10330401 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) 8186011 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 166.75510985968455 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.7160996053142499 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 56722 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 21582499 description https://api.openml.org/data/download/21582499/description.xml -1 21582500 predictions https://api.openml.org/data/download/21582500/predictions.arff area_under_roc_curve 0.8645247143516773 [0.864525,0.864525] average_cost 0 f_measure 0.8897506819073578 [0.922535,0.810828] kappa 0.7333745761371617 kb_relative_information_score 0.7142932604184375 mean_absolute_error 0.10991857883049592 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.8894920800620283 [0.918701,0.819176] predictive_accuracy 0.8900814211695041 prior_entropy 0.8731822780289229 recall 0.8900814211695041 [0.926401,0.802648] relative_absolute_error 0.26503280758659864 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.33153970928155185 root_relative_squared_error 0.7280837413350162 total_cost 0 area_under_roc_curve 0.850925285653133 [0.850925,0.850925] area_under_roc_curve 0.8682291152161744 [0.868229,0.868229] area_under_roc_curve 0.830748460601271 [0.830748,0.830748] area_under_roc_curve 0.8354901379696402 [0.83549,0.83549] area_under_roc_curve 0.8531380475843329 [0.853138,0.853138] area_under_roc_curve 0.8950394326993174 [0.895039,0.895039] area_under_roc_curve 0.9255914904897607 [0.925591,0.925591] area_under_roc_curve 0.8633938630790642 [0.863394,0.863394] area_under_roc_curve 0.8550240182241372 [0.855024,0.855024] area_under_roc_curve 0.8681473778041896 [0.868147,0.868147] 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 0.8840364051179098 [0.920103,0.797386] f_measure 0.8892953046996668 [0.92126,0.8125] f_measure 0.8702448342401287 [0.911652,0.770764] f_measure 0.8570642939203947 [0.896552,0.762195] f_measure 0.8810303893637227 [0.916667,0.794872] f_measure 0.9096670803023236 [0.935441,0.847352] f_measure 0.9320218109092282 [0.950993,0.886154] f_measure 0.8902176500276509 [0.923277,0.810289] f_measure 0.882781760395883 [0.917862,0.798722] f_measure 0.9003698181916004 [0.931789,0.825083] kappa 0.7176599326599327 kappa 0.7337642099046933 kappa 0.6828057951310703 kappa 0.6588847751927958 kappa 0.7115577218401551 kappa 0.7828156806093636 kappa 0.8372009647350237 kappa 0.7335942203491872 kappa 0.7166133546581367 kappa 0.7571035747021082 kb_relative_information_score 0.7022970813015745 kb_relative_information_score 0.7119004012595879 kb_relative_information_score 0.6686854614485267 kb_relative_information_score 0.6254705216374643 kb_relative_information_score 0.6915398241197631 kb_relative_information_score 0.7638351778416934 kb_relative_information_score 0.8216714608192379 kb_relative_information_score 0.7156382753604066 kb_relative_information_score 0.697174214061208 kb_relative_information_score 0.7452417991308582 mean_absolute_error 0.11460258780036968 mean_absolute_error 0.11090573012939002 mean_absolute_error 0.12754158964879853 mean_absolute_error 0.14417744916820702 mean_absolute_error 0.11851851851851852 mean_absolute_error 0.09074074074074075 mean_absolute_error 0.06851851851851852 mean_absolute_error 0.10925925925925926 mean_absolute_error 0.11666666666666667 mean_absolute_error 0.09814814814814815 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 0.8837081094764674 [0.906091,0.829932] precision 0.8895239585744076 [0.923684,0.807453] precision 0.870091320044664 [0.892231,0.816901] precision 0.8589456040688249 [0.908602,0.739645] precision 0.8806909459759201 [0.911917,0.805195] precision 0.9102526734640126 [0.941645,0.834356] precision 0.9331513321287126 [0.962466,0.862275] precision 0.8898723773172778 [0.917313,0.823529] precision 0.8824052890115065 [0.911917,0.811688] precision 0.9005716891133558 [0.914141,0.868056] predictive_accuracy 0.8853974121996303 predictive_accuracy 0.8890942698706099 predictive_accuracy 0.8724584103512015 predictive_accuracy 0.8558225508317929 predictive_accuracy 0.8814814814814815 predictive_accuracy 0.9092592592592592 predictive_accuracy 0.9314814814814816 predictive_accuracy 0.8907407407407407 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.9018518518518519 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 0.8853974121996303 [0.934555,0.767296] recall 0.88909426987061 [0.918848,0.81761] recall 0.8724584103512015 [0.931937,0.72956] recall 0.8558225508317929 [0.884817,0.786164] recall 0.8814814814814815 [0.921466,0.78481] recall 0.9092592592592592 [0.929319,0.860759] recall 0.9314814814814815 [0.939791,0.911392] recall 0.8907407407407407 [0.929319,0.797468] recall 0.8833333333333333 [0.923885,0.786164] recall 0.9018518518518519 [0.950131,0.786164] relative_absolute_error 0.27621296216176133 relative_absolute_error 0.26730286660815616 relative_absolute_error 0.30739829659937956 relative_absolute_error 0.347493726590603 relative_absolute_error 0.28602323343551295 relative_absolute_error 0.2189865380990646 relative_absolute_error 0.1653571818299059 relative_absolute_error 0.2636776683233635 relative_absolute_error 0.2810355583281348 relative_absolute_error 0.23642673954589122 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 0.3385300397311436 root_mean_squared_error 0.3330251193669781 root_mean_squared_error 0.35712965383568823 root_mean_squared_error 0.37970705704293545 root_mean_squared_error 0.34426518632954817 root_mean_squared_error 0.30123203803835463 root_mean_squared_error 0.26176042198643884 root_mean_squared_error 0.3305438840143004 root_mean_squared_error 0.3415650255319866 root_mean_squared_error 0.31328604844159297 root_relative_squared_error 0.7431288372582565 root_relative_squared_error 0.73104463618508 root_relative_squared_error 0.7839580340230096 root_relative_squared_error 0.8335191288287682 root_relative_squared_error 0.756703346502994 root_relative_squared_error 0.6621154281901197 root_relative_squared_error 0.5753558453324603 root_relative_squared_error 0.7265435865486772 root_relative_squared_error 0.7493855110598403 root_relative_squared_error 0.6873421104917409 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 1790.6490989989834 usercpu_time_millis 1883.8302369986195 usercpu_time_millis 1955.8567789936205 usercpu_time_millis 1929.8732629977167 usercpu_time_millis 1885.1768180029467 usercpu_time_millis 1783.2243599987123 usercpu_time_millis 1842.3944599780953 usercpu_time_millis 1879.2008139862446 usercpu_time_millis 1815.3076410089852 usercpu_time_millis 1913.3375009987503 usercpu_time_millis_testing 35.497229007887654 usercpu_time_millis_testing 35.997756000142545 usercpu_time_millis_testing 35.86612100480124 usercpu_time_millis_testing 35.56761599611491 usercpu_time_millis_testing 35.85563199885655 usercpu_time_millis_testing 35.584644007030874 usercpu_time_millis_testing 35.96013499191031 usercpu_time_millis_testing 35.433047989499755 usercpu_time_millis_testing 41.50132701033726 usercpu_time_millis_testing 37.13273900211789 usercpu_time_millis_training 1755.1518699910957 usercpu_time_millis_training 1847.832480998477 usercpu_time_millis_training 1919.9906579888193 usercpu_time_millis_training 1894.3056470016018 usercpu_time_millis_training 1849.3211860040901 usercpu_time_millis_training 1747.6397159916814 usercpu_time_millis_training 1806.434324986185 usercpu_time_millis_training 1843.7677659967449 usercpu_time_millis_training 1773.806313998648 usercpu_time_millis_training 1876.2047619966324 wall_clock_time_millis 1902.846097946167 wall_clock_time_millis 1932.0409297943115 wall_clock_time_millis 2220.1170921325684 wall_clock_time_millis 2138.0817890167236 wall_clock_time_millis 2381.446123123169 wall_clock_time_millis 1924.5223999023438 wall_clock_time_millis 2115.682363510132 wall_clock_time_millis 2162.029504776001 wall_clock_time_millis 1815.566062927246 wall_clock_time_millis 1989.635705947876 wall_clock_time_millis_testing 35.51006317138672 wall_clock_time_millis_testing 36.01217269897461 wall_clock_time_millis_testing 35.87913513183594 wall_clock_time_millis_testing 35.58063507080078 wall_clock_time_millis_testing 67.88492202758789 wall_clock_time_millis_testing 35.599470138549805 wall_clock_time_millis_testing 35.971641540527344 wall_clock_time_millis_testing 43.45130920410156 wall_clock_time_millis_testing 41.51725769042969 wall_clock_time_millis_testing 37.145137786865234 wall_clock_time_millis_training 1867.3360347747803 wall_clock_time_millis_training 1896.028757095337 wall_clock_time_millis_training 2184.2379570007324 wall_clock_time_millis_training 2102.501153945923 wall_clock_time_millis_training 2313.561201095581 wall_clock_time_millis_training 1888.922929763794 wall_clock_time_millis_training 2079.7107219696045 wall_clock_time_millis_training 2118.5781955718994 wall_clock_time_millis_training 1774.0488052368164 wall_clock_time_millis_training 1952.4905681610107