10326774 8323 Heinrich Peters 9952 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182444 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 140.1628286743181 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0016356557189051856 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 16291 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 21575234 description https://api.openml.org/data/download/21575234/description.xml -1 21575235 predictions https://api.openml.org/data/download/21575235/predictions.arff area_under_roc_curve 0.726934934210222 [0.726935,0.726935] average_cost 0 f_measure 0.779881456306839 [0.848297,0.615183] kappa 0.4637850301692977 kb_relative_information_score 0.4343583741617658 mean_absolute_error 0.21761658031088082 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.7781689799495061 [0.835791,0.639456] predictive_accuracy 0.7823834196891191 prior_entropy 0.8731822780289229 recall 0.7823834196891192 [0.861184,0.592686] relative_absolute_error 0.5247114170401348 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.46649392312320725 root_relative_squared_error 1.0244523698039374 total_cost 0 area_under_roc_curve 0.7162649412229576 [0.716265,0.716265] area_under_roc_curve 0.7568902499259113 [0.75689,0.75689] area_under_roc_curve 0.7015953768645659 [0.701595,0.701595] area_under_roc_curve 0.7267526095689684 [0.726753,0.726753] area_under_roc_curve 0.7217675127576381 [0.721768,0.721768] area_under_roc_curve 0.756362250646166 [0.756362,0.756362] area_under_roc_curve 0.7457750679302805 [0.745775,0.745775] area_under_roc_curve 0.7059447279475114 [0.705945,0.705945] area_under_roc_curve 0.7326053582924776 [0.732605,0.732605] area_under_roc_curve 0.70561580745803 [0.705616,0.705616] 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 0.7740870132510128 [0.846547,0.6] f_measure 0.7970413919493889 [0.855643,0.65625] f_measure 0.761175274615889 [0.837388,0.578073] f_measure 0.7781141326974522 [0.846054,0.614887] f_measure 0.7767457226203102 [0.846847,0.607261] f_measure 0.7953682839501612 [0.853755,0.654206] f_measure 0.7918031813865146 [0.854167,0.641026] f_measure 0.7660780435767991 [0.841432,0.583893] f_measure 0.7871147428033121 [0.854942,0.624585] f_measure 0.7693647039693844 [0.846641,0.584192] kappa 0.4473106196046381 kappa 0.5119010514919374 kappa 0.4161787823426945 kappa 0.4611238061756607 kappa 0.45449915110356554 kappa 0.5080110315844769 kappa 0.4952260132202712 kappa 0.4261227288309907 kappa 0.48016765487630336 kappa 0.43263519849953097 kb_relative_information_score 0.42380080251917723 kb_relative_information_score 0.471817402309245 kb_relative_information_score 0.390189182666129 kb_relative_information_score 0.4286024624981837 kb_relative_information_score 0.42645686047268555 kb_relative_information_score 0.46501438245771454 kb_relative_information_score 0.46019469220958603 kb_relative_information_score 0.40235840923204236 kb_relative_information_score 0.4568362887129612 kb_relative_information_score 0.4183822206572419 mean_absolute_error 0.22181146025878004 mean_absolute_error 0.2033271719038817 mean_absolute_error 0.23475046210720887 mean_absolute_error 0.2199630314232902 mean_absolute_error 0.22037037037037038 mean_absolute_error 0.20555555555555555 mean_absolute_error 0.2074074074074074 mean_absolute_error 0.22962962962962963 mean_absolute_error 0.20925925925925926 mean_absolute_error 0.22407407407407406 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 0.7718934597081842 [0.8275,0.638298] precision 0.7974333487016585 [0.857895,0.652174] precision 0.7587489133653952 [0.819549,0.612676] precision 0.77666015855832 [0.836317,0.633333] precision 0.7748526440014872 [0.832911,0.634483] precision 0.7964374506155762 [0.859416,0.644172] precision 0.7911082201237641 [0.849741,0.649351] precision 0.7636679894179893 [0.8225,0.621429] precision 0.7852405611783487 [0.836683,0.661972] precision 0.767191523073876 [0.818627,0.643939] predictive_accuracy 0.7781885397412199 predictive_accuracy 0.7966728280961184 predictive_accuracy 0.765249537892791 predictive_accuracy 0.7800369685767098 predictive_accuracy 0.7796296296296297 predictive_accuracy 0.7944444444444444 predictive_accuracy 0.7925925925925925 predictive_accuracy 0.7703703703703704 predictive_accuracy 0.7907407407407407 predictive_accuracy 0.7759259259259259 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 recall 0.7781885397412199 [0.866492,0.566038] recall 0.7966728280961183 [0.853403,0.660377] recall 0.7652495378927912 [0.856021,0.54717] recall 0.7800369685767098 [0.856021,0.597484] recall 0.7796296296296297 [0.861257,0.582278] recall 0.7944444444444444 [0.848168,0.664557] recall 0.7925925925925926 [0.858639,0.632911] recall 0.7703703703703704 [0.861257,0.550633] recall 0.7907407407407407 [0.874016,0.591195] recall 0.7759259259259259 [0.87664,0.534591] relative_absolute_error 0.5346057332163123 relative_absolute_error 0.49005525544828626 relative_absolute_error 0.5657910676539305 relative_absolute_error 0.5301506854395097 relative_absolute_error 0.5318244496691569 relative_absolute_error 0.4960715454897177 relative_absolute_error 0.5005406585121476 relative_absolute_error 0.5541700147813063 relative_absolute_error 0.5040796522393529 relative_absolute_error 0.5397667072651479 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 0.4709686404196993 root_mean_squared_error 0.4509181432409675 root_mean_squared_error 0.4845105386957118 root_mean_squared_error 0.4690021656914712 root_mean_squared_error 0.469436226095058 root_mean_squared_error 0.45338235029118146 root_mean_squared_error 0.4554200340426488 root_mean_squared_error 0.4791968589521739 root_mean_squared_error 0.45744864111642003 root_mean_squared_error 0.4733646312031287 root_relative_squared_error 1.033853239193045 root_relative_squared_error 0.9898391166451188 root_relative_squared_error 1.0635799220248403 root_relative_squared_error 1.0295365053532757 root_relative_squared_error 1.0318323703978245 root_relative_squared_error 0.9965455565475618 root_relative_squared_error 1.0010244355486297 root_relative_squared_error 1.0532864814733969 root_relative_squared_error 1.0036313968994321 root_relative_squared_error 1.0385506991511044 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 1033.851592008432 usercpu_time_millis 1066.87404600234 usercpu_time_millis 1036.3012660018285 usercpu_time_millis 1055.277482002566 usercpu_time_millis 1067.9498000026797 usercpu_time_millis 1031.3412969917408 usercpu_time_millis 1060.6537769999704 usercpu_time_millis 1052.6882340054726 usercpu_time_millis 1030.797982995864 usercpu_time_millis 1026.3123989934684 usercpu_time_millis_testing 69.31658700341359 usercpu_time_millis_testing 69.67861900193384 usercpu_time_millis_testing 69.60579600126948 usercpu_time_millis_testing 70.16688900330337 usercpu_time_millis_testing 70.19420500000706 usercpu_time_millis_testing 69.954433995008 usercpu_time_millis_testing 72.71378199948231 usercpu_time_millis_testing 70.11340700410074 usercpu_time_millis_testing 70.02086199645419 usercpu_time_millis_testing 69.85418999829562 usercpu_time_millis_training 964.5350050050183 usercpu_time_millis_training 997.1954270004062 usercpu_time_millis_training 966.695470000559 usercpu_time_millis_training 985.1105929992627 usercpu_time_millis_training 997.7555950026726 usercpu_time_millis_training 961.3868629967328 usercpu_time_millis_training 987.9399950004881 usercpu_time_millis_training 982.5748270013719 usercpu_time_millis_training 960.7771209994098 usercpu_time_millis_training 956.4582089951728 wall_clock_time_millis 1077.9850482940674 wall_clock_time_millis 1066.9617652893066 wall_clock_time_millis 1048.3837127685547 wall_clock_time_millis 1055.3832054138184 wall_clock_time_millis 1068.040132522583 wall_clock_time_millis 1031.4698219299316 wall_clock_time_millis 1060.7531070709229 wall_clock_time_millis 1052.811861038208 wall_clock_time_millis 1030.9133529663086 wall_clock_time_millis 1026.4801979064941 wall_clock_time_millis_testing 69.32926177978516 wall_clock_time_millis_testing 69.69189643859863 wall_clock_time_millis_testing 69.62060928344727 wall_clock_time_millis_testing 70.18399238586426 wall_clock_time_millis_testing 70.20950317382812 wall_clock_time_millis_testing 69.97084617614746 wall_clock_time_millis_testing 72.72934913635254 wall_clock_time_millis_testing 70.13201713562012 wall_clock_time_millis_testing 70.0387954711914 wall_clock_time_millis_testing 69.8709487915039 wall_clock_time_millis_training 1008.6557865142822 wall_clock_time_millis_training 997.269868850708 wall_clock_time_millis_training 978.7631034851074 wall_clock_time_millis_training 985.1992130279541 wall_clock_time_millis_training 997.8306293487549 wall_clock_time_millis_training 961.4989757537842 wall_clock_time_millis_training 988.0237579345703 wall_clock_time_millis_training 982.6798439025879 wall_clock_time_millis_training 960.8745574951172 wall_clock_time_millis_training 956.6092491149902