119 35412 Python_3.9.13. Sklearn_0.24.2. 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"}}} 35412 error_score NaN 35412 n_jobs null 35412 param_grid [{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}] 35412 pre_dispatch "2*n_jobs" 35412 refit true 35412 return_train_score false 35412 scoring null 35412 verbose 0 35412 bootstrap true 35413 ccp_alpha 0.0 35413 class_weight null 35413 criterion "gini" 35413 max_depth null 35413 max_features "auto" 35413 max_leaf_nodes null 35413 max_samples null 35413 min_impurity_decrease 0.0 35413 min_impurity_split null 35413 min_samples_leaf 1 35413 min_samples_split 2 35413 min_weight_fraction_leaf 0.0 35413 n_estimators 5 35413 n_jobs null 35413 oob_score false 35413 random_state 33003 35413 verbose 0 35413 warm_start false 35413 openml-python Sklearn_0.24.2. usercpu_time_millis_training 78.125 wall_clock_time_millis_training 78.12666893005371 usercpu_time_millis_testing 0.0 usercpu_time_millis 78.125 wall_clock_time_millis_testing 0.0 wall_clock_time_millis 78.12666893005371 predictive_accuracy 0.6956521739130435