119 23812 Python_3.8.18. Sklearn_0.22.2. 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"}}} 23812 error_score NaN 23812 iid "deprecated" 23812 n_iter 5 23812 n_jobs null 23812 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]} 23812 pre_dispatch "2*n_jobs" 23812 random_state 12172 23812 refit true 23812 return_train_score false 23812 scoring null 23812 verbose 0 23812 bootstrap true 23813 ccp_alpha 0.0 23813 class_weight null 23813 criterion "gini" 23813 max_depth null 23813 max_features "auto" 23813 max_leaf_nodes null 23813 max_samples null 23813 min_impurity_decrease 0.0 23813 min_impurity_split null 23813 min_samples_leaf 1 23813 min_samples_split 2 23813 min_weight_fraction_leaf 0.0 23813 n_estimators 5 23813 n_jobs null 23813 oob_score false 23813 random_state 33003 23813 verbose 0 23813 warm_start false 23813 openml-python Sklearn_0.22.2. usercpu_time_millis_training 79.38400000000101 wall_clock_time_millis_training 79.38313484191895 usercpu_time_millis_testing 0.7444999999997037 usercpu_time_millis 80.12850000000071 wall_clock_time_millis_testing 0.7469654083251953 wall_clock_time_millis 87.63599395751953 predictive_accuracy 0.7075098814229249