Upload best_params.json with huggingface_hub
Browse files- best_params.json +28 -28
best_params.json
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@@ -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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"learning_rate": 0.
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"subsample": 0.
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"colsample_bytree": 0.
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"min_child_weight":
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"gamma": 0.
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"reg_alpha": 0.
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"reg_lambda": 0.
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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.
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"brier_score": 0.
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"top1_accuracy": 0.
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"top3_accuracy": 0.8723404255319149,
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"top5_accuracy": 0.
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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.
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"subsample": 0.
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"colsample_bytree": 0.
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"min_child_weight": 0.
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"reg_alpha":
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"reg_lambda":
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"num_leaves":
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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.
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"brier_score": 0.
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"top1_accuracy": 0.
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"top3_accuracy": 0.
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"top5_accuracy": 0.
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"n_races": 47
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}
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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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"log_loss": 0.
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"brier_score": 0.
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"top1_accuracy": 0.
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"top3_accuracy": 0.
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"top5_accuracy": 0.
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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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"max_depth": 8,
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"learning_rate": 0.10165882934834543,
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"subsample": 0.7384160265157115,
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"colsample_bytree": 0.7241443389313614,
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"min_child_weight": 2,
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"gamma": 0.12988385119517248,
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"reg_alpha": 0.01984432763410783,
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"reg_lambda": 0.00133684194962279
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},
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"test_metrics": {
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"split": "tuned_xgb_test",
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"log_loss": 0.13899790355845834,
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"brier_score": 0.04306582361459732,
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"top1_accuracy": 0.5106382978723404,
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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": 0.06606334249359307,
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"subsample": 0.7796649584907069,
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"colsample_bytree": 0.5160748956645218,
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"min_child_weight": 0.3248673003950528,
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"reg_alpha": 0.002237839222861818,
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"reg_lambda": 1.1797175210959981e-07,
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"num_leaves": 27
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},
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"test_metrics": {
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"split": "tuned_lgbm_test",
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"log_loss": 0.14000301132728343,
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"brier_score": 0.04051322357933446,
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"top1_accuracy": 0.5319148936170213,
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"top3_accuracy": 0.851063829787234,
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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_weight": 0.9,
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"test_metrics": {
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"split": "ensemble_test",
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"log_loss": 0.1367655294085837,
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"brier_score": 0.039739857332776386,
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"top1_accuracy": 0.5319148936170213,
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"top3_accuracy": 0.851063829787234,
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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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