11 13976 Python_3.8.18. Sklearn_0.22.2. NumPy_1.23.5. SciPy_1.10.1. memory null 13976 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "enc", "step_name": "enc"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rs", "step_name": "rs"}}] 13976 verbose false 13976 categories "auto" 13897 drop null 13897 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 13897 handle_unknown "ignore" 13897 sparse true 13897 cv {"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}} 13977 error_score NaN 13977 iid "deprecated" 13977 n_iter 2 13977 n_jobs null 13977 param_distributions {"bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [3, null], "max_features": [1, 2, 3, 4], "min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10]} 13977 pre_dispatch "2*n_jobs" 13977 random_state 12172 13977 refit true 13977 return_train_score false 13977 scoring null 13977 verbose 0 13977 bootstrap true 497 ccp_alpha 0.0 497 class_weight null 497 criterion "gini" 497 max_depth null 497 max_features "auto" 497 max_leaf_nodes null 497 max_samples null 497 min_impurity_decrease 0.0 497 min_impurity_split null 497 min_samples_leaf 1 497 min_samples_split 2 497 min_weight_fraction_leaf 0.0 497 n_estimators 5 497 n_jobs null 497 oob_score false 497 random_state 33003 497 verbose 0 497 warm_start false 497 openml-python Sklearn_0.22.2. usercpu_time_millis_training 85.98729999999932 wall_clock_time_millis_training 86.16447448730469 usercpu_time_millis_testing 13.151499999999317 usercpu_time_millis 99.13879999999864 wall_clock_time_millis_testing 13.17739486694336 wall_clock_time_millis 99.34186935424805 predictive_accuracy 0.9032258064516129