benchmark/results/results_accuracy_BaggingStree_bart_2022-03-01_11:51:41_0.json

{"score_name": "accuracy", "title": "BaggingStree with max_features 0.75/max_samples 0.66 and optimized hyperparameters", "model": "BaggingStree", "version": "-", "stratified": false, "folds": 5, "date": "2022-03-01", "time": "11:51:41", "duration": 5481.495279073715, "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": 0.75, "max_samples": 0.66, "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": 7.5768, "leaves": 4.2884, "depth": 3.7804, "score": 0.87456, "score_std": 0.03342583432017818, "time": 1.0953605937957764, "time_std": 0.2137038930246303}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_estimators": 100, "n_jobs": -1, 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