10227739 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) 8153171 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 "most_frequent" 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 "mae" 9667 init null 9667 learning_rate 0.00875360834167998 9667 loss "deviance" 9667 max_depth 22 9667 max_features 0.7278075809550971 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.8221375381367637 9667 min_impurity_split null 9667 min_samples_leaf 18 9667 min_samples_split 6 9667 min_weight_fraction_leaf 0.23944206552134367 9667 n_estimators 106 9667 n_iter_no_change 6 9667 presort "auto" 9667 random_state 679 9667 subsample 0.5560839542117996 9667 tol 0.0012191250291964401 9667 validation_fraction 0.529491735011632 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 21376394 description https://api.openml.org/data/download/21376394/description.xml -1 21376395 predictions https://api.openml.org/data/download/21376395/predictions.arff area_under_roc_curve 0.4935186985546698 [0.493519,0.493519] average_cost 0 kappa 0 kb_relative_information_score 0.022249372717529855 mean_absolute_error 0.49372578068226614 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 0.9999448968083212 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.4968872284007868 root_relative_squared_error 1.000066568779261 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 -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score -0.00814534332391114 kb_relative_information_score 0.04370605965440949 kb_relative_information_score 0.04370605965440949 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.4933565058565468 mean_absolute_error 0.49520287998514506 mean_absolute_error 0.49520287998514506 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 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 1.0001008154578672 relative_absolute_error 0.9993240301999619 relative_absolute_error 0.9993240301999619 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 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.49640860876793297 root_mean_squared_error 0.498797114369574 root_mean_squared_error 0.498797114369574 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.000007451180824 root_relative_squared_error 1.0003008829962827 root_relative_squared_error 1.0003008829962827 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 21.6596429963829 usercpu_time_millis 17.72647799225524 usercpu_time_millis 17.310195995378308 usercpu_time_millis 17.374709001160227 usercpu_time_millis 17.476463995990343 usercpu_time_millis 17.211634003615472 usercpu_time_millis 17.40099399466999 usercpu_time_millis 17.23122400289867 usercpu_time_millis 17.27768999990076 usercpu_time_millis 17.357859993353486 usercpu_time_millis_testing 3.515543998219073 usercpu_time_millis_testing 3.0284909953479655 usercpu_time_millis_testing 3.016144997673109 usercpu_time_millis_testing 3.0333620015881024 usercpu_time_millis_testing 3.0429260004893877 usercpu_time_millis_testing 3.0162850016495213 usercpu_time_millis_testing 3.024202997039538 usercpu_time_millis_testing 3.011450004123617 usercpu_time_millis_testing 3.0202089983504266 usercpu_time_millis_testing 3.012071996636223 usercpu_time_millis_training 18.144098998163827 usercpu_time_millis_training 14.697986996907275 usercpu_time_millis_training 14.294050997705199 usercpu_time_millis_training 14.341346999572124 usercpu_time_millis_training 14.433537995500956 usercpu_time_millis_training 14.195349001965951 usercpu_time_millis_training 14.37679099763045 usercpu_time_millis_training 14.219773998775054 usercpu_time_millis_training 14.257481001550332 usercpu_time_millis_training 14.345787996717263