119 14099 Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.11.4. cv null 14099 error_score NaN 14099 n_jobs null 14099 param_grid {"classifier__max_depth": [1, 2, 3, 4, 5], "imputer__strategy": ["mean", "median"]} 14099 pre_dispatch "2*n_jobs" 14099 refit true 14099 return_train_score false 14099 scoring null 14099 verbose 0 14099 memory null 9408 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"}}] 9408 verbose false 9408 add_indicator false 580 copy true 580 fill_value null 580 missing_values NaN 580 strategy "mean" 580 verbose 0 580 ccp_alpha 0.0 356 class_weight null 356 criterion "gini" 356 max_depth 1 356 max_features null 356 max_leaf_nodes null 356 min_impurity_decrease 0.0 356 min_impurity_split null 356 min_samples_leaf 1 356 min_samples_split 2 356 min_weight_fraction_leaf 0.0 356 random_state 43591 356 splitter "best" 356 openml-python Sklearn_0.24.0. usercpu_time_millis_training 284.27420000000046 wall_clock_time_millis_training 284.273624420166 usercpu_time_millis_testing 0.901100000000099 usercpu_time_millis 285.17530000000056 wall_clock_time_millis_testing 0.9033679962158203 wall_clock_time_millis 288.29216957092285