benchmark/results/results_accuracy_BaggingWodt_Galgo_2022-03-15_04:08:50_0.json

{"score_name": "accuracy", "title": "njobs=-1 and estimators 100 max_samples=0.65", "model": "BaggingWodt", "version": "-", "stratified": false, "folds": 5, "date": "2022-03-15", "time": "04:08:50", "duration": 12983.720835924149, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "Galgo", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"n_jobs": -1, "n_estimators": 100, "max_samples": 0.65}, "nodes": 43.625600000000006, "leaves": 22.312800000000003, "depth": 8.552, "score": 0.95376, "score_std": 0.01881548298609417, "time": 2.7037493228912353, "time_std": 0.2346493303811579}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": -1, "n_estimators": 100, "max_samples": 0.65}, "nodes": 3.4315999999999995, "leaves": 2.2157999999999998, "depth": 2.211, "score": 0.69, "score_std": 0.24666666666666667, "time": 0.14473772048950195, "time_std": 0.021596352095719373}, {"dataset": 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