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Upload best_params.json with huggingface_hub

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  1. best_params.json +28 -28
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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- "learning_rate": 0.06896078765688676,
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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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  },
@@ -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": 0.12855556335135354,
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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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  "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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  },
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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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  "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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  "test_metrics": {
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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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  "n_races": 47
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  }