benchmark/best/results_accuracy_ODTE_Galgo_2022-02-19_11:35:08_0.json

{"score_name": "accuracy", "title": "ODTE with max_samples 0.66 and STree with optimized hyperparameters", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-19", "time": "11:35:08", "duration": 82845.15568709373, "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, "be_hyperparams": "{\"C\": 10000.0, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.345200000000001, "leaves": 3.6726, "depth": 3.0014, "score": 0.97376, "score_std": 0.019001642034308507, "time": 2.3098192977905274, "time_std": 0.08179466516560702}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 1, "n_estimators": 100, "be_hyperparams": "{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, 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