10326892 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) 8182562 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 2.653098517006086 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.16118152154954246 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.018933306231401107 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 32253 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 21575470 description https://api.openml.org/data/download/21575470/description.xml -1 21575471 predictions https://api.openml.org/data/download/21575471/predictions.arff area_under_roc_curve 0.7605462146849363 [0.760546,0.760546] average_cost 0 f_measure 0.7998805940198812 [0.857556,0.661038] kappa 0.518607368000994 kb_relative_information_score 0.4786092496525122 mean_absolute_error 0.2005921539600296 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.8003931353069179 [0.860496,0.655707] predictive_accuracy 0.7994078460399705 prior_entropy 0.8731822780289229 recall 0.7994078460399704 [0.854636,0.666456] relative_absolute_error 0.4836625646866549 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.44787515443483755 root_relative_squared_error 0.9835642879658508 total_cost 0 area_under_roc_curve 0.7482383351443906 [0.748238,0.748238] area_under_roc_curve 0.7820474826303139 [0.782047,0.782047] area_under_roc_curve 0.7398580789620995 [0.739858,0.739858] area_under_roc_curve 0.7500740887088808 [0.750074,0.750074] area_under_roc_curve 0.7550533501226059 [0.755053,0.755053] area_under_roc_curve 0.7796076612101531 [0.779608,0.779608] area_under_roc_curve 0.7967393465438399 [0.796739,0.796739] area_under_roc_curve 0.7457750679302805 [0.745775,0.745775] area_under_roc_curve 0.7569702372109147 [0.75697,0.75697] area_under_roc_curve 0.7514732828207795 [0.751473,0.751473] 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 0.7938526373157646 [0.855657,0.645367] f_measure 0.8130840766651316 [0.864721,0.689024] f_measure 0.7851836366427665 [0.848564,0.632911] f_measure 0.7942486286544684 [0.85528,0.647619] f_measure 0.7937040860982584 [0.852243,0.652174] f_measure 0.806624938981138 [0.857909,0.682635] f_measure 0.8180962186767702 [0.865229,0.704142] f_measure 0.7918031813865146 [0.854167,0.641026] f_measure 0.8009150533707852 [0.860495,0.658147] f_measure 0.7997118174509867 [0.861578,0.651466] kappa 0.5010759299108515 kappa 0.5539262444828867 kappa 0.4814839296042302 kappa 0.5029178772753233 kappa 0.5044897424133186 kappa 0.5411402552427371 kappa 0.5702005730659025 kappa 0.4952260132202712 kappa 0.5186925229908036 kappa 0.5132922268270493 kb_relative_information_score 0.4670157423302383 kb_relative_information_score 0.5102306821412997 kb_relative_information_score 0.44300744243520407 kb_relative_information_score 0.4670157423302383 kb_relative_information_score 0.46019469220958614 kb_relative_information_score 0.48911283369835806 kb_relative_information_score 0.5180309751871299 kb_relative_information_score 0.46019469220958614 kb_relative_information_score 0.4856768397547505 kb_relative_information_score 0.4856768397547506 mean_absolute_error 0.20517560073937152 mean_absolute_error 0.18853974121996303 mean_absolute_error 0.2144177449168207 mean_absolute_error 0.20517560073937152 mean_absolute_error 0.2074074074074074 mean_absolute_error 0.1962962962962963 mean_absolute_error 0.18518518518518517 mean_absolute_error 0.2074074074074074 mean_absolute_error 0.19814814814814816 mean_absolute_error 0.19814814814814816 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 0.7930287888805707 [0.850129,0.655844] precision 0.815299538498467 [0.876344,0.668639] precision 0.7848080906044086 [0.846354,0.636943] precision 0.793725867478178 [0.851948,0.653846] precision 0.7950236887120645 [0.859043,0.640244] precision 0.8114168239168239 [0.879121,0.647727] precision 0.8242078189300411 [0.891667,0.661111] precision 0.7911082201237641 [0.849741,0.649351] precision 0.8001287860096151 [0.854922,0.668831] precision 0.7983111938469082 [0.84949,0.675676] predictive_accuracy 0.7948243992606285 predictive_accuracy 0.811460258780037 predictive_accuracy 0.7855822550831794 predictive_accuracy 0.7948243992606285 predictive_accuracy 0.7925925925925925 predictive_accuracy 0.8037037037037037 predictive_accuracy 0.8148148148148148 predictive_accuracy 0.7925925925925925 predictive_accuracy 0.8018518518518519 predictive_accuracy 0.8018518518518519 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 0.7948243992606284 [0.861257,0.63522] recall 0.8114602587800369 [0.853403,0.710692] recall 0.7855822550831792 [0.850785,0.628931] recall 0.7948243992606284 [0.858639,0.641509] recall 0.7925925925925926 [0.84555,0.664557] recall 0.8037037037037037 [0.837696,0.721519] recall 0.8148148148148148 [0.840314,0.753165] recall 0.7925925925925926 [0.858639,0.632911] recall 0.8018518518518518 [0.866142,0.647799] recall 0.8018518518518518 [0.874016,0.628931] relative_absolute_error 0.49451030322508877 relative_absolute_error 0.45441487323386537 relative_absolute_error 0.5167855421091019 relative_absolute_error 0.49451030322508877 relative_absolute_error 0.5005406585121476 relative_absolute_error 0.4737259803775683 relative_absolute_error 0.446911302242989 relative_absolute_error 0.5005406585121476 relative_absolute_error 0.4773143609700068 relative_absolute_error 0.4773143609700068 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 0.45296313397380533 root_mean_squared_error 0.43421163183402056 root_mean_squared_error 0.4630526373068408 root_mean_squared_error 0.45296313397380533 root_mean_squared_error 0.4554200340426488 root_mean_squared_error 0.44305337860837524 root_mean_squared_error 0.4303314829119352 root_mean_squared_error 0.4554200340426488 root_mean_squared_error 0.4451383472002251 root_mean_squared_error 0.4451383472002251 root_relative_squared_error 0.9943282059640595 root_relative_squared_error 0.9531655901056537 root_relative_squared_error 1.016476316915592 root_relative_squared_error 0.9943282059640595 root_relative_squared_error 1.0010244355486297 root_relative_squared_error 0.9738422227552442 root_relative_squared_error 0.9458791831287424 root_relative_squared_error 1.0010244355486297 root_relative_squared_error 0.9766229059588963 root_relative_squared_error 0.9766229059588963 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 939.2839839929366 usercpu_time_millis 933.467153008678 usercpu_time_millis 935.6441570052993 usercpu_time_millis 908.617613997194 usercpu_time_millis 915.6391900032759 usercpu_time_millis 913.5895889994572 usercpu_time_millis 926.1069939966546 usercpu_time_millis 900.4620470004738 usercpu_time_millis 897.8006339893909 usercpu_time_millis 917.080116996658 usercpu_time_millis_testing 71.00429199635983 usercpu_time_millis_testing 68.99941400479292 usercpu_time_millis_testing 68.7085930039757 usercpu_time_millis_testing 69.20159600122133 usercpu_time_millis_testing 69.1122650023317 usercpu_time_millis_testing 71.29230999998981 usercpu_time_millis_testing 69.81124499725411 usercpu_time_millis_testing 70.15593600226566 usercpu_time_millis_testing 68.65897799434606 usercpu_time_millis_testing 69.70976400043583 usercpu_time_millis_training 868.2796919965767 usercpu_time_millis_training 864.4677390038851 usercpu_time_millis_training 866.9355640013237 usercpu_time_millis_training 839.4160179959727 usercpu_time_millis_training 846.5269250009442 usercpu_time_millis_training 842.2972789994674 usercpu_time_millis_training 856.2957489994005 usercpu_time_millis_training 830.3061109982082 usercpu_time_millis_training 829.1416559950449 usercpu_time_millis_training 847.3703529962222 wall_clock_time_millis 955.3935527801514 wall_clock_time_millis 982.0346832275391 wall_clock_time_millis 1167.778491973877 wall_clock_time_millis 1068.7124729156494 wall_clock_time_millis 1187.7450942993164 wall_clock_time_millis 921.8440055847168 wall_clock_time_millis 926.318883895874 wall_clock_time_millis 1000.5629062652588 wall_clock_time_millis 977.9243469238281 wall_clock_time_millis 1149.287462234497 wall_clock_time_millis_testing 71.05588912963867 wall_clock_time_millis_testing 69.03338432312012 wall_clock_time_millis_testing 68.72391700744629 wall_clock_time_millis_testing 117.21205711364746 wall_clock_time_millis_testing 101.12905502319336 wall_clock_time_millis_testing 71.31052017211914 wall_clock_time_millis_testing 69.82612609863281 wall_clock_time_millis_testing 70.17040252685547 wall_clock_time_millis_testing 68.67694854736328 wall_clock_time_millis_testing 145.72978019714355 wall_clock_time_millis_training 884.3376636505127 wall_clock_time_millis_training 913.001298904419 wall_clock_time_millis_training 1099.0545749664307 wall_clock_time_millis_training 951.500415802002 wall_clock_time_millis_training 1086.616039276123 wall_clock_time_millis_training 850.5334854125977 wall_clock_time_millis_training 856.4927577972412 wall_clock_time_millis_training 930.3925037384033 wall_clock_time_millis_training 909.2473983764648 wall_clock_time_millis_training 1003.5576820373535