165 3229 Test Test 6 Supervised Classification 14170 sklearn.pipeline.Pipeline(transform=sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD),cont=sklearn.impute._base.SimpleImputer),estimator=sklearn.ensemble._forest.RandomForestClassifier)(1) 155 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. bootstrap true 44 ccp_alpha 0.0 44 class_weight null 44 criterion "gini" 44 max_depth 10 44 max_features "sqrt" 44 max_leaf_nodes null 44 max_samples null 44 min_impurity_decrease 0.0 44 min_samples_leaf 1 44 min_samples_split 2 44 min_weight_fraction_leaf 0.0 44 n_estimators 50 44 n_jobs null 44 oob_score false 44 random_state 54088 44 verbose 0 44 warm_start false 44 add_indicator false 80 copy true 80 fill_value null 80 keep_empty_features false 80 missing_values NaN 80 strategy "median" 80 categories "auto" 118 drop null 118 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 118 feature_name_combiner "concat" 118 handle_unknown "ignore" 118 max_categories null 118 min_frequency null 118 sparse false 118 sparse_output true 118 memory null 14170 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "transform", "step_name": "transform"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 14170 verbose false 14170 n_jobs null 14171 remainder "drop" 14171 sparse_threshold 0.3 14171 transformer_weights null 14171 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cont", "step_name": "cont", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}] 14171 verbose false 14171 verbose_feature_names_out true 14171 memory null 14172 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "truncatedsvd", "step_name": "truncatedsvd"}}] 14172 verbose false 14172 algorithm "randomized" 14173 n_components 2 14173 n_iter 5 14173 n_oversamples 10 14173 power_iteration_normalizer "auto" 14173 random_state 19717 14173 tol 0.0 14173 openml-python Sklearn_1.3.2. 1 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 891 description https://test.openml.org/data/download/891/description.xml -1 892 predictions https://test.openml.org/data/download/892/predictions.arff area_under_roc_curve 0.9965249860131236 [0.998288,0.994354,0.99615,0.0,1,1] average_cost 0 f_measure 0.9359616635351931 [0.4,0.763636,0.964286,0.0,0.980392,0.969697] kappa 0.8595864609202779 kb_relative_information_score 0.8258593484215621 mean_absolute_error 0.03857401660341655 mean_prior_absolute_error 0.1410223830024713 weighted_recall 0.9425675675675675 [0.25,0.636364,0.995392,0.0,1,0.941176] number_of_instances 296 [4,33,217,0,25,17] precision 0.944079569079569 [1,0.954545,0.935065,0.0,0.961538,1] predictive_accuracy 0.9425675675675675 prior_entropy 1.3089517057560913 relative_absolute_error 0.273531164217673 root_mean_prior_squared_error 0.2709125098701948 root_mean_squared_error 0.11311387636155305 root_relative_squared_error 0.4175291735909521 total_cost 0 area_under_roc_curve 0.9965249860131236 [0.998288,0.994354,0.99615,0.0,1,1] average_cost 0 f_measure 0.9359616635351931 [0.4,0.763636,0.964286,0.0,0.980392,0.969697] kappa 0.8595864609202779 kb_relative_information_score 0.8258593484215621 mean_absolute_error 0.03857401660341655 mean_prior_absolute_error 0.1410223830024713 weighted_recall 0.9425675675675675 [0.25,0.636364,0.995392,0.0,1,0.941176] number_of_instances 296 [4,33,217,0,25,17] precision 0.944079569079569 [1,0.954545,0.935065,0.0,0.961538,1] predictive_accuracy 0.9425675675675675 prior_entropy 1.3089517057560913 relative_absolute_error 0.273531164217673 root_mean_prior_squared_error 0.2709125098701948 root_mean_squared_error 0.11311387636155305 root_relative_squared_error 0.4175291735909521 total_cost 0 usercpu_time_millis 527.6545999999983 usercpu_time_millis_testing 14.743000000002837 usercpu_time_millis_training 512.9115999999954 wall_clock_time_millis 171.62251472473145 wall_clock_time_millis_training 156.8765640258789 wall_clock_time_millis_testing 14.745950698852539