdaa2c0f7a81c76dd --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,77,0,2,0,11,10,8,8,10,8,10 +Sit to stand,35,32,1,22,0,0,0,0,0,0,0 +Stand to sit,66,4,12,5,0,0,0,0,0,0,0 +Sitting,28,20,3,20,0,0,0,0,0,0,0 +Stair up,0,0,0,0,14,0,0,2,0,0,0 +Stair down,4,0,0,0,0,10,0,0,0,0,0 +Ramp up,5,0,0,0,0,1,8,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,8,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,12,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,13,0 +Carry,12,0,0,0,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9b87d9500983f5e9f907e50adf119eb63d2fc646 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8125,0.8879508825786646,0.8485515218188485,1303.0,1424,1303 +Sit to stand,0.7254901960784313,0.5068493150684932,0.5967741935483871,219.0,153,219 +Stand to sit,0.8648648648648649,0.32323232323232326,0.47058823529411764,198.0,74,198 +Sitting,0.804635761589404,0.7738853503184714,0.788961038961039,314.0,302,314 +Stair up,0.8402061855670103,0.9760479041916168,0.9030470914127424,167.0,194,167 +Stair down,0.8484848484848485,0.958904109589041,0.9003215434083601,146.0,165,146 +Ramp up,0.8770491803278688,0.9511111111111111,0.9125799573560768,225.0,244,225 +Ramp down,0.9158415841584159,0.8851674641148325,0.9002433090024331,209.0,202,209 +Grass walking,0.8947368421052632,0.9894179894179894,0.9396984924623115,189.0,209,189 +Uneven ground walking,0.9473684210526315,0.9908256880733946,0.968609865470852,218.0,228,218 +Carry,0.9705426356589147,0.9601226993865031,0.9653045489591364,652.0,645,652 +accuracy,0.8609375,0.8609375,0.8609375,0.8609375,0,0 +macro avg,0.8637927745352411,0.8366831670074947,0.8358799816085731,3840.0,0,0 +weighted avg,0.8601130938155811,0.8609375,0.8518599222392218,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..edf169841cbaa81615ffdeb097852ea4a49122a5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9098567818028643,0.9318377911993098,0.9207161125319693,1159.0,1187,1159 +Sit to stand,0.8144329896907216,0.6124031007751938,0.6991150442477876,129.0,97,129 +Stand to sit,0.9285714285714286,0.46846846846846846,0.6227544910179641,111.0,56,111 +Sitting,0.8745098039215686,0.9176954732510288,0.8955823293172691,243.0,255,243 +Stair up,0.8816568047337278,0.9867549668874173,0.93125,151.0,169,151 +Stair down,0.9027777777777778,0.9848484848484849,0.9420289855072463,132.0,144,132 +Ramp up,0.9035087719298246,0.976303317535545,0.9384965831435079,211.0,228,211 +Ramp down,0.9619565217391305,0.9076923076923077,0.9340369393139841,195.0,184,195 +Grass walking,0.9358288770053476,1.0,0.9668508287292817,175.0,187,175 +Uneven ground walking,0.9806763285024155,1.0,0.9902439024390244,203.0,207,203 +Carry,0.9854368932038835,0.9775280898876404,0.9814665592264303,623.0,618,623 +accuracy,0.9252701080432173,0.9252701080432173,0.9252701080432173,0.9252701080432173,0,0 +macro avg,0.9162920889889719,0.8875938182313995,0.8929583432249513,3332.0,0,0 +weighted avg,0.9251069706271672,0.9252701080432173,0.9216226595368799,3332.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8be28a6e43d9c8f0e12b4bd823ba1ee0ccce8f07 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.32489451476793246,0.5347222222222222,0.4041994750656168,144.0,237,144 +Sit to stand,0.5714285714285714,0.35555555555555557,0.4383561643835616,90.0,56,90 +Stand to sit,0.6666666666666666,0.13793103448275862,0.22857142857142856,87.0,18,87 +Sitting,0.425531914893617,0.28169014084507044,0.3389830508474576,71.0,47,71 +Stair up,0.56,0.875,0.6829268292682927,16.0,25,16 +Stair down,0.47619047619047616,0.7142857142857143,0.5714285714285714,14.0,21,14 +Ramp up,0.5,0.5714285714285714,0.5333333333333333,14.0,16,14 +Ramp down,0.4444444444444444,0.5714285714285714,0.5,14.0,18,14 +Grass walking,0.5454545454545454,0.8571428571428571,0.6666666666666666,14.0,22,14 +Uneven ground walking,0.6190476190476191,0.8666666666666667,0.7222222222222222,15.0,21,15 +Carry,0.6296296296296297,0.5862068965517241,0.6071428571428571,29.0,27,29 +accuracy,0.4389763779527559,0.4389763779527559,0.4389763779527559,0.4389763779527559,0,0 +macro avg,0.5239353075021366,0.5774598391463375,0.5176209635390916,508.0,0,0 +weighted avg,0.49302435744650897,0.4389763779527559,0.41885353456421665,508.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..087c145880668ad70435f59dee790070cf102ab2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1145,2,10,3,23,22,19,19,17,12,33 +Sit to stand,117,26,5,69,0,0,0,0,0,0,0 +Stand to sit,124,3,55,16,0,0,0,0,0,0,0 +Sitting,66,7,8,233,0,0,0,0,0,0,0 +Stair up,0,0,0,0,159,0,0,8,0,0,0 +Stair down,0,0,0,0,0,146,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,214,0,0,0,0 +Ramp down,10,0,0,0,0,0,12,187,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,189,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,213,0 +Carry,32,0,0,0,0,0,0,0,0,0,620 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..08e87bb9e3ee61272761be35b5881d153b049068 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1075,0,7,3,14,11,12,8,8,4,19 +Sit to stand,64,12,3,49,0,0,0,0,0,0,0 +Stand to sit,62,0,42,7,0,0,0,0,0,0,0 +Sitting,26,7,5,205,0,0,0,0,0,0,0 +Stair up,0,0,0,0,148,0,0,3,0,0,0 +Stair down,0,0,0,0,0,132,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,204,0,0,0,0 +Ramp down,4,0,0,0,0,0,12,179,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,175,0,0 +Uneven ground walking,1,0,0,0,0,0,0,0,0,202,0 +Carry,20,0,0,0,0,0,0,0,0,0,603 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2871e2e93fb1319583e96d1b6a40945571fc72e8 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,70,2,3,0,9,11,7,11,9,8,14 +Sit to stand,53,14,2,20,0,0,0,0,0,0,0 +Stand to sit,62,3,13,9,0,0,0,0,0,0,0 +Sitting,40,0,3,28,0,0,0,0,0,0,0 +Stair up,0,0,0,0,11,0,0,5,0,0,0 +Stair down,0,0,0,0,0,14,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,10,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,8,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,14,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,11,0 +Carry,12,0,0,0,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..fdc2e55bc6a4d9e3abedec483165901a2e165a3f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7582781456953642,0.8773946360153256,0.8134991119005328,1305.0,1510,1305 +Sit to stand,0.6842105263157895,0.11981566820276497,0.20392156862745098,217.0,38,217 +Stand to sit,0.7051282051282052,0.2777777777777778,0.39855072463768115,198.0,78,198 +Sitting,0.7258566978193146,0.7420382165605095,0.7338582677165354,314.0,321,314 +Stair up,0.8736263736263736,0.9520958083832335,0.9111747851002865,167.0,182,167 +Stair down,0.8690476190476191,1.0,0.9299363057324841,146.0,168,146 +Ramp up,0.8734693877551021,0.9511111111111111,0.9106382978723404,225.0,245,225 +Ramp down,0.8738317757009346,0.8947368421052632,0.8841607565011821,209.0,214,209 +Grass walking,0.9174757281553398,1.0,0.9569620253164557,189.0,206,189 +Uneven ground walking,0.9466666666666667,0.9770642201834863,0.9616252821670429,218.0,225,218 +Carry,0.9494640122511485,0.950920245398773,0.9501915708812261,652.0,653,652 +accuracy,0.8299479166666667,0.8299479166666667,0.8299479166666667,0.8299479166666667,0,0 +macro avg,0.8342777398328962,0.7948140477943859,0.7867744269502925,3840.0,0,0 +weighted avg,0.8219598552497441,0.8299479166666667,0.8080356782172146,3840.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef52da5255239ed5e0a31808835652590d6200f8 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8538522637013503,0.9259259259259259,0.8884297520661157,1161.0,1259,1161 +Sit to stand,0.631578947368421,0.09375,0.16326530612244897,128.0,19,128 +Stand to sit,0.7368421052631579,0.3783783783783784,0.5,111.0,57,111 +Sitting,0.7765151515151515,0.8436213991769548,0.8086785009861933,243.0,264,243 +Stair up,0.9135802469135802,0.9801324503311258,0.9456869009584664,151.0,162,151 +Stair down,0.9230769230769231,1.0,0.96,132.0,143,132 +Ramp up,0.8947368421052632,0.966824644549763,0.929384965831435,211.0,228,211 +Ramp down,0.9421052631578948,0.9179487179487179,0.9298701298701298,195.0,190,195 +Grass walking,0.9562841530054644,1.0,0.9776536312849162,175.0,183,175 +Uneven ground walking,0.9805825242718447,0.9950738916256158,0.9877750611246944,203.0,206,203 +Carry,0.9694533762057878,0.9678972712680578,0.9686746987951808,623.0,622,623 +accuracy,0.8931893189318932,0.8931893189318932,0.8931893189318932,0.8931893189318932,0,0 +macro avg,0.8707825269622581,0.8245047890185945,0.8235835406399619,3333.0,0,0 +weighted avg,0.8836848012698076,0.8931893189318932,0.8780106398033263,3333.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4498d3c7249ca332dfe5956727eee8678ab4f797 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.2788844621513944,0.4861111111111111,0.35443037974683544,144.0,251,144 +Sit to stand,0.7368421052631579,0.15730337078651685,0.25925925925925924,89.0,19,89 +Stand to sit,0.6190476190476191,0.14942528735632185,0.24074074074074073,87.0,21,87 +Sitting,0.49122807017543857,0.39436619718309857,0.4375,71.0,57,71 +Stair up,0.55,0.6875,0.6111111111111112,16.0,20,16 +Stair down,0.56,1.0,0.717948717948718,14.0,25,14 +Ramp up,0.5882352941176471,0.7142857142857143,0.6451612903225806,14.0,17,14 +Ramp down,0.3333333333333333,0.5714285714285714,0.42105263157894735,14.0,24,14 +Grass walking,0.6086956521739131,1.0,0.7567567567567568,14.0,23,14 +Uneven ground walking,0.5789473684210527,0.7333333333333333,0.6470588235294118,15.0,19,15 +Carry,0.5483870967741935,0.5862068965517241,0.5666666666666667,29.0,31,29 +accuracy,0.41420118343195267,0.41420118343195267,0.41420118343195267,0.41420118343195267,0,0 +macro avg,0.5357819092234318,0.5890873165487629,0.5143351252419116,507.0,0,0 +weighted avg,0.5071474990243328,0.41420118343195267,0.3897610615751739,507.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..bceccd705a73535632099eee1e61035d0a578d7b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1539,15,17,0,36,20,21,21,21,39,34 +Sit to stand,66,105,7,6,0,0,0,0,0,0,0 +Stand to sit,49,106,58,24,0,0,0,0,0,0,0 +Sitting,5,49,4,160,0,0,0,0,0,0,0 +Stair up,2,0,0,0,148,0,0,8,0,0,0 +Stair down,16,0,0,0,0,122,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,192,0,0,0,0 +Ramp down,14,0,0,0,1,0,0,224,0,0,0 +Grass walking,36,1,0,0,0,0,0,0,265,3,0 +Uneven ground walking,10,1,0,0,0,0,0,0,0,272,0 +Carry,30,0,0,2,0,0,0,0,0,0,818 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..11c7b2c9f1886e17c3d8c9097309742439d03ff4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1474,0,10,0,29,13,14,9,13,24,16 +Sit to stand,31,58,6,3,0,0,0,0,0,0,0 +Stand to sit,39,54,42,13,0,0,0,0,0,0,0 +Sitting,0,21,1,145,0,0,0,0,0,0,0 +Stair up,2,0,0,0,137,0,0,1,0,0,0 +Stair down,12,0,0,0,0,112,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,182,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,215,0,0,0 +Grass walking,33,1,0,0,0,0,0,0,254,1,0 +Uneven ground walking,3,0,0,0,0,0,0,0,0,262,0 +Carry,23,0,0,2,0,0,0,0,0,0,794 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..584567b96cfaa2e1744a55eaff5e2104b3a0e280 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,65,15,7,0,7,7,7,12,8,15,18 +Sit to stand,35,47,1,3,0,0,0,0,0,0,0 +Stand to sit,10,52,16,11,0,0,0,0,0,0,0 +Sitting,5,28,3,15,0,0,0,0,0,0,0 +Stair up,0,0,0,0,11,0,0,7,0,0,0 +Stair down,4,0,0,0,0,10,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,10,0,0,0,0 +Ramp down,6,0,0,0,1,0,0,9,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,11,2,0 +Uneven ground walking,7,1,0,0,0,0,0,0,0,10,0 +Carry,7,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c8a6ede787bd354de66e00cf1c4aa896410c8b1e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8665540540540541,0.8729438457175269,0.8697372139022322,1763.0,1776,1763 +Sit to stand,0.37906137184115524,0.5706521739130435,0.455531453362256,184.0,277,184 +Stand to sit,0.6744186046511628,0.24472573839662448,0.3591331269349845,237.0,86,237 +Sitting,0.8333333333333334,0.7339449541284404,0.7804878048780488,218.0,192,218 +Stair up,0.8,0.9367088607594937,0.8629737609329446,158.0,185,158 +Stair down,0.8591549295774648,0.8840579710144928,0.8714285714285714,138.0,142,138 +Ramp up,0.9014084507042254,0.9552238805970149,0.927536231884058,201.0,213,201 +Ramp down,0.8853754940711462,0.9372384937238494,0.9105691056910569,239.0,253,239 +Grass walking,0.9265734265734266,0.8688524590163934,0.8967851099830795,305.0,286,305 +Uneven ground walking,0.8662420382165605,0.9611307420494699,0.9112227805695142,283.0,314,283 +Carry,0.960093896713615,0.9623529411764706,0.9612220916568742,850.0,852,850 +accuracy,0.8529283216783217,0.8529283216783217,0.8529283216783217,0.8529283216783217,0,0 +macro avg,0.8138377817941947,0.8116210964084382,0.8006024773839655,4576.0,0,0 +weighted avg,0.856767568131132,0.8529283216783217,0.8482358975924515,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8588a0394509d3d7872b0d73d9183bfd0e7c6015 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9042944785276074,0.920099875156055,0.9121287128712872,1602.0,1630,1602 +Sit to stand,0.43283582089552236,0.5918367346938775,0.5,98.0,134,98 +Stand to sit,0.711864406779661,0.28378378378378377,0.4057971014492754,148.0,59,148 +Sitting,0.8895705521472392,0.8682634730538922,0.8787878787878788,167.0,163,167 +Stair up,0.8253012048192772,0.9785714285714285,0.8954248366013072,140.0,166,140 +Stair down,0.896,0.9032258064516129,0.8995983935742972,124.0,125,124 +Ramp up,0.9285714285714286,0.9732620320855615,0.9503916449086162,187.0,196,187 +Ramp down,0.9555555555555556,0.9641255605381166,0.9598214285714286,223.0,225,223 +Grass walking,0.951310861423221,0.8788927335640139,0.9136690647482014,289.0,267,289 +Uneven ground walking,0.9128919860627178,0.9886792452830189,0.9492753623188406,265.0,287,265 +Carry,0.980246913580247,0.9694749694749695,0.9748311847759361,819.0,810,819 +accuracy,0.9047267355982275,0.9047267355982275,0.9047267355982275,0.9047267355982275,0,0 +macro avg,0.8534948371238614,0.8472923311505753,0.8399750553279154,4062.0,0,0 +weighted avg,0.9054793775597157,0.9047267355982275,0.9009635425767653,4062.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0adb92b5db4de6de498cd5e83fa136d5c4b48d2f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4452054794520548,0.40372670807453415,0.4234527687296417,161.0,146,161 +Sit to stand,0.32867132867132864,0.5465116279069767,0.4104803493449782,86.0,143,86 +Stand to sit,0.5925925925925926,0.1797752808988764,0.27586206896551724,89.0,27,89 +Sitting,0.5172413793103449,0.29411764705882354,0.375,51.0,29,51 +Stair up,0.5789473684210527,0.6111111111111112,0.5945945945945946,18.0,19,18 +Stair down,0.5882352941176471,0.7142857142857143,0.6451612903225806,14.0,17,14 +Ramp up,0.5882352941176471,0.7142857142857143,0.6451612903225806,14.0,17,14 +Ramp down,0.32142857142857145,0.5625,0.4090909090909091,16.0,28,16 +Grass walking,0.5789473684210527,0.6875,0.6285714285714286,16.0,19,16 +Uneven ground walking,0.37037037037037035,0.5555555555555556,0.4444444444444444,18.0,27,18 +Carry,0.5714285714285714,0.7741935483870968,0.6575342465753424,31.0,42,31 +accuracy,0.44357976653696496,0.44357976653696496,0.44357976653696496,0.44357976653696496,0,0 +macro avg,0.49830032893920306,0.549414809778582,0.5008503082692743,514.0,0,0 +weighted avg,0.4761526767091495,0.44357976653696496,0.4297807545238121,514.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc3c12c31fa46f240f0cd2b749fa6f14c8fd406e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1533,8,18,0,41,17,23,20,29,39,30 +Sit to stand,82,100,3,11,0,0,0,0,0,0,0 +Stand to sit,57,102,62,19,0,0,0,0,0,0,0 +Sitting,3,46,2,158,0,0,0,0,0,0,0 +Stair up,2,0,0,0,148,0,0,6,0,0,0 +Stair down,24,0,0,0,0,114,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,196,0,0,0,0 +Ramp down,20,0,0,0,1,0,0,219,0,0,0 +Grass walking,39,0,0,0,0,0,0,0,260,3,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,272,0 +Carry,29,0,0,2,0,0,0,0,0,0,820 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..be069f44c7f45e9691b7b1708808b0f2af24d524 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1472,1,8,0,33,10,16,7,20,24,13 +Sit to stand,39,57,2,7,0,0,0,0,0,0,0 +Stand to sit,44,52,46,12,0,0,0,0,0,0,0 +Sitting,1,19,1,145,0,0,0,0,0,0,0 +Stair up,2,0,0,0,137,0,0,1,0,0,0 +Stair down,18,0,0,0,0,106,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,186,0,0,0,0 +Ramp down,15,0,0,0,0,0,0,209,0,0,0 +Grass walking,37,0,0,0,0,0,0,0,249,2,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,262,0 +Carry,22,0,0,2,0,0,0,0,0,0,796 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..cf54d8e167e58ff05fc0af905434ff0113ff2d71 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,61,7,10,0,8,7,7,13,9,15,17 +Sit to stand,43,43,1,4,0,0,0,0,0,0,0 +Stand to sit,13,50,16,7,0,0,0,0,0,0,0 +Sitting,2,27,1,13,0,0,0,0,0,0,0 +Stair up,0,0,0,0,11,0,0,5,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,10,0,0,0,0 +Ramp down,5,0,0,0,1,0,0,10,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,11,1,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,10,0 +Carry,7,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..084f309d6c3caf6acfc1a37539d12d4a1ff0862b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8483674598782512,0.8720136518771331,0.8600280504908836,1758.0,1807,1758 +Sit to stand,0.390625,0.5102040816326531,0.4424778761061947,196.0,256,196 +Stand to sit,0.7294117647058823,0.25833333333333336,0.38153846153846155,240.0,85,240 +Sitting,0.8315789473684211,0.7559808612440191,0.7919799498746867,209.0,190,209 +Stair up,0.7789473684210526,0.9487179487179487,0.8554913294797688,156.0,190,156 +Stair down,0.8702290076335878,0.8260869565217391,0.8475836431226765,138.0,131,138 +Ramp up,0.8949771689497716,0.9655172413793104,0.9289099526066351,203.0,219,203 +Ramp down,0.8938775510204081,0.9125,0.9030927835051547,240.0,245,240 +Grass walking,0.8996539792387543,0.8609271523178808,0.8798646362098139,302.0,289,302 +Uneven ground walking,0.8662420382165605,0.9611307420494699,0.9112227805695142,283.0,314,283 +Carry,0.9647058823529412,0.963572267920094,0.9641387419165197,851.0,850,851 +accuracy,0.8483391608391608,0.8483391608391608,0.8483391608391608,0.8483391608391608,0,0 +macro avg,0.8153287425259665,0.8031803851812346,0.7969389277654827,4576.0,0,0 +weighted avg,0.850628582275337,0.8483391608391608,0.8425610646307867,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3ecb83cefdcfbb9e8776ddc92b2342d540de569b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.887816646562123,0.9177057356608479,0.9025137952176578,1604.0,1658,1604 +Sit to stand,0.4418604651162791,0.5428571428571428,0.48717948717948717,105.0,129,105 +Stand to sit,0.8070175438596491,0.2987012987012987,0.43601895734597157,154.0,57,154 +Sitting,0.8734939759036144,0.8734939759036144,0.8734939759036144,166.0,166,166 +Stair up,0.8058823529411765,0.9785714285714285,0.8838709677419355,140.0,170,140 +Stair down,0.9137931034482759,0.8548387096774194,0.8833333333333333,124.0,116,124 +Ramp up,0.9207920792079208,0.9789473684210527,0.9489795918367347,190.0,202,190 +Ramp down,0.9631336405529954,0.9330357142857143,0.9478458049886621,224.0,217,224 +Grass walking,0.9256505576208178,0.8645833333333334,0.8940754039497307,288.0,269,288 +Uneven ground walking,0.9097222222222222,0.9849624060150376,0.9458483754512635,266.0,288,266 +Carry,0.9839307787391842,0.9707317073170731,0.9772866789441375,820.0,809,820 +accuracy,0.8980641999509924,0.8980641999509924,0.8980641999509924,0.8980641999509924,0,0 +macro avg,0.857553942379478,0.8362208018858147,0.8345860338084116,4081.0,0,0 +weighted avg,0.8997689210296508,0.8980641999509924,0.8937260979268916,4081.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..dec47b751d66da87acfc745123d98910467bb9c0 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.40939597315436244,0.3961038961038961,0.40264026402640263,154.0,149,154 +Sit to stand,0.33858267716535434,0.4725274725274725,0.3944954128440367,91.0,127,91 +Stand to sit,0.5714285714285714,0.18604651162790697,0.2807017543859649,86.0,28,86 +Sitting,0.5416666666666666,0.3023255813953488,0.3880597014925373,43.0,24,43 +Stair up,0.55,0.6875,0.6111111111111112,16.0,20,16 +Stair down,0.5333333333333333,0.5714285714285714,0.5517241379310345,14.0,15,14 +Ramp up,0.5882352941176471,0.7692307692307693,0.6666666666666666,13.0,17,13 +Ramp down,0.35714285714285715,0.625,0.45454545454545453,16.0,28,16 +Grass walking,0.55,0.7857142857142857,0.6470588235294118,14.0,20,14 +Uneven ground walking,0.38461538461538464,0.5882352941176471,0.46511627906976744,17.0,26,17 +Carry,0.5853658536585366,0.7741935483870968,0.6666666666666666,31.0,41,31 +accuracy,0.4383838383838384,0.4383838383838384,0.4383838383838384,0.4383838383838384,0,0 +macro avg,0.49179696466206485,0.5598459936848177,0.5026169338426413,495.0,0,0 +weighted avg,0.4612229121286886,0.4383838383838384,0.4238512684014466,495.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc9cabaac8c560941e3ee7a58f46b583a260c14a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1543,9,16,0,39,13,29,19,27,36,32 +Sit to stand,73,99,7,7,0,0,0,0,0,0,0 +Stand to sit,70,83,67,17,0,0,0,0,0,0,0 +Sitting,3,54,0,158,0,0,0,0,0,0,0 +Stair up,3,0,0,0,151,0,0,4,0,0,0 +Stair down,28,0,0,0,0,108,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,194,0,0,0,0 +Ramp down,29,0,0,0,2,0,0,211,0,0,0 +Grass walking,49,0,0,0,0,0,0,0,251,4,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,274,0 +Carry,30,0,0,2,0,0,0,0,0,0,818 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c0a5ac77adf928e79ed53df2a14688637d45c82 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1470,2,6,0,32,7,19,8,19,24,12 +Sit to stand,32,60,4,5,0,0,0,0,0,0,0 +Stand to sit,45,40,54,13,0,0,0,0,0,0,0 +Sitting,1,21,0,142,0,0,0,0,0,0,0 +Stair up,2,0,0,0,139,0,0,1,0,0,0 +Stair down,23,0,0,0,0,99,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,182,0,0,0,0 +Ramp down,22,0,0,0,1,0,0,203,0,0,0 +Grass walking,44,0,0,0,0,0,0,0,244,2,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,262,0 +Carry,22,0,0,2,0,0,0,0,0,0,794 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..93f10b0bb584641f2698b7ff512d1d903e96adf7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,73,7,10,0,7,6,10,11,8,12,20 +Sit to stand,41,39,3,2,0,0,0,0,0,0,0 +Stand to sit,25,43,13,4,0,0,0,0,0,0,0 +Sitting,2,33,0,16,0,0,0,0,0,0,0 +Stair up,1,0,0,0,12,0,0,3,0,0,0 +Stair down,5,0,0,0,0,9,0,0,0,0,0 +Ramp up,2,0,0,0,0,0,12,0,0,0,0 +Ramp down,7,0,0,0,1,0,0,8,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,7,2,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,12,0 +Carry,8,0,0,0,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b00a834251b0d6fc2e831af84392f903bc17957c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8363143631436314,0.8752127056154283,0.8553215077605322,1763.0,1845,1763 +Sit to stand,0.40408163265306124,0.532258064516129,0.4593967517401392,186.0,245,186 +Stand to sit,0.7444444444444445,0.28270042194092826,0.40978593272171254,237.0,90,237 +Sitting,0.8586956521739131,0.7348837209302326,0.7919799498746867,215.0,184,215 +Stair up,0.7864583333333334,0.9556962025316456,0.8628571428571429,158.0,192,158 +Stair down,0.8925619834710744,0.7941176470588235,0.8404669260700389,136.0,121,136 +Ramp up,0.8699551569506726,0.9651741293532339,0.9150943396226415,201.0,223,201 +Ramp down,0.9017094017094017,0.871900826446281,0.8865546218487395,242.0,234,242 +Grass walking,0.9028776978417267,0.8256578947368421,0.8625429553264605,304.0,278,304 +Uneven ground walking,0.8726114649681529,0.9647887323943662,0.9163879598662207,284.0,314,284 +Carry,0.9623529411764706,0.9623529411764706,0.9623529411764706,850.0,850,850 +accuracy,0.8465909090909091,0.8465909090909091,0.8465909090909091,0.8465909090909091,0,0 +macro avg,0.8210966428968984,0.7967948442454893,0.7966128208058897,4576.0,0,0 +weighted avg,0.8500118638157232,0.8465909090909091,0.841424152004663,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..67c4a31fc30201c3a72b53d02c048823c5fffb2f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8797127468581688,0.9193245778611632,0.8990825688073395,1599.0,1671,1599 +Sit to stand,0.4878048780487805,0.594059405940594,0.5357142857142857,101.0,123,101 +Stand to sit,0.84375,0.35526315789473684,0.5,152.0,64,152 +Sitting,0.8765432098765432,0.8658536585365854,0.8711656441717791,164.0,162,164 +Stair up,0.8081395348837209,0.9788732394366197,0.8853503184713376,142.0,172,142 +Stair down,0.9339622641509434,0.8114754098360656,0.868421052631579,122.0,106,122 +Ramp up,0.9054726368159204,0.9732620320855615,0.9381443298969072,187.0,201,187 +Ramp down,0.9575471698113207,0.8982300884955752,0.9269406392694064,226.0,212,226 +Grass walking,0.9277566539923955,0.8413793103448276,0.8824593128390597,290.0,263,290 +Uneven ground walking,0.9097222222222222,0.9812734082397003,0.9441441441441442,267.0,288,267 +Carry,0.9851116625310173,0.9706601466992665,0.9778325123152709,818.0,806,818 +accuracy,0.8970009832841691,0.8970009832841691,0.8970009832841691,0.8970009832841691,0,0 +macro avg,0.865047543562821,0.8354231304882451,0.8390231643873736,4068.0,0,0 +weighted avg,0.8997362138427314,0.8970009832841691,0.8935758864595739,4068.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d6dd91b32cf0b90d2ef390358d6cfab522042f10 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.41954022988505746,0.4451219512195122,0.4319526627218935,164.0,174,164 +Sit to stand,0.319672131147541,0.4588235294117647,0.37681159420289856,85.0,122,85 +Stand to sit,0.5,0.15294117647058825,0.23423423423423423,85.0,26,85 +Sitting,0.7272727272727273,0.3137254901960784,0.4383561643835616,51.0,22,51 +Stair up,0.6,0.75,0.6666666666666666,16.0,20,16 +Stair down,0.6,0.6428571428571429,0.6206896551724138,14.0,15,14 +Ramp up,0.5454545454545454,0.8571428571428571,0.6666666666666666,14.0,22,14 +Ramp down,0.36363636363636365,0.5,0.42105263157894735,16.0,22,16 +Grass walking,0.4666666666666667,0.5,0.4827586206896552,14.0,15,14 +Uneven ground walking,0.46153846153846156,0.7058823529411765,0.5581395348837209,17.0,26,17 +Carry,0.5454545454545454,0.75,0.631578947368421,32.0,44,32 +accuracy,0.44291338582677164,0.44291338582677164,0.44291338582677164,0.44291338582677164,0,0 +macro avg,0.5044759700959918,0.5524085909308292,0.5026279435062799,508.0,0,0 +weighted avg,0.47018940163027073,0.44291338582677164,0.42720337177805773,508.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..3448a43fcfd1ec5edea27958cd3462d6fc337e03 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1552,5,14,1,39,14,25,19,26,32,27 +Sit to stand,67,105,9,7,0,0,0,0,0,0,0 +Stand to sit,84,68,67,19,0,0,0,0,0,0,0 +Sitting,2,58,1,152,0,0,0,0,0,0,0 +Stair up,3,0,0,0,152,0,0,2,0,0,0 +Stair down,34,0,0,0,0,104,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,195,0,0,0,0 +Ramp down,26,0,0,0,1,0,0,213,0,0,0 +Grass walking,49,0,0,0,0,0,0,0,252,5,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,273,0 +Carry,33,0,0,2,0,0,0,0,0,0,819 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..bc7313a2eff52b50e25dbf3838c4e8b80dd58800 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1484,1,5,1,32,6,17,6,18,21,9 +Sit to stand,29,65,5,3,0,0,0,0,0,0,0 +Stand to sit,54,33,51,11,0,0,0,0,0,0,0 +Sitting,2,24,0,140,0,0,0,0,0,0,0 +Stair up,2,0,0,0,139,0,0,1,0,0,0 +Stair down,28,0,0,0,0,96,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,184,0,0,0,0 +Ramp down,20,0,0,0,0,0,0,203,0,0,0 +Grass walking,45,0,0,0,0,0,0,0,244,1,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,261,0 +Carry,26,0,0,1,0,0,0,0,0,0,794 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..e9c8e30d6e8f0ec35bfa172aed6b2e1d282b9315 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,68,4,9,0,7,8,8,13,8,11,18 +Sit to stand,38,40,4,4,0,0,0,0,0,0,0 +Stand to sit,30,35,16,8,0,0,0,0,0,0,0 +Sitting,0,34,1,12,0,0,0,0,0,0,0 +Stair up,1,0,0,0,13,0,0,1,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,11,0,0,0,0 +Ramp down,6,0,0,0,1,0,0,10,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,8,4,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,12,0 +Carry,7,0,0,1,0,0,0,0,0,0,25 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..7a926ea429e9adac46d96887f8d9daac64534d29 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8299465240641711,0.8848346636259977,0.8565121412803532,1754.0,1870,1754 +Sit to stand,0.4449152542372881,0.5585106382978723,0.49528301886792453,188.0,236,188 +Stand to sit,0.7362637362637363,0.2815126050420168,0.4072948328267477,238.0,91,238 +Sitting,0.8397790055248618,0.7136150234741784,0.7715736040609137,213.0,181,213 +Stair up,0.7916666666666666,0.9681528662420382,0.8710601719197708,157.0,192,157 +Stair down,0.8813559322033898,0.7536231884057971,0.8125,138.0,118,138 +Ramp up,0.8863636363636364,0.9558823529411765,0.9198113207547169,204.0,220,204 +Ramp down,0.9102564102564102,0.8875,0.8987341772151899,240.0,234,240 +Grass walking,0.9064748201438849,0.8235294117647058,0.863013698630137,306.0,278,306 +Uneven ground walking,0.8806451612903226,0.9612676056338029,0.9191919191919192,284.0,310,284 +Carry,0.9680851063829787,0.9590163934426229,0.9635294117647059,854.0,846,854 +accuracy,0.8487762237762237,0.8487762237762237,0.8487762237762237,0.8487762237762237,0,0 +macro avg,0.825068386672486,0.7952222498972916,0.7980458451374891,4576.0,0,0 +weighted avg,0.8507215200228868,0.8487762237762237,0.8428590088868111,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2bb374c8294802598bd47e9fbfef8f057d850a3d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8724279835390947,0.9275,0.899121478339897,1600.0,1701,1600 +Sit to stand,0.5284552845528455,0.6372549019607843,0.5777777777777777,102.0,123,102 +Stand to sit,0.8360655737704918,0.3422818791946309,0.4857142857142857,149.0,61,149 +Sitting,0.8974358974358975,0.8433734939759037,0.8695652173913043,166.0,156,166 +Stair up,0.8128654970760234,0.9788732394366197,0.8881789137380192,142.0,171,142 +Stair down,0.9411764705882353,0.7741935483870968,0.8495575221238938,124.0,102,124 +Ramp up,0.9154228855721394,0.9735449735449735,0.9435897435897436,189.0,201,189 +Ramp down,0.9666666666666667,0.9103139013452914,0.9376443418013857,223.0,210,223 +Grass walking,0.9312977099236641,0.8413793103448276,0.8840579710144928,290.0,262,290 +Uneven ground walking,0.9222614840989399,0.9775280898876404,0.9490909090909091,267.0,283,267 +Carry,0.9887920298879203,0.9671132764920828,0.9778325123152709,821.0,803,821 +accuracy,0.8988460594156641,0.8988460594156641,0.8988460594156641,0.8988460594156641,0,0 +macro avg,0.8738970439192651,0.833941510415441,0.8420118793542709,4073.0,0,0 +weighted avg,0.9015880495460112,0.8988460594156641,0.8950972792836236,4073.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8eb21afe2d51fe3351404facb8f47a5b42ea0475 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.40236686390532544,0.44155844155844154,0.42105263157894735,154.0,169,154 +Sit to stand,0.35398230088495575,0.46511627906976744,0.4020100502512563,86.0,113,86 +Stand to sit,0.5333333333333333,0.1797752808988764,0.2689075630252101,89.0,30,89 +Sitting,0.48,0.2553191489361702,0.3333333333333333,47.0,25,47 +Stair up,0.6190476190476191,0.8666666666666667,0.7222222222222222,15.0,21,15 +Stair down,0.5,0.5714285714285714,0.5333333333333333,14.0,16,14 +Ramp up,0.5789473684210527,0.7333333333333333,0.6470588235294118,15.0,19,15 +Ramp down,0.4166666666666667,0.5882352941176471,0.4878048780487805,17.0,24,17 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.4444444444444444,0.7058823529411765,0.5454545454545454,17.0,27,17 +Carry,0.5813953488372093,0.7575757575757576,0.6578947368421053,33.0,43,33 +accuracy,0.4433399602385686,0.4433399602385686,0.4433399602385686,0.4433399602385686,0,0 +macro avg,0.49183490414005515,0.551353738775128,0.5017338288744677,503.0,0,0 +weighted avg,0.4557226675879519,0.4433399602385686,0.4260362390237843,503.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ba078785a8d6c4fbe49e5e16c9ba68e356085ab --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1573,2,9,1,37,8,22,19,27,33,34 +Sit to stand,67,104,6,7,0,0,0,0,0,0,0 +Stand to sit,121,26,65,25,0,0,0,0,0,0,0 +Sitting,10,54,1,151,0,0,0,0,0,0,0 +Stair up,7,0,0,0,146,0,0,5,0,0,0 +Stair down,36,0,0,0,0,102,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,193,0,0,0,0 +Ramp down,29,0,0,0,2,0,0,208,0,0,0 +Grass walking,50,0,0,0,0,0,0,0,253,2,0 +Uneven ground walking,24,0,0,0,0,0,0,0,0,259,0 +Carry,36,0,0,2,0,0,0,0,0,0,812 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1d499537ff3847e2d229aa2377306956691abb00 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1491,2,2,1,31,3,14,7,19,20,13 +Sit to stand,29,64,2,3,0,0,0,0,0,0,0 +Stand to sit,79,6,47,16,0,0,0,0,0,0,0 +Sitting,3,30,0,132,0,0,0,0,0,0,0 +Stair up,4,0,0,0,134,0,0,2,0,0,0 +Stair down,30,0,0,0,0,94,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,183,0,0,0,0 +Ramp down,21,0,0,0,1,0,0,201,0,0,0 +Grass walking,43,0,0,0,0,0,0,0,245,1,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,251,0 +Carry,30,0,0,1,0,0,0,0,0,0,788 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..208b58e8a5d0072658abda9d9fda5be4a6b3c800 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,82,0,7,0,6,5,8,12,8,13,21 +Sit to stand,38,40,4,4,0,0,0,0,0,0,0 +Stand to sit,42,20,18,9,0,0,0,0,0,0,0 +Sitting,7,24,1,19,0,0,0,0,0,0,0 +Stair up,3,0,0,0,12,0,0,3,0,0,0 +Stair down,6,0,0,0,0,8,0,0,0,0,0 +Ramp up,4,0,0,0,0,0,10,0,0,0,0 +Ramp down,8,0,0,0,1,0,0,7,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,8,1,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,8,0 +Carry,6,0,0,1,0,0,0,0,0,0,24 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..0c00791c4099af4aa88ff6740c3c57fc2897be4c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8021417644059153,0.8912181303116147,0.8443370907139023,1765.0,1961,1765 +Sit to stand,0.5591397849462365,0.5652173913043478,0.5621621621621622,184.0,186,184 +Stand to sit,0.8024691358024691,0.2742616033755274,0.4088050314465409,237.0,81,237 +Sitting,0.8118279569892473,0.6990740740740741,0.7512437810945274,216.0,186,216 +Stair up,0.7891891891891892,0.9240506329113924,0.8513119533527697,158.0,185,158 +Stair down,0.9272727272727272,0.7391304347826086,0.8225806451612904,138.0,110,138 +Ramp up,0.8976744186046511,0.9601990049751243,0.9278846153846154,201.0,215,201 +Ramp down,0.896551724137931,0.8702928870292888,0.8832271762208068,239.0,232,239 +Grass walking,0.9035714285714286,0.8295081967213115,0.864957264957265,305.0,280,305 +Uneven ground walking,0.8809523809523809,0.9151943462897526,0.8977469670710572,283.0,294,283 +Carry,0.9598108747044918,0.9552941176470588,0.9575471698113207,850.0,846,850 +accuracy,0.8448426573426573,0.8448426573426573,0.8448426573426573,0.8448426573426573,0,0 +macro avg,0.8391455805069697,0.7839491654020093,0.7974367143069326,4576.0,0,0 +weighted avg,0.8462202709764133,0.8448426573426573,0.8370317361059653,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a9ed4b2ce918f709b3de0f6e6a7767567c11c4d3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.852974828375286,0.9301310043668122,0.8898836168307968,1603.0,1748,1603 +Sit to stand,0.6274509803921569,0.6530612244897959,0.64,98.0,102,98 +Stand to sit,0.9215686274509803,0.31756756756756754,0.4723618090452261,148.0,51,148 +Sitting,0.8627450980392157,0.8,0.8301886792452831,165.0,153,165 +Stair up,0.8072289156626506,0.9571428571428572,0.8758169934640523,140.0,166,140 +Stair down,0.9690721649484536,0.7580645161290323,0.8506787330316742,124.0,97,124 +Ramp up,0.9289340101522843,0.9786096256684492,0.953125,187.0,197,187 +Ramp down,0.9571428571428572,0.9013452914798207,0.9284064665127021,223.0,210,223 +Grass walking,0.928030303030303,0.8477508650519031,0.8860759493670886,289.0,264,289 +Uneven ground walking,0.9227941176470589,0.9471698113207547,0.9348230912476723,265.0,272,265 +Carry,0.9837702871410736,0.9621489621489622,0.9728395061728395,819.0,801,819 +accuracy,0.8938685052942625,0.8938685052942625,0.8938685052942625,0.8938685052942625,0,0 +macro avg,0.8874283809074835,0.8229992477605415,0.8394727131743032,4061.0,0,0 +weighted avg,0.8978905495227066,0.8938685052942625,0.8889488551367735,4061.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..03224b6e33f2bc8ad94f668f30502c30088469b7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.38497652582159625,0.5061728395061729,0.43733333333333335,162.0,213,162 +Sit to stand,0.47619047619047616,0.46511627906976744,0.47058823529411764,86.0,84,86 +Stand to sit,0.6,0.20224719101123595,0.3025210084033613,89.0,30,89 +Sitting,0.5757575757575758,0.37254901960784315,0.4523809523809524,51.0,33,51 +Stair up,0.631578947368421,0.6666666666666666,0.6486486486486487,18.0,19,18 +Stair down,0.6153846153846154,0.5714285714285714,0.5925925925925926,14.0,13,14 +Ramp up,0.5555555555555556,0.7142857142857143,0.625,14.0,18,14 +Ramp down,0.3181818181818182,0.4375,0.3684210526315789,16.0,22,16 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.36363636363636365,0.4444444444444444,0.4,18.0,22,18 +Carry,0.5333333333333333,0.7741935483870968,0.631578947368421,31.0,45,31 +accuracy,0.458252427184466,0.458252427184466,0.458252427184466,0.458252427184466,0,0 +macro avg,0.5049632010208868,0.5140549340370467,0.493551342786637,515.0,0,0 +weighted avg,0.4854630969215667,0.458252427184466,0.4479806655089711,515.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..8a6cdd076e02fcd5d367b42f5e8bc6fdb2cf6913 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1562,2,16,6,27,1,24,19,33,29,48 +Sit to stand,131,32,2,19,0,0,0,0,0,0,0 +Stand to sit,141,7,48,41,0,0,0,0,0,0,0 +Sitting,45,32,3,134,0,0,0,0,0,0,0 +Stair up,9,0,0,0,136,0,0,13,0,0,0 +Stair down,46,0,0,0,0,92,0,0,0,0,0 +Ramp up,12,0,0,0,0,0,189,0,0,0,0 +Ramp down,26,0,0,0,0,0,0,213,0,0,0 +Grass walking,51,0,0,0,0,0,0,0,250,4,0 +Uneven ground walking,25,0,0,0,0,0,0,0,0,258,0 +Carry,53,0,0,1,0,0,0,0,0,0,796 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b5007f56b14374c9bff31d7c332f20341c65c144 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1478,1,5,5,21,0,18,6,25,18,29 +Sit to stand,67,20,0,11,0,0,0,0,0,0,0 +Stand to sit,78,3,34,33,0,0,0,0,0,0,0 +Sitting,22,24,1,116,0,0,0,0,0,0,0 +Stair up,7,0,0,0,126,0,0,7,0,0,0 +Stair down,36,0,0,0,0,88,0,0,0,0,0 +Ramp up,5,0,0,0,0,0,182,0,0,0,0 +Ramp down,18,0,0,0,0,0,0,206,0,0,0 +Grass walking,44,0,0,0,0,0,0,0,242,3,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,249,0 +Carry,40,0,0,0,0,0,0,0,0,0,779 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2c224b889b6cd645e26a247ecab1ad5f990e2db4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,84,1,11,1,6,1,6,13,8,11,19 +Sit to stand,64,12,2,8,0,0,0,0,0,0,0 +Stand to sit,63,4,14,8,0,0,0,0,0,0,0 +Sitting,23,8,2,18,0,0,0,0,0,0,0 +Stair up,2,0,0,0,10,0,0,6,0,0,0 +Stair down,10,0,0,0,0,4,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,7,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,7,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,8,1,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,9,0 +Carry,13,0,0,1,0,0,0,0,0,0,17 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..1e1d4e08dba606618ab27263094d1e95394c72bf --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.743455497382199,0.8839841539332202,0.8076525336091003,1767.0,2101,1767 +Sit to stand,0.4383561643835616,0.17391304347826086,0.2490272373540856,184.0,73,184 +Stand to sit,0.6956521739130435,0.20253164556962025,0.3137254901960784,237.0,69,237 +Sitting,0.6666666666666666,0.6261682242990654,0.6457831325301204,214.0,201,214 +Stair up,0.8343558282208589,0.8607594936708861,0.8473520249221184,158.0,163,158 +Stair down,0.989247311827957,0.6666666666666666,0.7965367965367965,138.0,93,138 +Ramp up,0.8873239436619719,0.9402985074626866,0.9130434782608695,201.0,213,201 +Ramp down,0.8693877551020408,0.891213389121339,0.8801652892561983,239.0,245,239 +Grass walking,0.8833922261484098,0.819672131147541,0.8503401360544217,305.0,283,305 +Uneven ground walking,0.8865979381443299,0.911660777385159,0.8989547038327527,283.0,291,283 +Carry,0.943127962085308,0.9364705882352942,0.9397874852420307,850.0,844,850 +accuracy,0.8107517482517482,0.8107517482517482,0.8107517482517482,0.8107517482517482,0,0 +macro avg,0.8034148606851225,0.7193944200881581,0.7402153007085975,4576.0,0,0 +weighted avg,0.8038374954729456,0.8107517482517482,0.7945270533998647,4576.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..add1a48ef56da7d79834049121ec83454ad5c9f7 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.816123688569851,0.9202988792029888,0.865086333040679,1606.0,1811,1606 +Sit to stand,0.4166666666666667,0.20408163265306123,0.273972602739726,98.0,48,98 +Stand to sit,0.85,0.22972972972972974,0.3617021276595745,148.0,40,148 +Sitting,0.703030303030303,0.7116564417177914,0.7073170731707317,163.0,165,163 +Stair up,0.8571428571428571,0.9,0.8780487804878049,140.0,147,140 +Stair down,1.0,0.7096774193548387,0.8301886792452831,124.0,88,124 +Ramp up,0.91,0.9732620320855615,0.9405684754521964,187.0,200,187 +Ramp down,0.9406392694063926,0.9196428571428571,0.9300225733634312,224.0,219,224 +Grass walking,0.9063670411985019,0.8373702422145328,0.8705035971223022,289.0,267,289 +Uneven ground walking,0.9222222222222223,0.939622641509434,0.930841121495327,265.0,270,265 +Carry,0.9641089108910891,0.9511599511599511,0.9575906576521205,819.0,808,819 +accuracy,0.8663549101649027,0.8663549101649027,0.8663549101649027,0.8663549101649027,0,0 +macro avg,0.8442091781025348,0.7542274387973407,0.7768947292208341,4063.0,0,0 +weighted avg,0.8645654134217432,0.8663549101649027,0.8559191080412604,4063.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..327057642293c1c1957c6bd66f85cc282f233c2a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/subject_Subject26/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.2896551724137931,0.5217391304347826,0.37250554323725055,161.0,290,161 +Sit to stand,0.48,0.13953488372093023,0.21621621621621623,86.0,25,86 +Stand to sit,0.4827586206896552,0.15730337078651685,0.23728813559322035,89.0,29,89 +Sitting,0.5,0.35294117647058826,0.41379310344827586,51.0,36,51 +Stair up,0.625,0.5555555555555556,0.5882352941176471,18.0,16,18 +Stair down,0.8,0.2857142857142857,0.42105263157894735,14.0,5,14 +Ramp up,0.5384615384615384,0.5,0.5185185185185185,14.0,13,14 +Ramp down,0.2692307692307692,0.4666666666666667,0.34146341463414637,15.0,26,15 +Grass walking,0.5,0.5,0.5,16.0,16,16 +Uneven ground walking,0.42857142857142855,0.5,0.46153846153846156,18.0,21,18 +Carry,0.4722222222222222,0.5483870967741935,0.5074626865671642,31.0,36,31 +accuracy,0.37037037037037035,0.37037037037037035,0.37037037037037035,0.37037037037037035,0,0 +macro avg,0.48962725014449154,0.4116220151021382,0.4161885459499862,513.0,0,0 +weighted avg,0.4303315744251417,0.37037037037037035,0.3541779680423379,513.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2530284d11c6f5a17fc957d4fd159d70ada0fac --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/per_subject_results/test_subject_results.csv @@ -0,0 +1,9 @@ +subject,accuracy_0.0s,macro_f1_0.0s,weighted_f1_0.0s,steady_macro_f1_0.0s,transition_macro_f1_0.0s,accuracy_0.1s,macro_f1_0.1s,weighted_f1_0.1s,steady_macro_f1_0.1s,transition_macro_f1_0.1s,accuracy_0.2s,macro_f1_0.2s,weighted_f1_0.2s,steady_macro_f1_0.2s,transition_macro_f1_0.2s,accuracy_0.3s,macro_f1_0.3s,weighted_f1_0.3s,steady_macro_f1_0.3s,transition_macro_f1_0.3s,accuracy_0.5s,macro_f1_0.5s,weighted_f1_0.5s,steady_macro_f1_0.5s,transition_macro_f1_0.5s,accuracy_1.0s,macro_f1_1.0s,weighted_f1_1.0s,steady_macro_f1_1.0s,transition_macro_f1_1.0s +Subject05,0.8421266233766234,0.8151916492931893,0.8408439757973802,0.8407153048254883,0.5351801766188992,0.8459821428571429,0.8234333977027686,0.8456896697735506,0.8504083436058316,0.5304197174716556,0.8469967532467533,0.8259088171761331,0.8472372747297934,0.8538896459295267,0.5241361697375279,0.8504464285714286,0.8361510843882131,0.8508644636668359,0.862206274100118,0.5465159555820271,0.8291396103896104,0.8151290887792086,0.8281932000143616,0.8407895777694246,0.5281032487623395,0.7769886363636364,0.7485249690402433,0.7657138905776409,0.7716141829586696,0.45672794471522205 +Subject06,0.8668269230769231,0.8392755512141462,0.8652590173048504,0.8659919438590884,0.532944018154285,0.8663461538461539,0.841658262177145,0.8644278122977009,0.8646441086784296,0.5628420721700352,0.8632211538461538,0.8377555300450539,0.8605529652140409,0.8610447069743089,0.5494900041324173,0.8591346153846153,0.833054947201336,0.8557717865606034,0.8584939949957033,0.5213252806115144,0.838701923076923,0.795025406521573,0.8302551879515757,0.8243032357624884,0.5008753256913355,0.7983173076923077,0.7267507924166481,0.7808715147466216,0.7529708338350346,0.3747273182507719 +Subject07,0.825,0.7830373277845749,0.8201390599354226,0.8128327896955218,0.5275541934599438,0.82575,0.7828634818629063,0.8200427397255259,0.8183214517924378,0.5107660256831998,0.825,0.7800939174178396,0.8183547759089803,0.8158654859721589,0.5178399699591094,0.821875,0.7759467968166995,0.8140473223805739,0.8118331641185378,0.5092640407316125,0.80375,0.7546922967345139,0.7942040780943652,0.7836113814972204,0.5050529365583499,0.7785,0.7068415375972831,0.758073520642283,0.733647940672281,0.43966099667672315 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b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..b5113bf096e5b5abeaf1bb2b25665ffe1a3d91be --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9158,85,154,57,281,213,99,87,109,216,420 +Sit to stand,312,633,201,122,0,0,0,0,0,0,0 +Stand to sit,272,355,783,154,0,0,0,0,0,0,0 +Sitting,24,196,51,2056,0,0,0,0,0,0,0 +Stair up,23,0,0,0,965,0,0,10,0,0,0 +Stair down,58,1,0,11,0,801,0,0,0,0,0 +Ramp up,92,0,0,6,7,1,1259,3,0,0,0 +Ramp down,149,0,15,0,3,2,175,1234,0,0,0 +Grass walking,73,1,0,0,0,0,0,0,1408,3,0 +Uneven ground walking,23,1,21,0,0,0,0,0,0,1658,0 +Carry,299,0,0,2,0,0,0,0,0,0,4650 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..017d7e7df6a3f1836ff85fae7bb9d8cd1f1f0935 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8745,54,71,57,217,157,62,46,63,148,328 +Sit to stand,142,458,148,41,0,0,0,0,0,0,0 +Stand to sit,162,223,639,61,0,0,0,0,0,0,0 +Sitting,16,104,29,1850,0,0,0,0,0,0,0 +Stair up,16,0,0,0,891,0,0,2,0,0,0 +Stair down,39,0,0,11,0,745,0,0,0,0,0 +Ramp up,58,0,0,6,7,0,1220,3,0,0,0 +Ramp down,111,0,13,0,0,2,172,1196,0,0,0 +Grass walking,50,1,0,0,0,0,0,0,1352,1,0 +Uneven ground walking,9,0,21,0,0,0,0,0,0,1588,0 +Carry,245,0,0,2,0,0,0,0,0,0,4535 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..06c8130fef695e5732dc61dcd90d67b636757671 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,413,31,83,0,64,56,37,41,46,68,92 +Sit to stand,170,175,53,81,0,0,0,0,0,0,0 +Stand to sit,110,132,144,93,0,0,0,0,0,0,0 +Sitting,8,92,22,206,0,0,0,0,0,0,0 +Stair up,7,0,0,0,74,0,0,8,0,0,0 +Stair down,19,1,0,0,0,56,0,0,0,0,0 +Ramp up,34,0,0,0,0,1,39,0,0,0,0 +Ramp down,38,0,2,0,3,0,3,38,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,56,2,0 +Uneven ground walking,14,1,0,0,0,0,0,0,0,70,0 +Carry,54,0,0,0,0,0,0,0,0,0,115 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..032faeaee4cf7f39c2ca2712eb96ac88bc7e0530 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8736048840980636,0.8418053129883262,0.8574103548356895,10879.0,10483,10879 +Sit to stand,0.49764150943396224,0.499211356466877,0.4984251968503937,1268.0,1272,1268 +Stand to sit,0.6391836734693878,0.5006393861892583,0.5614915740408749,1564.0,1225,1564 +Sitting,0.8538205980066446,0.883541039965621,0.8684266103484688,2327.0,2408,2327 +Stair up,0.768312101910828,0.966933867735471,0.8562555456965395,998.0,1256,998 +Stair down,0.7876106194690266,0.9196326061997704,0.8485169491525424,871.0,1017,871 +Ramp up,0.8212654924983692,0.9203216374269005,0.8679765598069631,1368.0,1533,1368 +Ramp down,0.9250374812593704,0.7820025348542459,0.8475274725274725,1578.0,1334,1578 +Grass walking,0.9281476598549769,0.9481481481481482,0.9380413057961359,1485.0,1517,1485 +Uneven ground walking,0.8833244539158231,0.9735760422783324,0.9262569832402234,1703.0,1877,1703 +Carry,0.9171597633136095,0.9392042011714805,0.9280510927053188,4951.0,5070,4951 +accuracy,0.8486823951434879,0.8486823951434879,0.8486823951434879,0.8486823951434879,0,0 +macro avg,0.8086462033845511,0.8340923757658575,0.8180345131818748,28992.0,0,0 +weighted avg,0.8478519674196756,0.8486823951434879,0.8465215048384128,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f7cafc211be4bd24c374ced777500b07ef2bc8e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9116022099447514,0.8790711700844391,0.8950411954352387,9948.0,9593,9948 +Sit to stand,0.5452380952380952,0.5804816223067174,0.5623081645181093,789.0,840,789 +Stand to sit,0.6938110749185668,0.5889400921658986,0.6370887337986042,1085.0,921,1085 +Sitting,0.9122287968441815,0.9254627313656828,0.9187981127390117,1999.0,2028,1999 +Stair up,0.7991031390134529,0.9801980198019802,0.8804347826086957,909.0,1115,909 +Stair down,0.8241150442477876,0.9371069182389937,0.8769864626250736,795.0,904,795 +Ramp up,0.8390646492434664,0.9428129829984544,0.8879184861717613,1294.0,1454,1294 +Ramp down,0.9591018444266239,0.8005354752342704,0.8726742064939803,1494.0,1247,1494 +Grass walking,0.9554770318021202,0.9629629629629629,0.9592053919829727,1404.0,1415,1404 +Uneven ground walking,0.9142199194012666,0.9814585908529048,0.9466467958271237,1618.0,1737,1618 +Carry,0.9325519226814724,0.9483479715600167,0.9403836184551582,4782.0,4863,4782 +accuracy,0.8890377914768158,0.8890377914768158,0.8890377914768158,0.8890377914768158,0,0 +macro avg,0.8442285207056169,0.8661253215974838,0.8524987227868845,26117.0,0,0 +weighted avg,0.8904356137607795,0.8890377914768158,0.8883495136410293,26117.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fed48dd5bb76be97f4d217b77d6e2a0e1a16898 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4640449438202247,0.44360902255639095,0.45359692476661173,931.0,890,931 +Sit to stand,0.4050925925925926,0.3653444676409186,0.38419319429198684,479.0,432,479 +Stand to sit,0.47368421052631576,0.30062630480167013,0.367816091954023,479.0,304,479 +Sitting,0.5421052631578948,0.6280487804878049,0.5819209039548022,328.0,380,328 +Stair up,0.524822695035461,0.8314606741573034,0.6434782608695652,89.0,141,89 +Stair down,0.49557522123893805,0.7368421052631579,0.5925925925925926,76.0,113,76 +Ramp up,0.4936708860759494,0.527027027027027,0.5098039215686274,74.0,79,74 +Ramp down,0.4367816091954023,0.4523809523809524,0.4444444444444444,84.0,87,84 +Grass walking,0.5490196078431373,0.691358024691358,0.6120218579234973,81.0,102,81 +Uneven ground walking,0.5,0.8235294117647058,0.6222222222222222,85.0,140,85 +Carry,0.5555555555555556,0.6804733727810651,0.6117021276595744,169.0,207,169 +accuracy,0.4820869565217391,0.4820869565217391,0.4820869565217391,0.4820869565217391,0,0 +macro avg,0.4945775077310428,0.5891545585047594,0.5294356856589043,2875.0,0,0 +weighted avg,0.47625188599822893,0.4820869565217391,0.4718563430628625,2875.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..032faeaee4cf7f39c2ca2712eb96ac88bc7e0530 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8736048840980636,0.8418053129883262,0.8574103548356895,10879.0,10483,10879 +Sit to stand,0.49764150943396224,0.499211356466877,0.4984251968503937,1268.0,1272,1268 +Stand to sit,0.6391836734693878,0.5006393861892583,0.5614915740408749,1564.0,1225,1564 +Sitting,0.8538205980066446,0.883541039965621,0.8684266103484688,2327.0,2408,2327 +Stair up,0.768312101910828,0.966933867735471,0.8562555456965395,998.0,1256,998 +Stair down,0.7876106194690266,0.9196326061997704,0.8485169491525424,871.0,1017,871 +Ramp up,0.8212654924983692,0.9203216374269005,0.8679765598069631,1368.0,1533,1368 +Ramp down,0.9250374812593704,0.7820025348542459,0.8475274725274725,1578.0,1334,1578 +Grass walking,0.9281476598549769,0.9481481481481482,0.9380413057961359,1485.0,1517,1485 +Uneven ground walking,0.8833244539158231,0.9735760422783324,0.9262569832402234,1703.0,1877,1703 +Carry,0.9171597633136095,0.9392042011714805,0.9280510927053188,4951.0,5070,4951 +accuracy,0.8486823951434879,0.8486823951434879,0.8486823951434879,0.8486823951434879,0,0 +macro avg,0.8086462033845511,0.8340923757658575,0.8180345131818748,28992.0,0,0 +weighted avg,0.8478519674196756,0.8486823951434879,0.8465215048384128,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f7cafc211be4bd24c374ced777500b07ef2bc8e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9116022099447514,0.8790711700844391,0.8950411954352387,9948.0,9593,9948 +Sit to stand,0.5452380952380952,0.5804816223067174,0.5623081645181093,789.0,840,789 +Stand to sit,0.6938110749185668,0.5889400921658986,0.6370887337986042,1085.0,921,1085 +Sitting,0.9122287968441815,0.9254627313656828,0.9187981127390117,1999.0,2028,1999 +Stair up,0.7991031390134529,0.9801980198019802,0.8804347826086957,909.0,1115,909 +Stair down,0.8241150442477876,0.9371069182389937,0.8769864626250736,795.0,904,795 +Ramp up,0.8390646492434664,0.9428129829984544,0.8879184861717613,1294.0,1454,1294 +Ramp down,0.9591018444266239,0.8005354752342704,0.8726742064939803,1494.0,1247,1494 +Grass walking,0.9554770318021202,0.9629629629629629,0.9592053919829727,1404.0,1415,1404 +Uneven ground walking,0.9142199194012666,0.9814585908529048,0.9466467958271237,1618.0,1737,1618 +Carry,0.9325519226814724,0.9483479715600167,0.9403836184551582,4782.0,4863,4782 +accuracy,0.8890377914768158,0.8890377914768158,0.8890377914768158,0.8890377914768158,0,0 +macro avg,0.8442285207056169,0.8661253215974838,0.8524987227868845,26117.0,0,0 +weighted avg,0.8904356137607795,0.8890377914768158,0.8883495136410293,26117.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fed48dd5bb76be97f4d217b77d6e2a0e1a16898 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.0s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4640449438202247,0.44360902255639095,0.45359692476661173,931.0,890,931 +Sit to stand,0.4050925925925926,0.3653444676409186,0.38419319429198684,479.0,432,479 +Stand to sit,0.47368421052631576,0.30062630480167013,0.367816091954023,479.0,304,479 +Sitting,0.5421052631578948,0.6280487804878049,0.5819209039548022,328.0,380,328 +Stair up,0.524822695035461,0.8314606741573034,0.6434782608695652,89.0,141,89 +Stair down,0.49557522123893805,0.7368421052631579,0.5925925925925926,76.0,113,76 +Ramp up,0.4936708860759494,0.527027027027027,0.5098039215686274,74.0,79,74 +Ramp down,0.4367816091954023,0.4523809523809524,0.4444444444444444,84.0,87,84 +Grass walking,0.5490196078431373,0.691358024691358,0.6120218579234973,81.0,102,81 +Uneven ground walking,0.5,0.8235294117647058,0.6222222222222222,85.0,140,85 +Carry,0.5555555555555556,0.6804733727810651,0.6117021276595744,169.0,207,169 +accuracy,0.4820869565217391,0.4820869565217391,0.4820869565217391,0.4820869565217391,0,0 +macro avg,0.4945775077310428,0.5891545585047594,0.5294356856589043,2875.0,0,0 +weighted avg,0.47625188599822893,0.4820869565217391,0.4718563430628625,2875.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..c453d5873b0b901ff86c2add8a88c0f86fb4e12c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9221,52,144,60,281,197,93,84,119,200,415 +Sit to stand,299,649,173,162,0,0,0,0,0,0,0 +Stand to sit,323,312,802,127,0,0,0,0,0,0,0 +Sitting,24,231,40,2022,0,0,0,0,0,0,0 +Stair up,23,0,0,0,957,0,0,8,0,0,0 +Stair down,65,1,0,11,0,786,0,0,0,0,0 +Ramp up,94,0,0,6,7,1,1265,3,0,0,0 +Ramp down,152,0,14,0,1,0,184,1238,0,0,0 +Grass walking,74,0,0,0,0,0,0,0,1403,3,0 +Uneven ground walking,25,0,21,0,0,0,0,0,0,1664,0 +Carry,307,0,0,2,0,0,0,0,0,0,4647 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..51129fe60ef28b588e949de933d35377625c929d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8768,37,73,59,220,140,60,42,73,139,328 +Sit to stand,125,484,123,74,0,0,0,0,0,0,0 +Stand to sit,189,191,663,52,0,0,0,0,0,0,0 +Sitting,19,114,22,1828,0,0,0,0,0,0,0 +Stair up,15,0,0,0,885,0,0,2,0,0,0 +Stair down,44,0,0,10,0,733,0,0,0,0,0 +Ramp up,62,0,0,6,7,0,1223,3,0,0,0 +Ramp down,112,0,12,0,0,0,181,1197,0,0,0 +Grass walking,51,0,0,0,0,0,0,0,1349,2,0 +Uneven ground walking,10,0,21,0,0,0,0,0,0,1596,0 +Carry,253,0,0,2,0,0,0,0,0,0,4527 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ced75065eb176bf2df2f0548f80360d77cb19e75 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,453,15,71,1,61,57,33,42,46,61,87 +Sit to stand,174,165,50,88,0,0,0,0,0,0,0 +Stand to sit,134,121,139,75,0,0,0,0,0,0,0 +Sitting,5,117,18,194,0,0,0,0,0,0,0 +Stair up,8,0,0,0,72,0,0,6,0,0,0 +Stair down,21,1,0,1,0,53,0,0,0,0,0 +Ramp up,32,0,0,0,0,1,42,0,0,0,0 +Ramp down,40,0,2,0,1,0,3,41,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,54,1,0 +Uneven ground walking,15,0,0,0,0,0,0,0,0,68,0 +Carry,54,0,0,0,0,0,0,0,0,0,120 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..de6cd48e645458feadb3daa0aa6ffd7612cfeba3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8693315734892052,0.8486103441928953,0.8588459926419224,10866.0,10607,10866 +Sit to stand,0.521285140562249,0.5058456742010912,0.5134493670886076,1283.0,1245,1283 +Stand to sit,0.6716917922948074,0.5127877237851662,0.5815808556925308,1564.0,1194,1564 +Sitting,0.8460251046025105,0.8726801899007337,0.8591459528362014,2317.0,2390,2317 +Stair up,0.7680577849117175,0.9686234817813765,0.8567591763652641,988.0,1246,988 +Stair down,0.7987804878048781,0.9107763615295481,0.8511099079588522,863.0,984,863 +Ramp up,0.8203631647211413,0.9193313953488372,0.8670322138450994,1376.0,1542,1376 +Ramp down,0.9287321830457614,0.7791063561988673,0.8473648186173853,1589.0,1333,1589 +Grass walking,0.9218134034165572,0.947972972972973,0.9347101932045303,1480.0,1522,1480 +Uneven ground walking,0.8912694161756829,0.9730994152046784,0.9303885937936819,1710.0,1867,1710 +Carry,0.918016594231529,0.9376513317191283,0.9277300858454781,4956.0,5062,4956 +accuracy,0.8503725165562914,0.8503725165562914,0.8503725165562914,0.8503725165562914,0,0 +macro avg,0.8141242404778218,0.8342259315304813,0.8207379234445049,28992.0,0,0 +weighted avg,0.8490804507830068,0.8503725165562914,0.8479532475054411,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2fcb9aafe3387d790f05394a51c9255132abae9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9087893864013267,0.882181305966395,0.8952876908153367,9939.0,9648,9939 +Sit to stand,0.585956416464891,0.6004962779156328,0.5931372549019608,806.0,826,806 +Stand to sit,0.725382932166302,0.6054794520547945,0.6600298656047785,1095.0,914,1095 +Sitting,0.9000492368291482,0.9218356026222895,0.9108121574489287,1983.0,2031,1983 +Stair up,0.795863309352518,0.9811529933481153,0.8788480635551142,902.0,1112,902 +Stair down,0.8396334478808706,0.9313850063532402,0.8831325301204819,787.0,873,787 +Ramp up,0.8353825136612022,0.9400461183704842,0.884629294755877,1301.0,1464,1301 +Ramp down,0.9622186495176849,0.7969374167776299,0.8718135469774217,1502.0,1244,1502 +Grass walking,0.9486638537271449,0.9621968616262482,0.9553824362606232,1402.0,1422,1402 +Uneven ground walking,0.918825561312608,0.9809465273509527,0.9488703923900119,1627.0,1737,1627 +Carry,0.9324407826982493,0.9466750313676286,0.9395039950191968,4782.0,4855,4782 +accuracy,0.8900329174002909,0.8900329174002909,0.8900329174002909,0.8900329174002909,0,0 +macro avg,0.8502914627283586,0.8681211448866738,0.8564952025317937,26126.0,0,0 +weighted avg,0.8910075616198,0.8900329174002909,0.8891252208654148,26126.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..03c29b85fa9812751467a0f0dc34a56c8b633760 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.47236704900938475,0.4886731391585761,0.48038176033934255,927.0,959,927 +Sit to stand,0.3937947494033413,0.34591194968553457,0.36830357142857145,477.0,419,477 +Stand to sit,0.49642857142857144,0.29637526652452023,0.3711615487316422,469.0,280,469 +Sitting,0.5403899721448467,0.5808383233532934,0.5598845598845599,334.0,359,334 +Stair up,0.5373134328358209,0.8372093023255814,0.6545454545454545,86.0,134,86 +Stair down,0.4774774774774775,0.6973684210526315,0.5668449197860963,76.0,111,76 +Ramp up,0.5384615384615384,0.56,0.5490196078431373,75.0,78,75 +Ramp down,0.4606741573033708,0.47126436781609193,0.4659090909090909,87.0,89,87 +Grass walking,0.54,0.6923076923076923,0.6067415730337079,78.0,100,78 +Uneven ground walking,0.5230769230769231,0.8192771084337349,0.6384976525821596,83.0,130,83 +Carry,0.5797101449275363,0.6896551724137931,0.6299212598425197,174.0,207,174 +accuracy,0.48883461270062806,0.48883461270062806,0.48883461270062806,0.48883461270062806,0,0 +macro avg,0.5054267287335283,0.5889891584610409,0.5355646362660257,2866.0,0,0 +weighted avg,0.48444000733022524,0.48883461270062806,0.4790928249574696,2866.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..de6cd48e645458feadb3daa0aa6ffd7612cfeba3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8693315734892052,0.8486103441928953,0.8588459926419224,10866.0,10607,10866 +Sit to stand,0.521285140562249,0.5058456742010912,0.5134493670886076,1283.0,1245,1283 +Stand to sit,0.6716917922948074,0.5127877237851662,0.5815808556925308,1564.0,1194,1564 +Sitting,0.8460251046025105,0.8726801899007337,0.8591459528362014,2317.0,2390,2317 +Stair up,0.7680577849117175,0.9686234817813765,0.8567591763652641,988.0,1246,988 +Stair down,0.7987804878048781,0.9107763615295481,0.8511099079588522,863.0,984,863 +Ramp up,0.8203631647211413,0.9193313953488372,0.8670322138450994,1376.0,1542,1376 +Ramp down,0.9287321830457614,0.7791063561988673,0.8473648186173853,1589.0,1333,1589 +Grass walking,0.9218134034165572,0.947972972972973,0.9347101932045303,1480.0,1522,1480 +Uneven ground walking,0.8912694161756829,0.9730994152046784,0.9303885937936819,1710.0,1867,1710 +Carry,0.918016594231529,0.9376513317191283,0.9277300858454781,4956.0,5062,4956 +accuracy,0.8503725165562914,0.8503725165562914,0.8503725165562914,0.8503725165562914,0,0 +macro avg,0.8141242404778218,0.8342259315304813,0.8207379234445049,28992.0,0,0 +weighted avg,0.8490804507830068,0.8503725165562914,0.8479532475054411,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2fcb9aafe3387d790f05394a51c9255132abae9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9087893864013267,0.882181305966395,0.8952876908153367,9939.0,9648,9939 +Sit to stand,0.585956416464891,0.6004962779156328,0.5931372549019608,806.0,826,806 +Stand to sit,0.725382932166302,0.6054794520547945,0.6600298656047785,1095.0,914,1095 +Sitting,0.9000492368291482,0.9218356026222895,0.9108121574489287,1983.0,2031,1983 +Stair up,0.795863309352518,0.9811529933481153,0.8788480635551142,902.0,1112,902 +Stair down,0.8396334478808706,0.9313850063532402,0.8831325301204819,787.0,873,787 +Ramp up,0.8353825136612022,0.9400461183704842,0.884629294755877,1301.0,1464,1301 +Ramp down,0.9622186495176849,0.7969374167776299,0.8718135469774217,1502.0,1244,1502 +Grass walking,0.9486638537271449,0.9621968616262482,0.9553824362606232,1402.0,1422,1402 +Uneven ground walking,0.918825561312608,0.9809465273509527,0.9488703923900119,1627.0,1737,1627 +Carry,0.9324407826982493,0.9466750313676286,0.9395039950191968,4782.0,4855,4782 +accuracy,0.8900329174002909,0.8900329174002909,0.8900329174002909,0.8900329174002909,0,0 +macro avg,0.8502914627283586,0.8681211448866738,0.8564952025317937,26126.0,0,0 +weighted avg,0.8910075616198,0.8900329174002909,0.8891252208654148,26126.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..03c29b85fa9812751467a0f0dc34a56c8b633760 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.1s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.47236704900938475,0.4886731391585761,0.48038176033934255,927.0,959,927 +Sit to stand,0.3937947494033413,0.34591194968553457,0.36830357142857145,477.0,419,477 +Stand to sit,0.49642857142857144,0.29637526652452023,0.3711615487316422,469.0,280,469 +Sitting,0.5403899721448467,0.5808383233532934,0.5598845598845599,334.0,359,334 +Stair up,0.5373134328358209,0.8372093023255814,0.6545454545454545,86.0,134,86 +Stair down,0.4774774774774775,0.6973684210526315,0.5668449197860963,76.0,111,76 +Ramp up,0.5384615384615384,0.56,0.5490196078431373,75.0,78,75 +Ramp down,0.4606741573033708,0.47126436781609193,0.4659090909090909,87.0,89,87 +Grass walking,0.54,0.6923076923076923,0.6067415730337079,78.0,100,78 +Uneven ground walking,0.5230769230769231,0.8192771084337349,0.6384976525821596,83.0,130,83 +Carry,0.5797101449275363,0.6896551724137931,0.6299212598425197,174.0,207,174 +accuracy,0.48883461270062806,0.48883461270062806,0.48883461270062806,0.48883461270062806,0,0 +macro avg,0.5054267287335283,0.5889891584610409,0.5355646362660257,2866.0,0,0 +weighted avg,0.48444000733022524,0.48883461270062806,0.4790928249574696,2866.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..218d506d8a4e1efb45bfe108ed1d5d568a5ed62c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9269,28,148,68,272,175,113,98,121,180,416 +Sit to stand,269,651,145,190,0,0,0,0,0,0,0 +Stand to sit,412,253,780,126,0,0,0,0,0,0,0 +Sitting,30,265,21,2013,0,0,0,0,0,0,0 +Stair up,20,0,0,0,962,0,0,8,0,0,0 +Stair down,82,1,0,11,0,771,0,0,0,0,0 +Ramp up,89,0,0,6,7,4,1262,3,0,0,0 +Ramp down,150,0,11,2,5,0,183,1231,0,0,0 +Grass walking,88,0,0,0,0,0,0,0,1392,4,0 +Uneven ground walking,29,0,17,0,0,0,0,0,0,1661,0 +Carry,311,0,0,2,0,0,0,0,0,0,4637 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..c6b2081a78e4775563af278d7d583a94289a06c9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8798,17,77,67,209,128,76,57,78,126,327 +Sit to stand,104,485,99,98,0,0,0,0,0,0,0 +Stand to sit,252,142,653,58,0,0,0,0,0,0,0 +Sitting,20,136,14,1818,0,0,0,0,0,0,0 +Stair up,13,0,0,0,891,0,0,3,0,0,0 +Stair down,58,0,0,10,0,721,0,0,0,0,0 +Ramp up,59,0,0,6,7,2,1217,3,0,0,0 +Ramp down,113,0,10,1,1,0,181,1192,0,0,0 +Grass walking,62,0,0,0,0,0,0,0,1340,2,0 +Uneven ground walking,13,0,17,0,0,0,0,0,0,1595,0 +Carry,252,0,0,2,0,0,0,0,0,0,4527 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4cb2a22200123f03d076674c873aa02e8cb64f08 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,471,11,71,1,63,47,37,41,43,54,89 +Sit to stand,165,166,46,92,0,0,0,0,0,0,0 +Stand to sit,160,111,127,68,0,0,0,0,0,0,0 +Sitting,10,129,7,195,0,0,0,0,0,0,0 +Stair up,7,0,0,0,71,0,0,5,0,0,0 +Stair down,24,1,0,1,0,50,0,0,0,0,0 +Ramp up,30,0,0,0,0,2,45,0,0,0,0 +Ramp down,37,0,1,1,4,0,2,39,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,52,2,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,66,0 +Carry,59,0,0,0,0,0,0,0,0,0,110 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..458853089bbfdca2f840fac806ea5ca6c67fd6a5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8623127732812355,0.8513041880969875,0.8567731201183159,10888.0,10749,10888 +Sit to stand,0.5434056761268782,0.5187250996015936,0.5307786384019568,1255.0,1198,1255 +Stand to sit,0.6951871657754011,0.49649904519414384,0.5792796138135908,1571.0,1122,1571 +Sitting,0.8325062034739454,0.8643194504079004,0.8481145986939119,2329.0,2418,2329 +Stair up,0.7720706260032103,0.9717171717171718,0.8604651162790697,990.0,1246,990 +Stair down,0.8115789473684211,0.8913294797687862,0.8495867768595041,865.0,950,865 +Ramp up,0.810012836970475,0.9204959883296864,0.8617275520655514,1371.0,1558,1371 +Ramp down,0.9186567164179105,0.7781289506953224,0.8425735797399042,1582.0,1340,1582 +Grass walking,0.9200264375413086,0.9380053908355795,0.928928928928929,1484.0,1513,1484 +Uneven ground walking,0.9002710027100271,0.9730521382542472,0.9352477477477478,1707.0,1845,1707 +Carry,0.9176726697011677,0.9367676767676768,0.9271218634409677,4950.0,5053,4950 +accuracy,0.8495102097130243,0.8495102097130243,0.8495102097130243,0.8495102097130243,0,0 +macro avg,0.8167000959427255,0.830940416333554,0.8200543214626773,28992.0,0,0 +weighted avg,0.8477045863818953,0.8495102097130243,0.8466254366998077,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d818d565d8cefd4297d429b509f7a4317f1efab9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9029146141215106,0.8833333333333333,0.89301664636622,9960.0,9744,9960 +Sit to stand,0.6217948717948718,0.6170483460559797,0.6194125159642401,786.0,780,786 +Stand to sit,0.7505747126436781,0.5909502262443439,0.6612658227848102,1105.0,870,1105 +Sitting,0.8825242718446602,0.9144869215291751,0.8982213438735178,1988.0,2060,1988 +Stair up,0.8041516245487365,0.9823594266813671,0.8843672456575682,907.0,1108,907 +Stair down,0.8472385428907168,0.9138149556400507,0.8792682926829268,789.0,851,789 +Ramp up,0.8256445047489823,0.9404945904173106,0.8793352601156069,1294.0,1474,1294 +Ramp down,0.949800796812749,0.7957276368491322,0.8659644024700327,1498.0,1255,1498 +Grass walking,0.9449929478138223,0.9544159544159544,0.9496810772501771,1404.0,1418,1404 +Uneven ground walking,0.9257109692396982,0.9815384615384616,0.9528076463560334,1625.0,1723,1625 +Carry,0.9326328800988876,0.9468730391131562,0.9396990140114168,4781.0,4854,4781 +accuracy,0.8890461797451888,0.8890461797451888,0.8890461797451888,0.8890461797451888,0,0 +macro avg,0.8534527942325739,0.8655493538016604,0.85663993341205,26137.0,0,0 +weighted avg,0.8893367324426874,0.8890461797451888,0.8877442216458485,26137.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6296fa40280c96ace9f5816c2bcf5da3fee8e50a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.46865671641791046,0.5075431034482759,0.48732540093119503,928.0,1005,928 +Sit to stand,0.39712918660287083,0.35394456289978676,0.3742953776775648,469.0,418,469 +Stand to sit,0.503968253968254,0.27253218884120173,0.35376044568245124,466.0,252,466 +Sitting,0.5446927374301676,0.5718475073313783,0.5579399141630901,341.0,358,341 +Stair up,0.5144927536231884,0.8554216867469879,0.6425339366515838,83.0,138,83 +Stair down,0.5050505050505051,0.6578947368421053,0.5714285714285714,76.0,99,76 +Ramp up,0.5357142857142857,0.5844155844155844,0.5590062111801242,77.0,84,77 +Ramp down,0.4588235294117647,0.4642857142857143,0.46153846153846156,84.0,85,84 +Grass walking,0.5473684210526316,0.65,0.5942857142857143,80.0,95,80 +Uneven ground walking,0.5409836065573771,0.8048780487804879,0.6470588235294118,82.0,122,82 +Carry,0.5527638190954773,0.650887573964497,0.5978260869565217,169.0,199,169 +accuracy,0.48756567425569175,0.48756567425569175,0.48756567425569175,0.48756567425569175,0,0 +macro avg,0.5063312559022212,0.5794227915960017,0.531545358547699,2855.0,0,0 +weighted avg,0.4848341784307052,0.48756567425569175,0.47744247607048595,2855.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..458853089bbfdca2f840fac806ea5ca6c67fd6a5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8623127732812355,0.8513041880969875,0.8567731201183159,10888.0,10749,10888 +Sit to stand,0.5434056761268782,0.5187250996015936,0.5307786384019568,1255.0,1198,1255 +Stand to sit,0.6951871657754011,0.49649904519414384,0.5792796138135908,1571.0,1122,1571 +Sitting,0.8325062034739454,0.8643194504079004,0.8481145986939119,2329.0,2418,2329 +Stair up,0.7720706260032103,0.9717171717171718,0.8604651162790697,990.0,1246,990 +Stair down,0.8115789473684211,0.8913294797687862,0.8495867768595041,865.0,950,865 +Ramp up,0.810012836970475,0.9204959883296864,0.8617275520655514,1371.0,1558,1371 +Ramp down,0.9186567164179105,0.7781289506953224,0.8425735797399042,1582.0,1340,1582 +Grass walking,0.9200264375413086,0.9380053908355795,0.928928928928929,1484.0,1513,1484 +Uneven ground walking,0.9002710027100271,0.9730521382542472,0.9352477477477478,1707.0,1845,1707 +Carry,0.9176726697011677,0.9367676767676768,0.9271218634409677,4950.0,5053,4950 +accuracy,0.8495102097130243,0.8495102097130243,0.8495102097130243,0.8495102097130243,0,0 +macro avg,0.8167000959427255,0.830940416333554,0.8200543214626773,28992.0,0,0 +weighted avg,0.8477045863818953,0.8495102097130243,0.8466254366998077,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..d818d565d8cefd4297d429b509f7a4317f1efab9 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9029146141215106,0.8833333333333333,0.89301664636622,9960.0,9744,9960 +Sit to stand,0.6217948717948718,0.6170483460559797,0.6194125159642401,786.0,780,786 +Stand to sit,0.7505747126436781,0.5909502262443439,0.6612658227848102,1105.0,870,1105 +Sitting,0.8825242718446602,0.9144869215291751,0.8982213438735178,1988.0,2060,1988 +Stair up,0.8041516245487365,0.9823594266813671,0.8843672456575682,907.0,1108,907 +Stair down,0.8472385428907168,0.9138149556400507,0.8792682926829268,789.0,851,789 +Ramp up,0.8256445047489823,0.9404945904173106,0.8793352601156069,1294.0,1474,1294 +Ramp down,0.949800796812749,0.7957276368491322,0.8659644024700327,1498.0,1255,1498 +Grass walking,0.9449929478138223,0.9544159544159544,0.9496810772501771,1404.0,1418,1404 +Uneven ground walking,0.9257109692396982,0.9815384615384616,0.9528076463560334,1625.0,1723,1625 +Carry,0.9326328800988876,0.9468730391131562,0.9396990140114168,4781.0,4854,4781 +accuracy,0.8890461797451888,0.8890461797451888,0.8890461797451888,0.8890461797451888,0,0 +macro avg,0.8534527942325739,0.8655493538016604,0.85663993341205,26137.0,0,0 +weighted avg,0.8893367324426874,0.8890461797451888,0.8877442216458485,26137.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..6296fa40280c96ace9f5816c2bcf5da3fee8e50a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.2s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.46865671641791046,0.5075431034482759,0.48732540093119503,928.0,1005,928 +Sit to stand,0.39712918660287083,0.35394456289978676,0.3742953776775648,469.0,418,469 +Stand to sit,0.503968253968254,0.27253218884120173,0.35376044568245124,466.0,252,466 +Sitting,0.5446927374301676,0.5718475073313783,0.5579399141630901,341.0,358,341 +Stair up,0.5144927536231884,0.8554216867469879,0.6425339366515838,83.0,138,83 +Stair down,0.5050505050505051,0.6578947368421053,0.5714285714285714,76.0,99,76 +Ramp up,0.5357142857142857,0.5844155844155844,0.5590062111801242,77.0,84,77 +Ramp down,0.4588235294117647,0.4642857142857143,0.46153846153846156,84.0,85,84 +Grass walking,0.5473684210526316,0.65,0.5942857142857143,80.0,95,80 +Uneven ground walking,0.5409836065573771,0.8048780487804879,0.6470588235294118,82.0,122,82 +Carry,0.5527638190954773,0.650887573964497,0.5978260869565217,169.0,199,169 +accuracy,0.48756567425569175,0.48756567425569175,0.48756567425569175,0.48756567425569175,0,0 +macro avg,0.5063312559022212,0.5794227915960017,0.531545358547699,2855.0,0,0 +weighted avg,0.4848341784307052,0.48756567425569175,0.47744247607048595,2855.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..32790ebbf080b15f80aff98974fca385439545bb --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9315,17,137,78,255,147,105,98,138,165,418 +Sit to stand,258,649,117,259,0,0,0,0,0,0,0 +Stand to sit,474,203,751,139,0,0,0,0,0,1,0 +Sitting,30,290,18,1965,0,0,0,0,0,0,0 +Stair up,20,0,0,0,968,0,0,5,0,0,0 +Stair down,83,1,0,10,0,769,0,0,0,0,0 +Ramp up,84,0,0,6,7,4,1270,3,0,0,0 +Ramp down,146,0,9,2,3,0,182,1243,0,0,0 +Grass walking,87,0,0,0,0,0,0,0,1395,5,0 +Uneven ground walking,31,0,17,0,0,0,0,0,0,1664,0 +Carry,316,0,0,2,0,0,0,0,0,0,4633 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5307721d5e112995f608f6d6898417dd6c8eedc3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8840,10,74,75,189,102,72,58,91,111,326 +Sit to stand,102,488,74,146,0,0,0,0,0,0,0 +Stand to sit,295,108,620,67,0,0,0,0,0,1,0 +Sitting,22,156,5,1801,0,0,0,0,0,0,0 +Stair up,13,0,0,0,896,0,0,1,0,0,0 +Stair down,58,1,0,9,0,721,0,0,0,0,0 +Ramp up,56,0,0,6,7,2,1222,3,0,0,0 +Ramp down,108,0,8,1,0,0,181,1201,0,0,0 +Grass walking,63,0,0,0,0,0,0,0,1340,1,0 +Uneven ground walking,16,0,17,0,0,0,0,0,0,1597,0 +Carry,254,0,0,1,0,0,0,0,0,0,4529 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d65ed360a8af8aacad13188f097499672e2cf5f4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,475,7,63,3,66,45,33,40,47,54,92 +Sit to stand,156,161,43,113,0,0,0,0,0,0,0 +Stand to sit,179,95,131,72,0,0,0,0,0,0,0 +Sitting,8,134,13,164,0,0,0,0,0,0,0 +Stair up,7,0,0,0,72,0,0,4,0,0,0 +Stair down,25,0,0,1,0,48,0,0,0,0,0 +Ramp up,28,0,0,0,0,2,48,0,0,0,0 +Ramp down,38,0,1,1,3,0,1,42,0,0,0 +Grass walking,24,0,0,0,0,0,0,0,55,4,0 +Uneven ground walking,15,0,0,0,0,0,0,0,0,67,0 +Carry,62,0,0,1,0,0,0,0,0,0,104 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3f21045b3a7bc3ba4f3dbff83487245b3f4ce4a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8590003688675766,0.8567092798675618,0.8578532946539578,10873.0,10844,10873 +Sit to stand,0.5594827586206896,0.5058456742010912,0.5313139582480557,1283.0,1160,1283 +Stand to sit,0.7159199237368923,0.4789540816326531,0.5739396255254108,1568.0,1049,1568 +Sitting,0.7984559122308005,0.8532349109856708,0.8249370277078085,2303.0,2461,2303 +Stair up,0.7850770478507705,0.9748237663645518,0.8697214734950584,993.0,1233,993 +Stair down,0.8358695652173913,0.8910776361529548,0.8625911385305665,863.0,920,863 +Ramp up,0.8156711624919717,0.9243085880640466,0.8665984305697714,1374.0,1557,1374 +Ramp down,0.9214232765011119,0.7842271293375395,0.847307430129516,1585.0,1349,1585 +Grass walking,0.9099804305283757,0.9381304640215198,0.9238410596026491,1487.0,1533,1487 +Uneven ground walking,0.9068119891008174,0.9719626168224299,0.9382576825486326,1712.0,1835,1712 +Carry,0.9172441100772124,0.9357705514037569,0.9264147170565887,4951.0,5051,4951 +accuracy,0.8492687637969095,0.8492687637969095,0.8492687637969095,0.8492687637969095,0,0 +macro avg,0.82044877683851,0.828640427168525,0.8202523489152742,28992.0,0,0 +weighted avg,0.8467210756291292,0.8492687637969095,0.8456590837896611,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c9b8df96d22500fa685dcaacd6d0ef90f10430f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8995624300396866,0.8886208283071975,0.8940581542351453,9948.0,9827,9948 +Sit to stand,0.6395806028833552,0.6024691358024692,0.6204704386522568,810.0,763,810 +Stand to sit,0.7769423558897243,0.5682859761686526,0.65643197458973,1091.0,798,1091 +Sitting,0.8551756885090218,0.9077620967741935,0.8806845965770171,1984.0,2106,1984 +Stair up,0.8205128205128205,0.9846153846153847,0.8951048951048951,910.0,1092,910 +Stair down,0.8739393939393939,0.9138149556400507,0.8934324659231723,789.0,825,789 +Ramp up,0.8284745762711865,0.9429012345679012,0.8819920606279321,1296.0,1475,1296 +Ramp down,0.950910530482977,0.8012008005336891,0.8696596669080376,1499.0,1263,1499 +Grass walking,0.9364081062194269,0.9544159544159544,0.9453262786596119,1404.0,1431,1404 +Uneven ground walking,0.9339181286549708,0.9797546012269939,0.9562874251497006,1630.0,1710,1630 +Carry,0.9328527291452111,0.9466973244147158,0.9397240377632534,4784.0,4855,4784 +accuracy,0.8894626123541787,0.8894626123541787,0.8894626123541787,0.8894626123541787,0,0 +macro avg,0.8589343056861612,0.8627762084061092,0.8575610903809775,26145.0,0,0 +weighted avg,0.8891303801967705,0.8894626123541787,0.887660688997707,26145.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1810b94b137e0cad3d1121c3455c1ab6644d382e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4670599803343166,0.5135135135135135,0.48918640576725025,925.0,1017,925 +Sit to stand,0.40554156171284633,0.3403805496828753,0.3701149425287356,473.0,397,473 +Stand to sit,0.5219123505976095,0.2746331236897275,0.3598901098901099,477.0,251,477 +Sitting,0.4619718309859155,0.5141065830721003,0.486646884272997,319.0,355,319 +Stair up,0.5106382978723404,0.8674698795180723,0.6428571428571429,83.0,141,83 +Stair down,0.5052631578947369,0.6486486486486487,0.5680473372781065,74.0,95,74 +Ramp up,0.5853658536585366,0.6153846153846154,0.6,78.0,82,78 +Ramp down,0.4883720930232558,0.4883720930232558,0.4883720930232558,86.0,86,86 +Grass walking,0.5392156862745098,0.6626506024096386,0.5945945945945946,83.0,102,83 +Uneven ground walking,0.536,0.8170731707317073,0.6473429951690821,82.0,125,82 +Carry,0.5306122448979592,0.6227544910179641,0.5730027548209367,167.0,196,167 +accuracy,0.48015454864769935,0.48015454864769935,0.48015454864769935,0.48015454864769935,0,0 +macro avg,0.5047230052047297,0.5786352064265562,0.5290959327456556,2847.0,0,0 +weighted avg,0.47942500234306645,0.48015454864769935,0.4695424357139102,2847.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..f3f21045b3a7bc3ba4f3dbff83487245b3f4ce4a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8590003688675766,0.8567092798675618,0.8578532946539578,10873.0,10844,10873 +Sit to stand,0.5594827586206896,0.5058456742010912,0.5313139582480557,1283.0,1160,1283 +Stand to sit,0.7159199237368923,0.4789540816326531,0.5739396255254108,1568.0,1049,1568 +Sitting,0.7984559122308005,0.8532349109856708,0.8249370277078085,2303.0,2461,2303 +Stair up,0.7850770478507705,0.9748237663645518,0.8697214734950584,993.0,1233,993 +Stair down,0.8358695652173913,0.8910776361529548,0.8625911385305665,863.0,920,863 +Ramp up,0.8156711624919717,0.9243085880640466,0.8665984305697714,1374.0,1557,1374 +Ramp down,0.9214232765011119,0.7842271293375395,0.847307430129516,1585.0,1349,1585 +Grass walking,0.9099804305283757,0.9381304640215198,0.9238410596026491,1487.0,1533,1487 +Uneven ground walking,0.9068119891008174,0.9719626168224299,0.9382576825486326,1712.0,1835,1712 +Carry,0.9172441100772124,0.9357705514037569,0.9264147170565887,4951.0,5051,4951 +accuracy,0.8492687637969095,0.8492687637969095,0.8492687637969095,0.8492687637969095,0,0 +macro avg,0.82044877683851,0.828640427168525,0.8202523489152742,28992.0,0,0 +weighted avg,0.8467210756291292,0.8492687637969095,0.8456590837896611,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c9b8df96d22500fa685dcaacd6d0ef90f10430f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8995624300396866,0.8886208283071975,0.8940581542351453,9948.0,9827,9948 +Sit to stand,0.6395806028833552,0.6024691358024692,0.6204704386522568,810.0,763,810 +Stand to sit,0.7769423558897243,0.5682859761686526,0.65643197458973,1091.0,798,1091 +Sitting,0.8551756885090218,0.9077620967741935,0.8806845965770171,1984.0,2106,1984 +Stair up,0.8205128205128205,0.9846153846153847,0.8951048951048951,910.0,1092,910 +Stair down,0.8739393939393939,0.9138149556400507,0.8934324659231723,789.0,825,789 +Ramp up,0.8284745762711865,0.9429012345679012,0.8819920606279321,1296.0,1475,1296 +Ramp down,0.950910530482977,0.8012008005336891,0.8696596669080376,1499.0,1263,1499 +Grass walking,0.9364081062194269,0.9544159544159544,0.9453262786596119,1404.0,1431,1404 +Uneven ground walking,0.9339181286549708,0.9797546012269939,0.9562874251497006,1630.0,1710,1630 +Carry,0.9328527291452111,0.9466973244147158,0.9397240377632534,4784.0,4855,4784 +accuracy,0.8894626123541787,0.8894626123541787,0.8894626123541787,0.8894626123541787,0,0 +macro avg,0.8589343056861612,0.8627762084061092,0.8575610903809775,26145.0,0,0 +weighted avg,0.8891303801967705,0.8894626123541787,0.887660688997707,26145.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..1810b94b137e0cad3d1121c3455c1ab6644d382e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.3s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4670599803343166,0.5135135135135135,0.48918640576725025,925.0,1017,925 +Sit to stand,0.40554156171284633,0.3403805496828753,0.3701149425287356,473.0,397,473 +Stand to sit,0.5219123505976095,0.2746331236897275,0.3598901098901099,477.0,251,477 +Sitting,0.4619718309859155,0.5141065830721003,0.486646884272997,319.0,355,319 +Stair up,0.5106382978723404,0.8674698795180723,0.6428571428571429,83.0,141,83 +Stair down,0.5052631578947369,0.6486486486486487,0.5680473372781065,74.0,95,74 +Ramp up,0.5853658536585366,0.6153846153846154,0.6,78.0,82,78 +Ramp down,0.4883720930232558,0.4883720930232558,0.4883720930232558,86.0,86,86 +Grass walking,0.5392156862745098,0.6626506024096386,0.5945945945945946,83.0,102,83 +Uneven ground walking,0.536,0.8170731707317073,0.6473429951690821,82.0,125,82 +Carry,0.5306122448979592,0.6227544910179641,0.5730027548209367,167.0,196,167 +accuracy,0.48015454864769935,0.48015454864769935,0.48015454864769935,0.48015454864769935,0,0 +macro avg,0.5047230052047297,0.5786352064265562,0.5290959327456556,2847.0,0,0 +weighted avg,0.47942500234306645,0.48015454864769935,0.4695424357139102,2847.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..b75fd92b3a5da7834ee446b9c42d08f63d2b4392 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9261,7,141,126,239,130,111,118,156,182,416 +Sit to stand,319,559,51,338,0,0,0,0,0,0,0 +Stand to sit,631,85,581,268,0,0,0,0,0,1,0 +Sitting,87,286,14,1930,0,0,0,0,0,0,0 +Stair up,26,0,0,0,963,0,0,9,0,0,0 +Stair down,113,1,0,10,0,747,0,0,0,0,0 +Ramp up,74,0,0,7,7,3,1274,3,0,0,0 +Ramp down,149,0,4,3,2,0,184,1236,0,0,0 +Grass walking,88,0,0,0,0,0,0,0,1395,2,0 +Uneven ground walking,44,0,5,12,0,0,0,0,0,1642,0 +Carry,350,0,0,2,0,0,0,0,0,0,4600 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f02f59fc3a4120f8b8b71829a0598c8f5be30cfa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8770,3,90,101,182,91,74,76,111,127,330 +Sit to stand,161,398,30,200,0,0,0,0,0,0,0 +Stand to sit,405,34,480,167,0,0,0,0,0,1,0 +Sitting,32,191,2,1762,0,0,0,0,0,0,0 +Stair up,13,0,0,0,892,0,0,4,0,0,0 +Stair down,81,1,0,9,0,704,0,0,0,0,0 +Ramp up,49,0,0,7,7,2,1226,3,0,0,0 +Ramp down,108,0,4,2,1,0,183,1196,0,0,0 +Grass walking,62,0,0,0,0,0,0,0,1341,1,0 +Uneven ground walking,20,0,5,11,0,0,0,0,0,1582,0 +Carry,284,0,0,1,0,0,0,0,0,0,4498 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..aa5809507e6ce952e2c7b0868f2c2cdc8cacd537 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,491,4,51,25,57,39,37,42,45,55,86 +Sit to stand,158,161,21,138,0,0,0,0,0,0,0 +Stand to sit,226,51,101,101,0,0,0,0,0,0,0 +Sitting,55,95,12,168,0,0,0,0,0,0,0 +Stair up,13,0,0,0,71,0,0,5,0,0,0 +Stair down,32,0,0,1,0,43,0,0,0,0,0 +Ramp up,25,0,0,0,0,1,48,0,0,0,0 +Ramp down,41,0,0,1,1,0,1,40,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,54,1,0 +Uneven ground walking,24,0,0,1,0,0,0,0,0,60,0 +Carry,66,0,0,1,0,0,0,0,0,0,102 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..aeea24688fa9aacf9b947b0238e8b3fcd98353e5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8311793214862682,0.8506475613116561,0.8408007626310772,10887.0,11142,10887 +Sit to stand,0.5959488272921108,0.44119968429360695,0.5070294784580499,1267.0,938,1267 +Stand to sit,0.7298994974874372,0.3710089399744572,0.49195596951735815,1566.0,796,1566 +Sitting,0.7158753709198813,0.832973672852827,0.7699980051865151,2317.0,2696,2317 +Stair up,0.7952105697770437,0.9649298597194389,0.8718877320054323,998.0,1211,998 +Stair down,0.8488636363636364,0.8576349024110218,0.8532267275842376,871.0,880,871 +Ramp up,0.8119821542383684,0.9312865497076024,0.867551923731699,1368.0,1569,1368 +Ramp down,0.9048316251830161,0.7832699619771863,0.8396739130434783,1578.0,1366,1578 +Grass walking,0.8994197292069632,0.9393939393939394,0.9189723320158103,1485.0,1551,1485 +Uneven ground walking,0.8987411056376574,0.9641808573106283,0.9303116147308782,1703.0,1827,1703 +Carry,0.9170653907496013,0.9289176090468497,0.9229534510433387,4952.0,5016,4952 +accuracy,0.8342991169977925,0.8342991169977925,0.8342991169977925,0.8342991169977925,0,0 +macro avg,0.8135470207583623,0.8059494125453831,0.8013056281770795,28992.0,0,0 +weighted avg,0.830743679908223,0.8342991169977925,0.8276515474428763,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..12578c5e8ab75d85bd7643eb404c827b048f52df --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8783174762143214,0.8809643395278755,0.8796389167502507,9955.0,9985,9955 +Sit to stand,0.6347687400318979,0.5044359949302915,0.5621468926553672,789.0,627,789 +Stand to sit,0.7855973813420621,0.44158233670653174,0.5653710247349824,1087.0,611,1087 +Sitting,0.779646017699115,0.8867639657775541,0.8297621850718154,1987.0,2260,1987 +Stair up,0.8243992606284658,0.9812981298129813,0.8960321446509292,909.0,1082,909 +Stair down,0.8833124215809285,0.8855345911949686,0.8844221105527639,795.0,797,795 +Ramp up,0.8267026298044504,0.9474497681607419,0.8829672308246309,1294.0,1483,1294 +Ramp down,0.9351055512118843,0.8005354752342704,0.8626036783267219,1494.0,1279,1494 +Grass walking,0.9235537190082644,0.9551282051282052,0.9390756302521008,1404.0,1452,1404 +Uneven ground walking,0.9246054938632379,0.9777503090234858,0.9504355662361069,1618.0,1711,1618 +Carry,0.9316487158243579,0.9404139661300439,0.9360108209343461,4783.0,4828,4783 +accuracy,0.8749377752249665,0.8749377752249665,0.8749377752249665,0.8749377752249665,0,0 +macro avg,0.8479688552008168,0.8365324619660864,0.8353151091809106,26115.0,0,0 +weighted avg,0.8736264261986426,0.8749377752249665,0.8709837280197487,26115.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd2175d806d8df41b421f887b64d96240250c020 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4243733794295592,0.526824034334764,0.4700813786500718,932.0,1157,932 +Sit to stand,0.5176848874598071,0.3368200836820084,0.40811153358681873,478.0,311,478 +Stand to sit,0.5459459459459459,0.21085594989561587,0.3042168674698795,479.0,185,479 +Sitting,0.3853211009174312,0.509090909090909,0.4386422976501306,330.0,436,330 +Stair up,0.5503875968992248,0.797752808988764,0.6513761467889908,89.0,129,89 +Stair down,0.5180722891566265,0.5657894736842105,0.5408805031446541,76.0,83,76 +Ramp up,0.5581395348837209,0.6486486486486487,0.6,74.0,86,74 +Ramp down,0.45977011494252873,0.47619047619047616,0.4678362573099415,84.0,87,84 +Grass walking,0.5454545454545454,0.6666666666666666,0.6,81.0,99,81 +Uneven ground walking,0.5172413793103449,0.7058823529411765,0.5970149253731343,85.0,116,85 +Carry,0.5425531914893617,0.6035502958579881,0.5714285714285714,169.0,188,169 +accuracy,0.4654153632255822,0.4654153632255822,0.4654153632255822,0.4654153632255822,0,0 +macro avg,0.5059039968990088,0.5498246999982935,0.5135989528547448,2877.0,0,0 +weighted avg,0.47958055869530747,0.4654153632255822,0.4526799909087159,2877.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..aeea24688fa9aacf9b947b0238e8b3fcd98353e5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8311793214862682,0.8506475613116561,0.8408007626310772,10887.0,11142,10887 +Sit to stand,0.5959488272921108,0.44119968429360695,0.5070294784580499,1267.0,938,1267 +Stand to sit,0.7298994974874372,0.3710089399744572,0.49195596951735815,1566.0,796,1566 +Sitting,0.7158753709198813,0.832973672852827,0.7699980051865151,2317.0,2696,2317 +Stair up,0.7952105697770437,0.9649298597194389,0.8718877320054323,998.0,1211,998 +Stair down,0.8488636363636364,0.8576349024110218,0.8532267275842376,871.0,880,871 +Ramp up,0.8119821542383684,0.9312865497076024,0.867551923731699,1368.0,1569,1368 +Ramp down,0.9048316251830161,0.7832699619771863,0.8396739130434783,1578.0,1366,1578 +Grass walking,0.8994197292069632,0.9393939393939394,0.9189723320158103,1485.0,1551,1485 +Uneven ground walking,0.8987411056376574,0.9641808573106283,0.9303116147308782,1703.0,1827,1703 +Carry,0.9170653907496013,0.9289176090468497,0.9229534510433387,4952.0,5016,4952 +accuracy,0.8342991169977925,0.8342991169977925,0.8342991169977925,0.8342991169977925,0,0 +macro avg,0.8135470207583623,0.8059494125453831,0.8013056281770795,28992.0,0,0 +weighted avg,0.830743679908223,0.8342991169977925,0.8276515474428763,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..12578c5e8ab75d85bd7643eb404c827b048f52df --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8783174762143214,0.8809643395278755,0.8796389167502507,9955.0,9985,9955 +Sit to stand,0.6347687400318979,0.5044359949302915,0.5621468926553672,789.0,627,789 +Stand to sit,0.7855973813420621,0.44158233670653174,0.5653710247349824,1087.0,611,1087 +Sitting,0.779646017699115,0.8867639657775541,0.8297621850718154,1987.0,2260,1987 +Stair up,0.8243992606284658,0.9812981298129813,0.8960321446509292,909.0,1082,909 +Stair down,0.8833124215809285,0.8855345911949686,0.8844221105527639,795.0,797,795 +Ramp up,0.8267026298044504,0.9474497681607419,0.8829672308246309,1294.0,1483,1294 +Ramp down,0.9351055512118843,0.8005354752342704,0.8626036783267219,1494.0,1279,1494 +Grass walking,0.9235537190082644,0.9551282051282052,0.9390756302521008,1404.0,1452,1404 +Uneven ground walking,0.9246054938632379,0.9777503090234858,0.9504355662361069,1618.0,1711,1618 +Carry,0.9316487158243579,0.9404139661300439,0.9360108209343461,4783.0,4828,4783 +accuracy,0.8749377752249665,0.8749377752249665,0.8749377752249665,0.8749377752249665,0,0 +macro avg,0.8479688552008168,0.8365324619660864,0.8353151091809106,26115.0,0,0 +weighted avg,0.8736264261986426,0.8749377752249665,0.8709837280197487,26115.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd2175d806d8df41b421f887b64d96240250c020 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_0.5s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4243733794295592,0.526824034334764,0.4700813786500718,932.0,1157,932 +Sit to stand,0.5176848874598071,0.3368200836820084,0.40811153358681873,478.0,311,478 +Stand to sit,0.5459459459459459,0.21085594989561587,0.3042168674698795,479.0,185,479 +Sitting,0.3853211009174312,0.509090909090909,0.4386422976501306,330.0,436,330 +Stair up,0.5503875968992248,0.797752808988764,0.6513761467889908,89.0,129,89 +Stair down,0.5180722891566265,0.5657894736842105,0.5408805031446541,76.0,83,76 +Ramp up,0.5581395348837209,0.6486486486486487,0.6,74.0,86,74 +Ramp down,0.45977011494252873,0.47619047619047616,0.4678362573099415,84.0,87,84 +Grass walking,0.5454545454545454,0.6666666666666666,0.6,81.0,99,81 +Uneven ground walking,0.5172413793103449,0.7058823529411765,0.5970149253731343,85.0,116,85 +Carry,0.5425531914893617,0.6035502958579881,0.5714285714285714,169.0,188,169 +accuracy,0.4654153632255822,0.4654153632255822,0.4654153632255822,0.4654153632255822,0,0 +macro avg,0.5059039968990088,0.5498246999982935,0.5135989528547448,2877.0,0,0 +weighted avg,0.47958055869530747,0.4654153632255822,0.4526799909087159,2877.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..d12af6e9f651a930a040dee6635349494433429f --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,9075,30,112,219,186,117,128,199,163,201,465 +Sit to stand,645,155,9,456,0,0,0,0,0,0,0 +Stand to sit,723,73,354,414,0,0,0,2,0,1,0 +Sitting,299,142,13,1854,0,0,0,0,0,0,0 +Stair up,25,0,0,1,943,0,0,29,0,0,0 +Stair down,108,0,0,15,0,748,0,0,0,0,0 +Ramp up,96,0,0,7,5,10,1249,1,0,0,0 +Ramp down,131,0,0,7,0,0,191,1249,0,0,0 +Grass walking,82,0,0,0,0,0,0,0,1390,14,0 +Uneven ground walking,84,0,0,17,0,0,0,0,0,1602,0 +Carry,402,0,0,1,0,0,0,0,0,0,4550 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8064190a42fdba9ad18fa5bd6a11588ca1b955a3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,8591,20,67,173,136,81,97,138,124,147,392 +Sit to stand,389,104,3,293,0,0,0,0,0,0,0 +Stand to sit,450,41,281,315,0,0,0,1,0,1,0 +Sitting,160,109,6,1702,0,0,0,0,0,0,0 +Stair up,15,0,0,1,881,0,0,12,0,0,0 +Stair down,75,0,0,15,0,705,0,0,0,0,0 +Ramp up,63,0,0,6,4,8,1212,1,0,0,0 +Ramp down,91,0,0,7,0,0,190,1207,0,0,0 +Grass walking,62,0,0,0,0,0,0,0,1333,9,0 +Uneven ground walking,46,0,0,15,0,0,0,0,0,1557,0 +Carry,322,0,0,0,0,0,0,0,0,0,4461 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a4f6d9edeb1cbbd0d6b9d0694588ea0c6b10b5d1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,484,10,45,46,50,36,31,61,39,54,73 +Sit to stand,256,51,6,163,0,0,0,0,0,0,0 +Stand to sit,273,32,73,99,0,0,0,1,0,0,0 +Sitting,139,33,7,152,0,0,0,0,0,0,0 +Stair up,10,0,0,0,62,0,0,17,0,0,0 +Stair down,33,0,0,0,0,43,0,0,0,0,0 +Ramp up,33,0,0,1,1,2,37,0,0,0,0 +Ramp down,40,0,0,0,0,0,1,42,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,57,5,0 +Uneven ground walking,38,0,0,2,0,0,0,0,0,45,0 +Carry,80,0,0,1,0,0,0,0,0,0,89 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ea921de5a50e63a3d6e445bae0488768f12db1c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7776349614395887,0.8329508949059201,0.8043430090848659,10895.0,11670,10895 +Sit to stand,0.3875,0.1225296442687747,0.18618618618618618,1265.0,400,1265 +Stand to sit,0.7254098360655737,0.22590938098276964,0.3445255474452555,1567.0,488,1567 +Sitting,0.6198595787362087,0.8032928942807626,0.6997546706925835,2308.0,2991,2308 +Stair up,0.8315696649029982,0.9448897795591182,0.8846153846153846,998.0,1134,998 +Stair down,0.8548571428571429,0.8587830080367393,0.856815578465063,871.0,875,871 +Ramp up,0.7965561224489796,0.9130116959064327,0.8508174386920981,1368.0,1568,1368 +Ramp down,0.8439189189189189,0.7915082382762991,0.816873773708306,1578.0,1480,1578 +Grass walking,0.8950418544752092,0.9353970390309556,0.9147745969068772,1486.0,1553,1486 +Uneven ground walking,0.8811881188118812,0.9406928948913682,0.9099687588753195,1703.0,1818,1703 +Carry,0.9072781655034895,0.9186351706036745,0.9129213483146067,4953.0,5015,4953 +accuracy,0.7991514900662252,0.7991514900662252,0.7991514900662252,0.7991514900662252,0,0 +macro avg,0.7746194876509083,0.7534182400675286,0.7437814811805951,28992.0,0,0 +weighted avg,0.7881552762180547,0.7991514900662252,0.7818210817333262,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d338c6c0f3171046ec33c5ee21c351467053640c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8370031176929073,0.8620309050772627,0.8493326742461691,9966.0,10264,9966 +Sit to stand,0.3795620437956204,0.13181242078580482,0.19567262464722485,789.0,274,789 +Stand to sit,0.7871148459383753,0.2580348943985308,0.38865836791147995,1089.0,357,1089 +Sitting,0.6735259200633161,0.860900354071826,0.7557726465364121,1977.0,2527,1977 +Stair up,0.8628795298726738,0.9691969196919692,0.9129533678756476,909.0,1021,909 +Stair down,0.8879093198992444,0.8867924528301887,0.8873505349276274,795.0,794,795 +Ramp up,0.8085390260173448,0.9366306027820711,0.8678839957035446,1294.0,1499,1294 +Ramp down,0.8881530537159676,0.8073578595317725,0.8458304134548003,1495.0,1359,1495 +Grass walking,0.9148936170212766,0.9494301994301995,0.9318420132820692,1404.0,1457,1404 +Uneven ground walking,0.9084014002333722,0.9622991347342398,0.9345738295318127,1618.0,1714,1618 +Carry,0.9192252215124666,0.9326782354171023,0.9259028642590287,4783.0,4853,4783 +accuracy,0.8436004441211379,0.8436004441211379,0.8436004441211379,0.8436004441211379,0,0 +macro avg,0.806109735978415,0.7779239980682696,0.7723430302159834,26119.0,0,0 +weighted avg,0.8363650365630344,0.8436004441211379,0.8311253610415883,26119.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fad1920052e705341c47d23954893d0a7dde9a73 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.3442389758179232,0.5209903121636168,0.4145610278372591,929.0,1406,929 +Sit to stand,0.40476190476190477,0.10714285714285714,0.16943521594684385,476.0,126,476 +Stand to sit,0.5572519083969466,0.15271966527196654,0.23973727422003285,478.0,131,478 +Sitting,0.3275862068965517,0.459214501510574,0.38238993710691827,331.0,464,331 +Stair up,0.5486725663716814,0.6966292134831461,0.6138613861386139,89.0,113,89 +Stair down,0.5308641975308642,0.5657894736842105,0.5477707006369427,76.0,81,76 +Ramp up,0.5362318840579711,0.5,0.5174825174825175,74.0,69,74 +Ramp down,0.34710743801652894,0.5060240963855421,0.4117647058823529,83.0,121,83 +Grass walking,0.59375,0.6951219512195121,0.6404494382022472,82.0,96,82 +Uneven ground walking,0.4326923076923077,0.5294117647058824,0.47619047619047616,85.0,104,85 +Carry,0.5493827160493827,0.5235294117647059,0.536144578313253,170.0,162,170 +accuracy,0.39505743125652626,0.39505743125652626,0.39505743125652626,0.39505743125652626,0,0 +macro avg,0.4702309186901875,0.47787029521200125,0.4499806598143143,2873.0,0,0 +weighted avg,0.4259631548817768,0.39505743125652626,0.36888822837792923,2873.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ea921de5a50e63a3d6e445bae0488768f12db1c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7776349614395887,0.8329508949059201,0.8043430090848659,10895.0,11670,10895 +Sit to stand,0.3875,0.1225296442687747,0.18618618618618618,1265.0,400,1265 +Stand to sit,0.7254098360655737,0.22590938098276964,0.3445255474452555,1567.0,488,1567 +Sitting,0.6198595787362087,0.8032928942807626,0.6997546706925835,2308.0,2991,2308 +Stair up,0.8315696649029982,0.9448897795591182,0.8846153846153846,998.0,1134,998 +Stair down,0.8548571428571429,0.8587830080367393,0.856815578465063,871.0,875,871 +Ramp up,0.7965561224489796,0.9130116959064327,0.8508174386920981,1368.0,1568,1368 +Ramp down,0.8439189189189189,0.7915082382762991,0.816873773708306,1578.0,1480,1578 +Grass walking,0.8950418544752092,0.9353970390309556,0.9147745969068772,1486.0,1553,1486 +Uneven ground walking,0.8811881188118812,0.9406928948913682,0.9099687588753195,1703.0,1818,1703 +Carry,0.9072781655034895,0.9186351706036745,0.9129213483146067,4953.0,5015,4953 +accuracy,0.7991514900662252,0.7991514900662252,0.7991514900662252,0.7991514900662252,0,0 +macro avg,0.7746194876509083,0.7534182400675286,0.7437814811805951,28992.0,0,0 +weighted avg,0.7881552762180547,0.7991514900662252,0.7818210817333262,28992.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..d338c6c0f3171046ec33c5ee21c351467053640c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8370031176929073,0.8620309050772627,0.8493326742461691,9966.0,10264,9966 +Sit to stand,0.3795620437956204,0.13181242078580482,0.19567262464722485,789.0,274,789 +Stand to sit,0.7871148459383753,0.2580348943985308,0.38865836791147995,1089.0,357,1089 +Sitting,0.6735259200633161,0.860900354071826,0.7557726465364121,1977.0,2527,1977 +Stair up,0.8628795298726738,0.9691969196919692,0.9129533678756476,909.0,1021,909 +Stair down,0.8879093198992444,0.8867924528301887,0.8873505349276274,795.0,794,795 +Ramp up,0.8085390260173448,0.9366306027820711,0.8678839957035446,1294.0,1499,1294 +Ramp down,0.8881530537159676,0.8073578595317725,0.8458304134548003,1495.0,1359,1495 +Grass walking,0.9148936170212766,0.9494301994301995,0.9318420132820692,1404.0,1457,1404 +Uneven ground walking,0.9084014002333722,0.9622991347342398,0.9345738295318127,1618.0,1714,1618 +Carry,0.9192252215124666,0.9326782354171023,0.9259028642590287,4783.0,4853,4783 +accuracy,0.8436004441211379,0.8436004441211379,0.8436004441211379,0.8436004441211379,0,0 +macro avg,0.806109735978415,0.7779239980682696,0.7723430302159834,26119.0,0,0 +weighted avg,0.8363650365630344,0.8436004441211379,0.8311253610415883,26119.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..fad1920052e705341c47d23954893d0a7dde9a73 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/test/horizon_1.0s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.3442389758179232,0.5209903121636168,0.4145610278372591,929.0,1406,929 +Sit to stand,0.40476190476190477,0.10714285714285714,0.16943521594684385,476.0,126,476 +Stand to sit,0.5572519083969466,0.15271966527196654,0.23973727422003285,478.0,131,478 +Sitting,0.3275862068965517,0.459214501510574,0.38238993710691827,331.0,464,331 +Stair up,0.5486725663716814,0.6966292134831461,0.6138613861386139,89.0,113,89 +Stair down,0.5308641975308642,0.5657894736842105,0.5477707006369427,76.0,81,76 +Ramp up,0.5362318840579711,0.5,0.5174825174825175,74.0,69,74 +Ramp down,0.34710743801652894,0.5060240963855421,0.4117647058823529,83.0,121,83 +Grass walking,0.59375,0.6951219512195121,0.6404494382022472,82.0,96,82 +Uneven ground walking,0.4326923076923077,0.5294117647058824,0.47619047619047616,85.0,104,85 +Carry,0.5493827160493827,0.5235294117647059,0.536144578313253,170.0,162,170 +accuracy,0.39505743125652626,0.39505743125652626,0.39505743125652626,0.39505743125652626,0,0 +macro avg,0.4702309186901875,0.47787029521200125,0.4499806598143143,2873.0,0,0 +weighted avg,0.4259631548817768,0.39505743125652626,0.36888822837792923,2873.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..bd0462a8467ec021be0e40b9068f62ee54f08186 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2911,44,57,29,55,14,21,9,27,18,117 +Sit to stand,104,413,44,37,0,0,0,0,0,0,0 +Stand to sit,101,192,356,37,0,0,0,0,0,0,0 +Sitting,4,121,46,666,0,0,0,0,0,0,0 +Stair up,9,0,0,0,329,0,0,13,0,0,0 +Stair down,8,0,0,0,0,177,0,0,0,0,0 +Ramp up,17,0,0,0,0,5,471,0,0,0,0 +Ramp down,18,0,0,1,3,2,3,442,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,408,5,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,263,0 +Carry,65,0,0,0,0,0,0,0,0,0,1098 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..7c97a16ee8d2d02138eba1e829ff8c97d6b28ff6 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2628,19,28,29,39,3,7,4,8,10,94 +Sit to stand,19,229,16,7,0,0,0,0,0,0,0 +Stand to sit,32,92,224,10,0,0,0,0,0,0,0 +Sitting,2,36,15,582,0,0,0,0,0,0,0 +Stair up,5,0,0,0,299,0,0,1,0,0,0 +Stair down,2,0,0,0,0,157,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,443,0,0,0,0 +Ramp down,6,0,0,1,2,2,3,416,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,383,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,243,0 +Carry,51,0,0,0,0,0,0,0,0,0,1062 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1b0f5652d3cc770573ad55e75cda2b56a549fe8b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,283,25,29,0,16,11,14,5,19,8,23 +Sit to stand,85,184,28,30,0,0,0,0,0,0,0 +Stand to sit,69,100,132,27,0,0,0,0,0,0,0 +Sitting,2,85,31,84,0,0,0,0,0,0,0 +Stair up,4,0,0,0,30,0,0,12,0,0,0 +Stair down,6,0,0,0,0,20,0,0,0,0,0 +Ramp up,11,0,0,0,0,5,28,0,0,0,0 +Ramp down,12,0,0,0,1,0,0,26,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,25,5,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,20,0 +Carry,14,0,0,0,0,0,0,0,0,0,36 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..374dab49802c4dc6cca4a3da5dc85b8e638d3608 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8883124809276778,0.8815869170199879,0.884936920504636,3302.0,3277,3302 +Sit to stand,0.5363636363636364,0.6906354515050167,0.6038011695906432,598.0,770,598 +Stand to sit,0.7077534791252486,0.5189504373177842,0.5988225399495374,686.0,503,686 +Sitting,0.8649350649350649,0.7956989247311828,0.8288736776602365,837.0,770,837 +Stair up,0.8501291989664083,0.9373219373219374,0.8915989159891599,351.0,387,351 +Stair down,0.8939393939393939,0.9567567567567568,0.9242819843342036,185.0,198,185 +Ramp up,0.9515151515151515,0.9553752535496958,0.9534412955465587,493.0,495,493 +Ramp down,0.9525862068965517,0.9424307036247335,0.947481243301179,469.0,464,469 +Grass walking,0.9379310344827586,0.9357798165137615,0.9368541905855339,436.0,435,436 +Uneven ground walking,0.9195804195804196,0.9392857142857143,0.9293286219081273,280.0,286,280 +Carry,0.9037037037037037,0.944110060189166,0.9234650967199327,1163.0,1215,1163 +accuracy,0.8561363636363636,0.8561363636363636,0.8561363636363636,0.8561363636363636,0,0 +macro avg,0.8551590700396378,0.863448361165067,0.8566259687354315,8800.0,0,0 +weighted avg,0.859145988178531,0.8561363636363636,0.8555367430306924,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..061e5b8c3fc5c1534daff97e9d6fbde2895faec2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9490790899241603,0.9159986057859881,0.932245477119546,2869.0,2769,2869 +Sit to stand,0.6090425531914894,0.8450184501845018,0.7078825347758887,271.0,376,271 +Stand to sit,0.7915194346289752,0.6256983240223464,0.6989079563182528,358.0,283,358 +Sitting,0.9252782193958664,0.9165354330708662,0.9208860759493671,635.0,629,635 +Stair up,0.8794117647058823,0.980327868852459,0.9271317829457364,305.0,340,305 +Stair down,0.9691358024691358,0.9874213836477987,0.9781931464174455,159.0,162,159 +Ramp up,0.977924944812362,0.9866369710467706,0.9822616407982262,449.0,453,449 +Ramp down,0.9881235154394299,0.9674418604651163,0.9776733254994124,430.0,421,430 +Grass walking,0.979539641943734,0.9745547073791349,0.9770408163265306,393.0,391,393 +Uneven ground walking,0.9604743083003953,0.9681274900398407,0.9642857142857143,251.0,253,251 +Carry,0.9186851211072664,0.954177897574124,0.9360951961216395,1113.0,1156,1113 +accuracy,0.9216092907507258,0.9216092907507258,0.9216092907507258,0.9216092907507258,0,0 +macro avg,0.9043831269016998,0.9201762720062677,0.9093276060507054,7233.0,0,0 +weighted avg,0.9254394208444802,0.9216092907507258,0.9220309368889017,7233.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..73a00f6d0d42a87e0e998e76e7d106e3a0c4cf2e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5570866141732284,0.6535796766743649,0.6014877789585548,433.0,508,433 +Sit to stand,0.467005076142132,0.5626911314984709,0.5104022191400832,327.0,394,327 +Stand to sit,0.6,0.4024390243902439,0.48175182481751827,328.0,220,328 +Sitting,0.5957446808510638,0.4158415841584158,0.4897959183673469,202.0,141,202 +Stair up,0.6382978723404256,0.6521739130434783,0.6451612903225806,46.0,47,46 +Stair down,0.5555555555555556,0.7692307692307693,0.6451612903225806,26.0,36,26 +Ramp up,0.6666666666666666,0.6363636363636364,0.6511627906976745,44.0,42,44 +Ramp down,0.6046511627906976,0.6666666666666666,0.6341463414634146,39.0,43,39 +Grass walking,0.5681818181818182,0.5813953488372093,0.5747126436781609,43.0,44,43 +Uneven ground walking,0.6060606060606061,0.6896551724137931,0.6451612903225806,29.0,33,29 +Carry,0.6101694915254238,0.72,0.6605504587155964,50.0,59,50 +accuracy,0.5539246968730057,0.5539246968730057,0.5539246968730057,0.5539246968730057,0,0 +macro avg,0.5881290494806927,0.6136397202979135,0.5944994406187356,1567.0,0,0 +weighted avg,0.5617782482166697,0.5539246968730057,0.5491917262555863,1567.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..14018cb7b89c0e84a6918c296295d6cfa15658a0 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8785046728971962,0.8824954572986069,0.8804955431334038,3302.0,3317,3302 +Sit to stand,0.5491009681881052,0.6638795986622074,0.6010598031794095,598.0,723,598 +Stand to sit,0.7121535181236673,0.4868804664723032,0.5783549783549784,686.0,469,686 +Sitting,0.8292978208232445,0.8183990442054958,0.8238123872519543,837.0,826,837 +Stair up,0.8375634517766497,0.9401709401709402,0.8859060402684564,351.0,394,351 +Stair down,0.9010416666666666,0.9351351351351351,0.9177718832891246,185.0,192,185 +Ramp up,0.9403578528827038,0.9594320486815415,0.9497991967871486,493.0,503,493 +Ramp down,0.9536423841059603,0.9211087420042644,0.9370932754880694,469.0,453,469 +Grass walking,0.9462616822429907,0.9288990825688074,0.9375,436.0,428,436 +Uneven ground walking,0.889261744966443,0.9464285714285714,0.916955017301038,280.0,298,280 +Carry,0.9072681704260651,0.9337919174548581,0.9203389830508475,1163.0,1197,1163 +accuracy,0.8515909090909091,0.8515909090909091,0.8515909090909091,0.8515909090909091,0,0 +macro avg,0.8494958120999719,0.856056454916612,0.8499170098276756,8800.0,0,0 +weighted avg,0.852283277513953,0.8515909090909091,0.8497105386254885,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..d944d5a4093c998374ce11eeab6afb616d68ecaa --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9431450161928752,0.9135587312652492,0.9281161473087819,2869.0,2779,2869 +Sit to stand,0.6124661246612466,0.8339483394833949,0.70625,271.0,369,271 +Stand to sit,0.7857142857142857,0.5837988826815642,0.6698717948717948,358.0,266,358 +Sitting,0.9033742331288344,0.9275590551181102,0.9153069153069153,635.0,652,635 +Stair up,0.8666666666666667,0.980327868852459,0.92,305.0,345,305 +Stair down,0.9808917197452229,0.9685534591194969,0.9746835443037974,159.0,157,159 +Ramp up,0.9672489082969432,0.9866369710467706,0.9768467475192943,449.0,458,449 +Ramp down,0.9879227053140096,0.9511627906976744,0.9691943127962085,430.0,414,430 +Grass walking,0.979539641943734,0.9745547073791349,0.9770408163265306,393.0,391,393 +Uneven ground walking,0.9384615384615385,0.9721115537848606,0.9549902152641878,251.0,260,251 +Carry,0.9229422066549913,0.9469901168014375,0.9348115299334812,1113.0,1142,1113 +accuracy,0.9167703580810176,0.9167703580810176,0.9167703580810176,0.9167703580810176,0,0 +macro avg,0.898943004252759,0.9126547705663774,0.9024647294209992,7233.0,0,0 +weighted avg,0.9199410984226455,0.9167703580810176,0.9166666964965199,7233.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..52c290bb1daa36c07cdd1534a5ad9fea9816d54d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.0s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5446096654275093,0.6766743648960739,0.6035015447991761,433.0,538,433 +Sit to stand,0.4830508474576271,0.5229357798165137,0.5022026431718062,327.0,354,327 +Stand to sit,0.6157635467980296,0.38109756097560976,0.4708097928436911,328.0,203,328 +Sitting,0.5517241379310345,0.4752475247524752,0.5106382978723404,202.0,174,202 +Stair up,0.6326530612244898,0.6739130434782609,0.6526315789473685,46.0,49,46 +Stair down,0.5428571428571428,0.7307692307692307,0.6229508196721312,26.0,35,26 +Ramp up,0.6666666666666666,0.6818181818181818,0.6741573033707865,44.0,45,44 +Ramp down,0.5897435897435898,0.5897435897435898,0.5897435897435898,39.0,39,39 +Grass walking,0.5945945945945946,0.5116279069767442,0.55,43.0,37,43 +Uneven ground walking,0.5526315789473685,0.7241379310344828,0.6268656716417911,29.0,38,29 +Carry,0.5818181818181818,0.64,0.6095238095238096,50.0,55,50 +accuracy,0.5507338864071474,0.5507338864071474,0.5507338864071474,0.5507338864071474,0,0 +macro avg,0.5778284557696577,0.6007241012964694,0.5830022774169535,1567.0,0,0 +weighted avg,0.557387864564438,0.5507338864071474,0.5451799436396546,1567.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffeed97aad4c25b3abba9a747daedb3ba38f82a4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2914,33,63,29,59,15,26,9,27,19,115 +Sit to stand,70,426,38,46,0,0,0,0,0,0,0 +Stand to sit,138,158,357,28,0,0,0,0,0,0,0 +Sitting,3,137,51,662,0,0,0,0,0,0,0 +Stair up,9,0,0,0,331,0,0,8,0,0,0 +Stair down,8,0,0,0,0,176,0,0,0,0,0 +Ramp up,19,0,0,0,0,3,473,0,0,0,0 +Ramp down,17,0,0,1,2,2,3,445,0,0,0 +Grass walking,22,0,0,0,0,0,0,0,408,3,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,267,0 +Carry,69,0,0,0,0,0,0,0,0,0,1097 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9a9d2d9329f740fad6994dfd4391d29b37dafb16 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2624,18,36,29,36,2,10,2,10,9,87 +Sit to stand,7,224,14,10,0,0,0,0,0,0,0 +Stand to sit,49,73,223,10,0,0,0,0,0,0,0 +Sitting,2,44,11,581,0,0,0,0,0,0,0 +Stair up,5,0,0,0,297,0,0,2,0,0,0 +Stair down,2,0,0,0,0,155,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,447,0,0,0,0 +Ramp down,4,0,0,1,0,2,3,419,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,381,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,248,0 +Carry,54,0,0,0,0,0,0,0,0,0,1062 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d44ac22640b132f118df84ade1330ea35e0352c1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,290,15,27,0,23,13,16,7,17,10,28 +Sit to stand,63,202,24,36,0,0,0,0,0,0,0 +Stand to sit,89,85,134,18,0,0,0,0,0,0,0 +Sitting,1,93,40,81,0,0,0,0,0,0,0 +Stair up,4,0,0,0,34,0,0,6,0,0,0 +Stair down,6,0,0,0,0,21,0,0,0,0,0 +Ramp up,13,0,0,0,0,3,26,0,0,0,0 +Ramp down,13,0,0,0,2,0,0,26,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,27,3,0 +Uneven ground walking,10,0,0,0,0,0,0,0,0,19,0 +Carry,15,0,0,0,0,0,0,0,0,0,35 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c6715962f955121e7a569bfee2a35b51600f4efb --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8876028023149558,0.8806285886974917,0.8841019417475728,3309.0,3283,3309 +Sit to stand,0.5649867374005305,0.7344827586206897,0.638680659670165,580.0,754,580 +Stand to sit,0.7013752455795678,0.5242290748898678,0.6,681.0,509,681 +Sitting,0.8642297650130548,0.776084407971864,0.8177887584928969,853.0,766,853 +Stair up,0.8443877551020408,0.9511494252873564,0.8945945945945946,348.0,392,348 +Stair down,0.8979591836734694,0.9565217391304348,0.9263157894736842,184.0,196,184 +Ramp up,0.9422310756972112,0.9555555555555556,0.9488465396188566,495.0,502,495 +Ramp down,0.9632034632034632,0.9468085106382979,0.9549356223175965,470.0,462,470 +Grass walking,0.9379310344827586,0.9422632794457275,0.9400921658986175,433.0,435,433 +Uneven ground walking,0.9238754325259516,0.9501779359430605,0.9368421052631579,281.0,289,281 +Carry,0.9051155115511551,0.9408233276157805,0.9226240538267452,1166.0,1212,1166 +accuracy,0.8586363636363636,0.8586363636363636,0.8586363636363636,0.8586363636363636,0,0 +macro avg,0.8575361824131054,0.868974963981466,0.8604383846276261,8800.0,0,0 +weighted avg,0.8612356559130645,0.8586363636363636,0.8577788532731329,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd70429b85cb47a04c304fc8435d4e08aec151a4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9479768786127167,0.9165211316800559,0.9319836618717812,2863.0,2768,2863 +Sit to stand,0.6239554317548747,0.8784313725490196,0.7296416938110749,255.0,359,255 +Stand to sit,0.7852112676056338,0.6281690140845071,0.6979655712050078,355.0,284,355 +Sitting,0.9207606973058637,0.9106583072100314,0.9156816390858944,638.0,631,638 +Stair up,0.8918918918918919,0.9769736842105263,0.9324960753532182,304.0,333,304 +Stair down,0.9748427672955975,0.9872611464968153,0.9810126582278481,157.0,159,157 +Ramp up,0.9717391304347827,0.9867549668874173,0.9791894852135816,453.0,460,453 +Ramp down,0.9905437352245863,0.9766899766899767,0.9835680751173709,429.0,423,429 +Grass walking,0.9744245524296675,0.9719387755102041,0.9731800766283525,392.0,391,392 +Uneven ground walking,0.9649805447470817,0.9841269841269841,0.9744597249508841,252.0,257,252 +Carry,0.9242819843342036,0.9516129032258065,0.937748344370861,1116.0,1149,1116 +accuracy,0.9233434987524258,0.9233434987524258,0.9233434987524258,0.9233434987524258,0,0 +macro avg,0.9064189892397182,0.9244671147883039,0.9124479096214433,7214.0,0,0 +weighted avg,0.9267170110744879,0.9233434987524258,0.9236081851532276,7214.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..999ff809ad54b394c30db1d67fc94b1ff0b77471 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5631067961165048,0.6502242152466368,0.603537981269511,446.0,515,446 +Sit to stand,0.5113924050632911,0.6215384615384615,0.5611111111111111,325.0,395,325 +Stand to sit,0.5955555555555555,0.4110429447852761,0.4863883847549909,326.0,225,326 +Sitting,0.6,0.3767441860465116,0.46285714285714286,215.0,135,215 +Stair up,0.576271186440678,0.7727272727272727,0.6601941747572816,44.0,59,44 +Stair down,0.5675675675675675,0.7777777777777778,0.65625,27.0,37,27 +Ramp up,0.6190476190476191,0.6190476190476191,0.6190476190476191,42.0,42,42 +Ramp down,0.6666666666666666,0.6341463414634146,0.65,41.0,39,41 +Grass walking,0.6136363636363636,0.6585365853658537,0.6352941176470588,41.0,44,41 +Uneven ground walking,0.59375,0.6551724137931034,0.6229508196721312,29.0,32,29 +Carry,0.5555555555555556,0.7,0.6194690265486725,50.0,63,50 +accuracy,0.564312736443884,0.564312736443884,0.564312736443884,0.564312736443884,0,0 +macro avg,0.5875045196045274,0.6251779834356297,0.5979182161514107,1586.0,0,0 +weighted avg,0.5704088791756357,0.564312736443884,0.5574522872083865,1586.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..86d919fc8940c29415eac373ee22feab46ba03f4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8756756756756757,0.8812330009066183,0.8784455490284682,3309.0,3330,3309 +Sit to stand,0.5733882030178327,0.7206896551724138,0.6386554621848739,580.0,729,580 +Stand to sit,0.7178947368421053,0.5007342143906021,0.5899653979238755,681.0,475,681 +Sitting,0.85,0.7971864009378663,0.822746521476104,853.0,800,853 +Stair up,0.8254364089775561,0.9511494252873564,0.8838451268357811,348.0,401,348 +Stair down,0.925531914893617,0.9456521739130435,0.9354838709677419,184.0,188,184 +Ramp up,0.9311023622047244,0.9555555555555556,0.9431704885343968,495.0,508,495 +Ramp down,0.9664429530201343,0.9191489361702128,0.9422028353326063,470.0,447,470 +Grass walking,0.9396751740139211,0.9353348729792148,0.9375,433.0,431,433 +Uneven ground walking,0.8837209302325582,0.9466192170818505,0.9140893470790378,281.0,301,281 +Carry,0.9159663865546218,0.934819897084048,0.9252971137521222,1166.0,1190,1166 +accuracy,0.8552272727272727,0.8552272727272727,0.8552272727272727,0.8552272727272727,0,0 +macro avg,0.8549849768575224,0.8625566681344349,0.8555819739195463,8800.0,0,0 +weighted avg,0.8568190480331943,0.8552272727272727,0.8536216602954154,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..0860f40ea7dcc24b2f5116b25c5f999c2592d63d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9393830703012912,0.9147747118407266,0.9269155901610334,2863.0,2788,2863 +Sit to stand,0.6303724928366762,0.8627450980392157,0.7284768211920529,255.0,349,255 +Stand to sit,0.8060836501901141,0.5971830985915493,0.686084142394822,355.0,263,355 +Sitting,0.9095092024539877,0.9294670846394985,0.9193798449612403,638.0,652,638 +Stair up,0.868421052631579,0.9769736842105263,0.9195046439628483,304.0,342,304 +Stair down,0.9935897435897436,0.9872611464968153,0.9904153354632588,157.0,156,157 +Ramp up,0.9612903225806452,0.9867549668874173,0.9738562091503268,453.0,465,453 +Ramp down,0.9902676399026764,0.9487179487179487,0.969047619047619,429.0,411,429 +Grass walking,0.9743589743589743,0.9693877551020408,0.9718670076726342,392.0,390,392 +Uneven ground walking,0.9283018867924528,0.9761904761904762,0.9516441005802708,252.0,265,252 +Carry,0.9338040600176523,0.9480286738351255,0.94086260560249,1116.0,1133,1116 +accuracy,0.9196007762683671,0.9196007762683671,0.9196007762683671,0.9196007762683671,0,0 +macro avg,0.9032165541505265,0.9179531495046672,0.907095810926236,7214.0,0,0 +weighted avg,0.9224999072248503,0.9196007762683671,0.9193702376803008,7214.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..9551292f42b973ab174090d65d486eecb6a92fd2 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.1s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5479704797047971,0.6659192825112108,0.6012145748987854,446.0,542,446 +Sit to stand,0.5210526315789473,0.6092307692307692,0.5617021276595745,325.0,380,325 +Stand to sit,0.6084905660377359,0.39570552147239263,0.4795539033457249,326.0,212,326 +Sitting,0.5878378378378378,0.4046511627906977,0.4793388429752066,215.0,148,215 +Stair up,0.576271186440678,0.7727272727272727,0.6601941747572816,44.0,59,44 +Stair down,0.59375,0.7037037037037037,0.6440677966101694,27.0,32,27 +Ramp up,0.6046511627906976,0.6190476190476191,0.611764705882353,42.0,43,42 +Ramp down,0.6944444444444444,0.6097560975609756,0.6493506493506493,41.0,36,41 +Grass walking,0.6097560975609756,0.6097560975609756,0.6097560975609756,41.0,41,41 +Uneven ground walking,0.5555555555555556,0.6896551724137931,0.6153846153846154,29.0,36,29 +Carry,0.5614035087719298,0.64,0.5981308411214953,50.0,57,50 +accuracy,0.562421185372005,0.562421185372005,0.562421185372005,0.562421185372005,0,0 +macro avg,0.5873803155203272,0.6109229726381281,0.591859848140621,1586.0,0,0 +weighted avg,0.5693102387688924,0.562421185372005,0.5558612105895678,1586.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..08a8d8580d37011b377ad891fcbc83e665c9419c --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2868,35,67,31,73,8,29,9,25,22,114 +Sit to stand,66,434,36,71,0,0,0,0,0,0,0 +Stand to sit,186,124,362,25,0,0,0,0,0,0,0 +Sitting,3,148,37,642,0,0,0,0,0,0,0 +Stair up,9,0,0,0,330,0,0,6,0,0,0 +Stair down,9,0,0,0,0,179,0,0,0,0,0 +Ramp up,20,0,0,0,0,4,472,0,0,0,0 +Ramp down,18,0,0,1,1,2,3,447,0,0,0 +Grass walking,19,0,0,0,0,0,0,0,415,2,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,270,0 +Carry,68,0,0,0,0,0,0,0,0,0,1096 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a93764b5fdb81f03b5743688542758eb59182cd3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2601,13,38,31,50,0,11,3,10,10,87 +Sit to stand,11,234,14,24,0,0,0,0,0,0,0 +Stand to sit,77,53,231,9,0,0,0,0,0,0,0 +Sitting,1,57,3,572,0,0,0,0,0,0,0 +Stair up,3,0,0,0,295,0,0,1,0,0,0 +Stair down,3,0,0,0,0,158,0,0,0,0,0 +Ramp up,7,0,0,0,0,1,447,0,0,0,0 +Ramp down,4,0,0,1,0,2,3,421,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,388,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,248,0 +Carry,55,0,0,0,0,0,0,0,0,0,1057 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e6bbb1503dce75d9359523bde28e99684ff7ada --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,267,22,29,0,23,8,18,6,15,12,27 +Sit to stand,55,200,22,47,0,0,0,0,0,0,0 +Stand to sit,109,71,131,16,0,0,0,0,0,0,0 +Sitting,2,91,34,70,0,0,0,0,0,0,0 +Stair up,6,0,0,0,35,0,0,5,0,0,0 +Stair down,6,0,0,0,0,21,0,0,0,0,0 +Ramp up,13,0,0,0,0,3,25,0,0,0,0 +Ramp down,14,0,0,0,1,0,0,26,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,27,2,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,22,0 +Carry,13,0,0,0,0,0,0,0,0,0,39 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c4fed0845e913ea959190ba0ad3a3eb981bee530 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.874390243902439,0.8741237427613533,0.8742569730224051,3281.0,3280,3281 +Sit to stand,0.5856950067476383,0.71499176276771,0.6439169139465876,607.0,741,607 +Stand to sit,0.7211155378486056,0.5193687230989957,0.603836530442035,697.0,502,697 +Sitting,0.8337662337662337,0.7734939759036145,0.8025,830.0,770,830 +Stair up,0.8168316831683168,0.9565217391304348,0.8811748998664887,345.0,404,345 +Stair down,0.927461139896373,0.9521276595744681,0.9396325459317585,188.0,193,188 +Ramp up,0.9365079365079365,0.9516129032258065,0.944,496.0,504,496 +Ramp down,0.9675324675324676,0.9470338983050848,0.9571734475374732,472.0,462,472 +Grass walking,0.9431818181818182,0.9518348623853211,0.9474885844748858,436.0,440,436 +Uneven ground walking,0.9183673469387755,0.9507042253521126,0.9342560553633218,284.0,294,284 +Carry,0.9057851239669421,0.9415807560137457,0.9233361415332771,1164.0,1210,1164 +accuracy,0.8539772727272728,0.8539772727272728,0.8539772727272728,0.8539772727272728,0,0 +macro avg,0.8573304125870497,0.8666722044107861,0.8592338265562031,8800.0,0,0 +weighted avg,0.8548596742020937,0.8539772727272728,0.8522848743859037,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a99cc722092d21116a232fa342d568d3d80736e3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9376351838500361,0.9113524877365101,0.9243070362473348,2854.0,2774,2854 +Sit to stand,0.6554621848739496,0.8268551236749117,0.73125,283.0,357,283 +Stand to sit,0.8076923076923077,0.6243243243243243,0.7042682926829268,370.0,286,370 +Sitting,0.8979591836734694,0.9036334913112164,0.9007874015748032,633.0,637,633 +Stair up,0.855072463768116,0.9866220735785953,0.9161490683229814,299.0,345,299 +Stair down,0.9813664596273292,0.9813664596273292,0.9813664596273292,161.0,161,161 +Ramp up,0.9696312364425163,0.9824175824175824,0.9759825327510917,455.0,461,455 +Ramp down,0.9905882352941177,0.9767981438515081,0.9836448598130841,431.0,425,431 +Grass walking,0.9748743718592965,0.9822784810126582,0.978562421185372,395.0,398,395 +Uneven ground walking,0.9612403100775194,0.9802371541501976,0.9706457925636007,253.0,258,253 +Carry,0.923951048951049,0.9505395683453237,0.9370567375886525,1112.0,1144,1112 +accuracy,0.9180237372343362,0.9180237372343362,0.9180237372343362,0.9180237372343362,0,0 +macro avg,0.905042998737246,0.9187658990936506,0.9094564183961069,7246.0,0,0 +weighted avg,0.9199911786594216,0.9180237372343362,0.9177143137502868,7246.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..96a52ecbe3347d3dd887b630b5b46d856bea1e17 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5276679841897233,0.6252927400468384,0.572347266881029,427.0,506,427 +Sit to stand,0.5208333333333334,0.6172839506172839,0.5649717514124294,324.0,384,324 +Stand to sit,0.6064814814814815,0.40061162079510704,0.48250460405156537,327.0,216,327 +Sitting,0.5263157894736842,0.3553299492385787,0.42424242424242425,197.0,133,197 +Stair up,0.5932203389830508,0.7608695652173914,0.6666666666666666,46.0,59,46 +Stair down,0.65625,0.7777777777777778,0.711864406779661,27.0,32,27 +Ramp up,0.5813953488372093,0.6097560975609756,0.5952380952380952,41.0,43,41 +Ramp down,0.7027027027027027,0.6341463414634146,0.6666666666666666,41.0,37,41 +Grass walking,0.6428571428571429,0.6585365853658537,0.6506024096385542,41.0,42,41 +Uneven ground walking,0.6111111111111112,0.7096774193548387,0.6567164179104478,31.0,36,31 +Carry,0.5909090909090909,0.75,0.6610169491525424,52.0,66,52 +accuracy,0.5553410553410554,0.5553410553410554,0.5553410553410554,0.5553410553410554,0,0 +macro avg,0.5963403930798664,0.6272074588580054,0.6048034235127348,1554.0,0,0 +weighted avg,0.5596857464317819,0.5553410553410554,0.5481523703414386,1554.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..0fca9b1456a6e01909116e687863e4653b42ee0d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8622754491017964,0.8777811642791832,0.8699592206615315,3281.0,3340,3281 +Sit to stand,0.5991561181434599,0.7018121911037891,0.6464339908952959,607.0,711,607 +Stand to sit,0.718816067653277,0.4878048780487805,0.5811965811965812,697.0,473,697 +Sitting,0.8163771712158809,0.7927710843373494,0.80440097799511,830.0,806,830 +Stair up,0.801452784503632,0.9594202898550724,0.8733509234828496,345.0,413,345 +Stair down,0.9368421052631579,0.9468085106382979,0.9417989417989417,188.0,190,188 +Ramp up,0.9309664694280079,0.9516129032258065,0.9411764705882353,496.0,507,496 +Ramp down,0.9727891156462585,0.9088983050847458,0.9397590361445783,472.0,441,472 +Grass walking,0.9460093896713615,0.9243119266055045,0.9350348027842227,436.0,426,436 +Uneven ground walking,0.8885245901639345,0.954225352112676,0.9202037351443124,284.0,305,284 +Carry,0.9183501683501684,0.9372852233676976,0.9277210884353742,1164.0,1188,1164 +accuracy,0.8498863636363636,0.8498863636363636,0.8498863636363636,0.8498863636363636,0,0 +macro avg,0.853778129921903,0.8584301662417183,0.852821433557003,8800.0,0,0 +weighted avg,0.8498551585007965,0.8498863636363636,0.8473980579726544,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..a22a8eb46ade8564fc0268bf0c872d3e6b21702b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9253200568990043,0.9117028731604765,0.9184609954112248,2854.0,2812,2854 +Sit to stand,0.6735905044510386,0.8021201413427562,0.7322580645161291,283.0,337,283 +Stand to sit,0.7948717948717948,0.5864864864864865,0.6749611197511665,370.0,273,370 +Sitting,0.8887195121951219,0.9210110584518167,0.9045771916214119,633.0,656,633 +Stair up,0.8452722063037249,0.9866220735785953,0.9104938271604939,299.0,349,299 +Stair down,0.9937106918238994,0.9813664596273292,0.9875,161.0,159,161 +Ramp up,0.9612903225806452,0.9824175824175824,0.9717391304347827,455.0,465,455 +Ramp down,0.9902439024390244,0.9419953596287703,0.9655172413793104,431.0,410,431 +Grass walking,0.9794871794871794,0.9670886075949368,0.9732484076433121,395.0,390,395 +Uneven ground walking,0.9323308270676691,0.9802371541501976,0.9556840077071291,253.0,266,253 +Carry,0.933569530558016,0.947841726618705,0.9406514948683623,1112.0,1129,1112 +accuracy,0.9134695004140215,0.9134695004140215,0.9134695004140215,0.9134695004140215,0,0 +macro avg,0.901673320788829,0.9098990475506956,0.9031901345903021,7246.0,0,0 +weighted avg,0.9144305897586837,0.9134695004140215,0.9125834552486768,7246.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..5dde7791a5023d23445e8e7cc53fa2092c933cfc --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.2s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5265151515151515,0.6510538641686182,0.5821989528795811,427.0,528,427 +Sit to stand,0.5320855614973262,0.6141975308641975,0.5702005730659025,324.0,374,324 +Stand to sit,0.615,0.3761467889908257,0.4667931688804554,327.0,200,327 +Sitting,0.5,0.38071065989847713,0.4322766570605187,197.0,150,197 +Stair up,0.5625,0.782608695652174,0.6545454545454545,46.0,64,46 +Stair down,0.6451612903225806,0.7407407407407407,0.6896551724137931,27.0,31,27 +Ramp up,0.5952380952380952,0.6097560975609756,0.6024096385542169,41.0,42,41 +Ramp down,0.7419354838709677,0.5609756097560976,0.6388888888888888,41.0,31,41 +Grass walking,0.5833333333333334,0.5121951219512195,0.5454545454545454,41.0,36,41 +Uneven ground walking,0.5897435897435898,0.7419354838709677,0.6571428571428571,31.0,39,31 +Carry,0.6271186440677966,0.7115384615384616,0.6666666666666666,52.0,59,52 +accuracy,0.5534105534105535,0.5534105534105535,0.5534105534105535,0.5534105534105535,0,0 +macro avg,0.5926028317808036,0.6074417322720688,0.5914756886866255,1554.0,0,0 +weighted avg,0.5596847172744711,0.5534105534105535,0.5457970128757574,1554.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..c1c41b7858b45060915f62831eca69c804b3a245 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2848,40,92,32,82,11,26,10,21,24,112 +Sit to stand,51,420,21,86,0,0,0,0,0,0,0 +Stand to sit,195,76,392,23,0,0,0,0,0,0,0 +Sitting,5,167,31,638,0,0,0,0,0,0,0 +Stair up,11,0,0,0,334,0,0,6,0,0,0 +Stair down,5,0,0,0,0,184,0,0,0,0,0 +Ramp up,18,0,0,0,0,1,477,0,0,0,0 +Ramp down,16,0,0,1,2,2,3,444,0,0,0 +Grass walking,25,0,0,0,0,0,0,0,411,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,273,0 +Carry,70,0,0,0,0,0,0,0,0,0,1097 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6294ba0672dd14ea3a7c9445151db53a236cbeb6 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2589,10,40,31,59,1,8,3,9,12,84 +Sit to stand,4,212,8,31,0,0,0,0,0,0,0 +Stand to sit,96,24,231,6,0,0,0,0,0,0,0 +Sitting,2,65,2,565,0,0,0,0,0,0,0 +Stair up,5,0,0,0,300,0,0,1,0,0,0 +Stair down,1,0,0,0,0,160,0,0,0,0,0 +Ramp up,7,0,0,0,0,0,448,0,0,0,0 +Ramp down,5,0,0,1,0,2,3,417,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,385,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,251,0 +Carry,58,0,0,0,0,0,0,0,0,0,1061 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..37387d7cfe5a0eafcae5b9b562c3d3d926f24fd5 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,259,30,52,1,23,10,18,7,12,12,28 +Sit to stand,47,208,13,55,0,0,0,0,0,0,0 +Stand to sit,99,52,161,17,0,0,0,0,0,0,0 +Sitting,3,102,29,73,0,0,0,0,0,0,0 +Stair up,6,0,0,0,34,0,0,5,0,0,0 +Stair down,4,0,0,0,0,24,0,0,0,0,0 +Ramp up,11,0,0,0,0,1,29,0,0,0,0 +Ramp down,11,0,0,0,2,0,0,27,0,0,0 +Grass walking,16,0,0,0,0,0,0,0,26,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,22,0 +Carry,12,0,0,0,0,0,0,0,0,0,36 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..12a7519f7eaad89fadab69d9f52936a72530772a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8733517325973628,0.8635536688902365,0.8684250647964629,3298.0,3261,3298 +Sit to stand,0.5974395448079659,0.726643598615917,0.6557377049180327,578.0,703,578 +Stand to sit,0.7313432835820896,0.5714285714285714,0.6415711947626841,686.0,536,686 +Sitting,0.8179487179487179,0.7586206896551724,0.7871684145589143,841.0,780,841 +Stair up,0.7990430622009569,0.9515669515669516,0.8686605981794538,351.0,418,351 +Stair down,0.9292929292929293,0.9735449735449735,0.9509043927648578,189.0,198,189 +Ramp up,0.9426877470355731,0.9616935483870968,0.9520958083832335,496.0,506,496 +Ramp down,0.9652173913043478,0.9487179487179487,0.9568965517241379,468.0,460,468 +Grass walking,0.9513888888888888,0.9426605504587156,0.9470046082949308,436.0,432,436 +Uneven ground walking,0.9191919191919192,0.9413793103448276,0.9301533219761499,290.0,297,290 +Carry,0.9073614557485525,0.9400171379605827,0.9234006734006734,1167.0,1209,1167 +accuracy,0.8543181818181819,0.8543181818181819,0.8543181818181819,0.8543181818181819,0,0 +macro avg,0.8576606065999367,0.8708933590519087,0.8620016667054119,8800.0,0,0 +weighted avg,0.8557827052779595,0.8543181818181819,0.8534254203635672,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d7131b93cf92e31e36d48dd9494073d9475f6d3d --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9299568965517241,0.909697821503865,0.9197158081705151,2846.0,2784,2846 +Sit to stand,0.6816720257234726,0.8313725490196079,0.7491166077738516,255.0,311,255 +Stand to sit,0.8220640569395018,0.6470588235294118,0.7241379310344828,357.0,281,357 +Sitting,0.8911671924290221,0.8911671924290221,0.8911671924290221,634.0,634,634 +Stair up,0.8356545961002786,0.9803921568627451,0.9022556390977443,306.0,359,306 +Stair down,0.9815950920245399,0.9937888198757764,0.9876543209876543,161.0,163,161 +Ramp up,0.9760348583877996,0.9846153846153847,0.9803063457330415,455.0,459,455 +Ramp down,0.9904988123515439,0.9742990654205608,0.9823321554770318,428.0,421,428 +Grass walking,0.9771573604060914,0.9771573604060914,0.9771573604060914,394.0,394,394 +Uneven ground walking,0.9543726235741445,0.9691119691119691,0.9616858237547893,259.0,263,259 +Carry,0.9266375545851528,0.9481680071492404,0.9372791519434629,1119.0,1145,1119 +accuracy,0.9175214859994455,0.9175214859994455,0.9175214859994455,0.9175214859994455,0,0 +macro avg,0.9060737335521156,0.9188026499930614,0.9102553033461533,7214.0,0,0 +weighted avg,0.9190223127301261,0.9175214859994455,0.9171784428732715,7214.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..be9df971518475fd1cf47590b50254f9e2356fe3 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5429769392033543,0.5730088495575221,0.5575888051668461,452.0,477,452 +Sit to stand,0.5306122448979592,0.6439628482972136,0.5818181818181818,323.0,392,323 +Stand to sit,0.6313725490196078,0.48936170212765956,0.5513698630136986,329.0,255,329 +Sitting,0.5,0.3526570048309179,0.41359773371104813,207.0,146,207 +Stair up,0.576271186440678,0.7555555555555555,0.6538461538461539,45.0,59,45 +Stair down,0.6857142857142857,0.8571428571428571,0.7619047619047619,28.0,35,28 +Ramp up,0.6170212765957447,0.7073170731707317,0.6590909090909091,41.0,47,41 +Ramp down,0.6923076923076923,0.675,0.6835443037974683,40.0,39,40 +Grass walking,0.6842105263157895,0.6190476190476191,0.65,42.0,38,42 +Uneven ground walking,0.6470588235294118,0.7096774193548387,0.676923076923077,31.0,34,31 +Carry,0.5625,0.75,0.6428571428571429,48.0,64,48 +accuracy,0.5668348045397226,0.5668348045397226,0.5668348045397226,0.5668348045397226,0,0 +macro avg,0.6063677749113203,0.648430084462265,0.6211400847390262,1586.0,0,0 +weighted avg,0.5686966893484531,0.5668348045397226,0.5619391528342846,1586.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..482a3b24c107b42af128e89772935bc565b2dc5a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8565891472868217,0.8711340206185567,0.8638003607937462,3298.0,3354,3298 +Sit to stand,0.6263079222720478,0.7249134948096886,0.6720128307939054,578.0,669,578 +Stand to sit,0.7163561076604554,0.5043731778425656,0.5919589392643285,686.0,483,686 +Sitting,0.813810110974106,0.7847800237812128,0.7990314769975787,841.0,811,841 +Stair up,0.8186274509803921,0.9515669515669516,0.8801054018445322,351.0,408,351 +Stair down,0.9387755102040817,0.9735449735449735,0.9558441558441558,189.0,196,189 +Ramp up,0.9375,0.967741935483871,0.9523809523809523,496.0,512,496 +Ramp down,0.9662921348314607,0.9188034188034188,0.9419496166484118,468.0,445,468 +Grass walking,0.9507042253521126,0.9288990825688074,0.9396751740139211,436.0,426,436 +Uneven ground walking,0.8950819672131147,0.9413793103448276,0.9176470588235294,290.0,305,290 +Carry,0.9168765743073047,0.9357326478149101,0.926208651399491,1167.0,1191,1167 +accuracy,0.8518181818181818,0.8518181818181818,0.8518181818181818,0.8518181818181818,0,0 +macro avg,0.857901922825627,0.8638971851981622,0.8582376926185957,8800.0,0,0 +weighted avg,0.8510157819085498,0.8518181818181818,0.8494082663833443,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..61c2d1c5a64acbdd8ce5670f2b7a51e0b3bfdc5b --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9185472496473907,0.9153197470133521,0.916930658218937,2846.0,2836,2846 +Sit to stand,0.7220338983050848,0.8352941176470589,0.7745454545454545,255.0,295,255 +Stand to sit,0.8015564202334631,0.5770308123249299,0.6710097719869706,357.0,257,357 +Sitting,0.8878648233486943,0.9116719242902208,0.8996108949416343,634.0,651,634 +Stair up,0.8571428571428571,0.9803921568627451,0.9146341463414634,306.0,350,306 +Stair down,0.9937888198757764,0.9937888198757764,0.9937888198757764,161.0,161,161 +Ramp up,0.9678111587982833,0.9912087912087912,0.9793702497285559,455.0,466,455 +Ramp down,0.9926650366748166,0.9485981308411215,0.970131421744325,428.0,409,428 +Grass walking,0.9769820971867008,0.9695431472081218,0.9732484076433121,394.0,391,394 +Uneven ground walking,0.9400749063670412,0.9691119691119691,0.9543726235741445,259.0,267,259 +Carry,0.9363395225464191,0.9463806970509383,0.9413333333333334,1119.0,1131,1119 +accuracy,0.9164125311893541,0.9164125311893541,0.9164125311893541,0.9164125311893541,0,0 +macro avg,0.9086187991024115,0.9125763921304568,0.9080887074485371,7214.0,0,0 +weighted avg,0.9164181808423219,0.9164125311893541,0.915123327311235,7214.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..4cd6da0be5b70739b5e9a29bcad7c7fab1ca5501 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.3s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5173745173745173,0.5929203539823009,0.5525773195876289,452.0,518,452 +Sit to stand,0.5508021390374331,0.6377708978328174,0.5911047345767575,323.0,374,323 +Stand to sit,0.6194690265486725,0.425531914893617,0.5045045045045045,329.0,226,329 +Sitting,0.5125,0.3961352657004831,0.44686648501362397,207.0,160,207 +Stair up,0.5862068965517241,0.7555555555555555,0.6601941747572816,45.0,58,45 +Stair down,0.6857142857142857,0.8571428571428571,0.7619047619047619,28.0,35,28 +Ramp up,0.6304347826086957,0.7073170731707317,0.6666666666666666,41.0,46,41 +Ramp down,0.6666666666666666,0.6,0.631578947368421,40.0,36,40 +Grass walking,0.6571428571428571,0.5476190476190477,0.5974025974025974,42.0,35,42 +Uneven ground walking,0.5789473684210527,0.7096774193548387,0.6376811594202898,31.0,38,31 +Carry,0.55,0.6875,0.6111111111111112,48.0,60,48 +accuracy,0.5580075662042875,0.5580075662042875,0.5580075662042875,0.5580075662042875,0,0 +macro avg,0.5959325945514459,0.6288336713865681,0.6055993147557858,1586.0,0,0 +weighted avg,0.5622297314100816,0.5580075662042875,0.5529672401598081,1586.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..37d720a34fdb4f9d0c5a2f616a41820b10516b87 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2835,54,68,38,79,6,26,9,23,21,102 +Sit to stand,42,415,13,119,0,0,0,0,0,0,0 +Stand to sit,188,33,452,27,0,0,0,0,0,0,0 +Sitting,13,161,36,621,0,0,0,0,0,0,0 +Stair up,8,0,0,0,343,0,0,3,0,0,0 +Stair down,14,0,0,0,0,179,0,0,0,0,0 +Ramp up,15,0,0,0,0,2,487,0,0,0,0 +Ramp down,16,0,0,1,8,2,2,443,0,0,0 +Grass walking,19,0,0,0,0,0,0,0,415,6,0 +Uneven ground walking,15,0,0,0,0,0,0,0,1,280,0 +Carry,71,0,0,0,0,0,0,0,0,0,1089 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f02506a6a6914bffccd73fe65f1de46a69dfdf12 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2572,8,43,33,59,1,11,4,12,13,78 +Sit to stand,3,209,4,50,0,0,0,0,0,0,0 +Stand to sit,74,8,276,8,0,0,0,0,0,0,0 +Sitting,4,78,1,542,0,0,0,0,0,0,0 +Stair up,5,0,0,0,304,0,0,0,0,0,0 +Stair down,4,0,0,0,0,162,0,0,0,0,0 +Ramp up,3,0,0,0,0,0,457,0,0,0,0 +Ramp down,3,0,0,1,0,2,2,423,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,391,2,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,259,0 +Carry,59,0,0,0,0,0,0,0,0,0,1058 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..440af5feed211a7c7133c116b8fafec830864c53 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,263,46,25,5,20,5,15,5,11,8,24 +Sit to stand,39,206,9,69,0,0,0,0,0,0,0 +Stand to sit,114,25,176,19,0,0,0,0,0,0,0 +Sitting,9,83,35,79,0,0,0,0,0,0,0 +Stair up,3,0,0,0,39,0,0,3,0,0,0 +Stair down,10,0,0,0,0,17,0,0,0,0,0 +Ramp up,12,0,0,0,0,2,30,0,0,0,0 +Ramp down,13,0,0,0,8,0,0,20,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,24,4,0 +Uneven ground walking,8,0,0,0,0,0,0,0,1,21,0 +Carry,12,0,0,0,0,0,0,0,0,0,31 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..81df32c84ac1ff95c4711526ac413bf3a8c70d8e --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8760815822002472,0.8693652253909844,0.8727104817608127,3261.0,3236,3261 +Sit to stand,0.6259426847662142,0.7045840407470289,0.6629392971246006,589.0,663,589 +Stand to sit,0.7943760984182777,0.6457142857142857,0.7123719464144996,700.0,569,700 +Sitting,0.7704714640198511,0.7472924187725631,0.7587049480757483,831.0,806,831 +Stair up,0.7976744186046512,0.9689265536723164,0.875,354.0,430,354 +Stair down,0.9470899470899471,0.927461139896373,0.93717277486911,193.0,189,193 +Ramp up,0.945631067961165,0.9662698412698413,0.9558390578999019,504.0,515,504 +Ramp down,0.9736263736263736,0.9385593220338984,0.9557713052858684,472.0,455,472 +Grass walking,0.9453302961275627,0.9431818181818182,0.944254835039818,440.0,439,440 +Uneven ground walking,0.9120521172638436,0.9459459459459459,0.9286898839137645,296.0,307,296 +Carry,0.9143576826196473,0.9387931034482758,0.9264142917907273,1160.0,1191,1160 +accuracy,0.8589772727272728,0.8589772727272728,0.8589772727272728,0.8589772727272728,0,0 +macro avg,0.8638757938816163,0.8723721540975756,0.8663517111068046,8800.0,0,0 +weighted avg,0.860203388158988,0.8589772727272728,0.8584114204237446,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac6bd183ef1a8eb569b10e2c7f777677d8eba0e1 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9386861313868613,0.9075511644318984,0.9228561176892717,2834.0,2740,2834 +Sit to stand,0.6897689768976898,0.7857142857142857,0.7346221441124781,266.0,303,266 +Stand to sit,0.8518518518518519,0.7540983606557377,0.8,366.0,324,366 +Sitting,0.8548895899053628,0.8672,0.8610007942811755,625.0,634,625 +Stair up,0.837465564738292,0.9838187702265372,0.9047619047619048,309.0,363,309 +Stair down,0.9818181818181818,0.9759036144578314,0.9788519637462235,166.0,165,166 +Ramp up,0.9723404255319149,0.9934782608695653,0.9827956989247312,460.0,470,460 +Ramp down,0.990632318501171,0.9814385150812065,0.986013986013986,431.0,427,431 +Grass walking,0.9702233250620348,0.9799498746867168,0.9750623441396509,399.0,403,399 +Uneven ground walking,0.9452554744525548,0.9736842105263158,0.9592592592592593,266.0,274,266 +Carry,0.9313380281690141,0.9471799462846912,0.9391921881935198,1117.0,1136,1117 +accuracy,0.9190495924851498,0.9190495924851498,0.9190495924851498,0.9190495924851498,0,0 +macro avg,0.9058427153013572,0.922728818448617,0.9131287637383818,7239.0,0,0 +weighted avg,0.9206600716600823,0.9190495924851498,0.9192041222280151,7239.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b24b791d43a739c1c31d2787badff5e882dbc575 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.530241935483871,0.6159250585480094,0.5698808234019501,427.0,496,427 +Sit to stand,0.5722222222222222,0.6377708978328174,0.6032210834553441,323.0,360,323 +Stand to sit,0.7183673469387755,0.5269461077844312,0.6079447322970639,334.0,245,334 +Sitting,0.45930232558139533,0.38349514563106796,0.41798941798941797,206.0,172,206 +Stair up,0.582089552238806,0.8666666666666667,0.6964285714285714,45.0,67,45 +Stair down,0.7083333333333334,0.6296296296296297,0.6666666666666666,27.0,24,27 +Ramp up,0.6666666666666666,0.6818181818181818,0.6741573033707865,44.0,45,44 +Ramp down,0.7142857142857143,0.4878048780487805,0.5797101449275363,41.0,28,41 +Grass walking,0.6666666666666666,0.5853658536585366,0.6233766233766234,41.0,36,41 +Uneven ground walking,0.6363636363636364,0.7,0.6666666666666666,30.0,33,30 +Carry,0.5636363636363636,0.7209302325581395,0.6326530612244898,43.0,55,43 +accuracy,0.5803971812940423,0.5803971812940423,0.5803971812940423,0.5803971812940423,0,0 +macro avg,0.6198341603106774,0.6214866047432963,0.6126086449822834,1561.0,0,0 +weighted avg,0.5896161055138431,0.5803971812940423,0.5783931636370737,1561.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..dcc9fa255d7751d551f2fb2af6c6817bc65ef35a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.848377581120944,0.8819380558111009,0.8648323560366862,3261.0,3390,3261 +Sit to stand,0.6532663316582915,0.6621392190152802,0.657672849915683,589.0,597,589 +Stand to sit,0.7865853658536586,0.5528571428571428,0.6493288590604027,700.0,492,700 +Sitting,0.763938315539739,0.7749699157641395,0.7694145758661888,831.0,843,831 +Stair up,0.8127962085308057,0.9689265536723164,0.884020618556701,354.0,422,354 +Stair down,0.956989247311828,0.9222797927461139,0.9393139841688655,193.0,186,193 +Ramp up,0.9381044487427466,0.9623015873015873,0.9500489715964741,504.0,517,504 +Ramp down,0.9794050343249427,0.9067796610169492,0.9416941694169417,472.0,437,472 +Grass walking,0.9518348623853211,0.9431818181818182,0.9474885844748858,440.0,436,440 +Uneven ground walking,0.9177631578947368,0.9425675675675675,0.93,296.0,304,296 +Carry,0.9209183673469388,0.9336206896551724,0.9272260273972602,1160.0,1176,1160 +accuracy,0.8531818181818182,0.8531818181818182,0.8531818181818182,0.8531818181818182,0,0 +macro avg,0.8663617200645412,0.859232909417199,0.8600946360445536,8800.0,0,0 +weighted avg,0.8526157726046425,0.8531818181818182,0.8507720150040805,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..e0bf4d036e45acf4b15ba8d5b3f29de97bebbf7a --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9204545454545454,0.9146083274523642,0.9175221238938053,2834.0,2816,2834 +Sit to stand,0.7381818181818182,0.7631578947368421,0.7504621072088724,266.0,275,266 +Stand to sit,0.8466898954703833,0.6639344262295082,0.7442572741194488,366.0,287,366 +Sitting,0.8564885496183207,0.8976,0.8765625,625.0,655,625 +Stair up,0.8491620111731844,0.9838187702265372,0.9115442278860569,309.0,358,309 +Stair down,0.9938271604938271,0.9698795180722891,0.9817073170731707,166.0,162,166 +Ramp up,0.9620253164556962,0.991304347826087,0.9764453961456103,460.0,474,460 +Ramp down,0.9927710843373494,0.9559164733178654,0.9739952718676123,431.0,415,431 +Grass walking,0.9775,0.9799498746867168,0.9787234042553191,399.0,400,399 +Uneven ground walking,0.945054945054945,0.9699248120300752,0.9573283858998145,266.0,273,266 +Carry,0.9368327402135231,0.9427036705461056,0.9397590361445783,1117.0,1124,1117 +accuracy,0.9164249205691394,0.9164249205691394,0.9164249205691394,0.9164249205691394,0,0 +macro avg,0.9108170969503266,0.9120725559203993,0.9098460949540261,7239.0,0,0 +weighted avg,0.916666670800495,0.9164249205691394,0.9156773866879263,7239.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..304a9a1e9767ebb3662829a32f87298a226f2b00 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_0.5s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.49477351916376305,0.6651053864168618,0.5674325674325674,427.0,574,427 +Sit to stand,0.5807453416149069,0.5789473684210527,0.57984496124031,323.0,322,323 +Stand to sit,0.7024390243902439,0.4311377245508982,0.5343228200371057,334.0,205,334 +Sitting,0.44148936170212766,0.4029126213592233,0.4213197969543147,206.0,188,206 +Stair up,0.609375,0.8666666666666667,0.7155963302752294,45.0,64,45 +Stair down,0.7083333333333334,0.6296296296296297,0.6666666666666666,27.0,24,27 +Ramp up,0.6744186046511628,0.6590909090909091,0.6666666666666666,44.0,43,44 +Ramp down,0.7272727272727273,0.3902439024390244,0.5079365079365079,41.0,22,41 +Grass walking,0.6666666666666666,0.5853658536585366,0.6233766233766234,41.0,36,41 +Uneven ground walking,0.6774193548387096,0.7,0.6885245901639344,30.0,31,30 +Carry,0.5769230769230769,0.6976744186046512,0.631578947368421,43.0,52,43 +accuracy,0.5598975016015375,0.5598975016015375,0.5598975016015375,0.5598975016015375,0,0 +macro avg,0.6236232736869745,0.600615861894314,0.6002969525562135,1561.0,0,0 +weighted avg,0.5784199630945173,0.5598975016015375,0.5564202228447314,1561.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..6cb716db702719a8fa5793bb9ed1bddf7a8fc5c4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2776,59,70,66,58,3,24,12,28,26,102 +Sit to stand,194,229,42,126,0,0,0,0,0,0,0 +Stand to sit,214,20,410,50,0,0,0,0,0,0,0 +Sitting,99,51,74,607,0,0,0,0,0,0,0 +Stair up,5,0,0,0,348,0,0,5,0,0,0 +Stair down,22,0,0,0,0,179,0,0,0,0,0 +Ramp up,35,0,0,0,0,0,480,0,0,0,0 +Ramp down,16,0,0,1,0,2,0,451,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,411,4,0 +Uneven ground walking,20,0,0,0,0,0,0,0,1,290,0 +Carry,88,0,0,1,0,0,0,0,0,0,1075 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b36a685d04aa3f5059cb67e8366a70e371fc8df --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2517,9,46,56,46,0,13,3,18,14,82 +Sit to stand,96,115,7,55,0,0,0,0,0,0,0 +Stand to sit,86,2,266,14,0,0,0,0,0,0,0 +Sitting,59,33,5,528,0,0,0,0,0,0,0 +Stair up,4,0,0,0,312,0,0,0,0,0,0 +Stair down,8,0,0,0,0,166,0,0,0,0,0 +Ramp up,15,0,0,0,0,0,457,0,0,0,0 +Ramp down,6,0,0,1,0,2,0,422,0,0,0 +Grass walking,14,0,0,0,0,0,0,0,387,1,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,269,0 +Carry,72,0,0,0,0,0,0,0,0,0,1046 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..31f30efcabc8100453fbb841c2ddc75c063e6920 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,259,50,24,10,12,3,11,9,10,12,20 +Sit to stand,98,114,35,71,0,0,0,0,0,0,0 +Stand to sit,128,18,144,36,0,0,0,0,0,0,0 +Sitting,40,18,69,79,0,0,0,0,0,0,0 +Stair up,1,0,0,0,36,0,0,5,0,0,0 +Stair down,14,0,0,0,0,13,0,0,0,0,0 +Ramp up,20,0,0,0,0,0,23,0,0,0,0 +Ramp down,10,0,0,0,0,0,0,29,0,0,0 +Grass walking,12,0,0,0,0,0,0,0,24,3,0 +Uneven ground walking,9,0,0,0,0,0,0,0,1,21,0 +Carry,16,0,0,1,0,0,0,0,0,0,29 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f31d312adedce8379dc337552d18526a35a400e4 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.794277539341917,0.8610421836228288,0.8263134394999256,3224.0,3495,3224 +Sit to stand,0.637883008356546,0.38747884940778343,0.48210526315789476,591.0,359,591 +Stand to sit,0.6879194630872483,0.590778097982709,0.6356589147286822,694.0,596,694 +Sitting,0.7132784958871915,0.7304452466907341,0.7217598097502973,831.0,851,831 +Stair up,0.8571428571428571,0.9720670391061452,0.9109947643979057,358.0,406,358 +Stair down,0.9728260869565217,0.8905472636815921,0.9298701298701298,201.0,184,201 +Ramp up,0.9523809523809523,0.9320388349514563,0.9421000981354269,515.0,504,515 +Ramp down,0.9636752136752137,0.9595744680851064,0.9616204690831557,470.0,468,470 +Grass walking,0.9340909090909091,0.9319727891156463,0.9330306469920545,441.0,440,441 +Uneven ground walking,0.90625,0.932475884244373,0.919175911251981,311.0,320,311 +Carry,0.913338997451147,0.9235395189003437,0.9184109354976506,1164.0,1177,1164 +accuracy,0.8245454545454546,0.8245454545454546,0.8245454545454546,0.8245454545454546,0,0 +macro avg,0.8484603203064094,0.8283600159807926,0.834640034760464,8800.0,0,0 +weighted avg,0.8193856072071631,0.8245454545454546,0.8189127470008615,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6c941e0463823dddfe9dd776f1f85b66d3da3060 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8715373961218836,0.8976462196861626,0.8843991567111735,2804.0,2888,2804 +Sit to stand,0.7232704402515723,0.42124542124542125,0.5324074074074074,273.0,159,273 +Stand to sit,0.8209876543209876,0.7228260869565217,0.7687861271676301,368.0,324,368 +Sitting,0.8073394495412844,0.8448,0.8256450351837373,625.0,654,625 +Stair up,0.8715083798882681,0.9873417721518988,0.9258160237388724,316.0,358,316 +Stair down,0.9880952380952381,0.9540229885057471,0.9707602339181286,174.0,168,174 +Ramp up,0.9723404255319149,0.9682203389830508,0.970276008492569,472.0,470,472 +Ramp down,0.9929411764705882,0.9791183294663574,0.985981308411215,431.0,425,431 +Grass walking,0.9555555555555556,0.9626865671641791,0.9591078066914498,402.0,405,402 +Uneven ground walking,0.9471830985915493,0.9607142857142857,0.9539007092198581,280.0,284,280 +Carry,0.9273049645390071,0.9355992844364938,0.931433659839715,1118.0,1128,1118 +accuracy,0.8928817293129561,0.8928817293129561,0.8928817293129561,0.8928817293129561,0,0 +macro avg,0.8980057980825318,0.8758382994827382,0.882592134252887,7263.0,0,0 +weighted avg,0.89057598793124,0.8928817293129561,0.8897891549135573,7263.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..4296b5f4e1cf381178284773f3b6a327cba70103 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.42668863261943984,0.6166666666666667,0.5043816942551119,420.0,607,420 +Sit to stand,0.57,0.3584905660377358,0.44015444015444016,318.0,200,318 +Stand to sit,0.5294117647058824,0.44171779141104295,0.4816053511705686,326.0,272,326 +Sitting,0.4010152284263959,0.38349514563106796,0.3920595533498759,206.0,197,206 +Stair up,0.75,0.8571428571428571,0.8,42.0,48,42 +Stair down,0.8125,0.48148148148148145,0.6046511627906976,27.0,16,27 +Ramp up,0.6764705882352942,0.5348837209302325,0.5974025974025974,43.0,34,43 +Ramp down,0.6744186046511628,0.7435897435897436,0.7073170731707317,39.0,43,39 +Grass walking,0.6857142857142857,0.6153846153846154,0.6486486486486487,39.0,35,39 +Uneven ground walking,0.5833333333333334,0.6774193548387096,0.6268656716417911,31.0,36,31 +Carry,0.5918367346938775,0.6304347826086957,0.6105263157894737,46.0,49,46 +accuracy,0.501626545217957,0.501626545217957,0.501626545217957,0.501626545217957,0,0 +macro avg,0.6092171974890611,0.5764278841566225,0.583055682579449,1537.0,0,0 +weighted avg,0.5182468049432283,0.501626545217957,0.49810711685736264,1537.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f871c1756843b4b0221553cb95a1f90cc6d8e57 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7746400885935769,0.8678660049627791,0.8186073727325922,3224.0,3612,3224 +Sit to stand,0.6276923076923077,0.34517766497461927,0.44541484716157204,591.0,325,591 +Stand to sit,0.7313131313131314,0.521613832853026,0.6089150546677881,694.0,495,694 +Sitting,0.6971046770601337,0.753309265944645,0.7241179872758821,831.0,898,831 +Stair up,0.85785536159601,0.9608938547486033,0.9064558629776021,358.0,401,358 +Stair down,0.9728260869565217,0.8905472636815921,0.9298701298701298,201.0,184,201 +Ramp up,0.9447731755424064,0.9300970873786408,0.9373776908023483,515.0,507,515 +Ramp down,0.9716157205240175,0.9468085106382979,0.959051724137931,470.0,458,470 +Grass walking,0.9402298850574713,0.927437641723356,0.9337899543378996,441.0,435,441 +Uneven ground walking,0.9142857142857143,0.9260450160771704,0.9201277955271565,311.0,315,311 +Carry,0.9179487179487179,0.9226804123711341,0.9203084832904884,1164.0,1170,1164 +accuracy,0.8190909090909091,0.8190909090909091,0.8190909090909091,0.8190909090909091,0,0 +macro avg,0.8500258969609099,0.8174978686685331,0.8276397184346718,8800.0,0,0 +weighted avg,0.8146108500415795,0.8190909090909091,0.8114634709895537,8800.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..a1b5ad8835eeffefd02b4550bb06e83134a3e688 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8643662453023574,0.9022824536376605,0.8829174664107485,2804.0,2927,2804 +Sit to stand,0.7357142857142858,0.3772893772893773,0.49878934624697335,273.0,140,273 +Stand to sit,0.833922261484099,0.6413043478260869,0.7250384024577573,368.0,283,368 +Sitting,0.7881844380403458,0.8752,0.8294162244124337,625.0,694,625 +Stair up,0.8732394366197183,0.9810126582278481,0.9239940387481371,316.0,355,316 +Stair down,0.9881656804733728,0.9597701149425287,0.9737609329446064,174.0,169,174 +Ramp up,0.9661733615221987,0.9682203389830508,0.9671957671957672,472.0,473,472 +Ramp down,0.9928741092636579,0.9698375870069605,0.9812206572769953,431.0,421,431 +Grass walking,0.9649122807017544,0.9577114427860697,0.9612983770287141,402.0,399,402 +Uneven ground walking,0.9501779359430605,0.9535714285714286,0.9518716577540107,280.0,281,280 +Carry,0.9330954504906334,0.9355992844364938,0.9343456900401965,1118.0,1121,1118 +accuracy,0.8902657304144292,0.8902657304144292,0.8902657304144292,0.8902657304144292,0,0 +macro avg,0.8991659532323166,0.8656180939734096,0.8754407782287582,7263.0,0,0 +weighted avg,0.8884791337586639,0.8902657304144292,0.8860626265846833,7263.0,0,0 diff --git a/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e50376fab31b40dd449b82529bd77320ecc9619 --- /dev/null +++ b/train/revalexo_cross_population/resnet18/20260409_020715_RevalExoDataset_image_ResNet18_Image/val/horizon_1.0s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.39124087591240875,0.638095238095238,0.4850678733031674,420.0,685,420 +Sit to stand,0.5459459459459459,0.31761006289308175,0.40159045725646125,318.0,185,318 +Stand to sit,0.5943396226415094,0.38650306748466257,0.4684014869888476,326.0,212,326 +Sitting,0.3872549019607843,0.38349514563106796,0.3853658536585366,206.0,204,206 +Stair up,0.7391304347826086,0.8095238095238095,0.7727272727272727,42.0,46,42 +Stair down,0.8,0.4444444444444444,0.5714285714285714,27.0,15,27 +Ramp up,0.6470588235294118,0.5116279069767442,0.5714285714285714,43.0,34,43 +Ramp down,0.7297297297297297,0.6923076923076923,0.7105263157894737,39.0,37,39 +Grass walking,0.6666666666666666,0.6153846153846154,0.64,39.0,36,39 +Uneven ground walking,0.6176470588235294,0.6774193548387096,0.6461538461538462,31.0,34,31 +Carry,0.5714285714285714,0.6086956521739131,0.5894736842105263,46.0,49,46 +accuracy,0.4827586206896552,0.4827586206896552,0.4827586206896552,0.4827586206896552,0,0 +macro avg,0.6082220574019243,0.5531915445230889,0.5674694484495704,1537.0,0,0 +weighted avg,0.5151727037868664,0.4827586206896552,0.47871838209609385,1537.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a7bb0544416a2dcb550524cce8d9e7aafade6d75 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1796,0,0,0,9,0,1,6,0,8,27 +Sit to stand,87,82,0,4,0,0,0,0,0,0,0 +Stand to sit,93,35,81,4,0,0,0,0,0,0,0 +Sitting,22,23,1,623,0,0,0,0,0,0,0 +Stair up,7,0,0,0,118,0,0,0,0,0,0 +Stair down,21,0,0,0,0,73,0,0,0,0,0 +Ramp up,33,0,0,0,0,0,144,0,0,0,0 +Ramp down,29,0,0,0,0,0,0,207,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,156,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,157,0 +Carry,108,0,0,0,0,0,0,0,0,0,575 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d15cea4b7a572ab26fa1b614c3a4b989372516e2 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,101,0,1,0,6,2,4,6,1,5,3 +Sit to stand,28,23,0,5,0,0,0,0,0,0,0 +Stand to sit,27,8,11,10,0,0,0,0,0,0,0 +Sitting,6,22,0,18,0,0,0,0,0,0,0 +Stair up,6,0,0,0,6,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,5,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,18,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6f98723c192f0f5ad4d53a42e065a6646648b5da --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7790554414784394,0.9600202429149798,0.8601224212196781,1976.0,2435,1976 +Sit to stand,0.5440414507772021,0.4585152838427948,0.4976303317535545,229.0,193,229 +Stand to sit,0.9787234042553191,0.3420074349442379,0.5068870523415978,269.0,94,269 +Sitting,0.9653614457831325,0.8965034965034965,0.9296591733139956,715.0,664,715 +Stair up,0.8920863309352518,0.9051094890510949,0.8985507246376812,137.0,139,137 +Stair down,0.975,0.75,0.8478260869565217,104.0,80,104 +Ramp up,0.9675324675324676,0.7925531914893617,0.8713450292397661,188.0,154,188 +Ramp down,0.9466666666666667,0.8588709677419355,0.9006342494714588,248.0,225,248 +Grass walking,0.9937888198757764,0.8602150537634409,0.9221902017291066,186.0,161,186 +Uneven ground walking,0.9257142857142857,0.9418604651162791,0.9337175792507204,172.0,175,172 +Carry,0.9506578947368421,0.8210227272727273,0.8810975609756098,704.0,608,704 +accuracy,0.8520698051948052,0.8520698051948052,0.8520698051948052,0.8520698051948052,0,0 +macro avg,0.9016934734323075,0.7806071229673044,0.8226964009899718,4928.0,0,0 +weighted avg,0.8667055751158791,0.8520698051948052,0.8452685028541903,4928.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..48f1500b692484369be34bc47136f02c1866bf56 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8086447546150383,0.9723876556578235,0.8829891838741396,1847.0,2221,1847 +Sit to stand,0.5857142857142857,0.47398843930635837,0.5239616613418531,173.0,140,173 +Stand to sit,0.9878048780487805,0.38028169014084506,0.5491525423728814,213.0,82,213 +Sitting,0.9873217115689382,0.9312406576980568,0.9584615384615385,669.0,631,669 +Stair up,0.9291338582677166,0.944,0.9365079365079365,125.0,127,125 +Stair down,1.0,0.776595744680851,0.874251497005988,94.0,73,94 +Ramp up,0.993103448275862,0.8135593220338984,0.8944099378881988,177.0,145,177 +Ramp down,0.971830985915493,0.8771186440677966,0.9220489977728286,236.0,213,236 +Grass walking,1.0,0.8863636363636364,0.9397590361445783,176.0,156,176 +Uneven ground walking,0.9515151515151515,0.9691358024691358,0.9602446483180428,162.0,165,162 +Carry,0.9551495016611296,0.8418740849194729,0.8949416342412452,683.0,602,683 +accuracy,0.8807903402854007,0.8807903402854007,0.8807903402854007,0.8807903402854007,0,0 +macro avg,0.924565325052945,0.8060496070307159,0.8487935103572029,4555.0,0,0 +weighted avg,0.8921189498904306,0.8807903402854007,0.8753164139675658,4555.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..20bfcb5f443a89f5ab8377ac4380bd9a02f2c058 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1901,1,2,0,14,4,5,9,0,9,27 +Sit to stand,133,91,0,6,0,0,0,0,0,0,0 +Stand to sit,138,24,100,11,0,0,0,0,0,0,0 +Sitting,51,49,1,612,0,0,0,0,0,0,0 +Stair up,12,0,0,0,124,0,0,0,0,0,0 +Stair down,25,0,0,0,0,76,0,0,0,0,0 +Ramp up,41,0,0,0,0,0,147,0,0,0,0 +Ramp down,36,0,0,0,0,0,0,214,0,0,0 +Grass walking,27,0,0,0,0,0,0,0,161,0,0 +Uneven ground walking,6,0,0,0,0,0,0,0,0,166,0 +Carry,129,0,0,0,0,0,0,0,0,0,576 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a13c351ef38db72fcbd818f4cda80e35e93f24d0 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1800,0,0,0,9,0,1,4,0,4,25 +Sit to stand,102,72,0,2,0,0,0,0,0,0,0 +Stand to sit,105,17,95,1,0,0,0,0,0,0,0 +Sitting,38,31,0,595,0,0,0,0,0,0,0 +Stair up,6,0,0,0,118,0,0,0,0,0,0 +Stair down,20,0,0,0,0,71,0,0,0,0,0 +Ramp up,35,0,0,0,0,0,143,0,0,0,0 +Ramp down,30,0,0,0,0,0,0,208,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,159,0,0 +Uneven ground walking,2,0,0,0,0,0,0,0,0,160,0 +Carry,112,0,0,0,0,0,0,0,0,0,573 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..2105ea0234d7337144d6af41124343bd635db0b2 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,101,1,2,0,5,4,4,5,0,5,2 +Sit to stand,31,19,0,4,0,0,0,0,0,0,0 +Stand to sit,33,7,5,10,0,0,0,0,0,0,0 +Sitting,13,18,1,17,0,0,0,0,0,0,0 +Stair up,6,0,0,0,6,0,0,0,0,0,0 +Stair down,5,0,0,0,0,5,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,4,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,4,0,0,0,0,0,0,0,0,6,0 +Carry,17,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..4c1e9841ae54ce8cdaf546f186ef3e7ac1cb39b6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7607042817126851,0.9639959432048681,0.8503690449563855,1972.0,2499,1972 +Sit to stand,0.5515151515151515,0.39565217391304347,0.4607594936708861,230.0,165,230 +Stand to sit,0.970873786407767,0.3663003663003663,0.5319148936170213,273.0,103,273 +Sitting,0.972972972972973,0.8583450210378681,0.9120715350223547,713.0,629,713 +Stair up,0.8985507246376812,0.9117647058823529,0.9051094890510949,136.0,138,136 +Stair down,0.95,0.7524752475247525,0.8397790055248618,101.0,80,101 +Ramp up,0.9671052631578947,0.7819148936170213,0.8647058823529412,188.0,152,188 +Ramp down,0.9596412556053812,0.856,0.904862579281184,250.0,223,250 +Grass walking,1.0,0.8563829787234043,0.9226361031518625,188.0,161,188 +Uneven ground walking,0.9485714285714286,0.9651162790697675,0.9567723342939481,172.0,175,172 +Carry,0.9552238805970149,0.8170212765957446,0.8807339449541285,705.0,603,705 +accuracy,0.8457792207792207,0.8457792207792207,0.8457792207792207,0.8457792207792207,0,0 +macro avg,0.9031962495616344,0.7749971714426536,0.8208831187160609,4928.0,0,0 +weighted avg,0.862459765678954,0.8457792207792207,0.8388906232715219,4928.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..b0ab0221c3bf0e363aecfccc7d115a8bdee2c009 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7929515418502202,0.9766684753119913,0.87527352297593,1843.0,2270,1843 +Sit to stand,0.6,0.4090909090909091,0.4864864864864865,176.0,120,176 +Stand to sit,1.0,0.43577981651376146,0.6070287539936102,218.0,95,218 +Sitting,0.9949832775919732,0.8960843373493976,0.9429477020602218,664.0,598,664 +Stair up,0.9291338582677166,0.9516129032258065,0.9402390438247012,124.0,127,124 +Stair down,1.0,0.7802197802197802,0.8765432098765432,91.0,71,91 +Ramp up,0.9930555555555556,0.8033707865168539,0.8881987577639752,178.0,144,178 +Ramp down,0.9811320754716981,0.8739495798319328,0.9244444444444444,238.0,212,238 +Grass walking,1.0,0.888268156424581,0.9408284023668639,179.0,159,179 +Uneven ground walking,0.975609756097561,0.9876543209876543,0.9815950920245399,162.0,164,162 +Carry,0.9581939799331104,0.8364963503649635,0.8932190179267342,685.0,598,685 +accuracy,0.8762615182097411,0.8762615182097411,0.8762615182097411,0.8762615182097411,0,0 +macro avg,0.9295509131607124,0.803563219621603,0.8506185848858228,4558.0,0,0 +weighted avg,0.8897709885847657,0.8762615182097411,0.8712054000458767,4558.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ced834645566518848e1ebdcdbcd316e38035148 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4410480349344978,0.7829457364341085,0.5642458100558659,129.0,229,129 +Sit to stand,0.4222222222222222,0.35185185185185186,0.3838383838383838,54.0,45,54 +Stand to sit,0.625,0.09090909090909091,0.15873015873015872,55.0,8,55 +Sitting,0.5483870967741935,0.3469387755102041,0.425,49.0,31,49 +Stair up,0.5454545454545454,0.5,0.5217391304347826,12.0,11,12 +Stair down,0.5555555555555556,0.5,0.5263157894736842,10.0,9,10 +Ramp up,0.5,0.4,0.4444444444444444,10.0,8,10 +Ramp down,0.5454545454545454,0.5,0.5217391304347826,12.0,11,12 +Grass walking,1.0,0.2222222222222222,0.36363636363636365,9.0,2,9 +Uneven ground walking,0.5454545454545454,0.6,0.5714285714285714,10.0,11,10 +Carry,0.6,0.15,0.24,20.0,5,20 +accuracy,0.4702702702702703,0.4702702702702703,0.4702702702702703,0.4702702702702703,0,0 +macro avg,0.5753251405318277,0.4040788797206798,0.42919252567973065,370.0,0,0 +weighted avg,0.5163302009445833,0.4702702702702703,0.4299635011115331,370.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0cf190f036a9d3ac92ff87a4791cbb0373b9dc0f --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1809,0,0,0,8,0,0,1,0,2,25 +Sit to stand,114,61,0,2,0,0,0,0,0,0,0 +Stand to sit,99,6,116,0,0,0,0,0,0,0,0 +Sitting,61,96,0,503,0,0,0,0,0,0,0 +Stair up,3,0,0,0,122,0,0,0,0,0,0 +Stair down,17,0,0,0,0,75,0,0,0,0,0 +Ramp up,37,0,0,0,0,0,140,0,0,0,0 +Ramp down,27,0,0,0,0,0,0,209,0,0,0 +Grass walking,15,0,0,0,0,0,0,0,162,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,157,0 +Carry,117,0,0,0,0,0,0,0,0,0,570 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5804d98439ea0aecf4aefcfe9f397bf46d5989a3 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,109,0,1,0,5,1,1,4,0,3,0 +Sit to stand,39,15,0,2,0,0,0,0,0,0,0 +Stand to sit,38,5,9,3,0,0,0,0,0,0,0 +Sitting,13,21,0,13,0,0,0,0,0,0,0 +Stair up,5,0,0,0,7,0,0,0,0,0,0 +Stair down,4,0,0,0,0,5,0,0,0,0,0 +Ramp up,6,0,0,0,0,0,4,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,0,0,0 +Uneven ground walking,5,0,0,0,0,0,0,0,0,5,0 +Carry,18,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b2b385a764a14b6dd325182d770414485ca80721 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7489262007028504,0.9740985271711529,0.8467991169977925,1969.0,2561,1969 +Sit to stand,0.37254901960784315,0.3261802575107296,0.34782608695652173,233.0,204,233 +Stand to sit,0.9920634920634921,0.4528985507246377,0.6218905472636815,276.0,126,276 +Sitting,0.9866156787762906,0.7298444130127298,0.8390243902439024,707.0,523,707 +Stair up,0.9084507042253521,0.9416058394160584,0.9247311827956989,137.0,142,137 +Stair down,0.9876543209876543,0.7920792079207921,0.8791208791208791,101.0,81,101 +Ramp up,0.993103448275862,0.7700534759358288,0.8674698795180723,187.0,145,187 +Ramp down,0.9772727272727273,0.8669354838709677,0.9188034188034188,248.0,220,248 +Grass walking,1.0,0.8617021276595744,0.9257142857142857,188.0,162,188 +Uneven ground walking,0.9700598802395209,0.9257142857142857,0.9473684210526315,175.0,167,175 +Carry,0.9581239530988275,0.809052333804809,0.8773006134969326,707.0,597,707 +accuracy,0.8317775974025974,0.8317775974025974,0.8317775974025974,0.8317775974025974,0,0 +macro avg,0.899529038659129,0.768196772976506,0.8178226201785289,4928.0,0,0 +weighted avg,0.856376896799825,0.8317775974025974,0.8276902929961268,4928.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..803e8dd12e56875e327aa062575056a620fa6ac6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7841352405721717,0.9804878048780488,0.8713872832369942,1845.0,2307,1845 +Sit to stand,0.37423312883435583,0.3446327683615819,0.3588235294117647,177.0,163,177 +Stand to sit,1.0,0.5248868778280543,0.6884272997032641,221.0,116,221 +Sitting,0.996039603960396,0.7621212121212121,0.863519313304721,660.0,505,660 +Stair up,0.9384615384615385,0.976,0.9568627450980393,125.0,130,125 +Stair down,1.0,0.8152173913043478,0.8982035928143712,92.0,75,92 +Ramp up,1.0,0.7909604519774012,0.8832807570977917,177.0,140,177 +Ramp down,0.9952380952380953,0.885593220338983,0.9372197309417041,236.0,210,236 +Grass walking,1.0,0.9152542372881356,0.9557522123893806,177.0,162,177 +Uneven ground walking,0.9874213836477987,0.9515151515151515,0.9691358024691358,165.0,159,165 +Carry,0.957983193277311,0.8296943231441049,0.8892355694227769,687.0,595,687 +accuracy,0.8601490574309514,0.8601490574309514,0.8601490574309514,0.8601490574309514,0,0 +macro avg,0.9121374712719699,0.7978512217051836,0.8428952578081766,4562.0,0,0 +weighted avg,0.8791314743841476,0.8601490574309514,0.8577452853292804,4562.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..b8f7212dbbe9257edfeb0e154a89f4a33151e34e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.42913385826771655,0.8790322580645161,0.5767195767195767,124.0,254,124 +Sit to stand,0.36585365853658536,0.26785714285714285,0.30927835051546393,56.0,41,56 +Stand to sit,0.9,0.16363636363636364,0.27692307692307694,55.0,10,55 +Sitting,0.7222222222222222,0.2765957446808511,0.4,47.0,18,47 +Stair up,0.5833333333333334,0.5833333333333334,0.5833333333333334,12.0,12,12 +Stair down,0.8333333333333334,0.5555555555555556,0.6666666666666666,9.0,6,9 +Ramp up,0.8,0.4,0.5333333333333333,10.0,5,10 +Ramp down,0.6,0.5,0.5454545454545454,12.0,10,12 +Grass walking,0.0,0.0,0.0,11.0,0,11 +Uneven ground walking,0.625,0.5,0.5555555555555556,10.0,8,10 +Carry,1.0,0.1,0.18181818181818182,20.0,2,20 +accuracy,0.4781420765027322,0.4781420765027322,0.4781420765027322,0.4781420765027322,0,0 +macro avg,0.623534218699381,0.3841827634661602,0.4208256927563394,366.0,0,0 +weighted avg,0.5822263599663663,0.4781420765027322,0.4287822170589338,366.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..59a486ccb126777852b958284981369bc32de96c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1938,0,2,0,4,0,0,6,1,1,21 +Sit to stand,199,26,2,1,0,0,0,0,0,0,0 +Stand to sit,140,9,62,63,0,0,0,0,0,0,0 +Sitting,210,226,1,275,0,0,0,0,0,0,0 +Stair up,4,0,0,0,131,0,0,2,0,0,0 +Stair down,29,0,0,0,0,75,0,0,0,0,0 +Ramp up,49,0,0,0,0,0,139,0,0,0,0 +Ramp down,33,0,0,0,0,0,0,215,0,0,0 +Grass walking,32,0,0,0,0,0,0,0,154,1,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,156,0 +Carry,146,0,0,0,0,0,0,0,0,0,559 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..80e549c8053dc5b5489e61de70b7742b4e7c21fd --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1818,0,2,0,2,0,0,3,0,0,20 +Sit to stand,153,18,1,1,0,0,0,0,0,0,0 +Stand to sit,94,8,59,57,0,0,0,0,0,0,0 +Sitting,173,221,1,270,0,0,0,0,0,0,0 +Stair up,1,0,0,0,124,0,0,0,0,0,0 +Stair down,19,0,0,0,0,75,0,0,0,0,0 +Ramp up,40,0,0,0,0,0,137,0,0,0,0 +Ramp down,22,0,0,0,0,0,0,214,0,0,0 +Grass walking,23,0,0,0,0,0,0,0,152,1,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,155,0 +Carry,126,0,0,0,0,0,0,0,0,0,557 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..13927e430cfff575b750134cbc4a1e7bf2328671 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,120,0,0,0,2,0,0,3,1,1,1 +Sit to stand,46,8,1,0,0,0,0,0,0,0,0 +Stand to sit,46,1,3,6,0,0,0,0,0,0,0 +Sitting,37,5,0,5,0,0,0,0,0,0,0 +Stair up,3,0,0,0,7,0,0,2,0,0,0 +Stair down,10,0,0,0,0,0,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,2,0,0,0,0 +Ramp down,11,0,0,0,0,0,0,1,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,2,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,1,0 +Carry,20,0,0,0,0,0,0,0,0,0,2 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5641dc11af3d3131a60df57ef5d5c25765a9c110 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6931330472103004,0.9822605169792195,0.8127490039840638,1973.0,2796,1973 +Sit to stand,0.09961685823754789,0.11403508771929824,0.10633946830265849,228.0,261,228 +Stand to sit,0.9253731343283582,0.22627737226277372,0.36363636363636365,274.0,67,274 +Sitting,0.8112094395280236,0.3862359550561798,0.5233111322549953,712.0,339,712 +Stair up,0.9703703703703703,0.9562043795620438,0.9632352941176471,137.0,135,137 +Stair down,1.0,0.7211538461538461,0.8379888268156425,104.0,75,104 +Ramp up,1.0,0.7393617021276596,0.8501529051987767,188.0,139,188 +Ramp down,0.9641255605381166,0.8669354838709677,0.9129511677282378,248.0,223,248 +Grass walking,0.9935483870967742,0.8235294117647058,0.9005847953216374,187.0,155,187 +Uneven ground walking,0.9873417721518988,0.9069767441860465,0.9454545454545454,172.0,158,172 +Carry,0.9637931034482758,0.7929078014184398,0.8700389105058366,705.0,580,705 +accuracy,0.7568993506493507,0.7568993506493507,0.7568993506493507,0.7568993506493507,0,0 +macro avg,0.8553192429917879,0.6832616637364709,0.735131128483673,4928.0,0,0 +weighted avg,0.7955624708718462,0.7568993506493507,0.7406235294120017,4928.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..f1c884a347cad4cffbeef439b168a0012cac0e76 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7342487883683361,0.9853658536585366,0.84147188150891,1845.0,2476,1845 +Sit to stand,0.0728744939271255,0.10404624277456648,0.08571428571428572,173.0,247,173 +Stand to sit,0.9365079365079365,0.2706422018348624,0.4199288256227758,218.0,63,218 +Sitting,0.823170731707317,0.40601503759398494,0.5438066465256798,665.0,328,665 +Stair up,0.9841269841269841,0.992,0.9880478087649402,125.0,126,125 +Stair down,1.0,0.7978723404255319,0.8875739644970414,94.0,75,94 +Ramp up,1.0,0.7740112994350282,0.8726114649681529,177.0,137,177 +Ramp down,0.9861751152073732,0.9067796610169492,0.9448123620309051,236.0,217,236 +Grass walking,1.0,0.8636363636363636,0.926829268292683,176.0,152,176 +Uneven ground walking,0.9935897435897436,0.9567901234567902,0.9748427672955975,162.0,156,162 +Carry,0.9653379549393414,0.8155197657393851,0.8841269841269841,683.0,577,683 +accuracy,0.7859025032938076,0.7859025032938076,0.7859025032938076,0.7859025032938076,0,0 +macro avg,0.8632756134885597,0.7156980808701817,0.760887841758905,4554.0,0,0 +weighted avg,0.821674161313788,0.7859025032938076,0.7750968778908602,4554.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5ba38a8d3dec864b1d5904fa74a4314af1380ffe --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject05/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.375,0.9375,0.5357142857142857,128.0,320,128 +Sit to stand,0.5714285714285714,0.14545454545454545,0.2318840579710145,55.0,14,55 +Stand to sit,0.75,0.05357142857142857,0.1,56.0,4,56 +Sitting,0.45454545454545453,0.10638297872340426,0.1724137931034483,47.0,11,47 +Stair up,0.7777777777777778,0.5833333333333334,0.6666666666666666,12.0,9,12 +Stair down,0.0,0.0,0.0,10.0,0,10 +Ramp up,1.0,0.18181818181818182,0.3076923076923077,11.0,2,11 +Ramp down,0.16666666666666666,0.08333333333333333,0.1111111111111111,12.0,6,12 +Grass walking,0.6666666666666666,0.18181818181818182,0.2857142857142857,11.0,3,11 +Uneven ground walking,0.5,0.1,0.16666666666666666,10.0,2,10 +Carry,0.6666666666666666,0.09090909090909091,0.16,22.0,3,22 +accuracy,0.4037433155080214,0.4037433155080214,0.4037433155080214,0.4037433155080214,0,0 +macro avg,0.5389774367047095,0.2240110067237727,0.24889665223998056,374.0,0,0 +weighted avg,0.5137046554158854,0.4037433155080214,0.31036356300312556,374.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e7c61944a65adb73d2997fb45e64df4cd4a48856 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1213,0,2,0,1,5,1,3,3,4,8 +Sit to stand,81,91,0,3,0,0,0,0,0,0,0 +Stand to sit,102,7,63,26,0,0,0,0,0,0,0 +Sitting,13,23,1,180,0,0,0,0,0,0,0 +Stair up,76,0,0,0,81,0,0,0,0,0,0 +Stair down,14,0,0,0,0,82,0,0,0,0,0 +Ramp up,27,0,0,0,0,0,134,0,0,0,0 +Ramp down,10,0,0,0,0,0,0,188,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,167,0,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,149,0 +Carry,104,0,0,0,0,0,0,0,0,0,590 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..64bb15c687440c06c9737af114bfd80ff5ddfb10 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1107,0,0,0,0,2,1,1,0,0,3 +Sit to stand,51,66,0,1,0,0,0,0,0,0,0 +Stand to sit,75,2,57,8,0,0,0,0,0,0,0 +Sitting,12,7,0,157,0,0,0,0,0,0,0 +Stair up,67,0,0,0,78,0,0,0,0,0,0 +Stair down,8,0,0,0,0,78,0,0,0,0,0 +Ramp up,19,0,0,0,0,0,132,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,182,0,0,0 +Grass walking,13,0,0,0,0,0,0,0,162,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,144,0 +Carry,87,0,0,0,0,0,0,0,0,0,583 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..74efe4cea6c2a0b609604a10f7fb0cade157d717 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,106,0,2,0,1,3,0,2,3,4,5 +Sit to stand,30,25,0,2,0,0,0,0,0,0,0 +Stand to sit,27,5,6,18,0,0,0,0,0,0,0 +Sitting,1,16,1,23,0,0,0,0,0,0,0 +Stair up,9,0,0,0,3,0,0,0,0,0,0 +Stair down,6,0,0,0,0,4,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,2,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,5,0 +Carry,17,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3bc2420faff921ea8d79a28618bf2d50d52b3455 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7237470167064439,0.978225806451613,0.8319615912208504,1240.0,1676,1240 +Sit to stand,0.7520661157024794,0.52,0.6148648648648649,175.0,121,175 +Stand to sit,0.9545454545454546,0.3181818181818182,0.4772727272727273,198.0,66,198 +Sitting,0.861244019138756,0.8294930875576036,0.8450704225352113,217.0,209,217 +Stair up,0.9878048780487805,0.5159235668789809,0.6778242677824268,157.0,82,157 +Stair down,0.9425287356321839,0.8541666666666666,0.8961748633879781,96.0,87,96 +Ramp up,0.9925925925925926,0.8322981366459627,0.9054054054054054,161.0,135,161 +Ramp down,0.9842931937172775,0.9494949494949495,0.9665809768637532,198.0,191,198 +Grass walking,0.9823529411764705,0.893048128342246,0.9355742296918768,187.0,170,187 +Uneven ground walking,0.9738562091503268,0.9030303030303031,0.9371069182389937,165.0,153,165 +Carry,0.9866220735785953,0.8501440922190202,0.913312693498452,694.0,598,694 +accuracy,0.8423165137614679,0.8423165137614679,0.8423165137614679,0.8423165137614679,0,0 +macro avg,0.9219684754535784,0.7676369595881056,0.8182862691602311,3488.0,0,0 +weighted avg,0.8699298741193119,0.8423165137614679,0.8343269892550079,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d0c35ff9dd6ba50ca00c1fd02871aaf2bde14214 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.762396694214876,0.9937163375224417,0.8628215120810601,1114.0,1452,1114 +Sit to stand,0.88,0.559322033898305,0.6839378238341969,118.0,75,118 +Stand to sit,1.0,0.4014084507042254,0.5728643216080402,142.0,57,142 +Sitting,0.9457831325301205,0.8920454545454546,0.9181286549707602,176.0,166,176 +Stair up,1.0,0.5379310344827586,0.6995515695067265,145.0,78,145 +Stair down,0.975,0.9069767441860465,0.9397590361445783,86.0,80,86 +Ramp up,0.9924812030075187,0.8741721854304636,0.9295774647887324,151.0,133,151 +Ramp down,0.994535519125683,0.978494623655914,0.986449864498645,186.0,183,186 +Grass walking,1.0,0.9257142857142857,0.9614243323442137,175.0,162,175 +Uneven ground walking,1.0,0.9411764705882353,0.9696969696969697,153.0,144,153 +Carry,0.9948805460750854,0.8701492537313433,0.928343949044586,670.0,586,670 +accuracy,0.8812580231065469,0.8812580231065469,0.8812580231065469,0.8812580231065469,0,0 +macro avg,0.9586433722684803,0.8073733522235884,0.8593232271380461,3116.0,0,0 +weighted avg,0.9049666183448307,0.8812580231065469,0.8759719742183677,3116.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..3aff9903070f9c1c118b2574cdd44ce58aaf6f7c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4732142857142857,0.8412698412698413,0.6057142857142858,126.0,224,126 +Sit to stand,0.5434782608695652,0.43859649122807015,0.4854368932038835,57.0,46,57 +Stand to sit,0.6666666666666666,0.10714285714285714,0.18461538461538463,56.0,9,56 +Sitting,0.5348837209302325,0.5609756097560976,0.5476190476190477,41.0,43,41 +Stair up,0.75,0.25,0.375,12.0,4,12 +Stair down,0.5714285714285714,0.4,0.47058823529411764,10.0,7,10 +Ramp up,1.0,0.2,0.3333333333333333,10.0,2,10 +Ramp down,0.75,0.5,0.6,12.0,8,12 +Grass walking,0.625,0.4166666666666667,0.5,12.0,8,12 +Uneven ground walking,0.5555555555555556,0.4166666666666667,0.47619047619047616,12.0,9,12 +Carry,0.5833333333333334,0.2916666666666667,0.3888888888888889,24.0,12,24 +accuracy,0.5161290322580645,0.5161290322580645,0.5161290322580645,0.5161290322580645,0,0 +macro avg,0.6412327631362009,0.402089527217897,0.45158059498721975,372.0,0,0 +weighted avg,0.5692144600591141,0.5161290322580645,0.47733220467031573,372.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..aa08e2df29ead31cede6683180ebafc8e3a608fd --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1223,0,0,0,1,4,1,1,2,2,8 +Sit to stand,86,87,0,5,0,0,0,0,0,0,0 +Stand to sit,98,5,76,11,0,0,0,0,0,0,0 +Sitting,15,21,1,186,0,0,0,0,0,0,0 +Stair up,68,0,0,0,87,0,0,0,0,0,0 +Stair down,15,0,0,0,0,80,0,0,0,0,0 +Ramp up,27,0,0,0,0,0,135,0,0,0,0 +Ramp down,12,0,0,0,0,0,0,189,0,0,0 +Grass walking,18,0,0,0,0,0,0,0,167,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,147,0 +Carry,104,0,0,0,0,0,0,0,0,0,587 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d077d501a6cd2a2eee59b5ee9cc1a5a7f5ea8e5d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1110,0,0,0,0,1,0,0,0,0,4 +Sit to stand,53,65,0,2,0,0,0,0,0,0,0 +Stand to sit,67,1,65,2,0,0,0,0,0,0,0 +Sitting,13,4,0,160,0,0,0,0,0,0,0 +Stair up,59,0,0,0,84,0,0,0,0,0,0 +Stair down,9,0,0,0,0,76,0,0,0,0,0 +Ramp up,18,0,0,0,0,0,134,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,185,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,162,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,142,0 +Carry,86,0,0,0,0,0,0,0,0,0,580 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..36fa95adaab27642cb49f764397d4c43638b4d8a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,113,0,0,0,1,3,1,1,2,2,4 +Sit to stand,33,22,0,3,0,0,0,0,0,0,0 +Stand to sit,31,4,11,9,0,0,0,0,0,0,0 +Sitting,2,17,1,26,0,0,0,0,0,0,0 +Stair up,9,0,0,0,3,0,0,0,0,0,0 +Stair down,6,0,0,0,0,4,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,1,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,4,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,5,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,5,0 +Carry,18,0,0,0,0,0,0,0,0,0,7 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8406b105eed58b1074d7669307c119ffc116fa1 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7258160237388724,0.9847020933977456,0.83566791937137,1242.0,1685,1242 +Sit to stand,0.7699115044247787,0.4887640449438202,0.5979381443298969,178.0,113,178 +Stand to sit,0.987012987012987,0.4,0.5692883895131086,190.0,77,190 +Sitting,0.9207920792079208,0.8340807174887892,0.8752941176470588,223.0,202,223 +Stair up,0.9886363636363636,0.5612903225806452,0.7160493827160493,155.0,88,155 +Stair down,0.9523809523809523,0.8421052631578947,0.8938547486033519,95.0,84,95 +Ramp up,0.9926470588235294,0.8333333333333334,0.9060402684563759,162.0,136,162 +Ramp down,0.9947368421052631,0.9402985074626866,0.9667519181585678,201.0,190,201 +Grass walking,0.9881656804733728,0.9027027027027027,0.943502824858757,185.0,169,185 +Uneven ground walking,0.9865771812080537,0.8855421686746988,0.9333333333333333,166.0,149,166 +Carry,0.9865546218487395,0.849493487698987,0.9129082426127527,691.0,595,691 +accuracy,0.8497706422018348,0.8497706422018348,0.8497706422018348,0.8497706422018348,0,0 +macro avg,0.935748299532803,0.7747556946764821,0.8318753899636928,3488.0,0,0 +weighted avg,0.878478874072566,0.8497706422018348,0.844320067043714,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0b3370d4b37d82413ff67f0ff93d5c945aff7477 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7697642163661581,0.9955156950672646,0.8682049276495893,1115.0,1442,1115 +Sit to stand,0.9285714285714286,0.5416666666666666,0.6842105263157895,120.0,70,120 +Stand to sit,1.0,0.48148148148148145,0.65,135.0,65,135 +Sitting,0.975609756097561,0.903954802259887,0.9384164222873901,177.0,164,177 +Stair up,1.0,0.5874125874125874,0.7400881057268722,143.0,84,143 +Stair down,0.987012987012987,0.8941176470588236,0.9382716049382716,85.0,77,85 +Ramp up,1.0,0.881578947368421,0.9370629370629371,152.0,134,152 +Ramp down,1.0,0.9788359788359788,0.9893048128342246,189.0,185,189 +Grass walking,1.0,0.9364161849710982,0.9671641791044776,173.0,162,173 +Uneven ground walking,1.0,0.922077922077922,0.9594594594594594,154.0,142,154 +Carry,0.9931506849315068,0.8708708708708709,0.928,666.0,584,666 +accuracy,0.8887101962045674,0.8887101962045674,0.8887101962045674,0.8887101962045674,0,0 +macro avg,0.9685553702708766,0.8176298894610002,0.8727439068526374,3109.0,0,0 +weighted avg,0.9114612607161767,0.8887101962045674,0.8852124430916105,3109.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2d14c4ea2ae628c069c439db421e103759310d6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.46502057613168724,0.889763779527559,0.6108108108108108,127.0,243,127 +Sit to stand,0.5116279069767442,0.3793103448275862,0.43564356435643564,58.0,43,58 +Stand to sit,0.9166666666666666,0.2,0.3283582089552239,55.0,12,55 +Sitting,0.6842105263157895,0.5652173913043478,0.6190476190476191,46.0,38,46 +Stair up,0.75,0.25,0.375,12.0,4,12 +Stair down,0.5714285714285714,0.4,0.47058823529411764,10.0,7,10 +Ramp up,0.5,0.1,0.16666666666666666,10.0,2,10 +Ramp down,0.8,0.3333333333333333,0.47058823529411764,12.0,5,12 +Grass walking,0.7142857142857143,0.4166666666666667,0.5263157894736842,12.0,7,12 +Uneven ground walking,0.7142857142857143,0.4166666666666667,0.5263157894736842,12.0,7,12 +Carry,0.6363636363636364,0.28,0.3888888888888889,25.0,11,25 +accuracy,0.5303430079155673,0.5303430079155673,0.5303430079155673,0.5303430079155673,0,0 +macro avg,0.6603535738595023,0.3846325620296509,0.4471112552964772,379.0,0,0 +weighted avg,0.6147456897540956,0.5303430079155673,0.4967007933696622,379.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..11f3ec1b8da746cb862823fa28600bbcfc8f5a52 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1224,0,4,0,1,3,1,1,1,1,4 +Sit to stand,87,83,0,7,0,0,0,0,0,0,0 +Stand to sit,102,7,81,8,0,0,0,0,0,0,0 +Sitting,21,21,1,174,0,0,0,0,0,0,0 +Stair up,67,0,0,0,87,0,0,0,0,0,0 +Stair down,15,0,0,0,0,80,0,0,0,0,0 +Ramp up,29,0,0,0,0,0,132,0,0,0,0 +Ramp down,10,0,0,0,0,0,0,189,0,0,0 +Grass walking,19,0,0,0,0,0,0,0,169,0,0 +Uneven ground walking,25,0,0,0,0,0,0,0,0,141,0 +Carry,102,0,0,0,0,0,0,0,0,0,591 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..daa0a0ab9fc02b650a1fd19121af47cf1fc3fe4a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1111,0,1,0,0,0,0,0,0,0,2 +Sit to stand,53,63,0,3,0,0,0,0,0,0,0 +Stand to sit,67,1,72,2,0,0,0,0,0,0,0 +Sitting,17,8,0,151,0,0,0,0,0,0,0 +Stair up,57,0,0,0,85,0,0,0,0,0,0 +Stair down,8,0,0,0,0,76,0,0,0,0,0 +Ramp up,20,0,0,0,0,0,131,0,0,0,0 +Ramp down,4,0,0,0,0,0,0,184,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,166,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,137,0 +Carry,84,0,0,0,0,0,0,0,0,0,586 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..760826c720fb0deb55f0f83dba77e9e2acf5f68f --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,113,0,3,0,1,3,1,1,1,1,2 +Sit to stand,34,20,0,4,0,0,0,0,0,0,0 +Stand to sit,35,6,9,6,0,0,0,0,0,0,0 +Sitting,4,13,1,23,0,0,0,0,0,0,0 +Stair up,10,0,0,0,2,0,0,0,0,0,0 +Stair down,7,0,0,0,0,4,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,1,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,5,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,3,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,4,0 +Carry,18,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..84b5fb7408b4ae5ae004d7d51b65a1cb401e7ae2 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7195767195767195,0.9870967741935484,0.8323699421965318,1240.0,1701,1240 +Sit to stand,0.7477477477477478,0.4689265536723164,0.5763888888888888,177.0,111,177 +Stand to sit,0.9418604651162791,0.4090909090909091,0.5704225352112676,198.0,86,198 +Sitting,0.9206349206349206,0.8018433179723502,0.8571428571428571,217.0,189,217 +Stair up,0.9886363636363636,0.564935064935065,0.71900826446281,154.0,88,154 +Stair down,0.963855421686747,0.8421052631578947,0.898876404494382,95.0,83,95 +Ramp up,0.9924812030075187,0.8198757763975155,0.8979591836734694,161.0,133,161 +Ramp down,0.9947368421052631,0.949748743718593,0.9717223650385605,199.0,190,199 +Grass walking,0.9941176470588236,0.898936170212766,0.9441340782122905,188.0,170,188 +Uneven ground walking,0.9929577464788732,0.8493975903614458,0.9155844155844156,166.0,142,166 +Carry,0.9932773109243698,0.8528138528138528,0.9177018633540373,693.0,595,693 +accuracy,0.8460435779816514,0.8460435779816514,0.8460435779816514,0.8460435779816514,0,0 +macro avg,0.9318074898157842,0.7677063651387506,0.8273918907508647,3488.0,0,0 +weighted avg,0.8751483038571742,0.8460435779816514,0.8407739521194025,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3a1146501da3c8a7c2838f71ebdd925adfd3e045 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7672651933701657,0.9973070017953322,0.8672911787665886,1114.0,1448,1114 +Sit to stand,0.875,0.5294117647058824,0.6596858638743456,119.0,72,119 +Stand to sit,0.9863013698630136,0.5070422535211268,0.6697674418604651,142.0,73,142 +Sitting,0.967948717948718,0.8579545454545454,0.9096385542168675,176.0,156,176 +Stair up,1.0,0.5985915492957746,0.748898678414097,142.0,85,142 +Stair down,1.0,0.9047619047619048,0.95,84.0,76,84 +Ramp up,1.0,0.8675496688741722,0.9290780141843972,151.0,131,151 +Ramp down,1.0,0.9787234042553191,0.989247311827957,188.0,184,188 +Grass walking,1.0,0.9431818181818182,0.9707602339181286,176.0,166,176 +Uneven ground walking,1.0,0.8896103896103896,0.9415807560137457,154.0,137,154 +Carry,0.9965986394557823,0.8746268656716418,0.931637519872814,670.0,588,670 +accuracy,0.886392811296534,0.886392811296534,0.886392811296534,0.886392811296534,0,0 +macro avg,0.9630103564216074,0.8135237423752643,0.8697805048135824,3116.0,0,0 +weighted avg,0.9088553538925741,0.886392811296534,0.8832912760732272,3116.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..057964f6c3e809573616eb0b222f6f61fc4cd7a4 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.44664031620553357,0.8968253968253969,0.5963060686015831,126.0,253,126 +Sit to stand,0.5128205128205128,0.3448275862068966,0.41237113402061853,58.0,39,58 +Stand to sit,0.6923076923076923,0.16071428571428573,0.2608695652173913,56.0,13,56 +Sitting,0.696969696969697,0.5609756097560976,0.6216216216216216,41.0,33,41 +Stair up,0.6666666666666666,0.16666666666666666,0.26666666666666666,12.0,3,12 +Stair down,0.5714285714285714,0.36363636363636365,0.4444444444444444,11.0,7,11 +Ramp up,0.5,0.1,0.16666666666666666,10.0,2,10 +Ramp down,0.8333333333333334,0.45454545454545453,0.5882352941176471,11.0,6,11 +Grass walking,0.75,0.25,0.375,12.0,4,12 +Uneven ground walking,0.8,0.3333333333333333,0.47058823529411764,12.0,5,12 +Carry,0.7142857142857143,0.21739130434782608,0.3333333333333333,23.0,7,23 +accuracy,0.5080645161290323,0.5080645161290323,0.5080645161290323,0.5080645161290323,0,0 +macro avg,0.6531320458197929,0.34990145463930195,0.41237300272582633,372.0,0,0 +weighted avg,0.5829199201920099,0.5080645161290323,0.4655568328943589,372.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..07791a9dbe8ff45c8056e5492379692bc3921a5c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1230,0,2,0,0,2,0,1,0,0,4 +Sit to stand,82,85,0,10,0,0,0,0,0,0,0 +Stand to sit,97,3,91,5,0,0,0,0,0,0,0 +Sitting,30,20,2,165,0,0,0,0,0,0,0 +Stair up,68,0,0,0,89,0,0,0,0,0,0 +Stair down,13,0,0,0,0,82,0,0,0,0,0 +Ramp up,31,0,0,0,0,0,132,0,0,0,0 +Ramp down,13,0,0,0,0,0,0,187,0,0,0 +Grass walking,17,0,0,0,0,0,0,0,169,0,0 +Uneven ground walking,25,0,0,0,0,0,0,0,0,141,0 +Carry,102,0,0,0,0,0,0,0,0,0,590 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..212ad6a7a0e98b328b92c8df1d51dc09ce6b63d8 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1112,0,0,0,0,0,0,0,0,0,2 +Sit to stand,52,66,0,4,0,0,0,0,0,0,0 +Stand to sit,60,0,78,1,0,0,0,0,0,0,0 +Sitting,19,6,1,149,0,0,0,0,0,0,0 +Stair up,58,0,0,0,87,0,0,0,0,0,0 +Stair down,7,0,0,0,0,78,0,0,0,0,0 +Ramp up,22,0,0,0,0,0,131,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,183,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,165,0,0 +Uneven ground walking,16,0,0,0,0,0,0,0,0,139,0 +Carry,85,0,0,0,0,0,0,0,0,0,585 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..687e6d67a20efb1fc2515a62f99317ebfa8bff85 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,118,0,2,0,0,2,0,1,0,0,2 +Sit to stand,30,19,0,6,0,0,0,0,0,0,0 +Stand to sit,37,3,13,4,0,0,0,0,0,0,0 +Sitting,11,14,1,16,0,0,0,0,0,0,0 +Stair up,10,0,0,0,2,0,0,0,0,0,0 +Stair down,6,0,0,0,0,4,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,1,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,4,0,0,0 +Grass walking,8,0,0,0,0,0,0,0,4,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,2,0 +Carry,17,0,0,0,0,0,0,0,0,0,5 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..bb8506c1df456f4fc45f482cf9d83bd85905b311 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7201405152224825,0.9927360774818402,0.8347472005429251,1239.0,1708,1239 +Sit to stand,0.7870370370370371,0.480225988700565,0.5964912280701754,177.0,108,177 +Stand to sit,0.9578947368421052,0.4642857142857143,0.6254295532646048,196.0,95,196 +Sitting,0.9166666666666666,0.7603686635944701,0.8312342569269522,217.0,180,217 +Stair up,1.0,0.5668789808917197,0.7235772357723578,157.0,89,157 +Stair down,0.9761904761904762,0.8631578947368421,0.9162011173184358,95.0,84,95 +Ramp up,1.0,0.8098159509202454,0.8949152542372881,163.0,132,163 +Ramp down,0.9946808510638298,0.935,0.9639175257731959,200.0,188,200 +Grass walking,1.0,0.9086021505376344,0.952112676056338,186.0,169,186 +Uneven ground walking,1.0,0.8493975903614458,0.9185667752442996,166.0,141,166 +Carry,0.9932659932659933,0.8526011560693642,0.9175738724727839,692.0,594,692 +accuracy,0.8489105504587156,0.8489105504587156,0.8489105504587156,0.8489105504587156,0,0 +macro avg,0.9405342069353264,0.7711881970527128,0.8340696996072143,3488.0,0,0 +weighted avg,0.8799420934044895,0.8489105504587156,0.8447890885834702,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..1455b4612bb1606ce5675ca560dfe7ba20e7d6c6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7695501730103806,0.9982046678635548,0.8690894880812817,1114.0,1445,1114 +Sit to stand,0.9166666666666666,0.5409836065573771,0.6804123711340206,122.0,72,122 +Stand to sit,0.9873417721518988,0.5611510791366906,0.7155963302752294,139.0,79,139 +Sitting,0.9675324675324676,0.8514285714285714,0.9057750759878419,175.0,154,175 +Stair up,1.0,0.6,0.75,145.0,87,145 +Stair down,1.0,0.9176470588235294,0.9570552147239264,85.0,78,85 +Ramp up,1.0,0.8562091503267973,0.9225352112676056,153.0,131,153 +Ramp down,1.0,0.973404255319149,0.9865229110512129,188.0,183,188 +Grass walking,1.0,0.9482758620689655,0.9734513274336283,174.0,165,174 +Uneven ground walking,1.0,0.896774193548387,0.9455782312925171,155.0,139,155 +Carry,0.9965928449744463,0.8731343283582089,0.9307875894988067,670.0,587,670 +accuracy,0.8887820512820512,0.8887820512820512,0.8887820512820512,0.8887820512820512,0,0 +macro avg,0.9670621749396235,0.8197466157664756,0.8760730682496429,3120.0,0,0 +weighted avg,0.9113423462650871,0.8887820512820512,0.8863593771949118,3120.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a76146f00b9b8b903c97409498c19162e99c98fc --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.44866920152091255,0.944,0.6082474226804123,125.0,263,125 +Sit to stand,0.5277777777777778,0.34545454545454546,0.4175824175824176,55.0,36,55 +Stand to sit,0.8125,0.22807017543859648,0.3561643835616438,57.0,16,57 +Sitting,0.6153846153846154,0.38095238095238093,0.47058823529411764,42.0,26,42 +Stair up,1.0,0.16666666666666666,0.2857142857142857,12.0,2,12 +Stair down,0.6666666666666666,0.4,0.5,10.0,6,10 +Ramp up,1.0,0.1,0.18181818181818182,10.0,1,10 +Ramp down,0.8,0.3333333333333333,0.47058823529411764,12.0,5,12 +Grass walking,1.0,0.3333333333333333,0.5,12.0,4,12 +Uneven ground walking,1.0,0.18181818181818182,0.3076923076923077,11.0,2,11 +Carry,0.7142857142857143,0.22727272727272727,0.3448275862068966,22.0,7,22 +accuracy,0.5108695652173914,0.5108695652173914,0.5108695652173914,0.5108695652173914,0,0 +macro avg,0.7804803614214261,0.3309910312972514,0.4039293687131255,368.0,0,0 +weighted avg,0.636551723355973,0.5108695652173914,0.46719747526875244,368.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e34f6f1da05749536d76a64cbdc495ba22fb5ffe --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1236,0,1,0,0,1,0,1,0,0,3 +Sit to stand,94,67,0,14,0,0,0,0,0,0,0 +Stand to sit,100,0,97,1,0,0,0,0,0,0,0 +Sitting,43,27,4,141,0,0,0,0,0,0,0 +Stair up,66,0,0,0,91,0,0,0,0,0,0 +Stair down,14,0,0,0,0,82,0,0,0,0,0 +Ramp up,31,0,0,0,0,0,130,0,0,0,0 +Ramp down,13,0,0,0,0,0,0,185,0,0,0 +Grass walking,20,0,0,0,0,0,0,0,167,0,0 +Uneven ground walking,31,0,0,0,0,0,0,0,0,134,0 +Carry,106,0,0,0,0,0,0,0,0,0,588 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4ae3576f299e1f22ef572f389da2e76610532f83 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1116,0,0,0,0,0,0,0,0,0,0 +Sit to stand,59,52,0,7,0,0,0,0,0,0,0 +Stand to sit,60,0,82,0,0,0,0,0,0,0,0 +Sitting,24,23,1,126,0,0,0,0,0,0,0 +Stair up,54,0,0,0,91,0,0,0,0,0,0 +Stair down,6,0,0,0,0,80,0,0,0,0,0 +Ramp up,21,0,0,0,0,0,130,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,181,0,0,0 +Grass walking,11,0,0,0,0,0,0,0,164,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,134,0 +Carry,85,0,0,0,0,0,0,0,0,0,585 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..26cf9f5b6f7377f43319c4110907aa0c3c699ef0 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,120,0,1,0,0,1,0,1,0,0,3 +Sit to stand,35,15,0,7,0,0,0,0,0,0,0 +Stand to sit,40,0,15,1,0,0,0,0,0,0,0 +Sitting,19,4,3,15,0,0,0,0,0,0,0 +Stair up,12,0,0,0,0,0,0,0,0,0,0 +Stair down,8,0,0,0,0,2,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,0,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,4,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,3,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,0,0 +Carry,21,0,0,0,0,0,0,0,0,0,3 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..f38bafe4875396febdad7cdb7d60783fda8bf6dd --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7046750285062714,0.9951690821256038,0.8251001335113485,1242.0,1754,1242 +Sit to stand,0.7127659574468085,0.38285714285714284,0.49814126394052044,175.0,94,175 +Stand to sit,0.9509803921568627,0.4898989898989899,0.6466666666666666,198.0,102,198 +Sitting,0.9038461538461539,0.6558139534883721,0.7601078167115903,215.0,156,215 +Stair up,1.0,0.5796178343949044,0.7338709677419355,157.0,91,157 +Stair down,0.9879518072289156,0.8541666666666666,0.9162011173184358,96.0,83,96 +Ramp up,1.0,0.8074534161490683,0.8934707903780069,161.0,130,161 +Ramp down,0.9946236559139785,0.9343434343434344,0.9635416666666666,198.0,186,198 +Grass walking,1.0,0.893048128342246,0.943502824858757,187.0,167,187 +Uneven ground walking,1.0,0.8121212121212121,0.8963210702341137,165.0,134,165 +Carry,0.9949238578680203,0.8472622478386167,0.9151750972762646,694.0,591,694 +accuracy,0.8365825688073395,0.8365825688073395,0.8365825688073395,0.8365825688073395,0,0 +macro avg,0.9317969866333645,0.7501592825660233,0.8174635832094824,3488.0,0,0 +weighted avg,0.8700738197842064,0.8365825688073395,0.8316155064218849,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..23b58443734fd0c628a5864aa10cb76843aa656d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7643835616438356,1.0,0.8664596273291926,1116.0,1460,1116 +Sit to stand,0.6933333333333334,0.4406779661016949,0.538860103626943,118.0,75,118 +Stand to sit,0.9879518072289156,0.5774647887323944,0.7288888888888889,142.0,83,142 +Sitting,0.9473684210526315,0.7241379310344828,0.8208469055374593,174.0,133,174 +Stair up,1.0,0.6275862068965518,0.7711864406779662,145.0,91,145 +Stair down,1.0,0.9302325581395349,0.963855421686747,86.0,80,86 +Ramp up,1.0,0.8609271523178808,0.9252669039145908,151.0,130,151 +Ramp down,1.0,0.9731182795698925,0.9863760217983651,186.0,181,186 +Grass walking,1.0,0.9371428571428572,0.967551622418879,175.0,164,175 +Uneven ground walking,1.0,0.8758169934640523,0.9337979094076655,153.0,134,153 +Carry,1.0,0.8731343283582089,0.9322709163346613,670.0,585,670 +accuracy,0.8796534017971759,0.8796534017971759,0.8796534017971759,0.8796534017971759,0,0 +macro avg,0.9448215566598832,0.8018399147052317,0.8577600692383054,3116.0,0,0 +weighted avg,0.9005124037283433,0.8796534017971759,0.8766344643225169,3116.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..10c192edd7bdc5aed67dc7cf448e3b57512c7441 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.40816326530612246,0.9523809523809523,0.5714285714285714,126.0,294,126 +Sit to stand,0.7894736842105263,0.2631578947368421,0.39473684210526316,57.0,19,57 +Stand to sit,0.7894736842105263,0.26785714285714285,0.4,56.0,19,56 +Sitting,0.6521739130434783,0.36585365853658536,0.46875,41.0,23,41 +Stair up,0.0,0.0,0.0,12.0,0,12 +Stair down,0.6666666666666666,0.2,0.3076923076923077,10.0,3,10 +Ramp up,0.0,0.0,0.0,10.0,0,10 +Ramp down,0.8,0.3333333333333333,0.47058823529411764,12.0,5,12 +Grass walking,1.0,0.25,0.4,12.0,3,12 +Uneven ground walking,0.0,0.0,0.0,12.0,0,12 +Carry,0.5,0.125,0.2,24.0,6,24 +accuracy,0.47580645161290325,0.47580645161290325,0.47580645161290325,0.47580645161290325,0,0 +macro avg,0.5096319284943018,0.250689361985896,0.29210872332002363,372.0,0,0 +weighted avg,0.5581852011984144,0.47580645161290325,0.41516863414100136,372.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..b54eb72f8a02746a0d91dcefab5369ad56942c9c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1230,0,2,0,0,0,0,5,0,1,6 +Sit to stand,131,29,1,14,0,0,0,0,0,0,0 +Stand to sit,115,1,63,19,0,0,0,0,0,0,0 +Sitting,63,58,1,91,0,0,0,0,0,0,0 +Stair up,66,0,0,0,91,0,0,0,0,0,0 +Stair down,18,0,0,0,0,78,0,0,0,0,0 +Ramp up,30,0,0,0,0,0,131,0,0,0,0 +Ramp down,22,0,0,0,0,0,0,176,0,0,0 +Grass walking,25,0,0,0,0,0,0,0,160,2,0 +Uneven ground walking,35,0,0,0,0,0,0,0,0,130,0 +Carry,114,0,0,0,0,0,0,0,0,0,580 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2e4358a5e5f6d114aae853ba4197b1cf5596abe6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1115,0,1,0,0,0,0,1,0,0,1 +Sit to stand,87,23,0,8,0,0,0,0,0,0,0 +Stand to sit,70,1,60,11,0,0,0,0,0,0,0 +Sitting,41,54,0,77,0,0,0,0,0,0,0 +Stair up,54,0,0,0,91,0,0,0,0,0,0 +Stair down,10,0,0,0,0,76,0,0,0,0,0 +Ramp up,20,0,0,0,0,0,131,0,0,0,0 +Ramp down,16,0,0,0,0,0,0,170,0,0,0 +Grass walking,16,0,0,0,0,0,0,0,159,0,0 +Uneven ground walking,23,0,0,0,0,0,0,0,0,130,0 +Carry,99,0,0,0,0,0,0,0,0,0,571 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..df897ed7530df9af1372e688b09032a8c60798e5 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,115,0,1,0,0,0,0,4,0,1,5 +Sit to stand,44,6,1,6,0,0,0,0,0,0,0 +Stand to sit,45,0,3,8,0,0,0,0,0,0,0 +Sitting,22,4,1,14,0,0,0,0,0,0,0 +Stair up,12,0,0,0,0,0,0,0,0,0,0 +Stair down,8,0,0,0,0,2,0,0,0,0,0 +Ramp up,10,0,0,0,0,0,0,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,6,0,0,0 +Grass walking,9,0,0,0,0,0,0,0,1,2,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,0,0 +Carry,15,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..18edfe2f6c2febd20768d631ba7616d4dd28e571 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6652244456462953,0.9887459807073955,0.7953443258971872,1244.0,1849,1244 +Sit to stand,0.32954545454545453,0.1657142857142857,0.22053231939163498,175.0,88,175 +Stand to sit,0.9402985074626866,0.3181818181818182,0.47547169811320755,198.0,67,198 +Sitting,0.7338709677419355,0.4272300469483568,0.5400593471810089,213.0,124,213 +Stair up,1.0,0.5796178343949044,0.7338709677419355,157.0,91,157 +Stair down,1.0,0.8125,0.896551724137931,96.0,78,96 +Ramp up,1.0,0.8136645962732919,0.8972602739726028,161.0,131,161 +Ramp down,0.9723756906077348,0.8888888888888888,0.9287598944591029,198.0,181,198 +Grass walking,1.0,0.8556149732620321,0.9221902017291066,187.0,160,187 +Uneven ground walking,0.9774436090225563,0.7878787878787878,0.87248322147651,165.0,133,165 +Carry,0.9897610921501706,0.8357348703170029,0.90625,694.0,586,694 +accuracy,0.7909977064220184,0.7909977064220184,0.7909977064220184,0.7909977064220184,0,0 +macro avg,0.8735017970160758,0.6794338256878877,0.7444339976454752,3488.0,0,0 +weighted avg,0.8226508215932803,0.7909977064220184,0.7775700700739079,3488.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ae97748064ba297b18c12c288b33741ba9f23d8 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7188910380399742,0.9973166368515206,0.8355189209441738,1118.0,1551,1118 +Sit to stand,0.2948717948717949,0.19491525423728814,0.23469387755102042,118.0,78,118 +Stand to sit,0.9836065573770492,0.4225352112676056,0.5911330049261084,142.0,61,142 +Sitting,0.8020833333333334,0.4476744186046512,0.5746268656716418,172.0,96,172 +Stair up,1.0,0.6275862068965518,0.7711864406779662,145.0,91,145 +Stair down,1.0,0.8837209302325582,0.9382716049382716,86.0,76,86 +Ramp up,1.0,0.8675496688741722,0.9290780141843972,151.0,131,151 +Ramp down,0.9941520467836257,0.9139784946236559,0.9523809523809523,186.0,171,186 +Grass walking,1.0,0.9085714285714286,0.9520958083832335,175.0,159,175 +Uneven ground walking,1.0,0.8496732026143791,0.9187279151943463,153.0,130,153 +Carry,0.9982517482517482,0.8522388059701492,0.9194847020933977,670.0,572,670 +accuracy,0.8353658536585366,0.8353658536585366,0.8353658536585366,0.8353658536585366,0,0 +macro avg,0.8901687744234114,0.7241600235221781,0.7833816460859553,3116.0,0,0 +weighted avg,0.8600405869174785,0.8353658536585366,0.8272672194684568,3116.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec0e20aefafed17d169cf9770b7286dba719f405 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject08/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.3859060402684564,0.9126984126984127,0.5424528301886793,126.0,298,126 +Sit to stand,0.6,0.10526315789473684,0.1791044776119403,57.0,10,57 +Stand to sit,0.5,0.05357142857142857,0.0967741935483871,56.0,6,56 +Sitting,0.5,0.34146341463414637,0.4057971014492754,41.0,28,41 +Stair up,0.0,0.0,0.0,12.0,0,12 +Stair down,1.0,0.2,0.3333333333333333,10.0,2,10 +Ramp up,0.0,0.0,0.0,10.0,0,10 +Ramp down,0.6,0.5,0.5454545454545454,12.0,10,12 +Grass walking,1.0,0.08333333333333333,0.15384615384615385,12.0,1,12 +Uneven ground walking,0.0,0.0,0.0,12.0,3,12 +Carry,0.6428571428571429,0.375,0.47368421052631576,24.0,14,24 +accuracy,0.41935483870967744,0.41935483870967744,0.41935483870967744,0.41935483870967744,0,0 +macro avg,0.47534210755687273,0.23375724973927794,0.24822244054169368,372.0,0,0 +weighted avg,0.47299121640429287,0.41935483870967744,0.3325494908692404,372.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..427f4cf5a64de774bf06231af13000181121a53e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1217,0,11,0,18,17,10,12,7,5,4 +Sit to stand,100,119,0,1,0,0,0,0,0,0,0 +Stand to sit,49,0,130,20,0,0,0,0,0,0,0 +Sitting,30,35,2,247,0,0,0,0,0,0,0 +Stair up,52,0,0,0,113,0,0,2,0,0,0 +Stair down,18,0,0,0,0,128,0,0,0,0,0 +Ramp up,25,0,0,0,0,0,200,0,0,0,0 +Ramp down,14,0,0,0,0,0,0,195,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,18,0,0,0,0,0,0,0,0,200,0 +Carry,144,0,0,0,0,0,0,0,0,0,508 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4b440c75bee00de3005bfae9ab5f457b7b809b80 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1121,0,2,0,12,9,5,4,2,2,0 +Sit to stand,53,77,0,0,0,0,0,0,0,0,0 +Stand to sit,16,0,89,6,0,0,0,0,0,0,0 +Sitting,30,18,0,196,0,0,0,0,0,0,0 +Stair up,46,0,0,0,105,0,0,0,0,0,0 +Stair down,11,0,0,0,0,121,0,0,0,0,0 +Ramp up,17,0,0,0,0,0,194,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,187,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,192,0 +Carry,125,0,0,0,0,0,0,0,0,0,498 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..1bfdc2f81688c44a0577ba689106106fe7fb2465 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,96,0,9,0,6,8,5,8,5,3,4 +Sit to stand,47,42,0,1,0,0,0,0,0,0,0 +Stand to sit,33,0,41,14,0,0,0,0,0,0,0 +Sitting,0,17,2,51,0,0,0,0,0,0,0 +Stair up,6,0,0,0,8,0,0,2,0,0,0 +Stair down,7,0,0,0,0,7,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,6,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,8,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,7,0,0,0,0,0,0,0,0,8,0 +Carry,19,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..939fd91136105e72bfef1efac376fb6d7271fe0d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7274357441721458,0.93543428132206,0.8184263618022865,1301.0,1673,1301 +Sit to stand,0.7727272727272727,0.5409090909090909,0.6363636363636364,220.0,154,220 +Stand to sit,0.9090909090909091,0.6532663316582915,0.7602339181286549,199.0,143,199 +Sitting,0.9216417910447762,0.7866242038216561,0.8487972508591065,314.0,268,314 +Stair up,0.8625954198473282,0.6766467065868264,0.7583892617449665,167.0,131,167 +Stair down,0.8827586206896552,0.8767123287671232,0.8797250859106529,146.0,145,146 +Ramp up,0.9523809523809523,0.8888888888888888,0.9195402298850575,225.0,210,225 +Ramp down,0.9330143540669856,0.9330143540669856,0.9330143540669856,209.0,209,209 +Grass walking,0.9631578947368421,0.9682539682539683,0.9656992084432717,189.0,190,189 +Uneven ground walking,0.975609756097561,0.9174311926605505,0.9456264775413712,218.0,205,218 +Carry,0.9921875,0.7791411042944786,0.872852233676976,652.0,512,652 +accuracy,0.84375,0.84375,0.84375,0.84375,0,0 +macro avg,0.8993272922594936,0.8142111319299926,0.8489698198566333,3840.0,0,0 +weighted avg,0.8621214696407686,0.84375,0.8430553080775586,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..20d01637de0e4f67e688d849ae6d84b6d9bad40f --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7784722222222222,0.9688850475367329,0.863303812090874,1157.0,1440,1157 +Sit to stand,0.8105263157894737,0.5923076923076923,0.6844444444444444,130.0,95,130 +Stand to sit,0.978021978021978,0.8018018018018018,0.8811881188118812,111.0,91,111 +Sitting,0.9702970297029703,0.8032786885245902,0.8789237668161435,244.0,202,244 +Stair up,0.8974358974358975,0.695364238410596,0.7835820895522388,151.0,117,151 +Stair down,0.9307692307692308,0.9166666666666666,0.9236641221374046,132.0,130,132 +Ramp up,0.9748743718592965,0.919431279620853,0.9463414634146341,211.0,199,211 +Ramp down,0.9790575916230366,0.958974358974359,0.9689119170984456,195.0,191,195 +Grass walking,0.9885714285714285,0.9885714285714285,0.9885714285714285,175.0,175,175 +Uneven ground walking,0.9896907216494846,0.9458128078817734,0.9672544080604534,203.0,194,203 +Carry,1.0,0.7993579454253612,0.8884924174843889,623.0,498,623 +accuracy,0.8862545018007203,0.8862545018007203,0.8862545018007203,0.8862545018007203,0,0 +macro avg,0.9361560716040926,0.8536774505201687,0.8886070898620306,3332.0,0,0 +weighted avg,0.9013415351949925,0.8862545018007203,0.8859043883092539,3332.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6365b6e142c3fff489bf8096548fd8dc771e7c85 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.41201716738197425,0.6666666666666666,0.5092838196286472,144.0,233,144 +Sit to stand,0.711864406779661,0.4666666666666667,0.5637583892617449,90.0,59,90 +Stand to sit,0.7884615384615384,0.4659090909090909,0.5857142857142857,88.0,52,88 +Sitting,0.7727272727272727,0.7285714285714285,0.75,70.0,66,70 +Stair up,0.5714285714285714,0.5,0.5333333333333333,16.0,14,16 +Stair down,0.4666666666666667,0.5,0.4827586206896552,14.0,15,14 +Ramp up,0.5454545454545454,0.42857142857142855,0.48,14.0,11,14 +Ramp down,0.4444444444444444,0.5714285714285714,0.5,14.0,18,14 +Grass walking,0.6666666666666666,0.7142857142857143,0.6896551724137931,14.0,15,14 +Uneven ground walking,0.7272727272727273,0.5333333333333333,0.6153846153846154,15.0,11,15 +Carry,0.7142857142857143,0.3448275862068966,0.46511627906976744,29.0,14,29 +accuracy,0.5649606299212598,0.5649606299212598,0.5649606299212598,0.5649606299212598,0,0 +macro avg,0.6201172474154348,0.5382054987854361,0.5613640468632584,508.0,0,0 +weighted avg,0.6247348021263476,0.5649606299212598,0.5698902558336879,508.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..fd69e0b228249e4c3139abef9a9e2498cc7dbf6e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1238,0,3,0,18,15,8,8,11,2,4 +Sit to stand,96,111,0,3,0,0,0,0,0,0,0 +Stand to sit,47,0,134,14,0,0,0,0,0,0,0 +Sitting,37,30,7,247,0,0,0,0,0,0,0 +Stair up,49,0,0,0,115,0,0,0,0,0,0 +Stair down,18,0,0,0,0,126,0,0,0,0,0 +Ramp up,28,0,0,0,0,0,198,0,0,0,0 +Ramp down,12,0,0,0,0,0,0,198,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,182,0,0 +Uneven ground walking,22,0,0,0,0,0,0,0,0,200,0 +Carry,150,0,0,0,0,0,0,0,0,0,504 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..e3be7eeb2b1d2b168ddc8512b4e18d9c56c937cf --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1123,0,0,0,14,7,4,2,4,1,0 +Sit to stand,48,74,0,0,0,0,0,0,0,0,0 +Stand to sit,16,0,89,3,0,0,0,0,0,0,0 +Sitting,32,15,0,196,0,0,0,0,0,0,0 +Stair up,41,0,0,0,107,0,0,0,0,0,0 +Stair down,11,0,0,0,0,119,0,0,0,0,0 +Ramp up,19,0,0,0,0,0,193,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,188,0,0,0 +Grass walking,2,0,0,0,0,0,0,0,171,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,194,0 +Carry,128,0,0,0,0,0,0,0,0,0,495 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..d90c33ff197e065412c44aa6663a9c43e127209e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,115,0,3,0,4,8,4,6,7,1,4 +Sit to stand,48,37,0,3,0,0,0,0,0,0,0 +Stand to sit,31,0,45,11,0,0,0,0,0,0,0 +Sitting,5,15,7,51,0,0,0,0,0,0,0 +Stair up,8,0,0,0,8,0,0,0,0,0,0 +Stair down,7,0,0,0,0,7,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,5,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,10,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,11,0,0 +Uneven ground walking,8,0,0,0,0,0,0,0,0,6,0 +Carry,22,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..08b9bb5d502779c15433506ea00339822dbe2824 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.72737955346651,0.9472073450650345,0.8228647391159853,1307.0,1702,1307 +Sit to stand,0.7872340425531915,0.5285714285714286,0.6324786324786325,210.0,141,210 +Stand to sit,0.9305555555555556,0.6871794871794872,0.7905604719764012,195.0,144,195 +Sitting,0.9356060606060606,0.7694704049844237,0.8444444444444444,321.0,264,321 +Stair up,0.8646616541353384,0.7012195121951219,0.7744107744107744,164.0,133,164 +Stair down,0.8936170212765957,0.875,0.8842105263157894,144.0,141,144 +Ramp up,0.9611650485436893,0.8761061946902655,0.9166666666666666,226.0,206,226 +Ramp down,0.9611650485436893,0.9428571428571428,0.9519230769230769,210.0,206,210 +Grass walking,0.9430051813471503,0.9732620320855615,0.9578947368421052,187.0,193,187 +Uneven ground walking,0.9900990099009901,0.9009009009009009,0.9433962264150944,222.0,202,222 +Carry,0.9921259842519685,0.7706422018348624,0.8674698795180723,654.0,508,654 +accuracy,0.8471354166666667,0.8471354166666667,0.8471354166666667,0.8471354166666667,0,0 +macro avg,0.9078740145618855,0.8156742409422026,0.8533018341006403,3840.0,0,0 +weighted avg,0.8677968152142124,0.8471354166666667,0.8465667865674396,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..a24a2c05f20e2bbd0646cdcf70bf5f74f1545906 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7798611111111111,0.9722943722943723,0.8655105973025048,1155.0,1440,1155 +Sit to stand,0.8314606741573034,0.6065573770491803,0.7014218009478673,122.0,89,122 +Stand to sit,1.0,0.8240740740740741,0.9035532994923858,108.0,89,108 +Sitting,0.9849246231155779,0.8065843621399177,0.8868778280542986,243.0,199,243 +Stair up,0.8842975206611571,0.722972972972973,0.7955390334572491,148.0,121,148 +Stair down,0.9444444444444444,0.9153846153846154,0.9296875,130.0,126,130 +Ramp up,0.9796954314720813,0.910377358490566,0.9437652811735942,212.0,197,212 +Ramp down,0.9894736842105263,0.9690721649484536,0.9791666666666666,194.0,190,194 +Grass walking,0.9771428571428571,0.9884393063583815,0.9827586206896551,173.0,175,173 +Uneven ground walking,0.9948717948717949,0.9326923076923077,0.9627791563275434,208.0,195,208 +Carry,1.0,0.7945425361155698,0.8855098389982111,623.0,495,623 +accuracy,0.8893244873341375,0.8893244873341375,0.8893244873341375,0.8893244873341375,0,0 +macro avg,0.9423792855624412,0.858453767956401,0.8942336021009069,3316.0,0,0 +weighted avg,0.905247483010015,0.8893244873341375,0.8892994356596919,3316.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..6bcc11fbd7844322103575772f6da18c6c2aaeac --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.1s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4389312977099237,0.756578947368421,0.5555555555555556,152.0,262,152 +Sit to stand,0.7115384615384616,0.42045454545454547,0.5285714285714286,88.0,52,88 +Stand to sit,0.8181818181818182,0.5172413793103449,0.6338028169014085,87.0,55,87 +Sitting,0.7846153846153846,0.6538461538461539,0.7132867132867133,78.0,65,78 +Stair up,0.6666666666666666,0.5,0.5714285714285714,16.0,12,16 +Stair down,0.4666666666666667,0.5,0.4827586206896552,14.0,15,14 +Ramp up,0.5555555555555556,0.35714285714285715,0.43478260869565216,14.0,9,14 +Ramp down,0.625,0.625,0.625,16.0,16,16 +Grass walking,0.6111111111111112,0.7857142857142857,0.6875,14.0,18,14 +Uneven ground walking,0.8571428571428571,0.42857142857142855,0.5714285714285714,14.0,7,14 +Carry,0.6923076923076923,0.2903225806451613,0.4090909090909091,31.0,13,31 +accuracy,0.5801526717557252,0.5801526717557252,0.5801526717557252,0.5801526717557252,0,0 +macro avg,0.6570652283178308,0.5304429252775634,0.5648368905134968,524.0,0,0 +weighted avg,0.6463924271831736,0.5801526717557252,0.5802121973312709,524.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..245850f6b91512e349cbec98c6da9c9799c15c0d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1240,0,4,0,22,13,5,7,8,2,3 +Sit to stand,93,113,0,10,0,0,0,0,0,0,0 +Stand to sit,63,1,130,8,0,0,0,0,0,0,0 +Sitting,43,32,7,233,0,0,0,0,0,0,0 +Stair up,45,0,0,0,119,0,0,0,0,0,0 +Stair down,19,0,0,0,0,126,0,0,0,0,0 +Ramp up,24,0,0,0,0,0,201,0,0,0,0 +Ramp down,12,0,0,0,0,0,0,196,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,26,0,0,0,0,0,0,0,0,193,0 +Carry,151,0,0,0,0,0,0,0,0,0,503 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..d73528173e69c136e973a30ce5dd0981a8db53e4 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1133,0,1,0,15,7,2,1,1,1,2 +Sit to stand,45,82,0,0,0,0,0,0,0,0,0 +Stand to sit,28,0,84,2,0,0,0,0,0,0,0 +Sitting,38,15,0,190,0,0,0,0,0,0,0 +Stair up,37,0,0,0,112,0,0,0,0,0,0 +Stair down,12,0,0,0,0,119,0,0,0,0,0 +Ramp up,15,0,0,0,0,0,196,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,188,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,0,189,0 +Carry,128,0,0,0,0,0,0,0,0,0,494 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec0faa89023069cb76243eb8dbb2cc83bd9b1589 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,107,0,3,0,7,6,3,6,7,1,1 +Sit to stand,48,31,0,10,0,0,0,0,0,0,0 +Stand to sit,35,1,46,6,0,0,0,0,0,0,0 +Sitting,5,17,7,43,0,0,0,0,0,0,0 +Stair up,8,0,0,0,7,0,0,0,0,0,0 +Stair down,7,0,0,0,0,7,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,5,0,0,0,0 +Ramp down,7,0,0,0,0,0,0,8,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,4,0 +Carry,23,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..288a837961f170f9a8adca165980fbfaebb756db --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7205113306217316,0.950920245398773,0.8198347107438017,1304.0,1721,1304 +Sit to stand,0.773972602739726,0.5231481481481481,0.6243093922651933,216.0,146,216 +Stand to sit,0.9219858156028369,0.6435643564356436,0.7580174927113703,202.0,141,202 +Sitting,0.9282868525896414,0.7396825396825397,0.823321554770318,315.0,251,315 +Stair up,0.8439716312056738,0.725609756097561,0.780327868852459,164.0,141,164 +Stair down,0.9064748201438849,0.8689655172413793,0.8873239436619719,145.0,139,145 +Ramp up,0.9757281553398058,0.8933333333333333,0.9327146171693735,225.0,206,225 +Ramp down,0.9655172413793104,0.9423076923076923,0.9537712895377128,208.0,203,208 +Grass walking,0.9581151832460733,0.973404255319149,0.9656992084432717,188.0,191,188 +Uneven ground walking,0.9897435897435898,0.8812785388127854,0.9323671497584541,219.0,195,219 +Carry,0.9940711462450593,0.7691131498470948,0.8672413793103448,654.0,506,654 +accuracy,0.84296875,0.84296875,0.84296875,0.84296875,0,0 +macro avg,0.9071253062597576,0.810120684784009,0.8495389642931155,3840.0,0,0 +weighted avg,0.8652591141888938,0.84296875,0.842233800334034,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..20e84fb33dc3ce930bf052ea4a369fb25a98b19c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7770919067215364,0.9742046431642304,0.8645555131629149,1163.0,1458,1163 +Sit to stand,0.845360824742268,0.6456692913385826,0.7321428571428571,127.0,97,127 +Stand to sit,0.9882352941176471,0.7368421052631579,0.8442211055276382,114.0,85,114 +Sitting,0.9895833333333334,0.7818930041152263,0.8735632183908046,243.0,192,243 +Stair up,0.8818897637795275,0.7516778523489933,0.8115942028985508,149.0,127,149 +Stair down,0.9444444444444444,0.9083969465648855,0.9260700389105059,131.0,126,131 +Ramp up,0.98989898989899,0.9289099526066351,0.9584352078239609,211.0,198,211 +Ramp down,0.9947089947089947,0.9740932642487047,0.9842931937172775,193.0,189,193 +Grass walking,0.9942857142857143,1.0,0.997134670487106,174.0,175,174 +Uneven ground walking,0.9947368421052631,0.9174757281553398,0.9545454545454546,206.0,190,206 +Carry,0.9959677419354839,0.7942122186495176,0.8837209302325582,622.0,496,622 +accuracy,0.8883888388838884,0.8883888388838884,0.8883888388838884,0.8883888388838884,0,0 +macro avg,0.9451094409157457,0.8557613642232067,0.8936614902581481,3333.0,0,0 +weighted avg,0.9053798514566429,0.8883888388838884,0.8884580300743928,3333.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ab839ff2ed073a1faefe0fe0b4f6604421ec83e6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4068441064638783,0.7588652482269503,0.5297029702970297,141.0,263,141 +Sit to stand,0.6326530612244898,0.34831460674157305,0.4492753623188406,89.0,49,89 +Stand to sit,0.8214285714285714,0.5227272727272727,0.6388888888888888,88.0,56,88 +Sitting,0.7288135593220338,0.5972222222222222,0.6564885496183206,72.0,59,72 +Stair up,0.5,0.4666666666666667,0.4827586206896552,15.0,14,15 +Stair down,0.5384615384615384,0.5,0.5185185185185185,14.0,13,14 +Ramp up,0.625,0.35714285714285715,0.45454545454545453,14.0,8,14 +Ramp down,0.5714285714285714,0.5333333333333333,0.5517241379310345,15.0,14,15 +Grass walking,0.5625,0.6428571428571429,0.6,14.0,16,14 +Uneven ground walking,0.8,0.3076923076923077,0.4444444444444444,13.0,5,13 +Carry,0.9,0.28125,0.42857142857142855,32.0,10,32 +accuracy,0.5443786982248521,0.5443786982248521,0.5443786982248521,0.5443786982248521,0,0 +macro avg,0.6442844916662803,0.48327924160093877,0.5231743978021469,507.0,0,0 +weighted avg,0.6269552704678052,0.5443786982248521,0.5427913695212402,507.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..308276120a5affe7571c2b73a4763639f19a4bc8 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1247,0,7,0,19,9,6,6,9,1,4 +Sit to stand,105,111,0,4,0,0,0,0,0,0,0 +Stand to sit,62,2,122,10,0,0,0,0,0,0,0 +Sitting,46,25,16,227,0,0,0,0,0,0,0 +Stair up,42,0,0,0,121,0,0,0,0,0,0 +Stair down,19,0,0,0,0,126,0,0,0,0,0 +Ramp up,25,0,0,0,0,0,200,0,0,0,0 +Ramp down,13,0,0,0,0,0,0,196,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,27,0,0,0,0,0,0,0,0,194,0 +Carry,149,0,0,0,0,0,0,0,0,0,503 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f7cc4e9c9a7692df0c0035116ecffcea3648fcb --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1132,0,1,0,13,5,2,1,2,0,2 +Sit to stand,53,73,0,2,0,0,0,0,0,0,0 +Stand to sit,25,1,81,0,0,0,0,0,0,0,0 +Sitting,41,10,2,191,0,0,0,0,0,0,0 +Stair up,33,0,0,0,114,0,0,0,0,0,0 +Stair down,13,0,0,0,0,119,0,0,0,0,0 +Ramp up,17,0,0,0,0,0,193,0,0,0,0 +Ramp down,5,0,0,0,0,0,0,190,0,0,0 +Grass walking,0,0,0,0,0,0,0,0,173,0,0 +Uneven ground walking,15,0,0,0,0,0,0,0,0,192,0 +Carry,128,0,0,0,0,0,0,0,0,0,494 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..10ccc86eb03e55eb08eab37bff5681416cb3c6c1 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,115,0,6,0,6,4,4,5,7,1,2 +Sit to stand,52,38,0,2,0,0,0,0,0,0,0 +Stand to sit,37,1,41,10,0,0,0,0,0,0,0 +Sitting,5,15,14,36,0,0,0,0,0,0,0 +Stair up,9,0,0,0,7,0,0,0,0,0,0 +Stair down,6,0,0,0,0,7,0,0,0,0,0 +Ramp up,8,0,0,0,0,0,7,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,6,0,0,0 +Grass walking,4,0,0,0,0,0,0,0,10,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,2,0 +Carry,21,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..6b77a069f8ff8990f821e7dd522707379a80c5f6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7170787809085681,0.9533639143730887,0.81851000984575,1308.0,1739,1308 +Sit to stand,0.8043478260869565,0.5045454545454545,0.6201117318435754,220.0,138,220 +Stand to sit,0.8413793103448276,0.6224489795918368,0.7155425219941349,196.0,145,196 +Sitting,0.941908713692946,0.7229299363057324,0.818018018018018,314.0,241,314 +Stair up,0.8642857142857143,0.7423312883435583,0.7986798679867987,163.0,140,163 +Stair down,0.9333333333333333,0.8689655172413793,0.9,145.0,135,145 +Ramp up,0.970873786407767,0.8888888888888888,0.9280742459396751,225.0,206,225 +Ramp down,0.9702970297029703,0.937799043062201,0.9537712895377128,209.0,202,209 +Grass walking,0.953125,0.9786096256684492,0.9656992084432717,187.0,192,187 +Uneven ground walking,0.9948717948717949,0.8778280542986425,0.9326923076923077,221.0,195,221 +Carry,0.9921104536489151,0.7714723926380368,0.8679896462467644,652.0,507,652 +accuracy,0.8411458333333334,0.8411458333333334,0.8411458333333334,0.8411458333333334,0,0 +macro avg,0.9076010675712541,0.8062893722688426,0.847189895231637,3840.0,0,0 +weighted avg,0.8640554404823023,0.8411458333333334,0.8400050496134831,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..19720c5d584664c0850884a1c7007e69e3ad4e7d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.774281805745554,0.9775474956822107,0.8641221374045801,1158.0,1462,1158 +Sit to stand,0.8690476190476191,0.5703125,0.6886792452830188,128.0,84,128 +Stand to sit,0.9642857142857143,0.7570093457943925,0.8481675392670157,107.0,84,107 +Sitting,0.9896373056994818,0.7827868852459017,0.8741418764302059,244.0,193,244 +Stair up,0.8976377952755905,0.7755102040816326,0.8321167883211679,147.0,127,147 +Stair down,0.9596774193548387,0.9015151515151515,0.9296875,132.0,124,132 +Ramp up,0.9897435897435898,0.919047619047619,0.9530864197530864,210.0,195,210 +Ramp down,0.9947643979057592,0.9743589743589743,0.9844559585492227,195.0,191,195 +Grass walking,0.9885714285714285,1.0,0.9942528735632183,173.0,175,173 +Uneven ground walking,1.0,0.927536231884058,0.9624060150375939,207.0,192,207 +Carry,0.9959677419354839,0.7942122186495176,0.8837209302325582,622.0,496,622 +accuracy,0.8883538970809509,0.8883538970809509,0.8883538970809509,0.8883538970809509,0,0 +macro avg,0.9476013470513692,0.8527124205690416,0.8922579348946971,3323.0,0,0 +weighted avg,0.9059514533961923,0.8883538970809509,0.8880241082917844,3323.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..aa85102b1344b458a4fbf1be5a7f58d1135d4ab7 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4151624548736462,0.7666666666666667,0.5386416861826698,150.0,277,150 +Sit to stand,0.7037037037037037,0.41304347826086957,0.5205479452054794,92.0,54,92 +Stand to sit,0.6721311475409836,0.4606741573033708,0.5466666666666666,89.0,61,89 +Sitting,0.75,0.5142857142857142,0.6101694915254238,70.0,48,70 +Stair up,0.5384615384615384,0.4375,0.4827586206896552,16.0,13,16 +Stair down,0.6363636363636364,0.5384615384615384,0.5833333333333334,13.0,11,13 +Ramp up,0.6363636363636364,0.4666666666666667,0.5384615384615384,15.0,11,15 +Ramp down,0.5454545454545454,0.42857142857142855,0.48,14.0,11,14 +Grass walking,0.5882352941176471,0.7142857142857143,0.6451612903225806,14.0,17,14 +Uneven ground walking,0.6666666666666666,0.14285714285714285,0.23529411764705882,14.0,3,14 +Carry,0.8181818181818182,0.3,0.43902439024390244,30.0,11,30 +accuracy,0.5377176015473888,0.5377176015473888,0.5377176015473888,0.5377176015473888,0,0 +macro avg,0.6337022219752565,0.4711829552144647,0.5109144618434827,517.0,0,0 +weighted avg,0.610287801101161,0.5377176015473888,0.5331786525853008,517.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..585d0838a344942915ba926139624c719bb1770d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1261,0,5,0,13,6,2,4,4,1,7 +Sit to stand,102,110,0,7,0,0,0,0,0,0,0 +Stand to sit,67,1,123,7,0,0,0,0,0,0,0 +Sitting,52,23,14,225,0,0,0,0,0,0,0 +Stair up,38,0,0,0,128,0,0,1,0,0,0 +Stair down,18,0,0,0,0,128,0,0,0,0,0 +Ramp up,24,0,0,0,0,0,201,0,0,0,0 +Ramp down,17,0,0,0,0,0,0,192,0,0,0 +Grass walking,6,0,0,0,0,0,0,0,183,0,0 +Uneven ground walking,33,0,0,0,0,0,0,0,0,185,0 +Carry,162,0,0,0,0,0,0,0,0,0,490 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..5c8ada44c7fec35e4e63880a22ce89fc3d22a2ef --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1143,0,0,0,9,3,0,1,0,0,3 +Sit to stand,51,77,0,1,0,0,0,0,0,0,0 +Stand to sit,34,0,76,1,0,0,0,0,0,0,0 +Sitting,42,12,1,188,0,0,0,0,0,0,0 +Stair up,29,0,0,0,122,0,0,0,0,0,0 +Stair down,9,0,0,0,0,123,0,0,0,0,0 +Ramp up,15,0,0,0,0,0,196,0,0,0,0 +Ramp down,8,0,0,0,0,0,0,187,0,0,0 +Grass walking,1,0,0,0,0,0,0,0,174,0,0 +Uneven ground walking,19,0,0,0,0,0,0,0,0,184,0 +Carry,144,0,0,0,0,0,0,0,0,0,479 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..c9203d47ceacf952ffc1f56274440f96e4903e28 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,118,0,5,0,4,3,2,3,4,1,4 +Sit to stand,51,33,0,6,0,0,0,0,0,0,0 +Stand to sit,33,1,47,6,0,0,0,0,0,0,0 +Sitting,10,11,13,37,0,0,0,0,0,0,0 +Stair up,9,0,0,0,6,0,0,1,0,0,0 +Stair down,9,0,0,0,0,5,0,0,0,0,0 +Ramp up,9,0,0,0,0,0,5,0,0,0,0 +Ramp down,9,0,0,0,0,0,0,5,0,0,0 +Grass walking,5,0,0,0,0,0,0,0,9,0,0 +Uneven ground walking,14,0,0,0,0,0,0,0,0,1,0 +Carry,18,0,0,0,0,0,0,0,0,0,11 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..0bc02775c961c0c807485db83ff33d595772392c --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7084269662921349,0.967766692248657,0.8180343820953616,1303.0,1780,1303 +Sit to stand,0.8208955223880597,0.502283105022831,0.623229461756374,219.0,134,219 +Stand to sit,0.8661971830985915,0.6212121212121212,0.7235294117647059,198.0,142,198 +Sitting,0.9414225941422594,0.7165605095541401,0.8137432188065099,314.0,239,314 +Stair up,0.9078014184397163,0.7664670658682635,0.8311688311688312,167.0,141,167 +Stair down,0.9552238805970149,0.8767123287671232,0.9142857142857143,146.0,134,146 +Ramp up,0.9901477832512315,0.8933333333333333,0.9392523364485982,225.0,203,225 +Ramp down,0.9746192893401016,0.9186602870813397,0.9458128078817734,209.0,197,209 +Grass walking,0.9786096256684492,0.9682539682539683,0.973404255319149,189.0,187,189 +Uneven ground walking,0.9946236559139785,0.8486238532110092,0.9158415841584159,218.0,186,218 +Carry,0.9859154929577465,0.7515337423312883,0.8529155787641427,652.0,497,652 +accuracy,0.8401041666666667,0.8401041666666667,0.8401041666666667,0.8401041666666667,0,0 +macro avg,0.9203530374626621,0.8028551824440068,0.850110689313598,3840.0,0,0 +weighted avg,0.8677386659101738,0.8401041666666667,0.8391108424022831,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..2ea7d772c069aa84f3abd67d3b024648051cb820 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7645484949832776,0.9861949956859362,0.8613413715146948,1159.0,1495,1159 +Sit to stand,0.8651685393258427,0.5968992248062015,0.7064220183486238,129.0,89,129 +Stand to sit,0.987012987012987,0.6846846846846847,0.8085106382978723,111.0,77,111 +Sitting,0.9894736842105263,0.7736625514403292,0.8683602771362586,243.0,190,243 +Stair up,0.9312977099236641,0.8079470198675497,0.8652482269503546,151.0,131,151 +Stair down,0.9761904761904762,0.9318181818181818,0.9534883720930233,132.0,126,132 +Ramp up,1.0,0.9289099526066351,0.9631449631449631,211.0,196,211 +Ramp down,0.9946808510638298,0.958974358974359,0.9765013054830287,195.0,188,195 +Grass walking,1.0,0.9942857142857143,0.997134670487106,175.0,174,175 +Uneven ground walking,1.0,0.9064039408866995,0.9509043927648578,203.0,184,203 +Carry,0.9937759336099585,0.7688603531300161,0.8669683257918552,623.0,482,623 +accuracy,0.8850540216086434,0.8850540216086434,0.8850540216086434,0.8850540216086434,0,0 +macro avg,0.9547407887564148,0.8489673616533007,0.8925476874556946,3332.0,0,0 +weighted avg,0.9061486385751257,0.8850540216086434,0.8847500100123273,3332.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..f26946a1228dd43148ed3d99a4b1a4f137ca9cab --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.41403508771929826,0.8194444444444444,0.5501165501165501,144.0,285,144 +Sit to stand,0.7333333333333333,0.36666666666666664,0.4888888888888889,90.0,45,90 +Stand to sit,0.7230769230769231,0.5402298850574713,0.618421052631579,87.0,65,87 +Sitting,0.7551020408163265,0.5211267605633803,0.6166666666666667,71.0,49,71 +Stair up,0.6,0.375,0.46153846153846156,16.0,10,16 +Stair down,0.625,0.35714285714285715,0.45454545454545453,14.0,8,14 +Ramp up,0.7142857142857143,0.35714285714285715,0.47619047619047616,14.0,7,14 +Ramp down,0.5555555555555556,0.35714285714285715,0.43478260869565216,14.0,9,14 +Grass walking,0.6923076923076923,0.6428571428571429,0.6666666666666666,14.0,13,14 +Uneven ground walking,0.5,0.06666666666666667,0.11764705882352941,15.0,2,15 +Carry,0.7333333333333333,0.3793103448275862,0.5,29.0,15,29 +accuracy,0.5452755905511811,0.5452755905511811,0.5452755905511811,0.5452755905511811,0,0 +macro avg,0.6405481527661979,0.43479368022835724,0.48958762588762955,508.0,0,0 +weighted avg,0.6234798070353987,0.5452755905511811,0.5372099651208814,508.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad3c09f538c28f2c94ef029dacb13b6c67b9774e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1265,0,1,0,7,2,1,2,2,4,21 +Sit to stand,98,111,0,8,0,0,0,0,0,0,0 +Stand to sit,131,1,59,7,0,0,0,0,0,0,0 +Sitting,75,42,19,178,0,0,0,0,0,0,0 +Stair up,39,0,0,0,128,0,0,0,0,0,0 +Stair down,15,0,0,0,0,131,0,0,0,0,0 +Ramp up,28,0,0,0,0,0,197,0,0,0,0 +Ramp down,16,0,0,0,0,0,0,193,0,0,0 +Grass walking,10,0,0,0,0,0,0,0,179,0,0 +Uneven ground walking,31,0,0,0,0,0,0,0,0,187,0 +Carry,182,0,0,0,0,0,0,0,0,0,470 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..85e711d08d28d4b0243e6974d8e46077270883b9 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,1143,0,0,0,7,1,0,0,0,1,9 +Sit to stand,46,79,0,3,0,0,0,0,0,0,0 +Stand to sit,67,0,41,3,0,0,0,0,0,0,0 +Sitting,53,31,2,157,0,0,0,0,0,0,0 +Stair up,27,0,0,0,124,0,0,0,0,0,0 +Stair down,5,0,0,0,0,127,0,0,0,0,0 +Ramp up,17,0,0,0,0,0,194,0,0,0,0 +Ramp down,10,0,0,0,0,0,0,185,0,0,0 +Grass walking,3,0,0,0,0,0,0,0,172,0,0 +Uneven ground walking,20,0,0,0,0,0,0,0,0,183,0 +Carry,166,0,0,0,0,0,0,0,0,0,457 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..a84e4b56b18c6ecdfcbd854353773bbf7796ed0a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,122,0,1,0,0,1,1,2,2,3,12 +Sit to stand,52,32,0,5,0,0,0,0,0,0,0 +Stand to sit,64,1,18,4,0,0,0,0,0,0,0 +Sitting,22,11,17,21,0,0,0,0,0,0,0 +Stair up,12,0,0,0,4,0,0,0,0,0,0 +Stair down,10,0,0,0,0,4,0,0,0,0,0 +Ramp up,11,0,0,0,0,0,3,0,0,0,0 +Ramp down,6,0,0,0,0,0,0,8,0,0,0 +Grass walking,7,0,0,0,0,0,0,0,7,0,0 +Uneven ground walking,11,0,0,0,0,0,0,0,0,4,0 +Carry,16,0,0,0,0,0,0,0,0,0,13 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c844c0a224226198a2ba56aabd4c4ccf60a55513 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.6693121693121693,0.9693486590038314,0.7918622848200313,1305.0,1890,1305 +Sit to stand,0.7207792207792207,0.511520737327189,0.5983827493261455,217.0,154,217 +Stand to sit,0.7468354430379747,0.29797979797979796,0.4259927797833935,198.0,79,198 +Sitting,0.9222797927461139,0.5668789808917197,0.7021696252465484,314.0,193,314 +Stair up,0.9481481481481482,0.7664670658682635,0.847682119205298,167.0,135,167 +Stair down,0.9849624060150376,0.8972602739726028,0.9390681003584229,146.0,133,146 +Ramp up,0.9949494949494949,0.8755555555555555,0.9314420803782506,225.0,198,225 +Ramp down,0.9897435897435898,0.9234449760765551,0.9554455445544554,209.0,195,209 +Grass walking,0.988950276243094,0.9470899470899471,0.9675675675675676,189.0,181,189 +Uneven ground walking,0.9790575916230366,0.8577981651376146,0.9144254278728606,218.0,191,218 +Carry,0.9572301425661914,0.7208588957055214,0.8223972003499562,652.0,491,652 +accuracy,0.8067708333333333,0.8067708333333333,0.8067708333333333,0.8067708333333333,0,0 +macro avg,0.9002043886512792,0.7576548231462361,0.8087668617693573,3840.0,0,0 +weighted avg,0.8397542326253066,0.8067708333333333,0.800626198606711,3840.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a706b4b269bda79b5437a3b588ab95503986687 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7341040462427746,0.9844961240310077,0.8410596026490066,1161.0,1557,1161 +Sit to stand,0.7181818181818181,0.6171875,0.6638655462184874,128.0,110,128 +Stand to sit,0.9534883720930233,0.36936936936936937,0.5324675324675324,111.0,43,111 +Sitting,0.9631901840490797,0.6460905349794238,0.7733990147783252,243.0,163,243 +Stair up,0.9465648854961832,0.8211920529801324,0.8794326241134752,151.0,131,151 +Stair down,0.9921875,0.9621212121212122,0.9769230769230769,132.0,128,132 +Ramp up,1.0,0.919431279620853,0.9580246913580247,211.0,194,211 +Ramp down,1.0,0.9487179487179487,0.9736842105263158,195.0,185,195 +Grass walking,1.0,0.9828571428571429,0.9913544668587896,175.0,172,175 +Uneven ground walking,0.9945652173913043,0.9014778325123153,0.9457364341085271,203.0,184,203 +Carry,0.98068669527897,0.7335473515248796,0.8393021120293848,623.0,466,623 +accuracy,0.8586858685868587,0.8586858685868587,0.8586858685868587,0.8586858685868587,0,0 +macro avg,0.9348153380666505,0.8078625771558442,0.8522953920028132,3333.0,0,0 +weighted avg,0.8856522929614591,0.8586858685868587,0.8552659442632086,3333.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..79d58d588903df87049c66b84b5cd802cbd15068 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/subject_Subject17/horizon_1.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.3663663663663664,0.8472222222222222,0.5115303983228512,144.0,333,144 +Sit to stand,0.7272727272727273,0.3595505617977528,0.48120300751879697,89.0,44,89 +Stand to sit,0.5,0.20689655172413793,0.2926829268292683,87.0,36,87 +Sitting,0.7,0.29577464788732394,0.4158415841584158,71.0,30,71 +Stair up,1.0,0.25,0.4,16.0,4,16 +Stair down,0.8,0.2857142857142857,0.42105263157894735,14.0,5,14 +Ramp up,0.75,0.21428571428571427,0.3333333333333333,14.0,4,14 +Ramp down,0.8,0.5714285714285714,0.6666666666666666,14.0,10,14 +Grass walking,0.7777777777777778,0.5,0.6086956521739131,14.0,9,14 +Uneven ground walking,0.5714285714285714,0.26666666666666666,0.36363636363636365,15.0,7,15 +Carry,0.52,0.4482758620689655,0.48148148148148145,29.0,25,29 +accuracy,0.46548323471400394,0.46548323471400394,0.46548323471400394,0.46548323471400394,0,0 +macro avg,0.6829859493495857,0.38598318943596727,0.452374913245458,507.0,0,0 +weighted avg,0.580126917049994,0.46548323471400394,0.4451865809213133,507.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.0s.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.0s.csv new file mode 100644 index 0000000000000000000000000000000000000000..04febb8c730d17ff36c36b5e8dfba150b8e0221a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.0s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8520698051948052,0.8226964009899718,0.8452685028541903,0.8487935103572029,0.46672328139929464 +Subject06,Subject06,0.8314903846153846,0.769788505641084,0.8141838849121742,0.7894627933155537,0.4329182032856469 +Subject07,Subject07,0.82825,0.7892781313432559,0.8178023270024409,0.8294642188596172,0.4268288109287275 +Subject08,Subject08,0.8423165137614679,0.8182862691602311,0.8343269892550079,0.8593232271380461,0.45158059498721975 +Subject17,Subject17,0.84375,0.8489698198566333,0.8430553080775586,0.8886070898620306,0.5613640468632584 +Subject26,Subject26,0.8398164335664335,0.7823003934889443,0.832557902236983,0.82491203249316,0.4479607270835498 +MEAN,MEAN,0.8396155228563486,0.80521992008002,0.8311991523897259,0.8400938120042684,0.4645626107579495 +STD,STD,0.007902866020557455,0.02715707719354152,0.011684311936519285,0.030838201469728408,0.04517475323397877 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.1s.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.1s.csv new file mode 100644 index 0000000000000000000000000000000000000000..c2eea3dbb18017525a47e0da54da96d082b1d848 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.1s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8457792207792207,0.8208831187160609,0.8388906232715219,0.8506185848858228,0.42919252567973065 +Subject06,Subject06,0.8338942307692307,0.7769311270396695,0.8181016324050758,0.7938476193944933,0.4638372542725891 +Subject07,Subject07,0.830625,0.7981588541479911,0.8225883114667386,0.8403111558110048,0.427643064625636 +Subject08,Subject08,0.8497706422018348,0.8318753899636928,0.844320067043714,0.8727439068526374,0.4471112552964772 +Subject17,Subject17,0.8471354166666667,0.8533018341006403,0.8465667865674396,0.8942336021009069,0.5648368905134968 +Subject26,Subject26,0.8459353146853147,0.7964815234989863,0.8403523187366001,0.8369906199451215,0.46350403912708876 +MEAN,MEAN,0.8421899708503781,0.8129386412445068,0.8351366232485149,0.8481242481649978,0.46602083825250307 +STD,STD,0.007204190704239314,0.025287422506755107,0.01083152275107828,0.031276658895842385,0.046480219707538274 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.3s.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.3s.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b6a004af80f5f64c818732021ecf63da8dd0524 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_0.3s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.8317775974025974,0.8178226201785289,0.8276902929961268,0.8428952578081766,0.4208256927563394 +Subject06,Subject06,0.8425480769230769,0.7952706750831703,0.83401047655491,0.8180552539485132,0.4493144018461956 +Subject07,Subject07,0.836875,0.8119344751822435,0.8323464515921151,0.8534934729297092,0.38883907070124857 +Subject08,Subject08,0.8489105504587156,0.8340696996072143,0.8447890885834702,0.8760730682496429,0.4039293687131255 +Subject17,Subject17,0.8411458333333334,0.847189895231637,0.8400050496134831,0.8922579348946971,0.5109144618434827 +Subject26,Subject26,0.8647290209790209,0.8221295109402625,0.8611426517593446,0.8671729417348132,0.4751593226929979 +MEAN,MEAN,0.8443310131827907,0.8214028127038429,0.8399973351832416,0.8583246549275921,0.4414970530922316 +STD,STD,0.010516300810555969,0.016387533625756994,0.010923424040570427,0.02390187271037654,0.04208034998901417 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_1.0s.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_1.0s.csv new file mode 100644 index 0000000000000000000000000000000000000000..b0502bedf0f2b70392c0a4e3b21175b7b26785ee --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/per_subject_results/test_subject_results_horizon_1.0s.csv @@ -0,0 +1,9 @@ +subject,subject,accuracy,macro_f1,weighted_f1,steady_macro_f1,transition_macro_f1 +Subject05,Subject05,0.7568993506493507,0.735131128483673,0.7406235294120017,0.760887841758905,0.24889665223998056 +Subject06,Subject06,0.8288461538461539,0.7878064638996535,0.822039917207616,0.8198354221253759,0.22229188371546557 +Subject07,Subject07,0.807,0.7550581083295271,0.793215880983063,0.7910170956024847,0.25661476682128803 +Subject08,Subject08,0.7909977064220184,0.7444339976454752,0.7775700700739079,0.7833816460859553,0.24822244054169368 +Subject17,Subject17,0.8067708333333333,0.8087668617693573,0.800626198606711,0.8522953920028132,0.452374913245458 +Subject26,Subject26,0.8450611888111889,0.7756423080325049,0.8368005121911221,0.8128327143423778,0.32836493399334926 +MEAN,MEAN,0.805929205510341,0.7678064780266985,0.7951460180790703,0.8033750186529853,0.2927942650928725 +STD,STD,0.027944080795492363,0.025546118230922028,0.03102083229224908,0.02918678133467452,0.07844790796435025 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..6760006d0d72cb9ee2f3c8f44bfbc496688a22b1 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,3074,10,74,0,65,6,15,6,4,14,34 +Sit to stand,98,482,0,18,0,0,0,0,0,0,0 +Stand to sit,90,30,518,48,0,0,0,0,0,0,0 +Sitting,31,69,16,721,0,0,0,0,0,0,0 +Stair up,8,0,0,0,339,0,0,4,0,0,0 +Stair down,14,0,0,0,0,171,0,0,0,0,0 +Ramp up,35,0,0,0,0,3,455,0,0,0,0 +Ramp down,33,0,0,0,0,0,0,436,0,0,0 +Grass walking,48,0,0,0,0,0,0,0,387,1,0 +Uneven ground walking,18,0,0,0,0,0,0,0,0,262,0 +Carry,160,0,0,0,0,0,0,0,0,0,1003 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..3c22c1cbfe10735a00f4f1fd95a51be7a039d4c0 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2768,2,11,0,48,1,3,2,1,5,28 +Sit to stand,22,246,0,3,0,0,0,0,0,0,0 +Stand to sit,43,7,297,11,0,0,0,0,0,0,0 +Sitting,12,8,3,612,0,0,0,0,0,0,0 +Stair up,2,0,0,0,303,0,0,0,0,0,0 +Stair down,5,0,0,0,0,154,0,0,0,0,0 +Ramp up,22,0,0,0,0,0,427,0,0,0,0 +Ramp down,17,0,0,0,0,0,0,413,0,0,0 +Grass walking,21,0,0,0,0,0,0,0,372,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,242,0 +Carry,125,0,0,0,0,0,0,0,0,0,988 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..fefc5e5fa4459605ada59ffd4d18372981196a48 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,306,8,63,0,17,5,12,4,3,9,6 +Sit to stand,76,236,0,15,0,0,0,0,0,0,0 +Stand to sit,47,23,221,37,0,0,0,0,0,0,0 +Sitting,19,61,13,109,0,0,0,0,0,0,0 +Stair up,6,0,0,0,36,0,0,4,0,0,0 +Stair down,9,0,0,0,0,17,0,0,0,0,0 +Ramp up,13,0,0,0,0,3,28,0,0,0,0 +Ramp down,16,0,0,0,0,0,0,23,0,0,0 +Grass walking,27,0,0,0,0,0,0,0,15,1,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,20,0 +Carry,35,0,0,0,0,0,0,0,0,0,15 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..c5424d1d7b58af5d83164041044eaee5813712e9 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8517594901634802,0.9309509388249546,0.889596295760382,3302.0,3609,3302 +Sit to stand,0.8155668358714044,0.8060200668896321,0.8107653490328006,598.0,591,598 +Stand to sit,0.8519736842105263,0.7551020408163265,0.8006182380216383,686.0,608,686 +Sitting,0.9161372299872935,0.8614097968936678,0.8879310344827587,837.0,787,837 +Stair up,0.8391089108910891,0.9658119658119658,0.8980132450331125,351.0,404,351 +Stair down,0.95,0.9243243243243243,0.936986301369863,185.0,180,185 +Ramp up,0.9680851063829787,0.922920892494929,0.944963655244029,493.0,470,493 +Ramp down,0.9775784753363229,0.929637526652452,0.9530054644808743,469.0,446,469 +Grass walking,0.989769820971867,0.8876146788990825,0.9359129383313181,436.0,391,436 +Uneven ground walking,0.9458483754512635,0.9357142857142857,0.940754039497307,280.0,277,280 +Carry,0.9672131147540983,0.8624247635425624,0.9118181818181819,1163.0,1037,1163 +accuracy,0.8918181818181818,0.8918181818181818,0.8918181818181818,0.8918181818181818,0,0 +macro avg,0.9157310040018476,0.889266480078562,0.9009422493702058,8800.0,0,0 +weighted avg,0.8953128571443315,0.8918181818181818,0.891817330878459,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..0c36d83e0cd31ecb8324e2b82481b3ab62fbb3e0 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9087327642810243,0.9647960962007668,0.9359256128486898,2869.0,3046,2869 +Sit to stand,0.935361216730038,0.9077490774907749,0.9213483146067416,271.0,263,271 +Stand to sit,0.954983922829582,0.8296089385474861,0.8878923766816144,358.0,311,358 +Sitting,0.9776357827476039,0.9637795275590552,0.9706582077716098,635.0,626,635 +Stair up,0.8632478632478633,0.9934426229508196,0.9237804878048781,305.0,351,305 +Stair down,0.9935483870967742,0.9685534591194969,0.9808917197452229,159.0,155,159 +Ramp up,0.9930232558139535,0.9510022271714922,0.9715585893060296,449.0,430,449 +Ramp down,0.9951807228915662,0.9604651162790697,0.9775147928994082,430.0,415,430 +Grass walking,0.9973190348525469,0.9465648854961832,0.9712793733681462,393.0,373,393 +Uneven ground walking,0.979757085020243,0.9641434262948207,0.9718875502008032,251.0,247,251 +Carry,0.9724409448818898,0.8876909254267745,0.9281352747768905,1113.0,1016,1113 +accuracy,0.9431771049357113,0.9431771049357113,0.9431771049357113,0.9431771049357113,0,0 +macro avg,0.9610209982175533,0.9397996638669762,0.9491702090918213,7233.0,0,0 +weighted avg,0.9454683094300177,0.9431771049357113,0.9431821566064152,7233.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec37713e826d647b609f286cf8c7f08da982b3f3 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5435168738898757,0.7066974595842956,0.6144578313253012,433.0,563,433 +Sit to stand,0.7195121951219512,0.7217125382262997,0.7206106870229008,327.0,328,327 +Stand to sit,0.7441077441077442,0.6737804878048781,0.7072,328.0,297,328 +Sitting,0.6770186335403726,0.5396039603960396,0.6005509641873278,202.0,161,202 +Stair up,0.6792452830188679,0.782608695652174,0.7272727272727273,46.0,53,46 +Stair down,0.68,0.6538461538461539,0.6666666666666666,26.0,25,26 +Ramp up,0.7,0.6363636363636364,0.6666666666666666,44.0,40,44 +Ramp down,0.7419354838709677,0.5897435897435898,0.6571428571428571,39.0,31,39 +Grass walking,0.8333333333333334,0.3488372093023256,0.4918032786885246,43.0,18,43 +Uneven ground walking,0.6666666666666666,0.6896551724137931,0.6779661016949152,29.0,30,29 +Carry,0.7142857142857143,0.3,0.4225352112676056,50.0,21,50 +accuracy,0.6547543075941289,0.6547543075941289,0.6547543075941289,0.6547543075941289,0,0 +macro avg,0.6999656298032266,0.6038953548484715,0.6320793629032267,1567.0,0,0 +weighted avg,0.6707020532944976,0.6547543075941289,0.6526215267594812,1567.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..98b850383768833c44537121d253c293c7ff861a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8073139974779319,0.969412477286493,0.8809687629007844,3302.0,3965,3302 +Sit to stand,0.7513812154696132,0.6822742474916388,0.7151621384750219,598.0,543,598 +Stand to sit,0.9693396226415094,0.5991253644314869,0.7405405405405405,686.0,424,686 +Sitting,0.9277929155313351,0.8136200716845878,0.8669637173774666,837.0,734,837 +Stair up,0.8981233243967829,0.9544159544159544,0.925414364640884,351.0,373,351 +Stair down,0.9770114942528736,0.918918918918919,0.947075208913649,185.0,174,185 +Ramp up,0.9888888888888889,0.9026369168356998,0.943796394485684,493.0,450,493 +Ramp down,0.9863013698630136,0.9211087420042644,0.9525909592061742,469.0,438,469 +Grass walking,0.9920844327176781,0.8623853211009175,0.9226993865030675,436.0,379,436 +Uneven ground walking,0.9628252788104089,0.925,0.9435336976320583,280.0,269,280 +Carry,0.9695528068506185,0.8761822871883062,0.9205058717253839,1163.0,1051,1163 +accuracy,0.8792045454545454,0.8792045454545454,0.8792045454545454,0.8792045454545454,0,0 +macro avg,0.9300559406273322,0.8568254819416606,0.8872046402182469,8800.0,0,0 +weighted avg,0.8900479796638503,0.8792045454545454,0.8772052375929831,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..32437813aff2f1682e462563a87d9f63b132bdc4 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8861557868180385,0.9794353433252004,0.9304635761589404,2869.0,3171,2869 +Sit to stand,0.9163346613545816,0.8487084870848709,0.8812260536398467,271.0,251,271 +Stand to sit,0.9927272727272727,0.7625698324022346,0.8625592417061612,358.0,275,358 +Sitting,0.9847198641765704,0.9133858267716536,0.9477124183006536,635.0,589,635 +Stair up,0.9176829268292683,0.9868852459016394,0.9510268562401264,305.0,328,305 +Stair down,1.0,0.9685534591194969,0.9840255591054313,159.0,154,159 +Ramp up,1.0,0.9420935412026726,0.9701834862385321,449.0,423,449 +Ramp down,0.9975669099756691,0.9534883720930233,0.9750297265160524,430.0,411,430 +Grass walking,0.9972602739726028,0.926208651399491,0.9604221635883905,393.0,365,393 +Uneven ground walking,0.9877049180327869,0.9601593625498008,0.9737373737373738,251.0,244,251 +Carry,0.9765166340508806,0.8966756513926325,0.9348946135831382,1113.0,1022,1113 +accuracy,0.9379234066085995,0.9379234066085995,0.9379234066085995,0.9379234066085995,0,0 +macro avg,0.9687881134488792,0.9216512521129743,0.9428437335286042,7233.0,0,0 +weighted avg,0.9422021875798544,0.9379234066085995,0.9377431181361089,7233.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..32a2f929139db389e60431fd61fe928308a194e3 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.0s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4924433249370277,0.9030023094688222,0.6373268133659332,433.0,794,433 +Sit to stand,0.6095890410958904,0.5443425076452599,0.5751211631663974,327.0,292,327 +Stand to sit,0.9261744966442953,0.42073170731707316,0.5786163522012578,328.0,149,328 +Sitting,0.696551724137931,0.5,0.5821325648414986,202.0,145,202 +Stair up,0.7555555555555555,0.7391304347826086,0.7472527472527473,46.0,45,46 +Stair down,0.8,0.6153846153846154,0.6956521739130435,26.0,20,26 +Ramp up,0.8148148148148148,0.5,0.6197183098591549,44.0,27,44 +Ramp down,0.8148148148148148,0.5641025641025641,0.6666666666666666,39.0,27,39 +Grass walking,0.8571428571428571,0.27906976744186046,0.42105263157894735,43.0,14,43 +Uneven ground walking,0.72,0.6206896551724138,0.6666666666666666,29.0,25,29 +Carry,0.7241379310344828,0.42,0.5316455696202531,50.0,29,50 +accuracy,0.6081684747925973,0.6081684747925973,0.6081684747925973,0.6081684747925973,0,0 +macro avg,0.7464749600161518,0.555132141937747,0.611077423557506,1567.0,0,0 +weighted avg,0.6855019042152728,0.6081684747925973,0.600608255050584,1567.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..e8c0a68b019a241bb71d12a8242f01c8818efa7f --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,3115,17,32,0,60,3,5,4,6,9,30 +Sit to stand,125,458,3,21,0,0,0,0,0,0,0 +Stand to sit,113,18,545,21,0,0,0,0,0,0,0 +Sitting,39,72,23,696,0,0,0,0,0,0,0 +Stair up,5,0,0,0,337,0,0,3,0,0,0 +Stair down,17,0,0,0,0,171,0,0,0,0,0 +Ramp up,45,0,0,0,0,0,451,0,0,0,0 +Ramp down,26,0,0,0,2,0,0,444,0,0,0 +Grass walking,51,0,0,0,0,0,0,0,385,0,0 +Uneven ground walking,21,0,0,0,0,0,0,0,0,263,0 +Carry,167,0,0,0,0,0,0,0,0,0,997 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..6faca3323abbbc13aeefb7f9aa8893ba1e4d73f7 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2760,2,19,0,44,0,0,0,1,2,26 +Sit to stand,37,244,0,2,0,0,0,0,0,0,0 +Stand to sit,28,4,335,3,0,0,0,0,0,0,0 +Sitting,12,22,0,599,0,0,0,0,0,0,0 +Stair up,0,0,0,0,299,0,0,0,0,0,0 +Stair down,0,0,0,0,0,161,0,0,0,0,0 +Ramp up,23,0,0,0,0,0,432,0,0,0,0 +Ramp down,14,0,0,0,0,0,0,417,0,0,0 +Grass walking,25,0,0,0,0,0,0,0,370,0,0 +Uneven ground walking,12,0,0,0,0,0,0,0,0,241,0 +Carry,124,0,0,0,0,0,0,0,0,0,988 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..579f0d72d4197563a4df73ed16dba179896f7791 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,355,15,13,0,16,3,5,4,5,7,4 +Sit to stand,88,214,3,19,0,0,0,0,0,0,0 +Stand to sit,85,14,210,18,0,0,0,0,0,0,0 +Sitting,27,50,23,97,0,0,0,0,0,0,0 +Stair up,5,0,0,0,38,0,0,3,0,0,0 +Stair down,17,0,0,0,0,10,0,0,0,0,0 +Ramp up,22,0,0,0,0,0,19,0,0,0,0 +Ramp down,12,0,0,0,2,0,0,27,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,15,0,0 +Uneven ground walking,9,0,0,0,0,0,0,0,0,22,0 +Carry,43,0,0,0,0,0,0,0,0,0,9 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..dab50c20ba66655131100d3717803583e9d18f1e --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8364661654135338,0.9494056690033527,0.8893647394718058,3281.0,3724,3281 +Sit to stand,0.8106194690265487,0.7545304777594728,0.7815699658703071,607.0,565,607 +Stand to sit,0.9038142620232172,0.7819225251076041,0.8384615384615385,697.0,603,697 +Sitting,0.943089430894309,0.8385542168674699,0.8877551020408163,830.0,738,830 +Stair up,0.8446115288220551,0.9768115942028985,0.9059139784946236,345.0,399,345 +Stair down,0.9827586206896551,0.9095744680851063,0.9447513812154696,188.0,174,188 +Ramp up,0.9890350877192983,0.9092741935483871,0.9474789915966386,496.0,456,496 +Ramp down,0.9844789356984479,0.940677966101695,0.962080173347779,472.0,451,472 +Grass walking,0.9846547314578005,0.8830275229357798,0.9310761789600968,436.0,391,436 +Uneven ground walking,0.9669117647058824,0.926056338028169,0.9460431654676259,284.0,272,284 +Carry,0.9707887049659202,0.8565292096219931,0.9100867183934277,1164.0,1027,1164 +accuracy,0.8934090909090909,0.8934090909090909,0.8934090909090909,0.8934090909090909,0,0 +macro avg,0.9288389728560609,0.8842149255692662,0.9040529030291027,8800.0,0,0 +weighted avg,0.8993761125747142,0.8934090909090909,0.8933902867752769,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..769ccf0d59d840bec42a75452e82fd974da53f8a --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.9093904448105437,0.9670637701471618,0.9373408048904738,2854.0,3035,2854 +Sit to stand,0.8970588235294118,0.8621908127208481,0.8792792792792793,283.0,272,283 +Stand to sit,0.9463276836158192,0.9054054054054054,0.925414364640884,370.0,354,370 +Sitting,0.9917218543046358,0.9462875197472354,0.9684721099434115,633.0,604,633 +Stair up,0.8717201166180758,1.0,0.9314641744548287,299.0,343,299 +Stair down,1.0,1.0,1.0,161.0,161,161 +Ramp up,1.0,0.9494505494505494,0.9740698985343855,455.0,432,455 +Ramp down,1.0,0.9675174013921114,0.9834905660377359,431.0,417,431 +Grass walking,0.9973045822102425,0.9367088607594937,0.9660574412532638,395.0,371,395 +Uneven ground walking,0.9917695473251029,0.9525691699604744,0.9717741935483871,253.0,243,253 +Carry,0.9743589743589743,0.8884892086330936,0.929444967074318,1112.0,1014,1112 +accuracy,0.9447971294507315,0.9447971294507315,0.9447971294507315,0.9447971294507315,0,0 +macro avg,0.9617865478884369,0.9432438816560339,0.9515279817869972,7246.0,0,0 +weighted avg,0.9471644566744526,0.9447971294507315,0.9449408285000801,7246.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..44efe8c1aef2e7717b9a6470ebe3c6d7a7cc910d --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.5152394775036284,0.8313817330210773,0.6362007168458781,427.0,689,427 +Sit to stand,0.7303754266211604,0.6604938271604939,0.6936790923824959,324.0,293,324 +Stand to sit,0.8433734939759037,0.6422018348623854,0.7291666666666666,327.0,249,327 +Sitting,0.7238805970149254,0.49238578680203043,0.5861027190332326,197.0,134,197 +Stair up,0.6785714285714286,0.8260869565217391,0.7450980392156863,46.0,56,46 +Stair down,0.7692307692307693,0.37037037037037035,0.5,27.0,13,27 +Ramp up,0.7916666666666666,0.4634146341463415,0.5846153846153846,41.0,24,41 +Ramp down,0.7941176470588235,0.6585365853658537,0.72,41.0,34,41 +Grass walking,0.75,0.36585365853658536,0.4918032786885246,41.0,20,41 +Uneven ground walking,0.7586206896551724,0.7096774193548387,0.7333333333333333,31.0,29,31 +Carry,0.6923076923076923,0.17307692307692307,0.27692307692307694,52.0,13,52 +accuracy,0.6537966537966537,0.6537966537966537,0.6537966537966537,0.6537966537966537,0,0 +macro avg,0.7315803535096518,0.563043611747149,0.6088111188822073,1554.0,0,0 +weighted avg,0.6964635907251854,0.6537966537966537,0.64920880051955,1554.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..6031a3b4a8728138c4d85deebd1e9ea93d75c9c4 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7970580902518075,0.9743980493751905,0.8768513439385628,3281.0,4011,3281 +Sit to stand,0.7995951417004049,0.6507413509060955,0.7175295186194369,607.0,494,607 +Stand to sit,0.9308300395256917,0.6757532281205165,0.7830423940149626,697.0,506,697 +Sitting,0.9556868537666174,0.7795180722891566,0.8586595885865959,830.0,677,830 +Stair up,0.8924731182795699,0.9623188405797102,0.9260808926080892,345.0,372,345 +Stair down,0.9883040935672515,0.898936170212766,0.9415041782729805,188.0,171,188 +Ramp up,0.9977324263038548,0.8870967741935484,0.9391675560298826,496.0,441,496 +Ramp down,0.9908045977011494,0.913135593220339,0.9503858875413451,472.0,435,472 +Grass walking,0.9973890339425587,0.8761467889908257,0.9328449328449329,436.0,383,436 +Uneven ground walking,0.9773584905660377,0.9119718309859155,0.9435336976320583,284.0,265,284 +Carry,0.9732057416267943,0.8737113402061856,0.9207786328655501,1164.0,1045,1164 +accuracy,0.8795454545454545,0.8795454545454545,0.8795454545454545,0.8795454545454545,0,0 +macro avg,0.9364034206574307,0.8548843671891135,0.8900344202685816,8800.0,0,0 +weighted avg,0.8913628220040992,0.8795454545454545,0.8782202175112012,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..44388ede257c2a732212ceeaad6508ee7535effb --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8942492012779553,0.9807288016818501,0.9354946524064172,2854.0,3130,2854 +Sit to stand,0.9137254901960784,0.823321554770318,0.8661710037174721,283.0,255,283 +Stand to sit,0.9904761904761905,0.8432432432432433,0.910948905109489,370.0,315,370 +Sitting,0.9912739965095986,0.8973143759873617,0.9419568822553898,633.0,573,633 +Stair up,0.9143730886850153,1.0,0.9552715654952076,299.0,327,299 +Stair down,1.0,0.9875776397515528,0.99375,161.0,159,161 +Ramp up,1.0,0.9428571428571428,0.9705882352941176,455.0,429,455 +Ramp down,1.0,0.9675174013921114,0.9834905660377359,431.0,417,431 +Grass walking,1.0,0.9417721518987342,0.970013037809648,395.0,372,395 +Uneven ground walking,0.9958847736625515,0.9565217391304348,0.9758064516129032,253.0,243,253 +Carry,0.9775828460038987,0.9019784172661871,0.9382600561272217,1112.0,1026,1112 +accuracy,0.9430030361578802,0.9430030361578802,0.9430030361578802,0.9430030361578802,0,0 +macro avg,0.9706877806192079,0.9311665879980852,0.9492501232605094,7246.0,0,0 +weighted avg,0.9466122951213526,0.9430030361578802,0.9429808621430628,7246.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..0da5a7be033622cea53fda4795f05edc7b4e6c8f --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.2s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4517593643586833,0.9320843091334895,0.6085626911314985,427.0,881,427 +Sit to stand,0.6778242677824268,0.5,0.5754884547069272,324.0,239,324 +Stand to sit,0.8324607329842932,0.48623853211009177,0.6138996138996139,327.0,191,327 +Sitting,0.7596153846153846,0.4010152284263959,0.5249169435215947,197.0,104,197 +Stair up,0.7333333333333333,0.717391304347826,0.7252747252747253,46.0,45,46 +Stair down,0.8333333333333334,0.37037037037037035,0.5128205128205128,27.0,12,27 +Ramp up,0.9166666666666666,0.2682926829268293,0.41509433962264153,41.0,12,41 +Ramp down,0.7777777777777778,0.34146341463414637,0.4745762711864407,41.0,18,41 +Grass walking,0.9090909090909091,0.24390243902439024,0.38461538461538464,41.0,11,41 +Uneven ground walking,0.7727272727272727,0.5483870967741935,0.6415094339622641,31.0,22,31 +Carry,0.7368421052631579,0.2692307692307692,0.39436619718309857,52.0,19,52 +accuracy,0.5836550836550837,0.5836550836550837,0.5836550836550837,0.5836550836550837,0,0 +macro avg,0.7637664679939307,0.4616705588162276,0.5337385970840639,1554.0,0,0 +weighted avg,0.6818686097517833,0.5836550836550837,0.5729193640827978,1554.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..885baba2e63579dc38bffecf2b469e7067642668 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,3130,16,37,0,54,2,7,5,8,10,29 +Sit to stand,131,412,5,30,0,0,0,0,0,0,0 +Stand to sit,113,12,546,15,0,0,0,0,0,0,0 +Sitting,43,72,45,681,0,0,0,0,0,0,0 +Stair up,12,0,0,0,337,0,0,2,0,0,0 +Stair down,14,0,0,0,0,175,0,0,0,0,0 +Ramp up,40,0,0,0,0,0,456,0,0,0,0 +Ramp down,22,0,0,0,3,0,0,443,0,0,0 +Grass walking,54,0,0,0,0,0,0,0,382,0,0 +Uneven ground walking,28,0,0,0,0,0,0,0,2,260,0 +Carry,169,0,0,0,0,0,0,0,0,0,998 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..93bbabcf18e1cbf9619d1403533fe7221a98a032 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.538787023977433,0.8451327433628318,0.6580534022394487,452.0,709,452 +Sit to stand,0.7419354838709677,0.6408668730650154,0.6877076411960132,323.0,279,323 +Stand to sit,0.7695035460992907,0.6595744680851063,0.7103109656301145,329.0,282,329 +Sitting,0.696,0.42028985507246375,0.5240963855421686,207.0,125,207 +Stair up,0.673469387755102,0.7333333333333333,0.7021276595744681,45.0,49,45 +Stair down,0.8888888888888888,0.5714285714285714,0.6956521739130435,28.0,18,28 +Ramp up,0.8148148148148148,0.5365853658536586,0.6470588235294118,41.0,27,41 +Ramp down,0.8,0.7,0.7466666666666667,40.0,35,40 +Grass walking,0.68,0.40476190476190477,0.5074626865671642,42.0,25,42 +Uneven ground walking,0.6923076923076923,0.5806451612903226,0.631578947368421,31.0,26,31 +Carry,0.8181818181818182,0.1875,0.3050847457627119,48.0,11,48 +accuracy,0.6532156368221942,0.6532156368221942,0.6532156368221942,0.6532156368221942,0,0 +macro avg,0.7376262414450916,0.5709198432957462,0.6196181907263303,1586.0,0,0 +weighted avg,0.6874604333381655,0.6532156368221942,0.646126417024414,1586.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..ddf8ccbf0e647948974156370fde2d51df1907da --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.7922717204036426,0.9760460885385082,0.8746094280668387,3298.0,4063,3298 +Sit to stand,0.7991360691144709,0.6401384083044983,0.7108549471661864,578.0,463,578 +Stand to sit,0.8834586466165414,0.685131195335277,0.7717569786535303,686.0,532,686 +Sitting,0.9673405909797823,0.7395957193816884,0.8382749326145552,841.0,643,841 +Stair up,0.9032258064516129,0.9572649572649573,0.9294605809128631,351.0,372,351 +Stair down,1.0,0.873015873015873,0.9322033898305084,189.0,165,189 +Ramp up,0.9954128440366973,0.875,0.9313304721030042,496.0,436,496 +Ramp down,0.9930394431554525,0.9145299145299145,0.9521690767519466,468.0,431,468 +Grass walking,0.9974093264248705,0.8830275229357798,0.9367396593673966,436.0,386,436 +Uneven ground walking,0.9811320754716981,0.896551724137931,0.9369369369369369,290.0,265,290 +Carry,0.975095785440613,0.8723221936589546,0.9208502939846224,1167.0,1044,1167 +accuracy,0.8757954545454546,0.8757954545454546,0.8757954545454546,0.8757954545454546,0,0 +macro avg,0.9352293007359439,0.8466021451912166,0.8850169723989445,8800.0,0,0 +weighted avg,0.8882083964037526,0.8757954545454546,0.8743744547555664,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..d1a8578d1d65fd165a1cfeb14047d86d29259d34 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.3s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4641304347826087,0.9446902654867256,0.6224489795918368,452.0,920,452 +Sit to stand,0.7198275862068966,0.5170278637770898,0.6018018018018018,323.0,232,323 +Stand to sit,0.7444933920704846,0.513677811550152,0.6079136690647482,329.0,227,329 +Sitting,0.7777777777777778,0.30434782608695654,0.4375,207.0,81,207 +Stair up,0.775,0.6888888888888889,0.7294117647058823,45.0,40,45 +Stair down,1.0,0.35714285714285715,0.5263157894736842,28.0,10,28 +Ramp up,0.8181818181818182,0.21951219512195122,0.34615384615384615,41.0,11,41 +Ramp down,0.8333333333333334,0.375,0.5172413793103449,40.0,18,40 +Grass walking,0.9230769230769231,0.2857142857142857,0.43636363636363634,42.0,13,42 +Uneven ground walking,0.8,0.5161290322580645,0.6274509803921569,31.0,20,31 +Carry,0.7857142857142857,0.22916666666666666,0.3548387096774194,48.0,14,48 +accuracy,0.5863808322824716,0.5863808322824716,0.5863808322824716,0.5863808322824716,0,0 +macro avg,0.7855941410131027,0.4501179720630581,0.5279491415032143,1586.0,0,0 +weighted avg,0.6804961520933548,0.5863808322824716,0.5697023098647475,1586.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc64b31298a45abb6a779ce5c611dab0ac541555 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,3099,18,37,0,50,1,6,6,11,2,31 +Sit to stand,149,369,8,63,0,0,0,0,0,0,0 +Stand to sit,187,7,481,25,0,0,0,0,0,0,0 +Sitting,36,80,70,645,0,0,0,0,0,0,0 +Stair up,17,0,0,0,337,0,0,0,0,0,0 +Stair down,25,0,0,0,0,168,0,0,0,0,0 +Ramp up,57,0,0,0,0,0,447,0,0,0,0 +Ramp down,28,0,0,0,6,0,0,438,0,0,0 +Grass walking,63,0,0,0,0,0,0,0,377,0,0 +Uneven ground walking,42,0,0,0,0,0,0,0,4,250,0 +Carry,165,0,0,0,0,0,0,0,0,0,995 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..9b57f8271a382ce703cd4608f77bb40b1e7d8d50 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_steady.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2738,0,26,0,41,0,0,1,3,0,25 +Sit to stand,66,187,1,12,0,0,0,0,0,0,0 +Stand to sit,45,1,316,4,0,0,0,0,0,0,0 +Sitting,19,36,5,565,0,0,0,0,0,0,0 +Stair up,3,0,0,0,306,0,0,0,0,0,0 +Stair down,7,0,0,0,0,159,0,0,0,0,0 +Ramp up,24,0,0,0,0,0,436,0,0,0,0 +Ramp down,13,0,0,0,0,0,0,418,0,0,0 +Grass walking,37,0,0,0,0,0,0,0,362,0,0 +Uneven ground walking,25,0,0,0,0,0,0,0,0,241,0 +Carry,132,0,0,0,0,0,0,0,0,0,985 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..5b0e9036dca31d645a7f6aa128ebaf436dbfe5f6 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_confusion_matrix_transition.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,361,18,11,0,9,1,6,5,8,2,6 +Sit to stand,83,182,7,51,0,0,0,0,0,0,0 +Stand to sit,142,6,165,21,0,0,0,0,0,0,0 +Sitting,17,44,65,80,0,0,0,0,0,0,0 +Stair up,14,0,0,0,31,0,0,0,0,0,0 +Stair down,18,0,0,0,0,9,0,0,0,0,0 +Ramp up,33,0,0,0,0,0,11,0,0,0,0 +Ramp down,15,0,0,0,6,0,0,20,0,0,0 +Grass walking,26,0,0,0,0,0,0,0,15,0,0 +Uneven ground walking,17,0,0,0,0,0,0,0,4,9,0 +Carry,33,0,0,0,0,0,0,0,0,0,10 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e0a6046b383a661481694ef06f53ff521036d27 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8011892450879007,0.9503219871205152,0.8694066488988638,3261.0,3868,3261 +Sit to stand,0.7784810126582279,0.6264855687606112,0.6942615239887112,589.0,474,589 +Stand to sit,0.8070469798657718,0.6871428571428572,0.7422839506172839,700.0,596,700 +Sitting,0.8799454297407913,0.776173285198556,0.8248081841432225,831.0,733,831 +Stair up,0.8575063613231552,0.9519774011299436,0.9022757697456493,354.0,393,354 +Stair down,0.9940828402366864,0.8704663212435233,0.9281767955801105,193.0,169,193 +Ramp up,0.9867549668874173,0.8869047619047619,0.9341692789968652,504.0,453,504 +Ramp down,0.9864864864864865,0.9279661016949152,0.9563318777292577,472.0,444,472 +Grass walking,0.9617346938775511,0.8568181818181818,0.90625,440.0,392,440 +Uneven ground walking,0.9920634920634921,0.8445945945945946,0.9124087591240876,296.0,252,296 +Carry,0.969785575048733,0.8577586206896551,0.9103385178408051,1160.0,1026,1160 +accuracy,0.8643181818181818,0.8643181818181818,0.8643181818181818,0.8643181818181818,0,0 +macro avg,0.9104615530251103,0.8396917892089195,0.8709737551513506,8800.0,0,0 +weighted avg,0.8713065538327707,0.8643181818181818,0.8630271439180998,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_steady.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_steady.csv new file mode 100644 index 0000000000000000000000000000000000000000..eafd60503c18106f91277ce47535adc26718454b --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_steady.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8806690254100997,0.9661256175017643,0.9214201581692748,2834.0,3109,2834 +Sit to stand,0.8348214285714286,0.7030075187969925,0.763265306122449,266.0,224,266 +Stand to sit,0.9080459770114943,0.8633879781420765,0.8851540616246498,366.0,348,366 +Sitting,0.9724612736660929,0.904,0.9369817578772802,625.0,581,625 +Stair up,0.8818443804034583,0.9902912621359223,0.9329268292682927,309.0,347,309 +Stair down,1.0,0.9578313253012049,0.9784615384615385,166.0,159,166 +Ramp up,1.0,0.9478260869565217,0.9732142857142857,460.0,436,460 +Ramp down,0.9976133651551312,0.9698375870069605,0.9835294117647059,431.0,419,431 +Grass walking,0.9917808219178083,0.9072681704260651,0.9476439790575916,399.0,365,399 +Uneven ground walking,1.0,0.9060150375939849,0.9506903353057199,266.0,241,266 +Carry,0.9752475247524752,0.8818263205013429,0.926187118006582,1117.0,1010,1117 +accuracy,0.9273380301146568,0.9273380301146568,0.9273380301146568,0.9273380301146568,0,0 +macro avg,0.949316708807999,0.9088560822148032,0.9272249801247611,7239.0,0,0 +weighted avg,0.9307286847161195,0.9273380301146568,0.9271635068496408,7239.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_transition.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_transition.csv new file mode 100644 index 0000000000000000000000000000000000000000..939cb0c899cd870e66730187fe3727cfcdbe8edf --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/best_model_metrics_transition.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4756258234519104,0.8454332552693209,0.6087689713322091,427.0,759,427 +Sit to stand,0.728,0.5634674922600619,0.6352530541012217,323.0,250,323 +Stand to sit,0.6653225806451613,0.4940119760479042,0.5670103092783505,334.0,248,334 +Sitting,0.5263157894736842,0.3883495145631068,0.44692737430167595,206.0,152,206 +Stair up,0.6739130434782609,0.6888888888888889,0.6813186813186813,45.0,46,45 +Stair down,0.9,0.3333333333333333,0.4864864864864865,27.0,10,27 +Ramp up,0.6470588235294118,0.25,0.36065573770491804,44.0,17,44 +Ramp down,0.8,0.4878048780487805,0.6060606060606061,41.0,25,41 +Grass walking,0.5555555555555556,0.36585365853658536,0.4411764705882353,41.0,27,41 +Uneven ground walking,0.8181818181818182,0.3,0.43902439024390244,30.0,11,30 +Carry,0.625,0.23255813953488372,0.3389830508474576,43.0,16,43 +accuracy,0.5720691864189622,0.5720691864189622,0.5720691864189622,0.5720691864189622,0,0 +macro avg,0.6740884940287093,0.44997283058935145,0.5101513756603405,1561.0,0,0 +weighted avg,0.6143305116566795,0.5720691864189622,0.5617723388395353,1561.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..f94c7213fb9e4e8b3e2e872a361c43d5e1e211c5 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.767413834658954,0.9763876111622202,0.8593792172739542,3261.0,4149,3261 +Sit to stand,0.7995169082125604,0.5619694397283531,0.6600199401794616,589.0,414,589 +Stand to sit,0.7758007117437722,0.6228571428571429,0.6909667194928685,700.0,562,700 +Sitting,0.956953642384106,0.6955475330926595,0.805574912891986,831.0,604,831 +Stair up,0.9041095890410958,0.9322033898305084,0.9179415855354659,354.0,365,354 +Stair down,0.9937888198757764,0.8290155440414507,0.903954802259887,193.0,161,193 +Ramp up,0.9907192575406032,0.8472222222222222,0.9133689839572192,504.0,431,504 +Ramp down,0.9953917050691244,0.9152542372881356,0.9536423841059603,472.0,434,472 +Grass walking,0.9947643979057592,0.8636363636363636,0.9245742092457421,440.0,382,440 +Uneven ground walking,0.9884169884169884,0.8648648648648649,0.9225225225225225,296.0,259,296 +Carry,0.9749759384023099,0.8732758620689656,0.9213278763074124,1160.0,1039,1160 +accuracy,0.8553409090909091,0.8553409090909091,0.8553409090909091,0.8553409090909091,0,0 +macro avg,0.9219865266591863,0.8165667464357168,0.8612066503429527,8800.0,0,0 +weighted avg,0.8697709350395664,0.8553409090909091,0.8525895744470309,8800.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_steady_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_steady_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..69edba9ca20da3cef54e0f1e58a9f3c6439c5826 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_steady_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.8580246913580247,0.9809456598447425,0.9153770167928877,2834.0,3240,2834 +Sit to stand,0.8119266055045872,0.6654135338345865,0.731404958677686,266.0,218,266 +Stand to sit,0.9612676056338029,0.7459016393442623,0.84,366.0,284,366 +Sitting,0.9888059701492538,0.848,0.9130060292850991,625.0,536,625 +Stair up,0.918918918918919,0.9902912621359223,0.9532710280373832,309.0,333,309 +Stair down,1.0,0.9337349397590361,0.9657320872274143,166.0,155,166 +Ramp up,1.0,0.9130434782608695,0.9545454545454546,460.0,420,460 +Ramp down,1.0,0.962877030162413,0.9810874704491725,431.0,415,431 +Grass walking,1.0,0.924812030075188,0.9609375,399.0,369,399 +Uneven ground walking,1.0,0.9210526315789473,0.958904109589041,266.0,245,266 +Carry,0.9794921875,0.8979409131602507,0.9369453526389537,1117.0,1024,1117 +accuracy,0.9218124050283188,0.9218124050283188,0.9218124050283188,0.9218124050283188,0,0 +macro avg,0.9562214526422352,0.8894557380142015,0.9192010006584629,7239.0,0,0 +weighted avg,0.9279570170965,0.9218124050283188,0.9212133375395354,7239.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_transition_epoch_50.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_transition_epoch_50.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad63a809ae0c58439d48d3b94631a6df81bdbbf2 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_0.5s/metrics_report_transition_epoch_50.csv @@ -0,0 +1,15 @@ +class,precision,recall,f1-score,support,total_predicted,total_ground_truth +Level ground walking,0.4444444444444444,0.9461358313817331,0.6047904191616766,427.0,909,427 +Sit to stand,0.7857142857142857,0.47678018575851394,0.5934489402697495,323.0,196,323 +Stand to sit,0.5863309352517986,0.4880239520958084,0.5326797385620915,334.0,278,334 +Sitting,0.7058823529411765,0.23300970873786409,0.35036496350364965,206.0,68,206 +Stair up,0.75,0.5333333333333333,0.6233766233766234,45.0,32,45 +Stair down,0.8333333333333334,0.18518518518518517,0.30303030303030304,27.0,6,27 +Ramp up,0.6363636363636364,0.1590909090909091,0.2545454545454545,44.0,11,44 +Ramp down,0.8947368421052632,0.4146341463414634,0.5666666666666667,41.0,19,41 +Grass walking,0.8461538461538461,0.2682926829268293,0.4074074074074074,41.0,13,41 +Uneven ground walking,0.7857142857142857,0.36666666666666664,0.5,30.0,14,30 +Carry,0.6666666666666666,0.23255813953488372,0.3448275862068966,43.0,15,43 +accuracy,0.547085201793722,0.547085201793722,0.547085201793722,0.547085201793722,0,0 +macro avg,0.721394602608067,0.3912464310048355,0.4619216457027744,1561.0,0,0 +weighted avg,0.6359221028828917,0.547085201793722,0.5235221789419315,1561.0,0,0 diff --git a/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_1.0s/best_model_confusion_matrix.csv b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_1.0s/best_model_confusion_matrix.csv new file mode 100644 index 0000000000000000000000000000000000000000..43f51d3016f0de72296356eb37db547b56372752 --- /dev/null +++ b/train/revalexo_cross_population/x3d_xs_adamW/20260410_202418_RevalExoDataset_video_X3D_Video/val/horizon_1.0s/best_model_confusion_matrix.csv @@ -0,0 +1,12 @@ +true_label,Level ground walking,Sit to stand,Stand to sit,Sitting,Stair up,Stair down,Ramp up,Ramp down,Grass walking,Uneven ground walking,Carry +Level ground walking,2954,41,86,4,48,2,12,10,9,11,47 +Sit to stand,145,337,23,86,0,0,0,0,0,0,0 +Stand to sit,176,11,424,83,0,0,0,0,0,0,0 +Sitting,63,125,50,593,0,0,0,0,0,0,0 +Stair up,40,0,0,0,316,0,0,2,0,0,0 +Stair down,33,0,0,0,0,168,0,0,0,0,0 +Ramp up,75,0,0,0,0,1,439,0,0,0,0 +Ramp down,28,0,0,0,9,0,0,433,0,0,0 +Grass walking,76,0,0,0,0,0,0,0,363,2,0 +Uneven ground walking,46,0,0,0,0,0,0,0,4,261,0 +Carry,192,0,0,0,0,0,0,0,0,0,972