10227031 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) 8152463 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 1.3957097892186628e-05 9667 loss "deviance" 9667 max_depth 10 9667 max_features 0.06799113392356682 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.30561686177205194 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 15 9667 min_weight_fraction_leaf 0.2781796659794181 9667 n_estimators 93 9667 n_iter_no_change 214 9667 presort "auto" 9667 random_state 35895 9667 subsample 0.04844691599273021 9667 tol 0.014060818708138786 9667 validation_fraction 0.5471121357044261 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 21374978 description https://api.openml.org/data/download/21374978/description.xml -1 21374979 predictions https://api.openml.org/data/download/21374979/predictions.arff area_under_roc_curve 0.34147929637211244 [0.341479,0.341479] average_cost 0 kappa 0 kb_relative_information_score -17.304008807849293 mean_absolute_error 0.5008819926027126 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 1.0037442100811864 root_mean_prior_squared_error 0.49950623821173523 root_mean_squared_error 0.5012562275287127 root_relative_squared_error 1.0035034383619361 total_cost 0 area_under_roc_curve 0.21721263355641657 [0.217213,0.217213] area_under_roc_curve 0.14580642636296032 [0.145806,0.145806] area_under_roc_curve 0.15214668701812062 [0.152147,0.152147] area_under_roc_curve 0.1306798168369144 [0.13068,0.13068] area_under_roc_curve 0.17889710774529372 [0.178897,0.178897] area_under_roc_curve 0.11467261555320732 [0.114673,0.114673] area_under_roc_curve 0.14024726356406017 [0.140247,0.140247] area_under_roc_curve 0.16449338165773716 [0.164493,0.164493] area_under_roc_curve 0.1506854711629373 [0.150685,0.150685] area_under_roc_curve 0.16837377875827292 [0.168374,0.168374] 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 -1.6389487274724837 kb_relative_information_score -1.6405343190197061 kb_relative_information_score -1.6407335597934338 kb_relative_information_score -1.6451298225763367 kb_relative_information_score -1.6421738130489376 kb_relative_information_score -1.6459195541237375 kb_relative_information_score -1.6931669799982794 kb_relative_information_score -1.9196601760210632 kb_relative_information_score -1.9213745820139363 kb_relative_information_score -1.9163672737813464 mean_absolute_error 0.500793018626105 mean_absolute_error 0.5007947940877162 mean_absolute_error 0.5007950171183913 mean_absolute_error 0.5007999399952966 mean_absolute_error 0.5007966300886656 mean_absolute_error 0.5008008242242711 mean_absolute_error 0.5009321210846516 mean_absolute_error 0.5010369905517205 mean_absolute_error 0.5010389302679468 mean_absolute_error 0.501033264156262 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 1.0035355258244958 relative_absolute_error 1.0035390836592404 relative_absolute_error 1.003539530588805 relative_absolute_error 1.0035493955064059 relative_absolute_error 1.003542762808329 relative_absolute_error 1.003551167406484 relative_absolute_error 1.0036804184751256 relative_absolute_error 1.0041705925849518 relative_absolute_error 1.004174480134233 relative_absolute_error 1.004163124200768 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 0.5011043010712395 root_mean_squared_error 0.5011061364574527 root_mean_squared_error 0.5011062994869424 root_mean_squared_error 0.5011113025369278 root_mean_squared_error 0.5011079224507116 root_mean_squared_error 0.501112147770654 root_mean_squared_error 0.5014263294119319 root_mean_squared_error 0.5014975926281073 root_mean_squared_error 0.5014991783283053 root_mean_squared_error 0.5014935188370017 root_relative_squared_error 1.003168912063846 root_relative_squared_error 1.0031725863535832 root_relative_squared_error 1.0031729127249902 root_relative_squared_error 1.0031829284127425 root_relative_squared_error 1.0031761617627557 root_relative_squared_error 1.0031846204999904 root_relative_squared_error 1.0036797450120372 root_relative_squared_error 1.0041024185218979 root_relative_squared_error 1.0041055934232874 root_relative_squared_error 1.004094261945352 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 110.75578500458505 usercpu_time_millis 111.56379900785396 usercpu_time_millis 107.40546000306495 usercpu_time_millis 101.76068800501525 usercpu_time_millis 102.59512800257653 usercpu_time_millis 102.15341499861097 usercpu_time_millis 100.75115300423931 usercpu_time_millis 101.73260699957609 usercpu_time_millis 100.76527999626705 usercpu_time_millis 100.0338800076861 usercpu_time_millis_testing 5.563842001720332 usercpu_time_millis_testing 5.510491006134544 usercpu_time_millis_testing 5.143172005773522 usercpu_time_millis_testing 5.159391002962366 usercpu_time_millis_testing 5.071925996162463 usercpu_time_millis_testing 4.953962998115458 usercpu_time_millis_testing 5.117193999467418 usercpu_time_millis_testing 5.107755998324137 usercpu_time_millis_testing 5.041908996645361 usercpu_time_millis_testing 5.110648002300877 usercpu_time_millis_training 105.19194300286472 usercpu_time_millis_training 106.05330800171942 usercpu_time_millis_training 102.26228799729142 usercpu_time_millis_training 96.60129700205289 usercpu_time_millis_training 97.52320200641407 usercpu_time_millis_training 97.19945200049551 usercpu_time_millis_training 95.6339590047719 usercpu_time_millis_training 96.62485100125195 usercpu_time_millis_training 95.7233709996217 usercpu_time_millis_training 94.92323200538522