119 34880 Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.10.0. memory null 34880 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "transformer", "step_name": "transformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}] 34880 verbose false 34880 n_jobs null 34881 remainder "passthrough" 34881 sparse_threshold 0.3 34881 transformer_weights null 34881 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 34881 verbose false 34881 memory null 34882 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 34882 verbose false 34882 add_indicator false 34883 copy true 34883 fill_value null 34883 missing_values NaN 34883 strategy "mean" 34883 verbose 0 34883 copy true 34884 with_mean true 34884 with_std true 34884 memory null 34885 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "customimputer", "step_name": "customimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 34885 verbose false 34885 add_indicator false 34886 copy true 34886 fill_value null 34886 missing_values NaN 34886 strategy "most_frequent" 34886 verbose 0 34886 categories "auto" 34887 drop null 34887 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 34887 handle_unknown "ignore" 34887 sparse true 34887 ccp_alpha 0.0 34888 class_weight null 34888 criterion "gini" 34888 max_depth null 34888 max_features null 34888 max_leaf_nodes null 34888 min_impurity_decrease 0.0 34888 min_impurity_split null 34888 min_samples_leaf 1 34888 min_samples_split 2 34888 min_weight_fraction_leaf 0.0 34888 random_state 62501 34888 splitter "best" 34888 openml-python Sklearn_0.24.0. usercpu_time_millis_training 5.627500000002783 wall_clock_time_millis_training 5.62739372253418 usercpu_time_millis_testing 1.441800000002047 usercpu_time_millis 7.06930000000483 wall_clock_time_millis_testing 1.444101333618164 wall_clock_time_millis 7.071495056152344 predictive_accuracy 0.7233201581027668