10219815 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) 8145247 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 "mse" 9667 init null 9667 learning_rate 8.361359889617617e-05 9667 loss "deviance" 9667 max_depth 27 9667 max_features 0.022671443273852177 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.1304475281161347 9667 min_impurity_split null 9667 min_samples_leaf 16 9667 min_samples_split 13 9667 min_weight_fraction_leaf 0.11593958399529464 9667 n_estimators 937 9667 n_iter_no_change 1423 9667 presort "auto" 9667 random_state 31670 9667 subsample 0.6865645467983765 9667 tol 0.05292373115989997 9667 validation_fraction 0.7275963004932697 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 21360546 description https://api.openml.org/data/download/21360546/description.xml -1 21360547 predictions https://api.openml.org/data/download/21360547/predictions.arff area_under_roc_curve 0.843120098515782 [0.84312,0.84312] average_cost 0 kappa 0 kb_relative_information_score -6.766514997595002 mean_absolute_error 0.498048490014527 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 1.008699698170338 root_mean_prior_squared_error 0.49685415342632255 root_mean_squared_error 0.49811699060894815 root_relative_squared_error 1.0025416657462096 total_cost 0 area_under_roc_curve 0.9707792207792206 [0.970779,0.970779] area_under_roc_curve 0.9196428571428572 [0.919643,0.919643] area_under_roc_curve 0.9634740259740261 [0.963474,0.963474] area_under_roc_curve 0.7727272727272728 [0.772727,0.772727] area_under_roc_curve 0.8863636363636362 [0.886364,0.886364] area_under_roc_curve 0.8409090909090909 [0.840909,0.840909] area_under_roc_curve 0.7954545454545454 [0.795455,0.795455] area_under_roc_curve 0.9545454545454546 [0.954545,0.954545] area_under_roc_curve 0.8913043478260869 [0.891304,0.891304] area_under_roc_curve 0.8478260869565217 [0.847826,0.847826] 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 -0.6870924896838521 kb_relative_information_score -0.7369286397960986 kb_relative_information_score -0.7355771565462054 kb_relative_information_score -0.7153247858105418 kb_relative_information_score -0.7535056641915849 kb_relative_information_score -0.7545713028757602 kb_relative_information_score -0.7174443734787058 kb_relative_information_score -0.71893059965826 kb_relative_information_score -0.43643484936509 kb_relative_information_score -0.5107051361889255 mean_absolute_error 0.49765284481291117 mean_absolute_error 0.49798994644553446 mean_absolute_error 0.4979807371276127 mean_absolute_error 0.49784371209151645 mean_absolute_error 0.4981019940796051 mean_absolute_error 0.49810914635508496 mean_absolute_error 0.4978580147662646 mean_absolute_error 0.49786819611694255 mean_absolute_error 0.4982890163398233 mean_absolute_error 0.4987912920099595 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 1.0088100795351362 relative_absolute_error 1.0094934304460428 relative_absolute_error 1.009474761904625 relative_absolute_error 1.0091969934983889 relative_absolute_error 1.0097205662573152 relative_absolute_error 1.0097350648936052 relative_absolute_error 1.0092259869676328 relative_absolute_error 1.0092466259518047 relative_absolute_error 1.0055518821458074 relative_absolute_error 1.0065654791324947 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 0.49771646852134194 root_mean_squared_error 0.4980661847284156 root_mean_squared_error 0.49804661454022964 root_mean_squared_error 0.49791895088558413 root_mean_squared_error 0.4981680285563089 root_mean_squared_error 0.49817705797146583 root_mean_squared_error 0.49793058197294165 root_mean_squared_error 0.4979311704748672 root_mean_squared_error 0.4983552145736956 root_mean_squared_error 0.49885874089558285 root_relative_squared_error 1.0026421143905426 root_relative_squared_error 1.0033466122713113 root_relative_squared_error 1.0033071884304243 root_relative_squared_error 1.0030500119761172 root_relative_squared_error 1.0035517750846694 root_relative_squared_error 1.0035699647016045 root_relative_squared_error 1.003073442621391 root_relative_squared_error 1.0030746281494018 root_relative_squared_error 0.9994146854957785 root_relative_squared_error 1.0004244704562073 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 590.0863799979561 usercpu_time_millis 544.8273399997561 usercpu_time_millis 533.3805230002326 usercpu_time_millis 536.7834309981845 usercpu_time_millis 536.2468610001088 usercpu_time_millis 535.1693209995574 usercpu_time_millis 536.6045990012935 usercpu_time_millis 535.0858790043276 usercpu_time_millis 536.023185999511 usercpu_time_millis 536.8746650019602 usercpu_time_millis_testing 3.430998000112595 usercpu_time_millis_testing 3.251782000006642 usercpu_time_millis_testing 3.061900999455247 usercpu_time_millis_testing 3.238188997784164 usercpu_time_millis_testing 3.189410999766551 usercpu_time_millis_testing 3.207557001587702 usercpu_time_millis_testing 3.284278001956409 usercpu_time_millis_testing 3.1883930023468565 usercpu_time_millis_testing 3.249878998758504 usercpu_time_millis_testing 3.179756000463385 usercpu_time_millis_training 586.6553819978435 usercpu_time_millis_training 541.5755579997494 usercpu_time_millis_training 530.3186220007774 usercpu_time_millis_training 533.5452420004003 usercpu_time_millis_training 533.0574500003422 usercpu_time_millis_training 531.9617639979697 usercpu_time_millis_training 533.3203209993371 usercpu_time_millis_training 531.8974860019807 usercpu_time_millis_training 532.7733070007525 usercpu_time_millis_training 533.6949090014969