10223805 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) 8149237 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 "friedman_mse" 9667 init null 9667 learning_rate 1.1776171410046695e-05 9667 loss "deviance" 9667 max_depth 9 9667 max_features 0.6474422560399362 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.46647002566139983 9667 min_impurity_split null 9667 min_samples_leaf 20 9667 min_samples_split 7 9667 min_weight_fraction_leaf 0.3973207926953928 9667 n_estimators 71 9667 n_iter_no_change 1394 9667 presort "auto" 9667 random_state 55215 9667 subsample 0.6298985218063743 9667 tol 0.0015498121010333278 9667 validation_fraction 0.9647937908874473 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 21368526 description https://api.openml.org/data/download/21368526/description.xml -1 21368527 predictions https://api.openml.org/data/download/21368527/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score 6.241825632229926 mean_absolute_error 0.4887999118179932 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 0.989968513913407 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.4987986259869635 root_relative_squared_error 1.0039135680908204 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 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.6687670320246343 kb_relative_information_score 0.4458446880164228 kb_relative_information_score 0.4458446880164228 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4879999055192787 mean_absolute_error 0.4919999370128526 mean_absolute_error 0.4919999370128526 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 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9892422571905898 relative_absolute_error 0.9928604614104024 relative_absolute_error 0.9928604614104024 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 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.49799604716078566 root_mean_squared_error 0.501996110026105 root_mean_squared_error 0.501996110026105 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.0032053212280079 root_relative_squared_error 1.006716233221341 root_relative_squared_error 1.006716233221341 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 58.099156001844676 usercpu_time_millis 51.500482000847114 usercpu_time_millis 51.648438995471224 usercpu_time_millis 51.76664300233824 usercpu_time_millis 51.96776500088163 usercpu_time_millis 52.14982400138979 usercpu_time_millis 51.656407998962095 usercpu_time_millis 51.43579700234113 usercpu_time_millis 50.48993500167853 usercpu_time_millis 47.594051000487525 usercpu_time_millis_testing 3.0125730008876417 usercpu_time_millis_testing 3.014237001480069 usercpu_time_millis_testing 3.0242539978644345 usercpu_time_millis_testing 3.0408670027100015 usercpu_time_millis_testing 3.0219239997677505 usercpu_time_millis_testing 3.0626070001744665 usercpu_time_millis_testing 3.010652999364538 usercpu_time_millis_testing 2.9962580010760576 usercpu_time_millis_testing 2.798796002025483 usercpu_time_millis_testing 2.785877000860637 usercpu_time_millis_training 55.086583000957035 usercpu_time_millis_training 48.486244999367045 usercpu_time_millis_training 48.62418499760679 usercpu_time_millis_training 48.72577599962824 usercpu_time_millis_training 48.94584100111388 usercpu_time_millis_training 49.08721700121532 usercpu_time_millis_training 48.64575499959756 usercpu_time_millis_training 48.439539001265075 usercpu_time_millis_training 47.69113899965305 usercpu_time_millis_training 44.80817399962689