10560772 869 Pieter Gijsbers 146822 Supervised Classification 18995 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1) 8277066 Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth 1 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 31861 18820 splitter "best" 18820 memory null 18995 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18995 verbose false 18995 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 openml-python Sklearn_0.24.2. 40984 segment https://www.openml.org/data/download/18151937/phpyM5ND4 -1 22047650 description https://api.openml.org/data/download/22047650/description.xml -1 22047651 predictions https://api.openml.org/data/download/22047651/predictions.arff area_under_roc_curve 0.6427849927849927 [0.583586,0.999747,0.581818,0.583586,0.583586,0.583586,0.583586] average_cost 0 kappa 0.16666666666666666 kb_relative_information_score 0.21068950932567942 mean_absolute_error 0.20410224695939194 mean_prior_absolute_error 0.24489795918366916 weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] number_of_instances 2310 [330,330,330,330,330,330,330] predictive_accuracy 0.28571428571428575 prior_entropy 2.8073549220577525 relative_absolute_error 0.8334175084175318 root_mean_prior_squared_error 0.3499271061118795 root_mean_squared_error 0.3195511952703068 root_relative_squared_error 0.9131936042935158 total_cost 0 unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] area_under_roc_curve 0.6421356421356422 [0.585859,0.997475,0.568182,0.585859,0.585859,0.585859,0.585859] area_under_roc_curve 0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kappa 0.16666666666666666 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.2107580961471994 kb_relative_information_score 0.21007222793214833 kb_relative_information_score 0.2107580961471994 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.20408163265306162 mean_absolute_error 0.2042877757163475 mean_absolute_error 0.20408163265306162 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 mean_prior_absolute_error 0.24489795918367424 number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] number_of_instances 231 [33,33,33,33,33,33,33] predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 prior_entropy 2.8073549220575935 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.8333333333333323 relative_absolute_error 0.834175084175083 relative_absolute_error 0.8333333333333323 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_prior_squared_error 0.34992710611188316 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.31943828249997025 root_mean_squared_error 0.3205656205023108 root_mean_squared_error 0.31943828249997025 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9128709291752761 root_relative_squared_error 0.9160925658608895 root_relative_squared_error 0.9128709291752761 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] unweighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 10.00070571899414 wall_clock_time_millis 9.999990463256836 wall_clock_time_millis 10.999202728271484 wall_clock_time_millis 10.000467300415039 wall_clock_time_millis 10.000228881835938 wall_clock_time_millis 10.417699813842773 wall_clock_time_millis 11.000871658325195 wall_clock_time_millis 10.00070571899414 wall_clock_time_millis 9.999513626098633 wall_clock_time_millis 9.999752044677734 wall_clock_time_millis_testing 2.002716064453125 wall_clock_time_millis_testing 2.0029544830322266 wall_clock_time_millis_testing 2.0024776458740234 wall_clock_time_millis_testing 2.0036697387695312 wall_clock_time_millis_testing 2.0034313201904297 wall_clock_time_millis_testing 1.514434814453125 wall_clock_time_millis_testing 2.0029544830322266 wall_clock_time_millis_testing 2.003908157348633 wall_clock_time_millis_testing 2.002716064453125 wall_clock_time_millis_testing 2.0003318786621094 wall_clock_time_millis_training 7.997989654541016 wall_clock_time_millis_training 7.997035980224609 wall_clock_time_millis_training 8.996725082397461 wall_clock_time_millis_training 7.996797561645508 wall_clock_time_millis_training 7.996797561645508 wall_clock_time_millis_training 8.903264999389648 wall_clock_time_millis_training 8.997917175292969 wall_clock_time_millis_training 7.996797561645508 wall_clock_time_millis_training 7.996797561645508 wall_clock_time_millis_training 7.999420166015625 weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0] weighted_recall 0.2857142857142857 [1,1,0,0,0,0,0]