10326669 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) 8182340 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 4.043069327490065 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.006149207135497997 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 48285 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 21575024 description https://api.openml.org/data/download/21575024/description.xml -1 21575025 predictions https://api.openml.org/data/download/21575025/predictions.arff area_under_roc_curve 0.7268863820873713 [0.726886,0.726886] average_cost 0 f_measure 0.779081153681262 [0.847247,0.614984] kappa 0.46246648161849613 kb_relative_information_score 0.43147244749932717 mean_absolute_error 0.21872686898593635 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.7774961508282487 [0.836224,0.636119] predictive_accuracy 0.7812731310140637 prior_entropy 0.8731822780289229 recall 0.7812731310140637 [0.858565,0.595208] relative_absolute_error 0.527388516106666 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.4676824445988286 root_relative_squared_error 1.027062443766126 total_cost 0 area_under_roc_curve 0.7162649412229576 [0.716265,0.716265] area_under_roc_curve 0.7542724488787909 [0.754272,0.754272] area_under_roc_curve 0.7015953768645659 [0.701595,0.701595] area_under_roc_curve 0.7298972636570187 [0.729897,0.729897] area_under_roc_curve 0.7186029557956126 [0.718603,0.718603] area_under_roc_curve 0.7442507787129699 [0.744251,0.744251] area_under_roc_curve 0.7299522831201538 [0.729952,0.729952] area_under_roc_curve 0.7236231691961033 [0.723623,0.723623] area_under_roc_curve 0.7273560144604566 [0.727356,0.727356] area_under_roc_curve 0.7231713960283267 [0.723171,0.723171] 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 0.7937170338850421 [0.852632,0.652174] f_measure 0.761175274615889 [0.837388,0.578073] f_measure 0.780201142917873 [0.84715,0.619355] f_measure 0.7746263603019762 [0.845758,0.602649] f_measure 0.7859624756335283 [0.847368,0.6375] f_measure 0.7814187571021429 [0.848642,0.618893] f_measure 0.7772196564623851 [0.846452,0.609836] f_measure 0.7805330512956108 [0.849032,0.616393] f_measure 0.7807236268692868 [0.851662,0.610738] kappa 0.4473106196046381 kappa 0.5048378661087868 kappa 0.4161787823426945 kappa 0.4666477291715403 kappa 0.44886711573790566 kappa 0.48490230905861453 kappa 0.4677158455213318 kappa 0.4565658615790542 kappa 0.4658076298701299 kappa 0.4633218526705393 kb_relative_information_score 0.42380080251917723 kb_relative_information_score 0.4622140823512314 kb_relative_information_score 0.39018918266612895 kb_relative_information_score 0.43340412247719035 kb_relative_information_score 0.42163717022455693 kb_relative_information_score 0.4409159312170715 kb_relative_information_score 0.43609624096894267 kb_relative_information_score 0.4264568604726854 kb_relative_information_score 0.4376092546851013 kb_relative_information_score 0.4424160131920665 mean_absolute_error 0.22181146025878004 mean_absolute_error 0.20702402957486138 mean_absolute_error 0.23475046210720887 mean_absolute_error 0.21811460258780038 mean_absolute_error 0.2222222222222222 mean_absolute_error 0.21481481481481482 mean_absolute_error 0.21666666666666667 mean_absolute_error 0.22037037037037038 mean_absolute_error 0.21666666666666667 mean_absolute_error 0.21481481481481482 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 0.7945506179519537 [0.857143,0.644172] precision 0.7587489133653952 [0.819549,0.612676] precision 0.7788879859658772 [0.838462,0.635762] precision 0.7726220538720538 [0.830808,0.631944] precision 0.7868312757201645 [0.851852,0.62963] precision 0.7799784868718423 [0.838875,0.637584] precision 0.7755157816590024 [0.834606,0.632653] precision 0.7787306167860372 [0.835025,0.643836] precision 0.7786760118090066 [0.830424,0.654676] predictive_accuracy 0.7781885397412199 predictive_accuracy 0.7929759704251386 predictive_accuracy 0.765249537892791 predictive_accuracy 0.7818853974121996 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.7851851851851852 predictive_accuracy 0.7833333333333333 predictive_accuracy 0.7796296296296297 predictive_accuracy 0.7833333333333333 predictive_accuracy 0.7851851851851852 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 0.7929759704251387 [0.848168,0.660377] recall 0.7652495378927912 [0.856021,0.54717] recall 0.7818853974121996 [0.856021,0.603774] recall 0.7777777777777778 [0.861257,0.575949] recall 0.7851851851851852 [0.842932,0.64557] recall 0.7833333333333333 [0.858639,0.601266] recall 0.7796296296296297 [0.858639,0.588608] recall 0.7833333333333333 [0.863517,0.591195] recall 0.7851851851851852 [0.874016,0.572327] relative_absolute_error 0.5346057332163123 relative_absolute_error 0.49896535100189154 relative_absolute_error 0.5657910676539305 relative_absolute_error 0.5256956376627071 relative_absolute_error 0.5362935626915867 relative_absolute_error 0.5184171106018671 relative_absolute_error 0.5228862236242972 relative_absolute_error 0.5318244496691569 relative_absolute_error 0.5219231797522504 relative_absolute_error 0.5174622978740261 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 0.4549989335974991 root_mean_squared_error 0.4845105386957118 root_mean_squared_error 0.4670274109597855 root_mean_squared_error 0.4714045207910317 root_mean_squared_error 0.46348119143587135 root_mean_squared_error 0.4654746681256314 root_mean_squared_error 0.469436226095058 root_mean_squared_error 0.4654746681256314 root_mean_squared_error 0.46348119143587135 root_relative_squared_error 1.033853239193045 root_relative_squared_error 0.9987971192943149 root_relative_squared_error 1.0635799220248403 root_relative_squared_error 1.025201595550904 root_relative_squared_error 1.0361587305483444 root_relative_squared_error 1.0187430577572072 root_relative_squared_error 1.023124768549402 root_relative_squared_error 1.0318323703978245 root_relative_squared_error 1.0212403085340769 root_relative_squared_error 1.0168666682715384 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 939.0589160029776 usercpu_time_millis 948.9497260074131 usercpu_time_millis 996.154505002778 usercpu_time_millis 1016.3466130034067 usercpu_time_millis 948.7609660063754 usercpu_time_millis 957.8023630019743 usercpu_time_millis 962.1543110042694 usercpu_time_millis 940.676143996825 usercpu_time_millis 959.6754280064488 usercpu_time_millis 959.6285780062317 usercpu_time_millis_testing 71.43977899977472 usercpu_time_millis_testing 72.27394100482343 usercpu_time_millis_testing 76.02936000330374 usercpu_time_millis_testing 71.89631700020982 usercpu_time_millis_testing 71.55459500063444 usercpu_time_millis_testing 72.99473400053103 usercpu_time_millis_testing 72.1637640017434 usercpu_time_millis_testing 71.55261599837104 usercpu_time_millis_testing 74.57960300234845 usercpu_time_millis_testing 71.23575900186552 usercpu_time_millis_training 867.6191370032029 usercpu_time_millis_training 876.6757850025897 usercpu_time_millis_training 920.1251449994743 usercpu_time_millis_training 944.4502960031969 usercpu_time_millis_training 877.206371005741 usercpu_time_millis_training 884.8076290014433 usercpu_time_millis_training 889.990547002526 usercpu_time_millis_training 869.1235279984539 usercpu_time_millis_training 885.0958250041003 usercpu_time_millis_training 888.3928190043662 wall_clock_time_millis 1035.1784229278564 wall_clock_time_millis 949.0611553192139 wall_clock_time_millis 1020.3111171722412 wall_clock_time_millis 1016.4923667907715 wall_clock_time_millis 948.8863945007324 wall_clock_time_millis 957.9982757568359 wall_clock_time_millis 962.2480869293213 wall_clock_time_millis 940.77467918396 wall_clock_time_millis 959.8009586334229 wall_clock_time_millis 959.7408771514893 wall_clock_time_millis_testing 71.45500183105469 wall_clock_time_millis_testing 72.28851318359375 wall_clock_time_millis_testing 76.04598999023438 wall_clock_time_millis_testing 71.91205024719238 wall_clock_time_millis_testing 71.57111167907715 wall_clock_time_millis_testing 73.01068305969238 wall_clock_time_millis_testing 72.17907905578613 wall_clock_time_millis_testing 71.56944274902344 wall_clock_time_millis_testing 74.59473609924316 wall_clock_time_millis_testing 71.25329971313477 wall_clock_time_millis_training 963.7234210968018 wall_clock_time_millis_training 876.7726421356201 wall_clock_time_millis_training 944.2651271820068 wall_clock_time_millis_training 944.5803165435791 wall_clock_time_millis_training 877.3152828216553 wall_clock_time_millis_training 884.9875926971436 wall_clock_time_millis_training 890.0690078735352 wall_clock_time_millis_training 869.2052364349365 wall_clock_time_millis_training 885.2062225341797 wall_clock_time_millis_training 888.4875774383545