96 30944 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. memory null 30944 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"}}] 30944 verbose false 30944 n_jobs null 30945 remainder "passthrough" 30945 sparse_threshold 0.3 30945 transformer_weights null 30945 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [1, 2, 7, 10, 13, 14]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 3, 4, 5, 6, 8, 9, 11, 12]}}] 30945 verbose false 30945 memory null 30946 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"}}] 30946 verbose false 30946 add_indicator false 30947 copy true 30947 fill_value null 30947 missing_values NaN 30947 strategy "mean" 30947 verbose 0 30947 copy true 30948 with_mean true 30948 with_std true 30948 memory null 30949 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"}}] 30949 verbose false 30949 add_indicator false 30950 copy true 30950 fill_value null 30950 missing_values NaN 30950 strategy "most_frequent" 30950 verbose 0 30950 categories "auto" 30951 drop null 30951 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 30951 handle_unknown "ignore" 30951 sparse true 30951 ccp_alpha 0.0 30952 class_weight null 30952 criterion "gini" 30952 max_depth null 30952 max_features null 30952 max_leaf_nodes null 30952 min_impurity_decrease 0.0 30952 min_impurity_split null 30952 min_samples_leaf 1 30952 min_samples_split 2 30952 min_weight_fraction_leaf 0.0 30952 presort "deprecated" 30952 random_state 62501 30952 splitter "best" 30952 openml-python Sklearn_0.23.1. usercpu_time_millis_training 20.81929999999943 wall_clock_time_millis_training 20.81894874572754 usercpu_time_millis_testing 5.5456999999989876 usercpu_time_millis 26.364999999998417 wall_clock_time_millis_testing 5.5484771728515625 wall_clock_time_millis 26.3674259185791 predictive_accuracy 0.8281938325991189