Download model_metadata.json from yahyaelkaed/workload_prediction: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/yahyaelkaed/workload_prediction/resolve/main/model_metadata.json
- Command line
-
hf download hf://yahyaelkaed/workload_prediction/model_metadata.json
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curl -L -o model_metadata.json https://huggingface.co/yahyaelkaed/workload_prediction/resolve/main/model_metadata.json
589 Bytes
| { | |
| "model_type": "RandomForestRegressor", | |
| "r2_score": 0.9447246710488186, | |
| "mae": 2.261342173455451, | |
| "rmse": 2.8729894737870474, | |
| "n_features": 8, | |
| "features": [ | |
| "tasks_completed_last_week", | |
| "patient_activity_level", | |
| "num_alerts_last_week", | |
| "cognitive_score", | |
| "sleep_hours_avg", | |
| "alert_cognition_interaction", | |
| "activity_sleep_ratio", | |
| "cognitive_activity_ratio" | |
| ], | |
| "training_samples": 1468, | |
| "test_samples": 368, | |
| "export_timestamp": "2026-05-01T17:46:54.241418", | |
| "numpy_version": "1.24.4", | |
| "sklearn_version": "1.4.0" | |
| } |