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Upload best_params.json with huggingface_hub

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  1. best_params.json +25 -25
best_params.json CHANGED
@@ -2,42 +2,42 @@
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  "xgb": {
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  "best_params": {
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  "max_depth": 8,
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- "reg_alpha": 3.1450242093749194e-07,
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- "reg_lambda": 4.0906316452716056e-07
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  },
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  "test_metrics": {
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  "split": "tuned_xgb_test",
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- "log_loss": 0.13818177209103494,
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- "brier_score": 0.04306421056389809,
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- "top1_accuracy": 0.48936170212765956,
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  "top3_accuracy": 0.8723404255319149,
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- "top5_accuracy": 0.9574468085106383,
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  "n_races": 47
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  }
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  },
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  "lgbm": {
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  "best_params": {
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  "max_depth": 8,
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- "learning_rate": 0.047882620271345655,
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- "min_child_weight": 0.13695496940226626,
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- "reg_alpha": 1.704243989818299e-07,
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- "reg_lambda": 8.621335622493031e-05,
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- "num_leaves": 35
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  },
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  "test_metrics": {
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  "split": "tuned_lgbm_test",
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- "log_loss": 0.1297009062504712,
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  "top1_accuracy": 0.46808510638297873,
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  "top3_accuracy": 0.8723404255319149,
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  "n_races": 47
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  }
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  },
@@ -46,11 +46,11 @@
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  "lgbm_weight": 0.9,
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  "test_metrics": {
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  "split": "ensemble_test",
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- "top1_accuracy": 0.48936170212765956,
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  "top3_accuracy": 0.8723404255319149,
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- "top5_accuracy": 0.9574468085106383,
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  "n_races": 47
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  }
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  }
 
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  "xgb": {
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  "best_params": {
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  "test_metrics": {
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  "split": "tuned_xgb_test",
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  "n_races": 47
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  }
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  },
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  "lgbm": {
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  "best_params": {
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  "max_depth": 8,
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  "top3_accuracy": 0.8723404255319149,
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  },
 
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  "lgbm_weight": 0.9,
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  "test_metrics": {
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  "split": "ensemble_test",
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+ "log_loss": 0.12855556335135354,
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  }
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  }