benchmark/results/results_accuracy_ODTE_Galgo_2022-02-16_12:32:37_0.json

{"score_name": "accuracy", "title": "ODTE with STree optimized hyperparameters and max_features and max_samples", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-16", "time": "12:32:37", "duration": 50234.688391685486, "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_samples": 0.66, "max_features": "auto", "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": 12.773059430122375, "time_std": 0.506488682369837}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 1, "max_samples": 0.66, "max_features": "auto", 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