benchmark/results/results_accuracy_BaggingStree_bart_2022-02-24_10:37:56_0.json

{"score_name": "accuracy", "title": "BaggingStree with n_jobs -1 and max_features 0.4 and optimized hyperparameters", "model": "BaggingStree", "version": "-", "stratified": false, "folds": 5, "date": "2022-02-24", "time": "10:37:56", "duration": 6949.371150016785, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "bart", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"n_estimators": 100, "n_jobs": -1, "max_features": 0.4, "base_estimator__C": 10000.0, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.2272, "leaves": 1.1136, "depth": 1.1136, "score": 0.43567999999999996, "score_std": 0.05172753232080572, "time": 0.5162794589996338, "time_std": 0.2150450900832456}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_estimators": 100, "n_jobs": -1, "max_features": 0.4, 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