Upload best_params.json with huggingface_hub
Browse files- best_params.json +25 -25
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":
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"reg_lambda":
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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": 0.46808510638297873,
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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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@@ -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": 0.8723404255319149,
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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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"xgb": {
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"best_params": {
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"max_depth": 8,
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"learning_rate": 0.06896078765688676,
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"subsample": 0.8819288331905761,
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"colsample_bytree": 0.54827760444062,
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"min_child_weight": 1,
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"gamma": 0.08734391156026894,
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"reg_alpha": 0.018646997708812164,
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"reg_lambda": 0.011473629461823369
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},
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"test_metrics": {
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"split": "tuned_xgb_test",
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"log_loss": 0.13687716863494837,
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"brier_score": 0.04244878143072128,
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"top1_accuracy": 0.40425531914893614,
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"top3_accuracy": 0.8723404255319149,
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"top5_accuracy": 0.9787234042553191,
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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": 0.03495407474887014,
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"subsample": 0.8847454933649307,
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"colsample_bytree": 0.7024989921196825,
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"min_child_weight": 0.21475962083924974,
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"reg_alpha": 3.812113573259732e-06,
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"reg_lambda": 0.000902709540086821,
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"num_leaves": 43
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},
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"test_metrics": {
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"split": "tuned_lgbm_test",
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"log_loss": 0.13025649546991058,
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"brier_score": 0.03647521171219889,
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"top1_accuracy": 0.46808510638297873,
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"top3_accuracy": 0.8723404255319149,
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"top5_accuracy": 0.9361702127659575,
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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": 0.12855556335135354,
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"brier_score": 0.036401387107997424,
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"top1_accuracy": 0.46808510638297873,
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"top3_accuracy": 0.8723404255319149,
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"top5_accuracy": 0.9361702127659575,
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"n_races": 47
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}
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}
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