benchmark/results/results_accuracy_ODTE_bart_2022-02-05_15:55:57_0.json

{"score_name": "accuracy", "title": "ODTE pseudo Random Forest linear-trandom max_samples-0.75", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-05", "time": "15:55:57", "duration": 2935.134600877762, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "bart", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}, "nodes": 18.9688, "leaves": 9.9844, "depth": 5.924800000000001, "score": 0.89168, "score_std": 0.028853727662123668, "time": 0.6792689800262451, "time_std": 0.2068118524157677}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}, 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