10309870 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) 8171071 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 3 15084 gamma 10.0 15084 kernel "rbf" 15084 kernel_params "null" 15084 n_components 500 15084 n_epoch 2 15084 random_state 41130 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21541346 description https://api.openml.org/data/download/21541346/description.xml -1 21541347 predictions https://api.openml.org/data/download/21541347/predictions.arff area_under_roc_curve 0.949832815750904 [0.949833,0.949833] average_cost 0 f_measure 0.9606881596169836 [0.930844,0.97262] kappa 0.9034663882124044 kb_relative_information_score 0.8957693287230063 mean_absolute_error 0.03922820252430002 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9606418713960844 [0.937461,0.96991] predictive_accuracy 0.9607717974757 prior_entropy 0.8629999933345911 recall 0.9607717974757 [0.924319,0.975346] relative_absolute_error 0.09612625205659775 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19806110805582205 root_relative_squared_error 0.43846894602435144 total_cost 0 area_under_roc_curve 0.9518458552429616 [0.951846,0.951846] area_under_roc_curve 0.9521797308943659 [0.95218,0.95218] area_under_roc_curve 0.9465957683695728 [0.946596,0.946596] area_under_roc_curve 0.9459873323244279 [0.945987,0.945987] area_under_roc_curve 0.9396930810244652 [0.939693,0.939693] area_under_roc_curve 0.9500084206772205 [0.950008,0.950008] area_under_roc_curve 0.9516380693863803 [0.951638,0.951638] area_under_roc_curve 0.9570202855765357 [0.95702,0.95702] area_under_roc_curve 0.9561059816528303 [0.956106,0.956106] area_under_roc_curve 0.9472638577929241 [0.947264,0.947264] 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 0.9608295282282293 [0.931368,0.9726] f_measure 0.9600135721948723 [0.930233,0.971928] f_measure 0.9559304361498278 [0.922999,0.969106] f_measure 0.9583792413594568 [0.926629,0.971082] f_measure 0.9553397430005571 [0.920766,0.969172] f_measure 0.9624070020873161 [0.933539,0.973945] f_measure 0.9597061481919165 [0.92962,0.971731] f_measure 0.966836158522885 [0.941598,0.976923] f_measure 0.9659687634324657 [0.940092,0.976311] f_measure 0.9614642946863051 [0.931606,0.973398] kappa 0.9039675341358998 kappa 0.902161599158857 kappa 0.8921048556356939 kappa 0.8977156217012929 kappa 0.889955779162477 kappa 0.9074910879839176 kappa 0.9013514810438009 kappa 0.9185236006212089 kappa 0.9164051099657767 kappa 0.9050183627156273 kb_relative_information_score 0.895913494951635 kb_relative_information_score 0.893647753770587 kb_relative_information_score 0.8828583954574559 kb_relative_information_score 0.8897944115158986 kb_relative_information_score 0.8820877270065202 kb_relative_information_score 0.9005233304631948 kb_relative_information_score 0.8928119607316601 kb_relative_information_score 0.9120903850604988 kb_relative_information_score 0.9097769741410374 kb_relative_information_score 0.8982099195437349 mean_absolute_error 0.0391644908616188 mean_absolute_error 0.04003481288076589 mean_absolute_error 0.04409631563678561 mean_absolute_error 0.041485349579344355 mean_absolute_error 0.044386422976501305 mean_absolute_error 0.03743470690655833 mean_absolute_error 0.040336622170632615 mean_absolute_error 0.0330818340104469 mean_absolute_error 0.033952408589669185 mean_absolute_error 0.038305281485780614 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 0.9608237420089161 [0.931841,0.972403] precision 0.9600743306867475 [0.926485,0.973513] precision 0.9559602689479758 [0.921132,0.969894] precision 0.9583303387681757 [0.936722,0.966975] precision 0.9553661464774486 [0.939746,0.961615] precision 0.9623932824920448 [0.946708,0.968662] precision 0.9597584020296556 [0.926337,0.973116] precision 0.9668049262755882 [0.94938,0.973769] precision 0.9659344757238691 [0.947368,0.973355] precision 0.9615217790887863 [0.950317,0.966] predictive_accuracy 0.9608355091383812 predictive_accuracy 0.9599651871192342 predictive_accuracy 0.9559036843632144 predictive_accuracy 0.9585146504206556 predictive_accuracy 0.9556135770234987 predictive_accuracy 0.9625652930934417 predictive_accuracy 0.9596633778293673 predictive_accuracy 0.9669181659895532 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.9616947185142193 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 0.9608355091383812 [0.930894,0.972797] recall 0.9599651871192341 [0.93401,0.970349] recall 0.9559036843632144 [0.924873,0.968318] recall 0.9585146504206556 [0.916751,0.975223] recall 0.9556135770234987 [0.902538,0.976848] recall 0.9625652930934416 [0.920732,0.979285] recall 0.9596633778293674 [0.932927,0.970349] recall 0.9669181659895532 [0.933943,0.980097] recall 0.9660475914103308 [0.932927,0.979285] recall 0.9616947185142194 [0.913618,0.98091] relative_absolute_error 0.0959860103135372 relative_absolute_error 0.09808913230603636 relative_absolute_error 0.10804020369940234 relative_absolute_error 0.10164308637509563 relative_absolute_error 0.1087509945132142 relative_absolute_error 0.09173859651084633 relative_absolute_error 0.09885011562021427 relative_absolute_error 0.08107131784679444 relative_absolute_error 0.08320477357960483 relative_absolute_error 0.09387205224365673 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 0.19790020429908303 root_mean_squared_error 0.20008701327364023 root_mean_squared_error 0.20999122752340302 root_mean_squared_error 0.20367952665730632 root_mean_squared_error 0.2106808557427592 root_mean_squared_error 0.19348050782070614 root_mean_squared_error 0.20083979229881865 root_mean_squared_error 0.18188412248034982 root_mean_squared_error 0.184261793624368 root_mean_squared_error 0.19571735100849033 root_relative_squared_error 0.4381852355126858 root_relative_squared_error 0.4428921981817421 root_relative_squared_error 0.46481515634165715 root_relative_squared_error 0.45084421927225243 root_relative_squared_error 0.46634164700690145 root_relative_squared_error 0.42836197289965083 root_relative_squared_error 0.44465528147983785 root_relative_squared_error 0.4026878077920068 root_relative_squared_error 0.40795192412925574 root_relative_squared_error 0.4333142989596708 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 83793.09383900545 usercpu_time_millis 82042.89923001488 usercpu_time_millis 87030.5786379904 usercpu_time_millis 90130.78089698683 usercpu_time_millis 84134.39130000188 usercpu_time_millis 87366.10815800668 usercpu_time_millis 85928.53404300695 usercpu_time_millis 91534.11322900502 usercpu_time_millis 96326.72937099414 usercpu_time_millis 82108.43237800873 usercpu_time_millis_testing 4125.461938005174 usercpu_time_millis_testing 4081.4096390095074 usercpu_time_millis_testing 4181.321276992094 usercpu_time_millis_testing 4533.199973986484 usercpu_time_millis_testing 4003.42995300889 usercpu_time_millis_testing 4005.1369900029385 usercpu_time_millis_testing 7568.227472002036 usercpu_time_millis_testing 4157.720775998314 usercpu_time_millis_testing 4231.627369998023 usercpu_time_millis_testing 4612.388038003701 usercpu_time_millis_training 79667.63190100028 usercpu_time_millis_training 77961.48959100537 usercpu_time_millis_training 82849.25736099831 usercpu_time_millis_training 85597.58092300035 usercpu_time_millis_training 80130.96134699299 usercpu_time_millis_training 83360.97116800374 usercpu_time_millis_training 78360.30657100491 usercpu_time_millis_training 87376.3924530067 usercpu_time_millis_training 92095.10200099612 usercpu_time_millis_training 77496.04434000503 wall_clock_time_millis 83799.96824264526 wall_clock_time_millis 82047.16777801514 wall_clock_time_millis 87052.93989181519 wall_clock_time_millis 90133.95881652832 wall_clock_time_millis 84153.98168563843 wall_clock_time_millis 87379.07648086548 wall_clock_time_millis 85949.59282875061 wall_clock_time_millis 91557.68990516663 wall_clock_time_millis 96333.90378952026 wall_clock_time_millis 82279.96730804443 wall_clock_time_millis_testing 4125.580787658691 wall_clock_time_millis_testing 4081.6543102264404 wall_clock_time_millis_testing 4182.2545528411865 wall_clock_time_millis_testing 4533.355951309204 wall_clock_time_millis_testing 4003.570556640625 wall_clock_time_millis_testing 4005.2762031555176 wall_clock_time_millis_testing 7570.2033042907715 wall_clock_time_millis_testing 4158.842325210571 wall_clock_time_millis_testing 4231.773138046265 wall_clock_time_millis_testing 4616.292476654053 wall_clock_time_millis_training 79674.38745498657 wall_clock_time_millis_training 77965.5134677887 wall_clock_time_millis_training 82870.685338974 wall_clock_time_millis_training 85600.60286521912 wall_clock_time_millis_training 80150.4111289978 wall_clock_time_millis_training 83373.80027770996 wall_clock_time_millis_training 78379.38952445984 wall_clock_time_millis_training 87398.84757995605 wall_clock_time_millis_training 92102.130651474 wall_clock_time_millis_training 77663.67483139038