96 30019 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. memory null 30019 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"}}] 30019 verbose false 30019 n_jobs null 30020 remainder "passthrough" 30020 sparse_threshold 0.3 30020 transformer_weights null 30020 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]}}] 30020 verbose false 30020 memory null 30021 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"}}] 30021 verbose false 30021 add_indicator false 30022 copy true 30022 fill_value null 30022 missing_values NaN 30022 strategy "mean" 30022 verbose 0 30022 copy true 30023 with_mean true 30023 with_std true 30023 memory null 30024 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"}}] 30024 verbose false 30024 add_indicator false 30025 copy true 30025 fill_value null 30025 missing_values NaN 30025 strategy "most_frequent" 30025 verbose 0 30025 categories "auto" 30026 drop null 30026 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 30026 handle_unknown "ignore" 30026 sparse true 30026 ccp_alpha 0.0 30027 class_weight null 30027 criterion "gini" 30027 max_depth null 30027 max_features null 30027 max_leaf_nodes null 30027 min_impurity_decrease 0.0 30027 min_impurity_split null 30027 min_samples_leaf 1 30027 min_samples_split 2 30027 min_weight_fraction_leaf 0.0 30027 presort "deprecated" 30027 random_state 62501 30027 splitter "best" 30027 openml-python Sklearn_0.23.1. usercpu_time_millis_training 20.701999999999998 wall_clock_time_millis_training 20.701169967651367 usercpu_time_millis_testing 5.647599999999642 usercpu_time_millis 26.34959999999964 wall_clock_time_millis_testing 5.650520324707031 wall_clock_time_millis 26.3516902923584 predictive_accuracy 0.8281938325991189