10220782 1 Jan van Rijn 3543 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) 8146214 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": [1, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}] 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 "mean" 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 0.0012297959918572048 9667 loss "deviance" 9667 max_depth 18 9667 max_features 0.18281075803983582 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5481722698380489 9667 min_impurity_split null 9667 min_samples_leaf 12 9667 min_samples_split 5 9667 min_weight_fraction_leaf 0.10598428978590113 9667 n_estimators 201 9667 n_iter_no_change 1236 9667 presort "auto" 9667 random_state 63115 9667 subsample 0.3291331425906784 9667 tol 0.0021695041449134246 9667 validation_fraction 0.1541948529501158 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 451 irish https://www.openml.org/data/download/52563/irish.arff -1 21362480 description https://api.openml.org/data/download/21362480/description.xml -1 21362481 predictions https://api.openml.org/data/download/21362481/predictions.arff area_under_roc_curve 0.4935186985546698 [0.493519,0.493519] average_cost 0 kappa 0 kb_relative_information_score -1.0421337682115515 mean_absolute_error 0.49439319097654544 mean_prior_absolute_error 0.49375298804780854 number_of_instances 500 [278,222] predictive_accuracy 0.556 prior_entropy 0.9910046621528215 recall 0.556 [1,0] relative_absolute_error 1.0012966056798323 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.4969072139069648 root_relative_squared_error 1.0001067928692482 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 -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.1195260354509365 kb_relative_information_score -0.04296274230202973 kb_relative_information_score -0.04296274230202973 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.4940412354340182 mean_absolute_error 0.49580101314665354 mean_absolute_error 0.49580101314665354 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49330677290836705 mean_prior_absolute_error 0.49553784860557826 mean_prior_absolute_error 0.49553784860557826 number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [28,22] number_of_instances 50 [27,23] number_of_instances 50 [27,23] predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.54 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 prior_entropy 0.9910046621528215 recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.56 [1,0] recall 0.54 [1,0] recall 0.54 [1,0] relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0014888555478794 relative_absolute_error 1.0005310684982305 relative_absolute_error 1.0005310684982305 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49640490996518694 root_mean_prior_squared_error 0.49864707994207336 root_mean_prior_squared_error 0.49864707994207336 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4964947035497587 root_mean_squared_error 0.4985538421796146 root_mean_squared_error 0.4985538421796146 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 1.0001808877848894 root_relative_squared_error 0.9998130185331285 root_relative_squared_error 0.9998130185331285 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 159.54376200170373 usercpu_time_millis 153.42015599890146 usercpu_time_millis 151.77607299847296 usercpu_time_millis 152.15635799904703 usercpu_time_millis 141.26363399918773 usercpu_time_millis 140.3098669979954 usercpu_time_millis 140.2132770017488 usercpu_time_millis 140.51163300246117 usercpu_time_millis 141.37161599865067 usercpu_time_millis 140.83032899725367 usercpu_time_millis_testing 3.2461340015288442 usercpu_time_millis_testing 3.212132000044221 usercpu_time_millis_testing 3.0066020008234773 usercpu_time_millis_testing 3.0115410008875187 usercpu_time_millis_testing 2.9463060018315446 usercpu_time_millis_testing 2.769988997897599 usercpu_time_millis_testing 2.7692360017681494 usercpu_time_millis_testing 2.829155000654282 usercpu_time_millis_testing 3.050195999094285 usercpu_time_millis_testing 3.123332997347461 usercpu_time_millis_training 156.29762800017488 usercpu_time_millis_training 150.20802399885724 usercpu_time_millis_training 148.76947099764948 usercpu_time_millis_training 149.1448169981595 usercpu_time_millis_training 138.3173279973562 usercpu_time_millis_training 137.53987800009781 usercpu_time_millis_training 137.44404099998064 usercpu_time_millis_training 137.68247800180689 usercpu_time_millis_training 138.32141999955638 usercpu_time_millis_training 137.7069959999062