10309746 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) 8171050 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 100000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 500 15084 n_epoch 2 15084 random_state 9993 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21541098 description https://api.openml.org/data/download/21541098/description.xml -1 21541099 predictions https://api.openml.org/data/download/21541099/predictions.arff area_under_roc_curve 0.9531741180035788 [0.953174,0.953174] average_cost 0 f_measure 0.9641710015176771 [0.93683,0.975103] kappa 0.9119360174452076 kb_relative_information_score 0.9050976654275251 mean_absolute_error 0.035717394458145944 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9641393643215751 [0.946593,0.971155] predictive_accuracy 0.964282605541854 prior_entropy 0.8629999933345911 recall 0.9642826055418541 [0.927265,0.979083] relative_absolute_error 0.08752323689472769 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.18899046128878025 root_relative_squared_error 0.41838829027752467 total_cost 0 area_under_roc_curve 0.9543827921531348 [0.954383,0.954383] area_under_roc_curve 0.9536017517020128 [0.953602,0.953602] area_under_roc_curve 0.949642072187607 [0.949642,0.949642] area_under_roc_curve 0.9560383823972091 [0.956038,0.956038] area_under_roc_curve 0.9510636806360229 [0.951064,0.951064] area_under_roc_curve 0.9494994650393295 [0.949499,0.949499] area_under_roc_curve 0.9536672874852224 [0.953667,0.953667] area_under_roc_curve 0.957833458817935 [0.957833,0.957833] area_under_roc_curve 0.9545807658523376 [0.954581,0.954581] area_under_roc_curve 0.9514292035690463 [0.951429,0.951429] 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 0.9648044405178169 [0.937981,0.975521] f_measure 0.9636638808637856 [0.936127,0.974681] f_measure 0.9601880040283964 [0.930066,0.972239] f_measure 0.9654187772217458 [0.939255,0.975887] f_measure 0.9621808416044894 [0.933402,0.973695] f_measure 0.9629420800447034 [0.934299,0.97439] f_measure 0.9642123383071249 [0.936955,0.975106] f_measure 0.9671425047111553 [0.942199,0.977112] f_measure 0.9659149193958493 [0.939784,0.976359] f_measure 0.9652424207570578 [0.938246,0.976032] kappa 0.9135040535739949 kappa 0.9108092650310841 kappa 0.9023066915217198 kappa 0.9151423086940483 kappa 0.9070996199068155 kappa 0.9087006825512791 kappa 0.9120642975546099 kappa 0.919312507537295 kappa 0.9161481498735718 kappa 0.9142932622834258 kb_relative_information_score 0.9067076510307251 kb_relative_information_score 0.9036664436327788 kb_relative_information_score 0.8944184222215235 kb_relative_information_score 0.9082904543384049 kb_relative_information_score 0.8998131013780892 kb_relative_information_score 0.9020656044095022 kb_relative_information_score 0.9051501523021169 kb_relative_information_score 0.9128615220336518 kb_relative_information_score 0.9097769741410382 kb_relative_information_score 0.908234700194731 mean_absolute_error 0.03510298810559907 mean_absolute_error 0.03626341746446185 mean_absolute_error 0.03974470554105019 mean_absolute_error 0.034522773426167684 mean_absolute_error 0.037713954163040325 mean_absolute_error 0.03685432385374347 mean_absolute_error 0.03569355774811375 mean_absolute_error 0.032791642484039464 mean_absolute_error 0.033952408589669185 mean_absolute_error 0.03453279164248404 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 0.964769021277206 [0.946225,0.972177] precision 0.9636244424279109 [0.942387,0.972121] precision 0.960144373629045 [0.935318,0.970077] precision 0.965384179361885 [0.944559,0.973716] precision 0.9621394539023774 [0.942089,0.970161] precision 0.9629828322053091 [0.951528,0.967561] precision 0.9641753582698377 [0.945191,0.971763] precision 0.9671101265567602 [0.948507,0.974545] precision 0.9659067166282784 [0.952033,0.971452] precision 0.9653554194176154 [0.958643,0.968038] predictive_accuracy 0.964897011894401 predictive_accuracy 0.9637365825355382 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9654772265738323 predictive_accuracy 0.9622860458369596 predictive_accuracy 0.9631456761462566 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.9672083575159606 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.965467208357516 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 0.9648970118944009 [0.929878,0.978888] recall 0.9637365825355382 [0.929949,0.977254] recall 0.9602552944589499 [0.924873,0.974411] recall 0.9654772265738323 [0.93401,0.978067] recall 0.9622860458369596 [0.924873,0.977254] recall 0.9631456761462566 [0.917683,0.981316] recall 0.9643064422518862 [0.928862,0.978473] recall 0.9672083575159606 [0.935976,0.979691] recall 0.9660475914103308 [0.927846,0.981316] recall 0.965467208357516 [0.918699,0.984159] relative_absolute_error 0.08603190554028149 relative_absolute_error 0.0888488517264822 relative_absolute_error 0.09737834149222449 relative_absolute_error 0.08458410684361105 relative_absolute_error 0.09240280579554148 relative_absolute_error 0.09031629268897276 relative_absolute_error 0.08747168504522557 relative_absolute_error 0.08036016593585765 relative_absolute_error 0.08320477357960483 relative_absolute_error 0.08462707740147841 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 0.18735791444611855 root_mean_squared_error 0.19042956037459585 root_mean_squared_error 0.19936074222637262 root_mean_squared_error 0.185803050099205 root_mean_squared_error 0.19420080886299193 root_mean_squared_error 0.19197480004871337 root_mean_squared_error 0.1889273875014254 root_mean_squared_error 0.18108462796173358 root_mean_squared_error 0.184261793624368 root_mean_squared_error 0.18583000737901303 root_relative_squared_error 0.4148427848142372 root_relative_squared_error 0.4215154457713053 root_relative_squared_error 0.4412845986912135 root_relative_squared_error 0.41127467465750994 root_relative_squared_error 0.42986309665372935 root_relative_squared_error 0.425028366020663 root_relative_squared_error 0.41828145561765173 root_relative_squared_error 0.4009177429251404 root_relative_squared_error 0.40795192412925574 root_relative_squared_error 0.41142391800313277 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 120023.23398498993 usercpu_time_millis 111150.7536329882 usercpu_time_millis 99446.53793302132 usercpu_time_millis 79315.6534019945 usercpu_time_millis 87507.21509299183 usercpu_time_millis 93456.72323998588 usercpu_time_millis 87669.09073600254 usercpu_time_millis 94642.95727400167 usercpu_time_millis 91353.96211600164 usercpu_time_millis 90789.29149000032 usercpu_time_millis_testing 5486.002823992749 usercpu_time_millis_testing 5338.735886994982 usercpu_time_millis_testing 4882.414336010697 usercpu_time_millis_testing 4900.935817000573 usercpu_time_millis_testing 5045.079082992743 usercpu_time_millis_testing 5457.8777459973935 usercpu_time_millis_testing 5112.503366995952 usercpu_time_millis_testing 4832.390807001502 usercpu_time_millis_testing 4884.069851003005 usercpu_time_millis_testing 4900.14512000198 usercpu_time_millis_training 114537.23116099718 usercpu_time_millis_training 105812.01774599322 usercpu_time_millis_training 94564.12359701062 usercpu_time_millis_training 74414.71758499392 usercpu_time_millis_training 82462.13600999909 usercpu_time_millis_training 87998.84549398848 usercpu_time_millis_training 82556.5873690066 usercpu_time_millis_training 89810.56646700017 usercpu_time_millis_training 86469.89226499863 usercpu_time_millis_training 85889.14636999834 wall_clock_time_millis 120085.35408973694 wall_clock_time_millis 111154.73771095276 wall_clock_time_millis 99454.57911491394 wall_clock_time_millis 79318.9868927002 wall_clock_time_millis 87512.66813278198 wall_clock_time_millis 93463.454246521 wall_clock_time_millis 87679.45981025696 wall_clock_time_millis 94655.50374984741 wall_clock_time_millis 91377.98762321472 wall_clock_time_millis 90794.54040527344 wall_clock_time_millis_testing 5486.2213134765625 wall_clock_time_millis_testing 5339.142322540283 wall_clock_time_millis_testing 4883.368015289307 wall_clock_time_millis_testing 4901.0889530181885 wall_clock_time_millis_testing 5045.249223709106 wall_clock_time_millis_testing 5458.341836929321 wall_clock_time_millis_testing 5115.515947341919 wall_clock_time_millis_testing 4832.552909851074 wall_clock_time_millis_testing 4885.087728500366 wall_clock_time_millis_testing 4900.321006774902 wall_clock_time_millis_training 114599.13277626038 wall_clock_time_millis_training 105815.59538841248 wall_clock_time_millis_training 94571.21109962463 wall_clock_time_millis_training 74417.897939682 wall_clock_time_millis_training 82467.41890907288 wall_clock_time_millis_training 88005.11240959167 wall_clock_time_millis_training 82563.94386291504 wall_clock_time_millis_training 89822.95083999634 wall_clock_time_millis_training 86492.89989471436 wall_clock_time_millis_training 85894.21939849854