119 25893 Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.10.0. cv {"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}} 25893 error_score NaN 25893 n_jobs null 25893 param_grid [{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}] 25893 pre_dispatch "2*n_jobs" 25893 refit true 25893 return_train_score false 25893 scoring null 25893 verbose 0 25893 bootstrap true 25895 ccp_alpha 0.0 25895 class_weight null 25895 criterion "gini" 25895 max_depth null 25895 max_features "auto" 25895 max_leaf_nodes null 25895 max_samples null 25895 min_impurity_decrease 0.0 25895 min_impurity_split null 25895 min_samples_leaf 1 25895 min_samples_split 2 25895 min_weight_fraction_leaf 0.0 25895 n_estimators 5 25895 n_jobs null 25895 oob_score false 25895 random_state 33003 25895 verbose 0 25895 warm_start false 25895 openml-python Sklearn_0.24.0. usercpu_time_millis_training 81.33610000000147 wall_clock_time_millis_training 81.33673667907715 usercpu_time_millis_testing 1.294999999998936 usercpu_time_millis 82.6311000000004 wall_clock_time_millis_testing 1.2969970703125 wall_clock_time_millis 90.99888801574707 predictive_accuracy 0.6956521739130435