119 30095 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. cv {"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}} 30095 error_score NaN 30095 iid "deprecated" 30095 n_iter 5 30095 n_jobs null 30095 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]} 30095 pre_dispatch "2*n_jobs" 30095 random_state 12172 30095 refit true 30095 return_train_score false 30095 scoring null 30095 verbose 0 30095 bootstrap true 30096 ccp_alpha 0.0 30096 class_weight null 30096 criterion "gini" 30096 max_depth null 30096 max_features "auto" 30096 max_leaf_nodes null 30096 max_samples null 30096 min_impurity_decrease 0.0 30096 min_impurity_split null 30096 min_samples_leaf 1 30096 min_samples_split 2 30096 min_weight_fraction_leaf 0.0 30096 n_estimators 5 30096 n_jobs null 30096 oob_score false 30096 random_state 33003 30096 verbose 0 30096 warm_start false 30096 openml-python Sklearn_0.23.1. usercpu_time_millis_training 125.75350000000185 wall_clock_time_millis_training 125.77319145202637 usercpu_time_millis_testing 1.6673999999952116 usercpu_time_millis 127.42089999999706 wall_clock_time_millis_testing 1.6701221466064453 wall_clock_time_millis 137.77852058410645 predictive_accuracy 0.7075098814229249