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f1-race-predictor-model

Joblib
English
xgboost
lightgbm
sports-prediction
formula1
tabular
classification
ensemble
optuna
Model card Files
xet
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f1-race-predictor-model

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  1. Create README.md

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  3. Delete README_orbital-chaos-predictor.md

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  1. Fix: update feature_metadata.json to 21 features

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  2. Fix: training dataset with all 21 features

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  3. Live update: lap 57

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  4. Live update: lap 57

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  16. Upload best_params.json with huggingface_hub

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  17. Upload ensemble_config.joblib with huggingface_hub

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  18. Upload race_winner_lgbm_tuned.joblib with huggingface_hub

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  19. Upload race_winner_xgb_tuned.joblib with huggingface_hub

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  20. Upload runpod_tune.py with huggingface_hub

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  1. Upload best_params.json with huggingface_hub

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  2. Upload race_winner_xgb_tuned.joblib with huggingface_hub

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  3. Upload data/training_dataset.parquet with huggingface_hub

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  5. Upload data/drivers_lookup.parquet with huggingface_hub

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  6. Upload data/races_lookup.parquet with huggingface_hub

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  7. Upload feature_metadata.json with huggingface_hub

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  8. Upload metrics.json with huggingface_hub

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  9. Upload race_winner_lgbm.joblib with huggingface_hub

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  11. initial commit

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