10311880 8323 Heinrich Peters 9977 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8171580 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 2 15084 gamma 0.001 15084 kernel "laplace" 15084 kernel_params "\"null\"" 15084 n_components 500 15084 n_epoch 2 15084 random_state 35479 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21545367 description https://api.openml.org/data/download/21545367/description.xml -1 21545368 predictions https://api.openml.org/data/download/21545368/predictions.arff area_under_roc_curve 0.9526871376570226 [0.952687,0.952687] average_cost 0 f_measure 0.9627374824298215 [0.934505,0.974025] kappa 0.9085316337623519 kb_relative_information_score 0.9011658871471058 mean_absolute_error 0.037197156535615845 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9626976537565539 [0.939979,0.971781] predictive_accuracy 0.9628028434643842 prior_entropy 0.8629999933345911 recall 0.9628028434643842 [0.929094,0.97628] relative_absolute_error 0.09114930113650764 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19286564374096243 root_relative_squared_error 0.42696719394084004 total_cost 0 area_under_roc_curve 0.9520463840448392 [0.952046,0.952046] area_under_roc_curve 0.9555305620043959 [0.955531,0.955531] area_under_roc_curve 0.9522813774447747 [0.952281,0.952281] area_under_roc_curve 0.9604034110355577 [0.960403,0.960403] area_under_roc_curve 0.9525861109163859 [0.952586,0.952586] area_under_roc_curve 0.9525490710837248 [0.952549,0.952549] area_under_roc_curve 0.9517375489555058 [0.951738,0.951738] area_under_roc_curve 0.9523501119454737 [0.95235,0.95235] area_under_roc_curve 0.950616030327647 [0.950616,0.950616] area_under_roc_curve 0.9467549021550329 [0.946755,0.946755] 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 0.9627741843334428 [0.934426,0.9741] f_measure 0.9642894973396782 [0.937405,0.975046] f_measure 0.9605693376077407 [0.931104,0.972358] f_measure 0.9661237752796257 [0.940998,0.976176] f_measure 0.9614098430661416 [0.932453,0.972995] f_measure 0.9638928767941054 [0.93628,0.974929] f_measure 0.9619204388897644 [0.933061,0.973455] f_measure 0.9594587514168397 [0.929364,0.971487] f_measure 0.9649330410893913 [0.93763,0.975845] f_measure 0.961998240998865 [0.932362,0.973843] kappa 0.9085282117623643 kappa 0.9124504543384913 kappa 0.9034622392529893 kappa 0.9171758560347284 kappa 0.9054479554466871 kappa 0.9112132482805909 kappa 0.9065168924641713 kappa 0.9008530370898916 kappa 0.9134928697305377 kappa 0.9062259536283384 kb_relative_information_score 0.9013105729911799 kb_relative_information_score 0.9052077805346544 kb_relative_information_score 0.8951890906724609 kb_relative_information_score 0.9098317912402795 kb_relative_information_score 0.8975010960252753 kb_relative_information_score 0.9043790153289628 kb_relative_information_score 0.8989810565168885 kb_relative_information_score 0.8920408237585064 kb_relative_information_score 0.9074635632215781 kb_relative_information_score 0.8997521934900417 mean_absolute_error 0.03713373948360894 mean_absolute_error 0.03568320278503046 mean_absolute_error 0.03945459820133449 mean_absolute_error 0.033942558746736295 mean_absolute_error 0.03858427618218741 mean_absolute_error 0.035983749274521186 mean_absolute_error 0.03801508995937319 mean_absolute_error 0.04062681369704005 mean_absolute_error 0.034822983168891465 mean_absolute_error 0.03772489843296576 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9627325453074468 [0.942149,0.970956] precision 0.9642670994467336 [0.939796,0.974058] precision 0.9605963765195848 [0.929221,0.973149] precision 0.9662229945905711 [0.93487,0.978767] precision 0.9614041570721571 [0.932927,0.972797] precision 0.9638654142994397 [0.946985,0.970612] precision 0.9618797145284105 [0.938335,0.97129] precision 0.9595820853752159 [0.922846,0.974265] precision 0.9650786480582338 [0.959574,0.967279] precision 0.9621457729527516 [0.955224,0.964912] predictive_accuracy 0.962866260516391 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9605454017986655 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9614157238178126 predictive_accuracy 0.9640162507254789 predictive_accuracy 0.9619849100406267 predictive_accuracy 0.9593731863029599 predictive_accuracy 0.9651770168311086 predictive_accuracy 0.9622751015670343 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 recall 0.962866260516391 [0.926829,0.977263] recall 0.9643167972149695 [0.935025,0.976036] recall 0.9605454017986655 [0.932995,0.971568] recall 0.9660574412532638 [0.947208,0.973599] recall 0.9614157238178126 [0.93198,0.973193] recall 0.9640162507254788 [0.925813,0.979285] recall 0.9619849100406268 [0.927846,0.97563] recall 0.95937318630296 [0.935976,0.968725] recall 0.9651770168311086 [0.916667,0.984565] recall 0.9622751015670342 [0.910569,0.982941] relative_absolute_error 0.09100895792690934 relative_absolute_error 0.08742727009885849 relative_absolute_error 0.09666755067841264 relative_absolute_error 0.08316252521598737 relative_absolute_error 0.09453517823697707 relative_absolute_error 0.08818283695616237 relative_absolute_error 0.09316090033271993 relative_absolute_error 0.09956126753115108 relative_absolute_error 0.0853382293124152 relative_absolute_error 0.09244974842178313 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.19270116627464645 root_mean_squared_error 0.18889998090267363 root_mean_squared_error 0.19863181568251972 root_mean_squared_error 0.18423506383622065 root_mean_squared_error 0.19642880690516706 root_mean_squared_error 0.18969383035439288 root_mean_squared_error 0.19497458798359643 root_mean_squared_error 0.20156094288586776 root_mean_squared_error 0.18660917225284362 root_mean_squared_error 0.19422898453363174 root_relative_squared_error 0.4266736672995765 root_relative_squared_error 0.4181297247116039 root_relative_squared_error 0.4396711212643776 root_relative_squared_error 0.40780394024366684 root_relative_squared_error 0.4347947658025614 root_relative_squared_error 0.4199783447581135 root_relative_squared_error 0.4316698364847463 root_relative_squared_error 0.44625189444982427 root_relative_squared_error 0.4131489734432263 root_relative_squared_error 0.43001908536555034 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 114419.45501498412 usercpu_time_millis 106315.34391100286 usercpu_time_millis 101789.84904297977 usercpu_time_millis 117094.13349902024 usercpu_time_millis 89833.27264597756 usercpu_time_millis 94676.34723201627 usercpu_time_millis 87154.23772699432 usercpu_time_millis 91175.25309699704 usercpu_time_millis 102172.67664900282 usercpu_time_millis 132870.13891298557 usercpu_time_millis_testing 6080.863545998 usercpu_time_millis_testing 5227.55909600528 usercpu_time_millis_testing 6220.060544990702 usercpu_time_millis_testing 5258.77850499819 usercpu_time_millis_testing 5103.345630981494 usercpu_time_millis_testing 5203.660598024726 usercpu_time_millis_testing 5076.847596006701 usercpu_time_millis_testing 4962.823860987555 usercpu_time_millis_testing 4966.460797004402 usercpu_time_millis_testing 5015.816419007024 usercpu_time_millis_training 108338.59146898612 usercpu_time_millis_training 101087.78481499758 usercpu_time_millis_training 95569.78849798907 usercpu_time_millis_training 111835.35499402205 usercpu_time_millis_training 84729.92701499606 usercpu_time_millis_training 89472.68663399154 usercpu_time_millis_training 82077.39013098762 usercpu_time_millis_training 86212.42923600948 usercpu_time_millis_training 97206.21585199842 usercpu_time_millis_training 127854.32249397854 wall_clock_time_millis 114438.94147872925 wall_clock_time_millis 106328.53865623474 wall_clock_time_millis 101799.35240745544 wall_clock_time_millis 117119.67444419861 wall_clock_time_millis 89836.13324165344 wall_clock_time_millis 94683.33506584167 wall_clock_time_millis 87156.94260597229 wall_clock_time_millis 91180.49693107605 wall_clock_time_millis 102178.17306518555 wall_clock_time_millis 132875.7288455963 wall_clock_time_millis_testing 6081.6168785095215 wall_clock_time_millis_testing 5228.537797927856 wall_clock_time_millis_testing 6220.298290252686 wall_clock_time_millis_testing 5258.954048156738 wall_clock_time_millis_testing 5103.478908538818 wall_clock_time_millis_testing 5205.776214599609 wall_clock_time_millis_testing 5076.99728012085 wall_clock_time_millis_testing 4963.5865688323975 wall_clock_time_millis_testing 4966.585159301758 wall_clock_time_millis_testing 5015.954494476318 wall_clock_time_millis_training 108357.32460021973 wall_clock_time_millis_training 101100.00085830688 wall_clock_time_millis_training 95579.05411720276 wall_clock_time_millis_training 111860.72039604187 wall_clock_time_millis_training 84732.65433311462 wall_clock_time_millis_training 89477.55885124207 wall_clock_time_millis_training 82079.94532585144 wall_clock_time_millis_training 86216.91036224365 wall_clock_time_millis_training 97211.58790588379 wall_clock_time_millis_training 127859.77435112