119 22152 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"}}} 22152 error_score NaN 22152 n_jobs null 22152 param_grid [{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}] 22152 pre_dispatch "2*n_jobs" 22152 refit true 22152 return_train_score false 22152 scoring null 22152 verbose 0 22152 bootstrap true 22153 ccp_alpha 0.0 22153 class_weight null 22153 criterion "gini" 22153 max_depth null 22153 max_features "auto" 22153 max_leaf_nodes null 22153 max_samples null 22153 min_impurity_decrease 0.0 22153 min_impurity_split null 22153 min_samples_leaf 1 22153 min_samples_split 2 22153 min_weight_fraction_leaf 0.0 22153 n_estimators 5 22153 n_jobs null 22153 oob_score false 22153 random_state 33003 22153 verbose 0 22153 warm_start false 22153 openml-python Sklearn_0.24.0. usercpu_time_millis_training 79.4081999999996 wall_clock_time_millis_training 79.41579818725586 usercpu_time_millis_testing 1.4517000000004998 usercpu_time_millis 80.8599000000001 wall_clock_time_millis_testing 1.4574527740478516 wall_clock_time_millis 89.0815258026123 predictive_accuracy 0.6956521739130435