119 30520 Python_3.8.18. Sklearn_0.24.0. NumPy_1.24.4. 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"}}} 30520 error_score NaN 30520 n_iter 5 30520 n_jobs null 30520 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]} 30520 pre_dispatch "2*n_jobs" 30520 random_state 12172 30520 refit true 30520 return_train_score false 30520 scoring null 30520 verbose 0 30520 bootstrap true 30524 ccp_alpha 0.0 30524 class_weight null 30524 criterion "gini" 30524 max_depth null 30524 max_features "auto" 30524 max_leaf_nodes null 30524 max_samples null 30524 min_impurity_decrease 0.0 30524 min_impurity_split null 30524 min_samples_leaf 1 30524 min_samples_split 2 30524 min_weight_fraction_leaf 0.0 30524 n_estimators 5 30524 n_jobs null 30524 oob_score false 30524 random_state 33003 30524 verbose 0 30524 warm_start false 30524 openml-python Sklearn_0.24.0. usercpu_time_millis_training 102.46460000000468 wall_clock_time_millis_training 102.47564315795898 usercpu_time_millis_testing 1.532099999998593 usercpu_time_millis 103.99670000000327 wall_clock_time_millis_testing 1.5628337860107422 wall_clock_time_millis 114.93444442749023 predictive_accuracy 0.7075098814229249