10218732 1 Jan van Rijn 3 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) 8144164 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": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}] 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 "friedman_mse" 9667 init null 9667 learning_rate 9.197028025733564e-05 9667 loss "deviance" 9667 max_depth 31 9667 max_features 0.736702674683126 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5130036921334424 9667 min_impurity_split null 9667 min_samples_leaf 19 9667 min_samples_split 8 9667 min_weight_fraction_leaf 0.21209156185425543 9667 n_estimators 160 9667 n_iter_no_change 715 9667 presort "auto" 9667 random_state 24247 9667 subsample 0.6393400615314238 9667 tol 0.032345853484438886 9667 validation_fraction 0.4488365428990083 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 3 kr-vs-kp https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff -1 21358380 description https://api.openml.org/data/download/21358380/description.xml -1 21358381 predictions https://api.openml.org/data/download/21358381/predictions.arff area_under_roc_curve 0.19042868471369942 [0.190429,0.190429] average_cost 0 kappa 0 kb_relative_information_score -32.111432707055734 mean_absolute_error 0.5025180065662805 mean_prior_absolute_error 0.49901358092237413 number_of_instances 3196 [1669,1527] predictive_accuracy 0.47778473091364204 prior_entropy 0.9985773203745827 recall 0.47778473091364204 [0,1] relative_absolute_error 1.0070227059500643 root_mean_prior_squared_error 0.49950623821173523 root_mean_squared_error 0.5026353438416727 root_relative_squared_error 1.006264397500099 total_cost 0 area_under_roc_curve 0.22699698641931826 [0.226997,0.226997] area_under_roc_curve 0.14185354780634812 [0.141854,0.141854] area_under_roc_curve 0.17997338656021294 [0.179973,0.179973] area_under_roc_curve 0.12028883409651284 [0.120289,0.120289] area_under_roc_curve 0.2047277993033541 [0.204728,0.204728] area_under_roc_curve 0.16717545301553755 [0.167175,0.167175] area_under_roc_curve 0.19470037010788252 [0.1947,0.1947] area_under_roc_curve 0.17314056098329655 [0.173141,0.173141] area_under_roc_curve 0.14873542388906397 [0.148735,0.148735] area_under_roc_curve 0.17172234478411597 [0.171722,0.171722] 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 -2.963678029847582 kb_relative_information_score -3.3156462480571878 kb_relative_information_score -3.33069111749531 kb_relative_information_score -3.3744059173076097 kb_relative_information_score -3.026100017776801 kb_relative_information_score -3.288598054966245 kb_relative_information_score -2.791456824383608 kb_relative_information_score -3.1836644256153073 kb_relative_information_score -3.4796171297070675 kb_relative_information_score -3.3575749418989864 mean_absolute_error 0.5022573954634877 mean_absolute_error 0.5026462873491061 mean_absolute_error 0.5026637975778329 mean_absolute_error 0.5027113164473318 mean_absolute_error 0.5023271458213265 mean_absolute_error 0.5026173095882428 mean_absolute_error 0.5021430104276994 mean_absolute_error 0.5024319499593549 mean_absolute_error 0.5027582728683674 mean_absolute_error 0.5026232189912724 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.49909524173611874 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 319 [166,153] number_of_instances 319 [167,152] number_of_instances 319 [167,152] number_of_instances 319 [167,152] predictive_accuracy 0.478125 predictive_accuracy 0.478125 predictive_accuracy 0.478125 predictive_accuracy 0.478125 predictive_accuracy 0.478125 predictive_accuracy 0.478125 predictive_accuracy 0.47962382445141066 predictive_accuracy 0.4764890282131662 predictive_accuracy 0.4764890282131662 predictive_accuracy 0.4764890282131662 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 prior_entropy 0.9985773203745827 recall 0.478125 [0,1] recall 0.478125 [0,1] recall 0.478125 [0,1] recall 0.478125 [0,1] recall 0.478125 [0,1] recall 0.478125 [0,1] recall 0.47962382445141066 [0,1] recall 0.47648902821316613 [0,1] recall 0.47648902821316613 [0,1] recall 0.47648902821316613 [0,1] relative_absolute_error 1.0064699800298273 relative_absolute_error 1.0072492776805684 relative_absolute_error 1.007284366301893 relative_absolute_error 1.0073795890224895 relative_absolute_error 1.006609752269908 relative_absolute_error 1.007191209354127 relative_absolute_error 1.0061065873539063 relative_absolute_error 1.0069663486696547 relative_absolute_error 1.0076203600003475 relative_absolute_error 1.0073496871072265 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995879730599906 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_squared_error 0.5023851371509817 root_mean_squared_error 0.5027796676357184 root_mean_squared_error 0.502793097366031 root_mean_squared_error 0.5028421644706762 root_mean_squared_error 0.5024502229580137 root_mean_squared_error 0.5027452660128672 root_mean_squared_error 0.5022423681235966 root_mean_squared_error 0.5025367577273754 root_mean_squared_error 0.5028579205246461 root_mean_squared_error 0.5027198445362197 root_relative_squared_error 1.0057330388013341 root_relative_squared_error 1.00652285584402 root_relative_squared_error 1.00654974104121 root_relative_squared_error 1.006647969282077 root_relative_squared_error 1.0058633351450126 root_relative_squared_error 1.0064539866714843 root_relative_squared_error 1.0053131684643002 root_relative_squared_error 1.0061830430448402 root_relative_squared_error 1.00682607771982 root_relative_squared_error 1.0065496208913989 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 494.777134998003 usercpu_time_millis 461.0407159998431 usercpu_time_millis 464.9451229997794 usercpu_time_millis 457.40592700167326 usercpu_time_millis 452.6024500046333 usercpu_time_millis 454.37400599985267 usercpu_time_millis 434.31558100201073 usercpu_time_millis 448.0036840031971 usercpu_time_millis 465.064194995648 usercpu_time_millis 464.4329779985128 usercpu_time_millis_testing 6.105966000177432 usercpu_time_millis_testing 5.561129000852816 usercpu_time_millis_testing 5.710086999897612 usercpu_time_millis_testing 5.566930001805304 usercpu_time_millis_testing 5.769309002062073 usercpu_time_millis_testing 5.724162001570221 usercpu_time_millis_testing 5.749842999648536 usercpu_time_millis_testing 5.8423440023034345 usercpu_time_millis_testing 5.8428489974176046 usercpu_time_millis_testing 5.673864998243516 usercpu_time_millis_training 488.6711689978256 usercpu_time_millis_training 455.47958699899027 usercpu_time_millis_training 459.2350359998818 usercpu_time_millis_training 451.83899699986796 usercpu_time_millis_training 446.8331410025712 usercpu_time_millis_training 448.64984399828245 usercpu_time_millis_training 428.5657380023622 usercpu_time_millis_training 442.1613400008937 usercpu_time_millis_training 459.2213459982304 usercpu_time_millis_training 458.7591130002693