10326812 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) 8182482 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 7521.174684215737 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00023184186668424875 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 49099 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 21575310 description https://api.openml.org/data/download/21575310/description.xml -1 21575311 predictions https://api.openml.org/data/download/21575311/predictions.arff area_under_roc_curve 0.7269592102716474 [0.726959,0.726959] average_cost 0 f_measure 0.7802808055103794 [0.848821,0.615284] kappa 0.4644469152157457 kb_relative_information_score 0.43580133749298366 mean_absolute_error 0.21706143597335306 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.7785132406680734 [0.835575,0.641148] predictive_accuracy 0.7829385640266469 prior_entropy 0.8731822780289229 recall 0.782938564026647 [0.862493,0.591425] relative_absolute_error 0.5233728675068691 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.4658985254037118 root_relative_squared_error 1.0231448359337654 total_cost 0 area_under_roc_curve 0.7144291876584674 [0.714429,0.714429] area_under_roc_curve 0.7519098422733709 [0.75191,0.75191] area_under_roc_curve 0.7047400309526162 [0.70474,0.70474] area_under_roc_curve 0.7298972636570187 [0.729897,0.729897] area_under_roc_curve 0.7230764132811983 [0.723076,0.723076] area_under_roc_curve 0.7545065942077009 [0.754507,0.754507] area_under_roc_curve 0.7515574259394261 [0.751557,0.751557] area_under_roc_curve 0.7027801709854861 [0.70278,0.70278] area_under_roc_curve 0.7312930223344724 [0.731293,0.731293] 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 0.7735744299580666 [0.846939,0.597315] f_measure 0.7946348801391027 [0.854902,0.649842] f_measure 0.7633171152457243 [0.838462,0.582781] f_measure 0.780201142917873 [0.84715,0.619355] f_measure 0.7783825876302766 [0.848329,0.609272] f_measure 0.7950058379801458 [0.854139,0.652038] f_measure 0.7971817602205753 [0.858257,0.649518] f_measure 0.7639227524284996 [0.840358,0.579125] f_measure 0.7854673499151614 [0.85347,0.622517] f_measure 0.7693647039693844 [0.846641,0.584192] kappa 0.44520407465645717 kappa 0.5047462743189858 kappa 0.42187128947993363 kappa 0.4666477291715403 kappa 0.45805266380894044 kappa 0.5061952151848678 kappa 0.5078266104756171 kappa 0.4203819468297039 kappa 0.47655731850415783 kappa 0.43263519849953097 kb_relative_information_score 0.42380080251917734 kb_relative_information_score 0.4670157423302382 kb_relative_information_score 0.39499084264513584 kb_relative_information_score 0.43340412247719046 kb_relative_information_score 0.43127655072081417 kb_relative_information_score 0.46501438245771454 kb_relative_information_score 0.47465376295397205 kb_relative_information_score 0.3975387189839136 kb_relative_information_score 0.4520295302059963 kb_relative_information_score 0.4183822206572419 mean_absolute_error 0.22181146025878004 mean_absolute_error 0.20517560073937152 mean_absolute_error 0.23290203327171904 mean_absolute_error 0.21811460258780038 mean_absolute_error 0.21851851851851853 mean_absolute_error 0.20555555555555555 mean_absolute_error 0.20185185185185187 mean_absolute_error 0.23148148148148148 mean_absolute_error 0.2111111111111111 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 0.7713278049174864 [0.825871,0.640288] precision 0.7944512252003585 [0.853786,0.651899] precision 0.7609989375285356 [0.821608,0.615385] precision 0.7788879859658772 [0.838462,0.635762] precision 0.7764403292181071 [0.833333,0.638889] precision 0.7956197614222164 [0.85752,0.645963] precision 0.7963649772283303 [0.852713,0.660131] precision 0.7614201240836092 [0.820449,0.618705] precision 0.7835872775419374 [0.836272,0.657343] precision 0.767191523073876 [0.818627,0.643939] predictive_accuracy 0.7781885397412199 predictive_accuracy 0.7948243992606285 predictive_accuracy 0.7670979667282809 predictive_accuracy 0.7818853974121996 predictive_accuracy 0.7814814814814816 predictive_accuracy 0.7944444444444444 predictive_accuracy 0.798148148148148 predictive_accuracy 0.7685185185185185 predictive_accuracy 0.7888888888888889 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 [0.86911,0.559748] recall 0.7948243992606284 [0.856021,0.647799] recall 0.767097966728281 [0.856021,0.553459] recall 0.7818853974121996 [0.856021,0.603774] recall 0.7814814814814814 [0.863874,0.582278] recall 0.7944444444444444 [0.850785,0.658228] recall 0.7981481481481482 [0.863874,0.639241] recall 0.7685185185185185 [0.861257,0.544304] recall 0.7888888888888889 [0.871391,0.591195] recall 0.7759259259259259 [0.87664,0.534591] relative_absolute_error 0.5346057332163123 relative_absolute_error 0.49451030322508877 relative_absolute_error 0.5613360198771279 relative_absolute_error 0.5256956376627071 relative_absolute_error 0.527355336646727 relative_absolute_error 0.4960715454897177 relative_absolute_error 0.487133319444858 relative_absolute_error 0.5586391278037361 relative_absolute_error 0.5085405341175773 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 0.45296313397380533 root_mean_squared_error 0.48259924706915885 root_mean_squared_error 0.4670274109597855 root_mean_squared_error 0.46745964373250287 root_mean_squared_error 0.45338235029118146 root_mean_squared_error 0.44927925820346065 root_mean_squared_error 0.4811252243246881 root_mean_squared_error 0.45946829173634074 root_mean_squared_error 0.4733646312031287 root_relative_squared_error 1.033853239193045 root_relative_squared_error 0.9943282059640595 root_relative_squared_error 1.0593843241238985 root_relative_squared_error 1.025201595550904 root_relative_squared_error 1.02748779375233 root_relative_squared_error 0.9965455565475618 root_relative_squared_error 0.9875268592262004 root_relative_squared_error 1.05752507598892 root_relative_squared_error 1.0080624621398335 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 1570.9979690072942 usercpu_time_millis 1623.1367509972188 usercpu_time_millis 1568.2629100047052 usercpu_time_millis 1574.6930299937958 usercpu_time_millis 1566.8868539942196 usercpu_time_millis 1578.4579620085424 usercpu_time_millis 1567.1432279996225 usercpu_time_millis 1577.4767999973847 usercpu_time_millis 1564.3219280027552 usercpu_time_millis 1561.5804380067857 usercpu_time_millis_testing 72.57011100591626 usercpu_time_millis_testing 70.20722799643409 usercpu_time_millis_testing 69.8075480031548 usercpu_time_millis_testing 69.80145999841625 usercpu_time_millis_testing 70.04339599370724 usercpu_time_millis_testing 68.74632800463587 usercpu_time_millis_testing 70.25270399753936 usercpu_time_millis_testing 69.48165899666492 usercpu_time_millis_testing 69.74539100338006 usercpu_time_millis_testing 69.9663870036602 usercpu_time_millis_training 1498.427858001378 usercpu_time_millis_training 1552.9295230007847 usercpu_time_millis_training 1498.4553620015504 usercpu_time_millis_training 1504.8915699953795 usercpu_time_millis_training 1496.8434580005123 usercpu_time_millis_training 1509.7116340039065 usercpu_time_millis_training 1496.890524002083 usercpu_time_millis_training 1507.9951410007197 usercpu_time_millis_training 1494.576536999375 usercpu_time_millis_training 1491.6140510031255 wall_clock_time_millis 1658.8339805603027 wall_clock_time_millis 1928.2076358795166 wall_clock_time_millis 1916.4197444915771 wall_clock_time_millis 1637.73775100708 wall_clock_time_millis 1831.0463428497314 wall_clock_time_millis 1634.688377380371 wall_clock_time_millis 1788.2678508758545 wall_clock_time_millis 1577.7149200439453 wall_clock_time_millis 1580.6076526641846 wall_clock_time_millis 1625.8187294006348 wall_clock_time_millis_testing 136.2628936767578 wall_clock_time_millis_testing 103.14011573791504 wall_clock_time_millis_testing 69.8232650756836 wall_clock_time_millis_testing 93.82152557373047 wall_clock_time_millis_testing 70.05906105041504 wall_clock_time_millis_testing 68.76158714294434 wall_clock_time_millis_testing 70.27101516723633 wall_clock_time_millis_testing 69.49782371520996 wall_clock_time_millis_testing 69.7627067565918 wall_clock_time_millis_testing 109.98392105102539 wall_clock_time_millis_training 1522.571086883545 wall_clock_time_millis_training 1825.0675201416016 wall_clock_time_millis_training 1846.5964794158936 wall_clock_time_millis_training 1543.9162254333496 wall_clock_time_millis_training 1760.9872817993164 wall_clock_time_millis_training 1565.9267902374268 wall_clock_time_millis_training 1717.9968357086182 wall_clock_time_millis_training 1508.2170963287354 wall_clock_time_millis_training 1510.8449459075928 wall_clock_time_millis_training 1515.8348083496094