119 13853 Python_3.10.13. Sklearn_1.3.2. NumPy_1.26.3. SciPy_1.11.4. cv null 13853 error_score NaN 13853 n_jobs null 13853 param_grid {"classifier__max_depth": [1, 2, 3, 4, 5], "imputer__strategy": ["mean", "median"]} 13853 pre_dispatch "2*n_jobs" 13853 refit true 13853 return_train_score false 13853 scoring null 13853 verbose 0 13853 memory null 13854 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}] 13854 verbose false 13854 add_indicator false 80 copy true 80 fill_value null 80 keep_empty_features false 80 missing_values NaN 80 strategy "mean" 80 ccp_alpha 0.0 52 class_weight null 52 criterion "gini" 52 max_depth 1 52 max_features null 52 max_leaf_nodes null 52 min_impurity_decrease 0.0 52 min_samples_leaf 1 52 min_samples_split 2 52 min_weight_fraction_leaf 0.0 52 random_state 42839 52 splitter "best" 52 openml-python Sklearn_1.3.2. usercpu_time_millis_training 347.9718000000034 wall_clock_time_millis_training 348.1101989746094 usercpu_time_millis_testing 1.0271000000017239 usercpu_time_millis 348.9989000000051 wall_clock_time_millis_testing 1.0304450988769531 wall_clock_time_millis 352.949857711792