benchmark/results/results_accuracy_ODTE_Galgo_2022-02-09_18:33:58_0.json

{"score_name": "accuracy", "title": "ODTE pseudo Random Forest liblinear-trandom max_samples-sqrt", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-09", "time": "18:33:58", "duration": 16682.309161901474, "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": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 18.273600000000002, "leaves": 9.636800000000001, "depth": 6.545999999999999, "score": 0.9108800000000001, "score_std": 0.02514648285546113, "time": 0.607126784324646, "time_std": 0.1892001753430082}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", 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