10330367 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) 8185978 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 81.8664880584341 13389 cache_size 200 13389 class_weight null 13389 coef0 0.1339044447397313 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.6339071538529285 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 60283 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 21582431 description https://api.openml.org/data/download/21582431/description.xml -1 21582432 predictions https://api.openml.org/data/download/21582432/predictions.arff area_under_roc_curve 0.8612411706148019 [0.861241,0.861241] average_cost 0 f_measure 0.8876118329788865 [0.921193,0.806771] kappa 0.7279831975282183 kb_relative_information_score 0.7090023948706294 mean_absolute_error 0.1119541080680977 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.8872961182302078 [0.9163,0.817476] predictive_accuracy 0.8880458919319022 prior_entropy 0.8731822780289229 recall 0.8880458919319023 [0.926139,0.796343] relative_absolute_error 0.26994082254190604 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3345954394012233 root_relative_squared_error 0.7347943324218629 total_cost 0 area_under_roc_curve 0.8627218545227041 [0.862722,0.862722] area_under_roc_curve 0.875045276433205 [0.875045,0.875045] area_under_roc_curve 0.8320573611248312 [0.832057,0.832057] area_under_roc_curve 0.8352184793704106 [0.835218,0.835218] area_under_roc_curve 0.8531380475843329 [0.853138,0.853138] area_under_roc_curve 0.8797634038040957 [0.879763,0.879763] area_under_roc_curve 0.910315461594539 [0.910315,0.910315] area_under_roc_curve 0.854446948107893 [0.854447,0.854447] area_under_roc_curve 0.8455900559599862 [0.84559,0.84559] area_under_roc_curve 0.8644827415440994 [0.864483,0.864483] 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 0.8886766809517644 [0.921875,0.808917] f_measure 0.8916129340055872 [0.922061,0.818462] f_measure 0.8719826408422405 [0.913043,0.773333] f_measure 0.8632162661737525 [0.903141,0.767296] f_measure 0.8810303893637227 [0.916667,0.794872] f_measure 0.8984263161162885 [0.927727,0.827586] f_measure 0.9208650614370603 [0.943197,0.866873] f_measure 0.8827747788430848 [0.918075,0.797428] f_measure 0.8768356374807987 [0.914286,0.787097] f_measure 0.8999272959468918 [0.932138,0.822742] kappa 0.7308100577191005 kappa 0.7405739736827132 kappa 0.6868093511092949 kappa 0.6704369587408213 kappa 0.7115577218401551 kappa 0.7553219534699795 kappa 0.810107948969578 kappa 0.7155328115593015 kappa 0.701462532040006 kappa 0.7552591072344793 kb_relative_information_score 0.7119004012595879 kb_relative_information_score 0.7167020612385946 kb_relative_information_score 0.6734871214275335 kb_relative_information_score 0.6446771615534918 kb_relative_information_score 0.6915398241197631 kb_relative_information_score 0.7349170363529212 kb_relative_information_score 0.7927533193304656 kb_relative_information_score 0.6963595143678919 kb_relative_information_score 0.6827539385403134 kb_relative_information_score 0.7452417991308583 mean_absolute_error 0.11090573012939002 mean_absolute_error 0.10905730129390019 mean_absolute_error 0.1256931608133087 mean_absolute_error 0.1367837338262477 mean_absolute_error 0.11851851851851852 mean_absolute_error 0.10185185185185185 mean_absolute_error 0.07962962962962963 mean_absolute_error 0.11666666666666667 mean_absolute_error 0.12222222222222222 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 0.8883715814647971 [0.917098,0.819355] precision 0.8926178057887743 [0.930667,0.801205] precision 0.8719843080190348 [0.8925,0.822695] precision 0.8632162661737524 [0.903141,0.767296] precision 0.8806909459759201 [0.911917,0.805195] precision 0.8987677183730871 [0.931398,0.819876] precision 0.9217122334455667 [0.952,0.848485] precision 0.882391785310162 [0.912145,0.810458] precision 0.8763416696459478 [0.904884,0.807947] precision 0.9007460317460318 [0.91,0.878571] predictive_accuracy 0.8890942698706099 predictive_accuracy 0.8909426987060998 predictive_accuracy 0.8743068391866913 predictive_accuracy 0.8632162661737524 predictive_accuracy 0.8814814814814815 predictive_accuracy 0.8981481481481481 predictive_accuracy 0.9203703703703704 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.8777777777777778 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 0.88909426987061 [0.926702,0.798742] recall 0.8909426987060998 [0.913613,0.836478] recall 0.8743068391866913 [0.934555,0.72956] recall 0.8632162661737524 [0.903141,0.767296] recall 0.8814814814814815 [0.921466,0.78481] recall 0.8981481481481481 [0.924084,0.835443] recall 0.9203703703703704 [0.934555,0.886076] recall 0.8833333333333333 [0.924084,0.78481] recall 0.8777777777777778 [0.923885,0.767296] recall 0.9018518518518519 [0.955381,0.773585] relative_absolute_error 0.26730286660815616 relative_absolute_error 0.26284781883135355 relative_absolute_error 0.30294324882257695 relative_absolute_error 0.3296735354833926 relative_absolute_error 0.28602323343551295 relative_absolute_error 0.24580121623364393 relative_absolute_error 0.19217185996448527 relative_absolute_error 0.28155412041308303 relative_absolute_error 0.29441820396280793 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 0.3330251193669781 root_mean_squared_error 0.33023824928966083 root_mean_squared_error 0.35453231279152636 root_mean_squared_error 0.36984285017591956 root_mean_squared_error 0.34426518632954817 root_mean_squared_error 0.3191423692521127 root_mean_squared_error 0.2821872244266732 root_mean_squared_error 0.3415650255319866 root_mean_squared_error 0.3496029493900505 root_mean_squared_error 0.31328604844159297 root_relative_squared_error 0.73104463618508 root_relative_squared_error 0.7249270002973124 root_relative_squared_error 0.7782564453792247 root_relative_squared_error 0.8118655804896545 root_relative_squared_error 0.756703346502994 root_relative_squared_error 0.701482776689466 root_relative_squared_error 0.6202544594783723 root_relative_squared_error 0.7507683266614721 root_relative_squared_error 0.7670205240968271 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 1362.5184379925486 usercpu_time_millis 1403.7696470040828 usercpu_time_millis 1402.3638500075322 usercpu_time_millis 1409.610104004969 usercpu_time_millis 1407.0314140117262 usercpu_time_millis 1373.4493629890494 usercpu_time_millis 1452.9042820067843 usercpu_time_millis 1361.8624809896573 usercpu_time_millis 1442.283717013197 usercpu_time_millis 1402.7673310047248 usercpu_time_millis_testing 36.95710199826863 usercpu_time_millis_testing 37.585514000966214 usercpu_time_millis_testing 37.79039700748399 usercpu_time_millis_testing 37.18723099154886 usercpu_time_millis_testing 37.242703008814715 usercpu_time_millis_testing 37.58020399254747 usercpu_time_millis_testing 38.22644799947739 usercpu_time_millis_testing 38.523149996763095 usercpu_time_millis_testing 37.41089400136843 usercpu_time_millis_testing 38.337119010975584 usercpu_time_millis_training 1325.56133599428 usercpu_time_millis_training 1366.1841330031166 usercpu_time_millis_training 1364.5734530000482 usercpu_time_millis_training 1372.42287301342 usercpu_time_millis_training 1369.7887110029114 usercpu_time_millis_training 1335.869158996502 usercpu_time_millis_training 1414.677834007307 usercpu_time_millis_training 1323.3393309928942 usercpu_time_millis_training 1404.8728230118286 usercpu_time_millis_training 1364.4302119937493 wall_clock_time_millis 1410.6128215789795 wall_clock_time_millis 1555.9096336364746 wall_clock_time_millis 1634.6335411071777 wall_clock_time_millis 1513.782262802124 wall_clock_time_millis 1487.1418476104736 wall_clock_time_millis 1545.6924438476562 wall_clock_time_millis 1783.6105823516846 wall_clock_time_millis 1429.9886226654053 wall_clock_time_millis 1696.150779724121 wall_clock_time_millis 1469.0146446228027 wall_clock_time_millis_testing 36.96751594543457 wall_clock_time_millis_testing 37.5974178314209 wall_clock_time_millis_testing 37.80865669250488 wall_clock_time_millis_testing 37.19902038574219 wall_clock_time_millis_testing 37.25600242614746 wall_clock_time_millis_testing 69.59247589111328 wall_clock_time_millis_testing 38.24329376220703 wall_clock_time_millis_testing 38.53917121887207 wall_clock_time_millis_testing 53.42698097229004 wall_clock_time_millis_testing 38.378000259399414 wall_clock_time_millis_training 1373.645305633545 wall_clock_time_millis_training 1518.3122158050537 wall_clock_time_millis_training 1596.8248844146729 wall_clock_time_millis_training 1476.5832424163818 wall_clock_time_millis_training 1449.8858451843262 wall_clock_time_millis_training 1476.099967956543 wall_clock_time_millis_training 1745.3672885894775 wall_clock_time_millis_training 1391.4494514465332 wall_clock_time_millis_training 1642.723798751831 wall_clock_time_millis_training 1430.6366443634033