10314682 8323 Heinrich Peters 37 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8173554 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 0.0001 15084 kernel "rbf" 15084 kernel_params null 15084 n_components 4000 15084 n_epoch 2 15084 random_state 42670 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21551010 description https://api.openml.org/data/download/21551010/description.xml -1 21551011 predictions https://api.openml.org/data/download/21551011/predictions.arff area_under_roc_curve 0.7257164179104477 [0.725716,0.725716] average_cost 0 f_measure 0.7667509342394631 [0.836946,0.635789] kappa 0.47660017018058065 kb_relative_information_score 0.48405191631877237 mean_absolute_error 0.22526041666666666 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7698170698890009 [0.791444,0.729469] predictive_accuracy 0.7747395833333333 prior_entropy 0.9331348051619819 recall 0.7747395833333334 [0.888,0.563433] relative_absolute_error 0.4956319204667242 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47461607291227154 root_relative_squared_error 0.9957518347128561 total_cost 0 area_under_roc_curve 0.7733333333333333 [0.773333,0.773333] area_under_roc_curve 0.6522222222222223 [0.652222,0.652222] area_under_roc_curve 0.6977777777777778 [0.697778,0.697778] area_under_roc_curve 0.6066666666666667 [0.606667,0.606667] area_under_roc_curve 0.7362962962962963 [0.736296,0.736296] area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.7548148148148148 [0.754815,0.754815] area_under_roc_curve 0.7677777777777778 [0.767778,0.767778] area_under_roc_curve 0.7584615384615384 [0.758462,0.758462] area_under_roc_curve 0.7084615384615386 [0.708462,0.708462] 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 0.8023022094980975 [0.854369,0.705882] f_measure 0.7000230043708305 [0.796296,0.521739] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.6604823747680889 [0.785714,0.428571] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.8286619148983513 [0.873786,0.745098] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.8179396551489576 [0.882883,0.697674] f_measure 0.805865674286727 [0.87037,0.681818] f_measure 0.7459877154745392 [0.815534,0.612245] kappa 0.5610034207525657 kappa 0.32670906200317973 kappa 0.4095092024539878 kappa 0.23762376237623756 kappa 0.4936170212765959 kappa 0.619536297985557 kappa 0.5276073619631902 kappa 0.5909276665304456 kappa 0.5581395348837209 kappa 0.42879746835443044 kb_relative_information_score 0.5545324160387087 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.2872518656619342 kb_relative_information_score 0.4951367381772036 kb_relative_information_score 0.613928093900214 kb_relative_information_score 0.5248345771079562 kb_relative_information_score 0.6139280939002145 kb_relative_information_score 0.5752761162417858 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.19480519480519481 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.3116883116883117 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.18421052631578946 mean_absolute_error 0.25 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8020705709384955 [0.830189,0.75] precision 0.7028778843660877 [0.741379,0.631579] precision 0.7337348641696468 [0.777778,0.652174] precision 0.6712191034771681 [0.709677,0.6] precision 0.7744982290436836 [0.8,0.727273] precision 0.8289328595932369 [0.849057,0.791667] precision 0.788276136102223 [0.814815,0.73913] precision 0.8503433042367468 [0.803279,0.9375] precision 0.8182093163944343 [0.810345,0.833333] precision 0.7444626743232158 [0.792453,0.652174] predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.8157894736842105 predictive_accuracy 0.75 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 recall 0.8051948051948052 [0.88,0.666667] recall 0.7142857142857143 [0.86,0.444444] recall 0.7402597402597403 [0.84,0.555556] recall 0.6883116883116883 [0.88,0.333333] recall 0.7792207792207793 [0.88,0.592593] recall 0.8311688311688312 [0.9,0.703704] recall 0.7922077922077922 [0.88,0.62963] recall 0.8311688311688312 [0.98,0.555556] recall 0.8157894736842105 [0.94,0.576923] recall 0.75 [0.84,0.576923] relative_absolute_error 0.4281424917522329 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.6850279868035726 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.4071612025985791 relative_absolute_error 0.5525759178123575 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.4413674147523748 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.5582905262390825 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.42919753763947605 root_mean_squared_error 0.5 root_relative_squared_error 0.9249590359329101 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.169990918360609 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 0.9045831544436581 root_relative_squared_error 1.0538074838671416 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 561.6077380109346 usercpu_time_millis 572.9062109894585 usercpu_time_millis 558.3533759927377 usercpu_time_millis 538.4408499812707 usercpu_time_millis 596.9286660110811 usercpu_time_millis 584.2480429855641 usercpu_time_millis 584.7021450026659 usercpu_time_millis 554.3414109997684 usercpu_time_millis 457.09943599649705 usercpu_time_millis 454.38420500431675 usercpu_time_millis_testing 2.9043620015727356 usercpu_time_millis_testing 3.770525989239104 usercpu_time_millis_testing 3.2309280068147928 usercpu_time_millis_testing 3.2222009904216975 usercpu_time_millis_testing 3.480896004475653 usercpu_time_millis_testing 3.064151998842135 usercpu_time_millis_testing 3.1788530031917617 usercpu_time_millis_testing 3.1631820020265877 usercpu_time_millis_testing 3.135241990094073 usercpu_time_millis_testing 3.2762260088929906 usercpu_time_millis_training 558.7033760093618 usercpu_time_millis_training 569.1356850002194 usercpu_time_millis_training 555.1224479859229 usercpu_time_millis_training 535.218648990849 usercpu_time_millis_training 593.4477700066054 usercpu_time_millis_training 581.183890986722 usercpu_time_millis_training 581.5232919994742 usercpu_time_millis_training 551.1782289977418 usercpu_time_millis_training 453.964194006403 usercpu_time_millis_training 451.10797899542376 wall_clock_time_millis 566.1368370056152 wall_clock_time_millis 573.7650394439697 wall_clock_time_millis 558.4549903869629 wall_clock_time_millis 538.4924411773682 wall_clock_time_millis 596.9681739807129 wall_clock_time_millis 584.2998027801514 wall_clock_time_millis 584.7377777099609 wall_clock_time_millis 554.3684959411621 wall_clock_time_millis 459.17391777038574 wall_clock_time_millis 456.859827041626 wall_clock_time_millis_testing 2.9172897338867188 wall_clock_time_millis_testing 3.7894248962402344 wall_clock_time_millis_testing 3.24249267578125 wall_clock_time_millis_testing 3.2379627227783203 wall_clock_time_millis_testing 3.498554229736328 wall_clock_time_millis_testing 3.079652786254883 wall_clock_time_millis_testing 3.192901611328125 wall_clock_time_millis_testing 3.1800270080566406 wall_clock_time_millis_testing 3.144979476928711 wall_clock_time_millis_testing 3.295421600341797 wall_clock_time_millis_training 563.2195472717285 wall_clock_time_millis_training 569.9756145477295 wall_clock_time_millis_training 555.2124977111816 wall_clock_time_millis_training 535.2544784545898 wall_clock_time_millis_training 593.4696197509766 wall_clock_time_millis_training 581.2201499938965 wall_clock_time_millis_training 581.5448760986328 wall_clock_time_millis_training 551.1884689331055 wall_clock_time_millis_training 456.02893829345703 wall_clock_time_millis_training 453.5644054412842