benchmark/results/results_accuracy_ODTE_Galgo_2022-03-06_18:31:36_0.json

{"score_name": "accuracy", "title": "Optimized hyperparams with STree with more hand tuned hyperparams for some datasets", "model": "ODTE", "version": "0.3.2", "stratified": false, "folds": 5, "date": "2022-03-06", "time": "18:31:36", "duration": 7622.605508804321, "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": 6.3276, "leaves": 3.6638, "depth": 3.0021999999999998, "score": 0.97328, "score_std": 0.019700802014131297, "time": 0.30128767490386965, "time_std": 0.19344436334208076}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 7, \"gamma\": 0.14, \"kernel\": \"rbf\", \"max_iter\": 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