10560385 6691 Sergey Redyuk 9952 Supervised Classification 18907 sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.tree.tree.DecisionTreeClassifier,ExtraTreeClassifier=sklearn.tree.tree.ExtraTreeClassifier))(2) 8276794 Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0. 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 59023 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 57727 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 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "votingclassifier", "step_name": "votingclassifier"}}] 18907 openml-python Sklearn_0.18.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22046855 description https://api.openml.org/data/download/22046855/description.xml -1 22046856 predictions https://api.openml.org/data/download/22046856/predictions.arff area_under_roc_curve 0.8025698935882793 [0.80257,0.80257] average_cost 0 f_measure 0.8628244390006443 [0.912807,0.742502] kappa 0.6582782123186036 kb_relative_information_score 0.6613846049403728 mean_absolute_error 0.13027387120651368 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8697261287934863 [0.965165,0.639975] number_of_instances 5404 [3818,1586] precision 0.8712101638379949 [0.865836,0.884146] predictive_accuracy 0.8697261287934863 prior_entropy 0.8731822780289229 relative_absolute_error 0.3141129571396725 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3609347187602125 root_relative_squared_error 0.7926371805721435 total_cost 0 unweighted_recall 0.8025698935882792 [0.965165,0.639975] area_under_roc_curve 0.8016480621686588 [0.801648,0.801648] area_under_roc_curve 0.8181533800915407 [0.818153,0.818153] area_under_roc_curve 0.7901066877407883 [0.790107,0.790107] area_under_roc_curve 0.7953587539925583 [0.795359,0.795359] area_under_roc_curve 0.7878752733779575 [0.787875,0.787875] area_under_roc_curve 0.8124295844655046 [0.81243,0.81243] area_under_roc_curve 0.8145006295977202 [0.814501,0.814501] area_under_roc_curve 0.8020577904433693 [0.802058,0.802058] area_under_roc_curve 0.7913881047887882 [0.791388,0.791388] area_under_roc_curve 0.8123607190610608 [0.812361,0.812361] 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 0.858910493040837 [0.909091,0.738351] f_measure 0.872615563020097 [0.917706,0.764286] f_measure 0.8576948091566046 [0.91198,0.727273] f_measure 0.854638440613592 [0.906832,0.729242] f_measure 0.849976523086808 [0.904585,0.717949] f_measure 0.8639312467051627 [0.910692,0.750877] f_measure 0.8688121693121693 [0.915,0.757143] f_measure 0.8647620415486972 [0.91492,0.743494] f_measure 0.8591960861271285 [0.913097,0.730038] f_measure 0.8772417805506042 [0.92402,0.765152] kappa 0.6498195586057687 kappa 0.6840232916231571 kappa 0.644059433082954 kappa 0.6387971477660171 kappa 0.6256751890529348 kappa 0.6629983826735109 kappa 0.6740288331794618 kappa 0.6618383794380309 kappa 0.6480889965855269 kappa 0.6933223413025557 kb_relative_information_score 0.6494788215325 kb_relative_information_score 0.6830904413855481 kb_relative_information_score 0.6542804815115076 kb_relative_information_score 0.6398755015744862 kb_relative_information_score 0.6288838508940914 kb_relative_information_score 0.6578019923828634 kb_relative_information_score 0.6722610631272495 kb_relative_information_score 0.6674413728791214 kb_relative_information_score 0.6587201460054902 kb_relative_information_score 0.7019809725681746 mean_absolute_error 0.13493530499075784 mean_absolute_error 0.12199630314232902 mean_absolute_error 0.133086876155268 mean_absolute_error 0.13863216266173753 mean_absolute_error 0.1425925925925926 mean_absolute_error 0.13148148148148148 mean_absolute_error 0.1259259259259259 mean_absolute_error 0.12777777777777777 mean_absolute_error 0.13148148148148148 mean_absolute_error 0.11481481481481481 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 0.8644411246877209 [0.866983,0.858333] precision 0.8785731380589388 [0.87619,0.884298] precision 0.8727803712846702 [0.855505,0.914286] precision 0.8608409792014168 [0.862884,0.855932] precision 0.8568779009188217 [0.858824,0.852174] precision 0.8665670322283162 [0.876513,0.84252] precision 0.8736243656002068 [0.875598,0.868852] precision 0.8753641753641754 [0.864802,0.900901] precision 0.8754008860660237 [0.855505,0.923077] precision 0.8947089947089947 [0.866667,0.961905] predictive_accuracy 0.8650646950092421 predictive_accuracy 0.878003696857671 predictive_accuracy 0.866913123844732 predictive_accuracy 0.8613678373382625 predictive_accuracy 0.8574074074074075 predictive_accuracy 0.8685185185185185 predictive_accuracy 0.874074074074074 predictive_accuracy 0.8722222222222222 predictive_accuracy 0.8685185185185185 predictive_accuracy 0.8851851851851852 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 0.32521848770659 relative_absolute_error 0.2940331532689717 relative_absolute_error 0.32076343992978734 relative_absolute_error 0.3341285832601952 relative_absolute_error 0.3441217027271015 relative_absolute_error 0.31730702459252214 relative_absolute_error 0.30389968552523244 relative_absolute_error 0.30836879854766236 relative_absolute_error 0.3167226133539297 relative_absolute_error 0.27657467644991046 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 0.3673354121109995 root_mean_squared_error 0.34927969185500757 root_mean_squared_error 0.36481074018628895 root_mean_squared_error 0.3723334025597724 root_mean_squared_error 0.3776143437325873 root_mean_squared_error 0.3626037527129049 root_mean_squared_error 0.35486043161491804 root_mean_squared_error 0.35746017649212025 root_mean_squared_error 0.3626037527129049 root_mean_squared_error 0.3388433484883757 root_relative_squared_error 0.8063613435978236 root_relative_squared_error 0.7667260828382412 root_relative_squared_error 0.8008192755634513 root_relative_squared_error 0.8173327505482206 root_relative_squared_error 0.8300056146730266 root_relative_squared_error 0.7970119664372493 root_relative_squared_error 0.779991956222551 root_relative_squared_error 0.7857062594014667 root_relative_squared_error 0.7955439761894751 root_relative_squared_error 0.7434142166069333 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 0.8016480621686588 [0.955497,0.647799] unweighted_recall 0.8181533800915407 [0.963351,0.672956] unweighted_recall 0.7901066877407883 [0.97644,0.603774] unweighted_recall 0.7953587539925582 [0.955497,0.63522] unweighted_recall 0.7878752733779575 [0.955497,0.620253] unweighted_recall 0.8124295844655046 [0.947644,0.677215] unweighted_recall 0.8145006295977202 [0.958115,0.670886] unweighted_recall 0.8020577904433694 [0.971204,0.632911] unweighted_recall 0.7913881047887882 [0.979003,0.603774] unweighted_recall 0.8123607190610607 [0.989501,0.63522] usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 46.875 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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 0 usercpu_time_millis_testing 0 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 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 wall_clock_time_millis 36.600589752197266 wall_clock_time_millis 35.863399505615234 wall_clock_time_millis 35.620689392089844 wall_clock_time_millis 35.26663780212402 wall_clock_time_millis 34.4088077545166 wall_clock_time_millis 36.29803657531738 wall_clock_time_millis 35.604000091552734 wall_clock_time_millis 33.49041938781738 wall_clock_time_millis 38.09833526611328 wall_clock_time_millis 36.2401008605957 wall_clock_time_millis_testing 3.8166046142578125 wall_clock_time_millis_testing 4.384040832519531 wall_clock_time_millis_testing 4.210948944091797 wall_clock_time_millis_testing 3.997802734375 wall_clock_time_millis_testing 3.9746761322021484 wall_clock_time_millis_testing 3.9141178131103516 wall_clock_time_millis_testing 3.8323402404785156 wall_clock_time_millis_testing 3.8433074951171875 wall_clock_time_millis_testing 3.9119720458984375 wall_clock_time_millis_testing 4.016399383544922 wall_clock_time_millis_training 32.78398513793945 wall_clock_time_millis_training 31.479358673095703 wall_clock_time_millis_training 31.409740447998047 wall_clock_time_millis_training 31.268835067749023 wall_clock_time_millis_training 30.434131622314453 wall_clock_time_millis_training 32.38391876220703 wall_clock_time_millis_training 31.77165985107422 wall_clock_time_millis_training 29.647111892700195 wall_clock_time_millis_training 34.186363220214844 wall_clock_time_millis_training 32.22370147705078 weighted_recall 0.8650646950092421 [0.955497,0.647799] weighted_recall 0.878003696857671 [0.963351,0.672956] weighted_recall 0.866913123844732 [0.97644,0.603774] weighted_recall 0.8613678373382625 [0.955497,0.63522] weighted_recall 0.8574074074074074 [0.955497,0.620253] weighted_recall 0.8685185185185185 [0.947644,0.677215] weighted_recall 0.8740740740740741 [0.958115,0.670886] weighted_recall 0.8722222222222222 [0.971204,0.632911] weighted_recall 0.8685185185185185 [0.979003,0.603774] weighted_recall 0.8851851851851852 [0.989501,0.63522]