benchmark/results/results_accuracy_ODTE_Galgo_2022-02-20_11:40:58_0.json

{"score_name": "accuracy", "title": "ODTE with max_features auto and max_samples 0.66 and STree with optimized hyperparameters", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-20", "time": "11:40:58", "duration": 50266.1282222271, "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, "max_features": "auto", "max_samples": 0.66, "n_estimators": 100, "be_hyperparams": "{\"C\": 10000.0, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.314, "leaves": 3.6570000000000005, "depth": 3.4539999999999997, "score": 0.7766400000000001, "score_std": 0.06937139468109316, "time": 12.776094985008239, "time_std": 0.508406668601986}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 1, "max_features": "auto", "max_samples": 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