10326874 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) 8182544 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 4297.397059178814 13389 cache_size 200 13389 class_weight null 13389 coef0 0.013499300518863278 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.1820082271280914 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 37385 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 21575434 description https://api.openml.org/data/download/21575434/description.xml -1 21575435 predictions https://api.openml.org/data/download/21575435/predictions.arff area_under_roc_curve 0.851443880682002 [0.851444,0.851444] average_cost 0 f_measure 0.8810164003107497 [0.917024,0.794335] kappa 0.7114100937218778 kb_relative_information_score 0.6926488104501327 mean_absolute_error 0.11824574389341229 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.8805750173963416 [0.909348,0.811308] predictive_accuracy 0.8817542561065878 prior_entropy 0.8731822780289229 recall 0.8817542561065878 [0.92483,0.778058] relative_absolute_error 0.28511105058558345 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.343868788774748 root_relative_squared_error 0.755159238095496 total_cost 0 area_under_roc_curve 0.8608861009582139 [0.860886,0.860886] area_under_roc_curve 0.8574862524284632 [0.857486,0.857486] area_under_roc_curve 0.8257680529487306 [0.825768,0.825768] area_under_roc_curve 0.817659455365669 [0.817659,0.817659] area_under_roc_curve 0.8441911326131619 [0.844191,0.844191] area_under_roc_curve 0.8671051759559945 [0.867105,0.867105] area_under_roc_curve 0.8860925177281463 [0.886093,0.886093] area_under_roc_curve 0.8455000331367221 [0.8455,0.8455] area_under_roc_curve 0.8513593819640469 [0.851359,0.851359] area_under_roc_curve 0.8587134155400387 [0.858713,0.858713] 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 0.8884599688666232 [0.922078,0.807692] f_measure 0.8817005545286506 [0.91623,0.798742] f_measure 0.8679184174755389 [0.910714,0.765101] f_measure 0.8529936370388379 [0.897536,0.745981] f_measure 0.8735947886989555 [0.911458,0.782051] f_measure 0.8906387246256526 [0.922876,0.812698] f_measure 0.9022929644086355 [0.930171,0.834891] f_measure 0.875331907658519 [0.912874,0.784566] f_measure 0.8823152380592599 [0.918288,0.796117] f_measure 0.8943817663817664 [0.928205,0.813333] kappa 0.7298107176746742 kappa 0.7149725048569263 kappa 0.6763690435496001 kappa 0.643589209023058 kappa 0.6935300794551646 kappa 0.735575327003519 kappa 0.7650863484142099 kappa 0.6974714027694159 kappa 0.7145015105740181 kappa 0.7418958365340297 kb_relative_information_score 0.7119004012595882 kb_relative_information_score 0.6926937613435604 kb_relative_information_score 0.6638838014695199 kb_relative_information_score 0.6206688616584576 kb_relative_information_score 0.6722610631272486 kb_relative_information_score 0.7156382753604066 kb_relative_information_score 0.7445564168491786 kb_relative_information_score 0.6770807533753772 kb_relative_information_score 0.6971742140612084 kb_relative_information_score 0.7308215236099633 mean_absolute_error 0.11090573012939002 mean_absolute_error 0.11829944547134935 mean_absolute_error 0.12939001848428835 mean_absolute_error 0.14602587800369685 mean_absolute_error 0.1259259259259259 mean_absolute_error 0.10925925925925926 mean_absolute_error 0.09814814814814815 mean_absolute_error 0.12407407407407407 mean_absolute_error 0.11666666666666667 mean_absolute_error 0.1037037037037037 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 0.8880803803122712 [0.914948,0.823529] precision 0.8817005545286506 [0.91623,0.798742] precision 0.8680992304399093 [0.88806,0.820144] precision 0.8523398968271098 [0.88946,0.763158] precision 0.8732257188215736 [0.906736,0.792208] precision 0.8905437326035686 [0.921671,0.815287] precision 0.9029097558608876 [0.93634,0.822086] precision 0.8749111933030461 [0.906977,0.797386] precision 0.8818717948717949 [0.907692,0.82] precision 0.8948956315137726 [0.907268,0.865248] predictive_accuracy 0.8890942698706099 predictive_accuracy 0.8817005545286507 predictive_accuracy 0.8706099815157117 predictive_accuracy 0.8539741219963031 predictive_accuracy 0.874074074074074 predictive_accuracy 0.8907407407407407 predictive_accuracy 0.9018518518518519 predictive_accuracy 0.875925925925926 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.8962962962962964 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 [0.929319,0.792453] recall 0.8817005545286506 [0.91623,0.798742] recall 0.8706099815157117 [0.934555,0.716981] recall 0.8539741219963032 [0.905759,0.72956] recall 0.8740740740740741 [0.91623,0.772152] recall 0.8907407407407407 [0.924084,0.810127] recall 0.9018518518518519 [0.924084,0.848101] recall 0.8759259259259259 [0.918848,0.772152] recall 0.8833333333333333 [0.929134,0.773585] recall 0.8962962962962963 [0.950131,0.767296] relative_absolute_error 0.26730286660815616 relative_absolute_error 0.28512305771536656 relative_absolute_error 0.3118533443761822 relative_absolute_error 0.35194877436740557 relative_absolute_error 0.30389968552523244 relative_absolute_error 0.2636776683233635 relative_absolute_error 0.23686299018878415 relative_absolute_error 0.2994305725028026 relative_absolute_error 0.2810355583281348 relative_absolute_error 0.2498093851805643 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 0.3439468643138782 root_mean_squared_error 0.3597082407789518 root_mean_squared_error 0.38213332490597685 root_mean_squared_error 0.35486043161491804 root_mean_squared_error 0.3305438840143004 root_mean_squared_error 0.31328604844159297 root_mean_squared_error 0.35224149964771906 root_mean_squared_error 0.3415650255319866 root_mean_squared_error 0.3220305943597653 root_relative_squared_error 0.73104463618508 root_relative_squared_error 0.7550196536744199 root_relative_squared_error 0.7896184543462358 root_relative_squared_error 0.838845183844066 root_relative_squared_error 0.779991956222551 root_relative_squared_error 0.7265435865486772 root_relative_squared_error 0.6886104395160136 root_relative_squared_error 0.7742354793479299 root_relative_squared_error 0.7493855110598403 root_relative_squared_error 0.7065274354578128 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 18335.169846999634 usercpu_time_millis 20151.45814800053 usercpu_time_millis 18491.998281002452 usercpu_time_millis 18885.06518599752 usercpu_time_millis 18215.97625799768 usercpu_time_millis 17880.104017007397 usercpu_time_millis 17948.809663997963 usercpu_time_millis 19684.834303006937 usercpu_time_millis 18823.687276999408 usercpu_time_millis 18026.158568005485 usercpu_time_millis_testing 38.98795800341759 usercpu_time_millis_testing 38.234501000260934 usercpu_time_millis_testing 38.27071500563761 usercpu_time_millis_testing 37.18984599981923 usercpu_time_millis_testing 37.92894499929389 usercpu_time_millis_testing 38.01091300556436 usercpu_time_millis_testing 39.777636993676424 usercpu_time_millis_testing 39.239728001120966 usercpu_time_millis_testing 38.46719799912535 usercpu_time_millis_testing 38.71284500201 usercpu_time_millis_training 18296.181888996216 usercpu_time_millis_training 20113.223647000268 usercpu_time_millis_training 18453.727565996815 usercpu_time_millis_training 18847.8753399977 usercpu_time_millis_training 18178.047312998387 usercpu_time_millis_training 17842.093104001833 usercpu_time_millis_training 17909.032027004287 usercpu_time_millis_training 19645.594575005816 usercpu_time_millis_training 18785.220079000283 usercpu_time_millis_training 17987.445723003475 wall_clock_time_millis 18419.605016708374 wall_clock_time_millis 20842.791318893433 wall_clock_time_millis 19759.28831100464 wall_clock_time_millis 20380.390405654907 wall_clock_time_millis 19492.789268493652 wall_clock_time_millis 18814.212799072266 wall_clock_time_millis 19268.826723098755 wall_clock_time_millis 21399.638652801514 wall_clock_time_millis 20218.040227890015 wall_clock_time_millis 19929.635524749756 wall_clock_time_millis_testing 39.11948204040527 wall_clock_time_millis_testing 38.24782371520996 wall_clock_time_millis_testing 38.285017013549805 wall_clock_time_millis_testing 37.20498085021973 wall_clock_time_millis_testing 37.94217109680176 wall_clock_time_millis_testing 38.023948669433594 wall_clock_time_millis_testing 39.78109359741211 wall_clock_time_millis_testing 39.25347328186035 wall_clock_time_millis_testing 38.48147392272949 wall_clock_time_millis_testing 38.7263298034668 wall_clock_time_millis_training 18380.48553466797 wall_clock_time_millis_training 20804.543495178223 wall_clock_time_millis_training 19721.00329399109 wall_clock_time_millis_training 20343.185424804688 wall_clock_time_millis_training 19454.84709739685 wall_clock_time_millis_training 18776.188850402832 wall_clock_time_millis_training 19229.045629501343 wall_clock_time_millis_training 21360.385179519653 wall_clock_time_millis_training 20179.558753967285 wall_clock_time_millis_training 19890.90919494629