10218736 1 Jan van Rijn 3913 Supervised Classification 9666 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4) 8144168 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "median" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "mse" 9667 init null 9667 learning_rate 9.583466449603216e-05 9667 loss "deviance" 9667 max_depth 13 9667 max_features 0.6029530847528906 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.2702056065488109 9667 min_impurity_split null 9667 min_samples_leaf 9 9667 min_samples_split 16 9667 min_weight_fraction_leaf 0.4099927875237743 9667 n_estimators 576 9667 n_iter_no_change 878 9667 presort "auto" 9667 random_state 4716 9667 subsample 0.016649025844520216 9667 tol 2.6434979390614976e-05 9667 validation_fraction 0.2497122765297165 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1063 kc2 https://www.openml.org/data/download/53946/kc2.arff -1 21358388 description https://api.openml.org/data/download/21358388/description.xml -1 21358389 predictions https://api.openml.org/data/download/21358389/predictions.arff area_under_roc_curve 0.48961828622902825 [0.489618,0.489618] average_cost 0 kappa 0 kb_relative_information_score -34.68680769576954 mean_absolute_error 0.33378324424700767 mean_prior_absolute_error 0.3265917931619429 number_of_instances 522 [415,107] predictive_accuracy 0.7950191570881227 prior_entropy 0.7339749614986164 recall 0.7950191570881227 [1,0] relative_absolute_error 1.0220196931938788 root_mean_prior_squared_error 0.40368919342550386 root_mean_squared_error 0.40396096701354467 root_relative_squared_error 1.0006732248285735 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score -1.4483386533378941 kb_relative_information_score -1.4483386533378941 kb_relative_information_score -4.638430600089968 kb_relative_information_score -4.638430600089968 kb_relative_information_score -4.638430600089968 kb_relative_information_score -3.5749677177647756 kb_relative_information_score -3.5749677177647756 kb_relative_information_score -3.5749677177647756 kb_relative_information_score -3.5749677177647756 kb_relative_information_score -3.5749677177647756 mean_absolute_error 0.33100002500060244 mean_absolute_error 0.33100002500060244 mean_absolute_error 0.32884954663926563 mean_absolute_error 0.32884954663926563 mean_absolute_error 0.32884954663926563 mean_absolute_error 0.33787815988903197 mean_absolute_error 0.33787815988903197 mean_absolute_error 0.33787815988903197 mean_absolute_error 0.33787815988903197 mean_absolute_error 0.33787815988903197 mean_prior_absolute_error 0.32810024485092887 mean_prior_absolute_error 0.32810024485092887 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 number_of_instances 53 [42,11] number_of_instances 53 [42,11] number_of_instances 52 [42,10] number_of_instances 52 [42,10] number_of_instances 52 [42,10] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] predictive_accuracy 0.7924528301886792 predictive_accuracy 0.7924528301886792 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7884615384615384 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 recall 0.7924528301886793 [1,0] recall 0.7924528301886793 [1,0] recall 0.8076923076923077 [1,0] recall 0.8076923076923077 [1,0] recall 0.8076923076923077 [1,0] recall 0.7884615384615384 [1,0] recall 0.7884615384615384 [1,0] recall 0.7884615384615384 [1,0] recall 0.7884615384615384 [1,0] recall 0.7884615384615384 [1,0] relative_absolute_error 1.0088380920013975 relative_absolute_error 1.0088380920013975 relative_absolute_error 1.0304154147684814 relative_absolute_error 1.0304154147684814 relative_absolute_error 1.0304154147684814 relative_absolute_error 1.0224904598685414 relative_absolute_error 1.0224904598685414 relative_absolute_error 1.0224904598685414 relative_absolute_error 1.0224904598685414 relative_absolute_error 1.0224904598685414 root_mean_prior_squared_error 0.4055532228666397 root_mean_prior_squared_error 0.4055532228666397 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_squared_error 0.4055659183664669 root_mean_squared_error 0.4055659183664669 root_mean_squared_error 0.395221451249503 root_mean_squared_error 0.395221451249503 root_mean_squared_error 0.395221451249503 root_mean_squared_error 0.4084671939430001 root_mean_squared_error 0.4084671939430001 root_mean_squared_error 0.4084671939430001 root_mean_squared_error 0.4084671939430001 root_mean_squared_error 0.4084671939430001 root_relative_squared_error 1.000031304152233 root_relative_squared_error 1.000031304152233 root_relative_squared_error 1.0021971510688952 root_relative_squared_error 1.0021971510688952 root_relative_squared_error 1.0021971510688952 root_relative_squared_error 1.0000779420588553 root_relative_squared_error 1.0000779420588553 root_relative_squared_error 1.0000779420588553 root_relative_squared_error 1.0000779420588553 root_relative_squared_error 1.0000779420588553 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 usercpu_time_millis 283.2354269994539 usercpu_time_millis 277.7634849990136 usercpu_time_millis 260.44029600234353 usercpu_time_millis 256.816790002631 usercpu_time_millis 256.1011529978714 usercpu_time_millis 256.1937589998706 usercpu_time_millis 256.1217039983603 usercpu_time_millis 257.71950199850835 usercpu_time_millis 256.5456530028314 usercpu_time_millis 255.7695989999047 usercpu_time_millis_testing 1.0452679998707026 usercpu_time_millis_testing 0.9573329989507329 usercpu_time_millis_testing 0.9140750007645693 usercpu_time_millis_testing 1.0269390004395973 usercpu_time_millis_testing 0.9382669995829929 usercpu_time_millis_testing 0.8827380006550811 usercpu_time_millis_testing 0.9355619986308739 usercpu_time_millis_testing 0.9739649976836517 usercpu_time_millis_testing 0.8987750006781425 usercpu_time_millis_testing 0.9023120001074858 usercpu_time_millis_training 282.1901589995832 usercpu_time_millis_training 276.80615200006287 usercpu_time_millis_training 259.52622100157896 usercpu_time_millis_training 255.78985100219143 usercpu_time_millis_training 255.1628859982884 usercpu_time_millis_training 255.31102099921554 usercpu_time_millis_training 255.18614199972944 usercpu_time_millis_training 256.7455370008247 usercpu_time_millis_training 255.64687800215324 usercpu_time_millis_training 254.86728699979722