10560121 6691 Sergey Redyuk 10101 Supervised Classification 18903 sklearn.pipeline.Pipeline(votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier),ExtraTreeClassifier=sklearn.tree.tree.ExtraTreeClassifier,KNN=sklearn.neighbors.classification.KNeighborsClassifier,RFC=sklearn.ensemble.forest.RandomForestClassifier))(2) 8276544 Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0. bootstrap true 18875 class_weight null 18875 criterion "gini" 18875 max_depth null 18875 max_features "auto" 18875 max_leaf_nodes null 18875 min_impurity_split 1e-07 18875 min_samples_leaf 1 18875 min_samples_split 2 18875 min_weight_fraction_leaf 0.0 18875 n_estimators 10 18875 n_jobs 1 18875 oob_score false 18875 random_state 2992 18875 verbose 0 18875 warm_start false 18875 copy true 18877 with_mean true 18877 with_std true 18877 class_weight null 18895 criterion "gini" 18895 max_depth null 18895 max_features null 18895 max_leaf_nodes null 18895 min_impurity_split 1e-07 18895 min_samples_leaf 1 18895 min_samples_split 2 18895 min_weight_fraction_leaf 0.0 18895 presort false 18895 random_state 13646 18895 splitter "best" 18895 class_weight null 18896 criterion "gini" 18896 max_depth 1000 18896 max_features "auto" 18896 max_leaf_nodes null 18896 min_impurity_split 1e-07 18896 min_samples_leaf 1 18896 min_samples_split 2 18896 min_weight_fraction_leaf 0.0 18896 random_state 10958 18896 splitter "random" 18896 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "votingclassifier", "step_name": "votingclassifier"}}] 18903 estimators [{"oml-python:serialized_object": "component_reference", "value": {"key": "DecisionTreeClassifier", "step_name": "DecisionTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "ExtraTreeClassifier", "step_name": "ExtraTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "KNN", "step_name": "KNN"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RFC", "step_name": "RFC"}}] 18904 n_jobs 1 18904 voting "soft" 18904 weights null 18904 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18905 algorithm "auto" 18906 leaf_size 30 18906 metric "minkowski" 18906 metric_params null 18906 n_jobs 1 18906 n_neighbors 1 18906 p 2 18906 weights "uniform" 18906 openml-python Sklearn_0.18.1. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22046316 description https://api.openml.org/data/download/22046316/description.xml -1 22046317 predictions https://api.openml.org/data/download/22046317/predictions.arff area_under_roc_curve 0.6537737139369483 [0.653775,0.65377] average_cost 0 f_measure 0.7106333003389369 [0.820205,0.359756] kappa 0.1816363105905888 kb_relative_information_score 0.03779273463269923 mean_absolute_error 0.30965920955278825 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7192513368983956 [0.840351,0.331461] number_of_instances 748 [570,178] precision 0.70399096214953 [0.801003,0.393333] predictive_accuracy 0.7192513368983957 prior_entropy 0.7916465694609683 relative_absolute_error 0.8529509621497465 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4635279194553242 root_relative_squared_error 1.088502628551821 total_cost 0 unweighted_recall 0.5859057756751429 [0.840351,0.331461] area_under_roc_curve 0.6530214424951267 [0.653021,0.653021] area_under_roc_curve 0.6598440545808967 [0.659844,0.659844] area_under_roc_curve 0.6164717348927875 [0.616472,0.616472] area_under_roc_curve 0.7051656920077972 [0.705166,0.705166] area_under_roc_curve 0.7183235867446394 [0.718324,0.718324] area_under_roc_curve 0.6988304093567252 [0.69883,0.69883] area_under_roc_curve 0.6135477582846004 [0.613548,0.613548] area_under_roc_curve 0.5628654970760234 [0.562865,0.562865] area_under_roc_curve 0.7533539731682146 [0.753354,0.753354] area_under_roc_curve 0.5877192982456141 [0.587719,0.587719] 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 f_measure 0.6733468559837729 [0.793103,0.294118] f_measure 0.7033017077798862 [0.823529,0.322581] f_measure 0.6750447275684467 [0.806723,0.258065] f_measure 0.7277890466531441 [0.827586,0.411765] f_measure 0.752533485323454 [0.859504,0.413793] f_measure 0.7315586879913256 [0.840336,0.387097] f_measure 0.6833255633255633 [0.803419,0.30303] f_measure 0.7172173913043478 [0.817391,0.4] f_measure 0.7764791818845873 [0.846847,0.540541] f_measure 0.6585122672079196 [0.782609,0.242424] kappa 0.08814589665653506 kappa 0.15185783521809348 kappa 0.07108239095315017 kappa 0.24012158054711227 kappa 0.28330522765598654 kappa 0.23263327948303714 kappa 0.10852713178294573 kappa 0.217585692995529 kappa 0.38872691933916426 kappa 0.025289778714436325 kb_relative_information_score -0.006273330130805224 kb_relative_information_score 0.051841725295196144 kb_relative_information_score -0.06264883114828948 kb_relative_information_score 0.06884955395853062 kb_relative_information_score 0.19933200196355344 kb_relative_information_score 0.028353396255771345 kb_relative_information_score 0.04764530302899573 kb_relative_information_score -0.1029941665224866 kb_relative_information_score 0.24497051508924209 kb_relative_information_score -0.08833950369067559 mean_absolute_error 0.32391045107704086 mean_absolute_error 0.31235190773861615 mean_absolute_error 0.3402450845979412 mean_absolute_error 0.2993526328691215 mean_absolute_error 0.2679725091271457 mean_absolute_error 0.3124619178447527 mean_absolute_error 0.3060209272882784 mean_absolute_error 0.346584692750165 mean_absolute_error 0.2452271779898489 mean_absolute_error 0.3420374098277949 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.667542372881356 [0.779661,0.3125] precision 0.6929528535980148 [0.790323,0.384615] precision 0.6622332506203473 [0.774194,0.307692] precision 0.7233050847457627 [0.813559,0.4375] precision 0.7484090909090908 [0.8125,0.545455] precision 0.7236724565756822 [0.806452,0.461538] precision 0.6753333333333333 [0.783333,0.333333] precision 0.714685598377282 [0.810345,0.411765] precision 0.7852852852852852 [0.87037,0.5] precision 0.6550559179869525 [0.775862,0.25] predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.72 predictive_accuracy 0.7702702702702703 predictive_accuracy 0.6621621621621621 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 relative_absolute_error 0.8896031870066666 relative_absolute_error 0.8578582496116961 relative_absolute_error 0.934465407384121 relative_absolute_error 0.8221564180893547 relative_absolute_error 0.7359725422783038 relative_absolute_error 0.8581603866396822 relative_absolute_error 0.8404705414757899 relative_absolute_error 0.9518768110539901 relative_absolute_error 0.6835815358330791 relative_absolute_error 0.9534443116746664 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.4846379915099721 root_mean_squared_error 0.45894371955992097 root_mean_squared_error 0.5000494568384508 root_mean_squared_error 0.4551259006077486 root_mean_squared_error 0.408497167412221 root_mean_squared_error 0.45473638620094525 root_mean_squared_error 0.48081457179542736 root_mean_squared_error 0.47537035402815325 root_mean_squared_error 0.3984673703764962 root_mean_squared_error 0.5060633383797796 root_relative_squared_error 1.13475713651216 root_relative_squared_error 1.074595203329906 root_relative_squared_error 1.1708423600645133 root_relative_squared_error 1.0656559592388866 root_relative_squared_error 0.9564769664915594 root_relative_squared_error 1.0647439295164185 root_relative_squared_error 1.1258047784986185 root_relative_squared_error 1.1130573978302305 root_relative_squared_error 0.9470318972779316 root_relative_squared_error 1.2027537487844346 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 unweighted_recall 0.5423976608187134 [0.807018,0.277778] unweighted_recall 0.5687134502923976 [0.859649,0.277778] unweighted_recall 0.5321637426900585 [0.842105,0.222222] unweighted_recall 0.6154970760233918 [0.842105,0.388889] unweighted_recall 0.6228070175438596 [0.912281,0.333333] unweighted_recall 0.6052631578947368 [0.877193,0.333333] unweighted_recall 0.5511695906432749 [0.824561,0.277778] unweighted_recall 0.6067251461988304 [0.824561,0.388889] unweighted_recall 0.7063983488132095 [0.824561,0.588235] unweighted_recall 0.5123839009287926 [0.789474,0.235294] usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 wall_clock_time_millis 19.7908878326416 wall_clock_time_millis 20.132064819335938 wall_clock_time_millis 22.81641960144043 wall_clock_time_millis 33.50257873535156 wall_clock_time_millis 22.629737854003906 wall_clock_time_millis 21.420717239379883 wall_clock_time_millis 21.880626678466797 wall_clock_time_millis 20.978689193725586 wall_clock_time_millis 22.022724151611328 wall_clock_time_millis 31.765222549438477 wall_clock_time_millis_testing 2.1996498107910156 wall_clock_time_millis_testing 2.6502609252929688 wall_clock_time_millis_testing 2.4344921112060547 wall_clock_time_millis_testing 3.275156021118164 wall_clock_time_millis_testing 2.5169849395751953 wall_clock_time_millis_testing 2.492666244506836 wall_clock_time_millis_testing 2.4330615997314453 wall_clock_time_millis_testing 2.1529197692871094 wall_clock_time_millis_testing 2.146482467651367 wall_clock_time_millis_testing 3.010988235473633 wall_clock_time_millis_training 17.591238021850586 wall_clock_time_millis_training 17.48180389404297 wall_clock_time_millis_training 20.381927490234375 wall_clock_time_millis_training 30.2274227142334 wall_clock_time_millis_training 20.11275291442871 wall_clock_time_millis_training 18.928050994873047 wall_clock_time_millis_training 19.44756507873535 wall_clock_time_millis_training 18.825769424438477 wall_clock_time_millis_training 19.87624168395996 wall_clock_time_millis_training 28.754234313964844 weighted_recall 0.68 [0.807018,0.277778] weighted_recall 0.72 [0.859649,0.277778] weighted_recall 0.6933333333333334 [0.842105,0.222222] weighted_recall 0.7333333333333333 [0.842105,0.388889] weighted_recall 0.7733333333333333 [0.912281,0.333333] weighted_recall 0.7466666666666667 [0.877193,0.333333] weighted_recall 0.6933333333333334 [0.824561,0.277778] weighted_recall 0.72 [0.824561,0.388889] weighted_recall 0.7702702702702703 [0.824561,0.588235] weighted_recall 0.6621621621621622 [0.789474,0.235294]