10560209 6691 Sergey Redyuk 9952 Supervised Classification 18898 sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.tree.tree.DecisionTreeClassifier,ExtraTreeClassifier=sklearn.tree.tree.ExtraTreeClassifier)(2) 8276623 Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0. 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 14864 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 51025 18896 splitter "random" 18896 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"}}] 18898 n_jobs 1 18898 voting "hard" 18898 weights null 18898 openml-python Sklearn_0.18.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22046494 description https://api.openml.org/data/download/22046494/description.xml -1 22046495 predictions https://api.openml.org/data/download/22046495/predictions.arff area_under_roc_curve 0.8007607490106267 [0.800761,0.800761] average_cost 0 f_measure 0.8608227931329648 [0.911367,0.739146] kappa 0.6534251873581002 kb_relative_information_score 0.6560937393925684 mean_absolute_error 0.13230940044411546 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8676905995558846 [0.962808,0.638714] number_of_instances 5404 [3818,1586] precision 0.8686406129714338 [0.865145,0.877056] predictive_accuracy 0.8676905995558845 prior_entropy 0.8731822780289229 relative_absolute_error 0.31902097209497987 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.36374359161931014 root_relative_squared_error 0.79880565633216 total_cost 0 unweighted_recall 0.8007607490106267 [0.962808,0.638714] area_under_roc_curve 0.8029569626922191 [0.802957,0.802957] area_under_roc_curve 0.8087194178273898 [0.808719,0.808719] area_under_roc_curve 0.7804175310349369 [0.780418,0.780418] area_under_roc_curve 0.7809443840758669 [0.780944,0.780944] area_under_roc_curve 0.7818775266750613 [0.781878,0.781878] area_under_roc_curve 0.8018424017496191 [0.801842,0.801842] area_under_roc_curve 0.840579229902578 [0.840579,0.840579] area_under_roc_curve 0.8102425608058851 [0.810243,0.810243] area_under_roc_curve 0.7995097310949338 [0.79951,0.79951] area_under_roc_curve 0.8008220670529391 [0.800822,0.800822] 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 0.8606491472477107 [0.910448,0.741007] f_measure 0.8662673653645047 [0.914286,0.750903] f_measure 0.8468012162524812 [0.904177,0.708955] f_measure 0.8455426907448895 [0.902589,0.708487] f_measure 0.8400904781959392 [0.89612,0.704626] f_measure 0.8603215805032808 [0.910448,0.73913] f_measure 0.8887004139109738 [0.927136,0.795775] f_measure 0.8694600915170929 [0.916976,0.754579] f_measure 0.8640265166696611 [0.915129,0.741573] f_measure 0.8657877289456236 [0.916462,0.744361] kappa 0.6539322648281743 kappa 0.6676933759447359 kappa 0.6175153635589071 kappa 0.6149466192170819 kappa 0.6029130342334681 kappa 0.6520867635478561 kappa 0.7241597970830691 kappa 0.6742888008642419 kappa 0.6607669616519175 kappa 0.6650062948163558 kb_relative_information_score 0.6542804815115071 kb_relative_information_score 0.6686854614485277 kb_relative_information_score 0.6254705216374661 kb_relative_information_score 0.6206688616584592 kb_relative_information_score 0.5999657094053189 kb_relative_information_score 0.6529823021347351 kb_relative_information_score 0.7204579656085367 kb_relative_information_score 0.6770807533753785 kb_relative_information_score 0.6683336630194201 kb_relative_information_score 0.6731404215263846 mean_absolute_error 0.133086876155268 mean_absolute_error 0.12754158964879853 mean_absolute_error 0.14417744916820702 mean_absolute_error 0.14602587800369685 mean_absolute_error 0.1537037037037037 mean_absolute_error 0.13333333333333333 mean_absolute_error 0.10740740740740741 mean_absolute_error 0.12407407407407407 mean_absolute_error 0.12777777777777777 mean_absolute_error 0.1259259259259259 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.8667835593558849 [0.867299,0.865546] precision 0.8733208179066145 [0.869976,0.881356] precision 0.8576439723822247 [0.851852,0.87156] precision 0.8543212794599117 [0.853147,0.857143] precision 0.8428199445863364 [0.858513,0.804878] precision 0.866452459367553 [0.867299,0.864407] precision 0.8929197658666257 [0.891304,0.896825] precision 0.8779217580752107 [0.870588,0.895652] precision 0.8774691358024692 [0.861111,0.916667] precision 0.8802179486257101 [0.861432,0.925234] predictive_accuracy 0.866913123844732 predictive_accuracy 0.8724584103512015 predictive_accuracy 0.8558225508317929 predictive_accuracy 0.8539741219963031 predictive_accuracy 0.8462962962962963 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8925925925925925 predictive_accuracy 0.875925925925926 predictive_accuracy 0.8722222222222222 predictive_accuracy 0.874074074074074 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.32076343992978734 relative_absolute_error 0.30739829659937956 relative_absolute_error 0.347493726590603 relative_absolute_error 0.35194877436740557 relative_absolute_error 0.37093638086168085 relative_absolute_error 0.3217761376149521 relative_absolute_error 0.25920855530093356 relative_absolute_error 0.2994305725028026 relative_absolute_error 0.307800849597481 relative_absolute_error 0.30333996771925664 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.36481074018628895 root_mean_squared_error 0.35712965383568823 root_mean_squared_error 0.37970705704293545 root_mean_squared_error 0.38213332490597685 root_mean_squared_error 0.39205063920838557 root_mean_squared_error 0.3651483716701107 root_mean_squared_error 0.327730693416725 root_mean_squared_error 0.35224149964771906 root_mean_squared_error 0.35746017649212025 root_mean_squared_error 0.35486043161491804 root_relative_squared_error 0.8008192755634513 root_relative_squared_error 0.7839580340230096 root_relative_squared_error 0.8335191288287682 root_relative_squared_error 0.838845183844066 root_relative_squared_error 0.8617369471789673 root_relative_squared_error 0.8026051014882312 root_relative_squared_error 0.7203601244268399 root_relative_squared_error 0.7742354793479299 root_relative_squared_error 0.7842590927653467 root_relative_squared_error 0.7785553145743769 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 0.8029569626922191 [0.958115,0.647799] unweighted_recall 0.8087194178273898 [0.963351,0.654088] unweighted_recall 0.7804175310349369 [0.963351,0.597484] unweighted_recall 0.7809443840758667 [0.958115,0.603774] unweighted_recall 0.7818775266750613 [0.937173,0.626582] unweighted_recall 0.8018424017496188 [0.958115,0.64557] unweighted_recall 0.840579229902578 [0.965969,0.71519] unweighted_recall 0.8102425608058851 [0.968586,0.651899] unweighted_recall 0.799509731094934 [0.976378,0.622642] unweighted_recall 0.8008220670529391 [0.979003,0.622642] usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 46.875 usercpu_time_millis 46.875 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 46.875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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_testing 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 46.875 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 wall_clock_time_millis 30.19261360168457 wall_clock_time_millis 31.687021255493164 wall_clock_time_millis 32.591819763183594 wall_clock_time_millis 32.99689292907715 wall_clock_time_millis 33.23554992675781 wall_clock_time_millis 35.5532169342041 wall_clock_time_millis 35.98594665527344 wall_clock_time_millis 33.61868858337402 wall_clock_time_millis 35.93254089355469 wall_clock_time_millis 35.775184631347656 wall_clock_time_millis_testing 3.24249267578125 wall_clock_time_millis_testing 4.192113876342773 wall_clock_time_millis_testing 3.4759044647216797 wall_clock_time_millis_testing 3.656148910522461 wall_clock_time_millis_testing 3.6361217498779297 wall_clock_time_millis_testing 3.722667694091797 wall_clock_time_millis_testing 3.856658935546875 wall_clock_time_millis_testing 3.839254379272461 wall_clock_time_millis_testing 3.657817840576172 wall_clock_time_millis_testing 4.057168960571289 wall_clock_time_millis_training 26.95012092590332 wall_clock_time_millis_training 27.49490737915039 wall_clock_time_millis_training 29.115915298461914 wall_clock_time_millis_training 29.340744018554688 wall_clock_time_millis_training 29.599428176879883 wall_clock_time_millis_training 31.830549240112305 wall_clock_time_millis_training 32.12928771972656 wall_clock_time_millis_training 29.779434204101562 wall_clock_time_millis_training 32.274723052978516 wall_clock_time_millis_training 31.718015670776367 weighted_recall 0.866913123844732 [0.958115,0.647799] weighted_recall 0.8724584103512015 [0.963351,0.654088] weighted_recall 0.8558225508317929 [0.963351,0.597484] weighted_recall 0.8539741219963032 [0.958115,0.603774] weighted_recall 0.8462962962962963 [0.937173,0.626582] weighted_recall 0.8666666666666667 [0.958115,0.64557] weighted_recall 0.8925925925925926 [0.965969,0.71519] weighted_recall 0.8759259259259259 [0.968586,0.651899] weighted_recall 0.8722222222222222 [0.976378,0.622642] weighted_recall 0.8740740740740741 [0.979003,0.622642]