96 20799 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. memory null 20799 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"}}] 20799 verbose false 20799 n_jobs null 20801 remainder "passthrough" 20801 sparse_threshold 0.3 20801 transformer_weights null 20801 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]}}] 20801 verbose false 20801 memory null 20802 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"}}] 20802 verbose false 20802 add_indicator false 20803 copy true 20803 fill_value null 20803 missing_values NaN 20803 strategy "mean" 20803 verbose 0 20803 copy true 20804 with_mean true 20804 with_std true 20804 memory null 20805 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"}}] 20805 verbose false 20805 add_indicator false 20806 copy true 20806 fill_value null 20806 missing_values NaN 20806 strategy "most_frequent" 20806 verbose 0 20806 categories "auto" 20807 drop null 20807 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 20807 handle_unknown "ignore" 20807 sparse true 20807 ccp_alpha 0.0 20809 class_weight null 20809 criterion "gini" 20809 max_depth null 20809 max_features null 20809 max_leaf_nodes null 20809 min_impurity_decrease 0.0 20809 min_impurity_split null 20809 min_samples_leaf 1 20809 min_samples_split 2 20809 min_weight_fraction_leaf 0.0 20809 presort "deprecated" 20809 random_state 62501 20809 splitter "best" 20809 openml-python Sklearn_0.23.1. usercpu_time_millis_training 20.9243999999984 wall_clock_time_millis_training 20.925521850585938 usercpu_time_millis_testing 5.634000000000583 usercpu_time_millis 26.558399999998983 wall_clock_time_millis_testing 5.637645721435547 wall_clock_time_millis 26.563167572021484 predictive_accuracy 0.8281938325991189