10311571 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) 8171285 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 100.0 15084 kernel "laplace" 15084 kernel_params "\"null\"" 15084 n_components 500 15084 n_epoch 2 15084 random_state 23553 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21544749 description https://api.openml.org/data/download/21544749/description.xml -1 21544750 predictions https://api.openml.org/data/download/21544750/predictions.arff area_under_roc_curve 0.9528805843272345 [0.952881,0.952881] average_cost 0 f_measure 0.9620525097482043 [0.933469,0.973481] kappa 0.9069500288840489 kb_relative_information_score 0.899238544852783 mean_absolute_error 0.037922530103003046 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9620311631546398 [0.935517,0.972632] predictive_accuracy 0.962077469896997 prior_entropy 0.8629999933345911 recall 0.9620774698969969 [0.93143,0.974331] relative_absolute_error 0.0929267836079684 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19473707942506235 root_relative_squared_error 0.43111019021110414 total_cost 0 area_under_roc_curve 0.9515394917956488 [0.951539,0.951539] area_under_roc_curve 0.9552260347124001 [0.955226,0.955226] area_under_roc_curve 0.9538044262639841 [0.953804,0.953804] area_under_roc_curve 0.9539062789940084 [0.953906,0.953906] area_under_roc_curve 0.953195990218839 [0.953196,0.953196] area_under_roc_curve 0.950010071790401 [0.95001,0.95001] area_under_roc_curve 0.9511266370787185 [0.951127,0.951127] area_under_roc_curve 0.9530654567309279 [0.953065,0.953065] area_under_roc_curve 0.9545848936352889 [0.954585,0.954585] area_under_roc_curve 0.9523468097191127 [0.952347,0.952347] 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 0.961646832856283 [0.932584,0.973258] f_measure 0.9642785023566707 [0.937341,0.975056] f_measure 0.9622860458369596 [0.93401,0.973599] f_measure 0.9636751861572961 [0.936192,0.974671] f_measure 0.9647600761053042 [0.937789,0.975551] f_measure 0.9607454702301411 [0.930946,0.972655] f_measure 0.9627281308842378 [0.934224,0.974121] f_measure 0.9559168688541257 [0.924145,0.968615] f_measure 0.9617525711665134 [0.933266,0.973138] f_measure 0.9627750735370321 [0.934493,0.974079] kappa 0.9058429424421932 kappa 0.9123970179765656 kappa 0.9076088525279682 kappa 0.9108637696366056 kappa 0.9133454458194782 kappa 0.9036034382082725 kappa 0.9083491595154488 kappa 0.8927863336016193 kappa 0.9064048612385689 kappa 0.9085737784701663 kb_relative_information_score 0.898226528397154 kb_relative_information_score 0.9052077805346542 kb_relative_information_score 0.8998131013780878 kb_relative_information_score 0.9036664436327783 kb_relative_information_score 0.906749117436529 kb_relative_information_score 0.8958965086242737 kb_relative_information_score 0.9012944674363493 kb_relative_information_score 0.8820160431075085 kb_relative_information_score 0.8982099195437349 kb_relative_information_score 0.9012944674363488 mean_absolute_error 0.038294168842471714 mean_absolute_error 0.03568320278503046 mean_absolute_error 0.037713954163040325 mean_absolute_error 0.03626341746446185 mean_absolute_error 0.03510298810559907 mean_absolute_error 0.0391758560650029 mean_absolute_error 0.0371445153801509 mean_absolute_error 0.044399303540336624 mean_absolute_error 0.038305281485780614 mean_absolute_error 0.0371445153801509 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 0.9616074317725175 [0.937372,0.97129] precision 0.9642498265771242 [0.940695,0.973674] precision 0.9622860458369596 [0.93401,0.973599] precision 0.9636375774509384 [0.941478,0.972503] precision 0.9647472630816305 [0.95,0.970647] precision 0.9606999428431762 [0.937178,0.970101] precision 0.9626965156690862 [0.944906,0.969807] precision 0.9566845482694188 [0.902227,0.97845] precision 0.961829805341066 [0.928571,0.975122] precision 0.9627332482720911 [0.941237,0.971325] predictive_accuracy 0.9617058311575284 predictive_accuracy 0.9643167972149694 predictive_accuracy 0.9622860458369596 predictive_accuracy 0.9637365825355382 predictive_accuracy 0.964897011894401 predictive_accuracy 0.960824143934997 predictive_accuracy 0.9628554846198492 predictive_accuracy 0.9556006964596634 predictive_accuracy 0.9616947185142193 predictive_accuracy 0.9628554846198492 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 0.9617058311575283 [0.927846,0.975233] recall 0.9643167972149695 [0.93401,0.976442] recall 0.9622860458369596 [0.93401,0.973599] recall 0.9637365825355382 [0.930964,0.976848] recall 0.9648970118944009 [0.925888,0.980504] recall 0.960824143934997 [0.924797,0.975223] recall 0.9628554846198492 [0.92378,0.978473] recall 0.9556006964596634 [0.947154,0.958976] recall 0.9616947185142194 [0.938008,0.971162] recall 0.9628554846198492 [0.927846,0.976848] relative_absolute_error 0.09385298786212525 relative_absolute_error 0.08742727009885849 relative_absolute_error 0.09240280579554148 relative_absolute_error 0.0888488517264822 relative_absolute_error 0.08600568847123478 relative_absolute_error 0.09600550797646709 relative_absolute_error 0.09102744459990955 relative_absolute_error 0.10880624237332938 relative_absolute_error 0.09387205224365673 relative_absolute_error 0.09102744459990955 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 0.19568895942917094 root_mean_squared_error 0.18889998090267363 root_mean_squared_error 0.19420080886299193 root_mean_squared_error 0.19042956037459585 root_mean_squared_error 0.18735791444611855 root_mean_squared_error 0.1979289166973914 root_mean_squared_error 0.19272912436928388 root_mean_squared_error 0.2107114224249284 root_mean_squared_error 0.19571735100849033 root_mean_squared_error 0.19272912436928388 root_relative_squared_error 0.4332891574235782 root_relative_squared_error 0.4181297247116039 root_relative_squared_error 0.42986309665372935 root_relative_squared_error 0.4215154457713053 root_relative_squared_error 0.4147163637367366 root_relative_squared_error 0.4382106611429494 root_relative_squared_error 0.4266984249728816 root_relative_squared_error 0.46651087305433675 root_relative_squared_error 0.4333142989596708 root_relative_squared_error 0.4266984249728816 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 94320.11674702517 usercpu_time_millis 89217.26892900188 usercpu_time_millis 83493.76291502267 usercpu_time_millis 121914.32056500344 usercpu_time_millis 90677.75029301993 usercpu_time_millis 96355.1892489777 usercpu_time_millis 104339.71573098097 usercpu_time_millis 110697.61706597637 usercpu_time_millis 104309.73551698844 usercpu_time_millis 83933.001597994 usercpu_time_millis_testing 4851.0949710034765 usercpu_time_millis_testing 4827.534042997286 usercpu_time_millis_testing 4755.218345002504 usercpu_time_millis_testing 4829.358666000189 usercpu_time_millis_testing 4986.6517200134695 usercpu_time_millis_testing 7249.19727499946 usercpu_time_millis_testing 5096.310077991802 usercpu_time_millis_testing 5155.62497798237 usercpu_time_millis_testing 7588.034221989801 usercpu_time_millis_testing 4836.484731000382 usercpu_time_millis_training 89469.02177602169 usercpu_time_millis_training 84389.73488600459 usercpu_time_millis_training 78738.54457002017 usercpu_time_millis_training 117084.96189900325 usercpu_time_millis_training 85691.09857300646 usercpu_time_millis_training 89105.99197397823 usercpu_time_millis_training 99243.40565298917 usercpu_time_millis_training 105541.992087994 usercpu_time_millis_training 96721.70129499864 usercpu_time_millis_training 79096.51686699362 wall_clock_time_millis 94344.55704689026 wall_clock_time_millis 89223.5631942749 wall_clock_time_millis 83497.73573875427 wall_clock_time_millis 121925.14038085938 wall_clock_time_millis 90682.82580375671 wall_clock_time_millis 96398.45633506775 wall_clock_time_millis 104346.28057479858 wall_clock_time_millis 110707.24558830261 wall_clock_time_millis 104339.50352668762 wall_clock_time_millis 83941.67423248291 wall_clock_time_millis_testing 4851.227521896362 wall_clock_time_millis_testing 4827.666759490967 wall_clock_time_millis_testing 4755.36322593689 wall_clock_time_millis_testing 4829.488754272461 wall_clock_time_millis_testing 4986.860036849976 wall_clock_time_millis_testing 7253.408670425415 wall_clock_time_millis_testing 5096.716403961182 wall_clock_time_millis_testing 5155.78031539917 wall_clock_time_millis_testing 7588.979244232178 wall_clock_time_millis_testing 4836.660146713257 wall_clock_time_millis_training 89493.3295249939 wall_clock_time_millis_training 84395.89643478394 wall_clock_time_millis_training 78742.37251281738 wall_clock_time_millis_training 117095.65162658691 wall_clock_time_millis_training 85695.96576690674 wall_clock_time_millis_training 89145.04766464233 wall_clock_time_millis_training 99249.5641708374 wall_clock_time_millis_training 105551.46527290344 wall_clock_time_millis_training 96750.52428245544 wall_clock_time_millis_training 79105.01408576965