10291034 8323 Heinrich Peters 37 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8168772 l2_regularization 0.001 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 64 12677 max_depth 11 12677 max_iter 500 12677 max_leaf_nodes 128 12677 min_samples_leaf 5 12677 n_iter_no_change null 12677 random_state 41004 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21503586 description https://api.openml.org/data/download/21503586/description.xml -1 21503587 predictions https://api.openml.org/data/download/21503587/predictions.arff area_under_roc_curve 0.801813432835821 [0.801813,0.801813] average_cost 0 f_measure 0.7474323512787905 [0.8091,0.632381] kappa 0.44160814924203595 kb_relative_information_score 0.41448308697219405 mean_absolute_error 0.2569253982085221 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7464853555755226 [0.800391,0.645914] predictive_accuracy 0.7486979166666667 prior_entropy 0.9331348051619819 recall 0.7486979166666666 [0.818,0.619403] relative_absolute_error 0.5653031740556623 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47454827435945657 root_relative_squared_error 0.9956095923042877 total_cost 0 area_under_roc_curve 0.9044444444444444 [0.904444,0.904444] area_under_roc_curve 0.7303703703703703 [0.73037,0.73037] area_under_roc_curve 0.8125925925925926 [0.812593,0.812593] area_under_roc_curve 0.7985185185185185 [0.798519,0.798519] area_under_roc_curve 0.7755555555555557 [0.775556,0.775556] area_under_roc_curve 0.7859259259259259 [0.785926,0.785926] area_under_roc_curve 0.8296296296296296 [0.82963,0.82963] area_under_roc_curve 0.8066666666666666 [0.806667,0.806667] area_under_roc_curve 0.8161538461538461 [0.816154,0.816154] area_under_roc_curve 0.7507692307692309 [0.750769,0.750769] 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 0.8701298701298701 [0.9,0.814815] f_measure 0.6818381618381618 [0.769231,0.52] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.7378112083994437 [0.803922,0.615385] f_measure 0.7142857142857143 [0.78,0.592593] f_measure 0.7260499634869146 [0.792079,0.603774] f_measure 0.7495827986975903 [0.815534,0.627451] f_measure 0.7759425040978439 [0.834951,0.666667] f_measure 0.7459877154745392 [0.815534,0.612245] f_measure 0.7162605707224775 [0.765957,0.62069] kappa 0.7148148148148147 kappa 0.2914110429447853 kappa 0.4534927157265597 kappa 0.41974378296910325 kappa 0.37259259259259264 kappa 0.39596563317146066 kappa 0.4439376662865831 kappa 0.5024705435195743 kappa 0.42879746835443044 kappa 0.39067055393586003 kb_relative_information_score 0.6197596440953691 kb_relative_information_score 0.2958346329695573 kb_relative_information_score 0.45034331035589836 kb_relative_information_score 0.3895405471367084 kb_relative_information_score 0.30206078602094566 kb_relative_information_score 0.37026799293901247 kb_relative_information_score 0.45234817086596046 kb_relative_information_score 0.4827227515930613 kb_relative_information_score 0.43677531618105037 kb_relative_information_score 0.3441652288386198 mean_absolute_error 0.17195469734253363 mean_absolute_error 0.3064820712219929 mean_absolute_error 0.2415178176307413 mean_absolute_error 0.2683776247537316 mean_absolute_error 0.3063205782718085 mean_absolute_error 0.27810627027963297 mean_absolute_error 0.2401419093100258 mean_absolute_error 0.22698798739101467 mean_absolute_error 0.24453586729102006 mean_absolute_error 0.28503329319096715 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 0.8701298701298701 [0.9,0.814815] precision 0.6791935922370705 [0.740741,0.565217] precision 0.7512977218859571 [0.803922,0.653846] precision 0.7364035964035964 [0.788462,0.64] precision 0.7142857142857143 [0.78,0.592593] precision 0.7250788427259015 [0.784314,0.615385] precision 0.7483459936290124 [0.792453,0.666667] precision 0.775208282283754 [0.811321,0.708333] precision 0.7444626743232158 [0.792453,0.652174] precision 0.7307117224880383 [0.818182,0.5625] predictive_accuracy 0.8701298701298701 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.75 predictive_accuracy 0.7105263157894737 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 0.8701298701298701 [0.9,0.814815] recall 0.6883116883116883 [0.8,0.481481] recall 0.7532467532467533 [0.82,0.62963] recall 0.7402597402597403 [0.82,0.592593] recall 0.7142857142857143 [0.78,0.592593] recall 0.7272727272727273 [0.8,0.592593] recall 0.7532467532467533 [0.84,0.592593] recall 0.7792207792207793 [0.86,0.62963] recall 0.75 [0.84,0.576923] recall 0.7105263157894737 [0.72,0.692308] relative_absolute_error 0.3779217112888314 relative_absolute_error 0.6735857212718959 relative_absolute_error 0.5308074065806663 relative_absolute_error 0.5898398402953897 relative_absolute_error 0.6732307923688883 relative_absolute_error 0.6112214391844689 relative_absolute_error 0.5277834378541503 relative_absolute_error 0.4988737729329889 relative_absolute_error 0.540498525225505 relative_absolute_error 0.6300101343683098 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 0.36723757549602193 root_mean_squared_error 0.5332434978312364 root_mean_squared_error 0.4616807908253978 root_mean_squared_error 0.4810181583807382 root_mean_squared_error 0.513086331571571 root_mean_squared_error 0.49014676112336064 root_mean_squared_error 0.45266002920657133 root_mean_squared_error 0.43861373152518324 root_mean_squared_error 0.46759215673474747 root_mean_squared_error 0.5189233296812332 root_relative_squared_error 0.7696075932105544 root_relative_squared_error 1.1175006925878173 root_relative_squared_error 0.9675291036838053 root_relative_squared_error 1.0080537827915796 root_relative_squared_error 1.0752579885559852 root_relative_squared_error 1.027184292453168 root_relative_squared_error 0.9486245930845995 root_relative_squared_error 0.9191882334269826 root_relative_squared_error 0.9855042283293087 root_relative_squared_error 1.093690576742679 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 3267.146270023659 usercpu_time_millis 3122.6015299907885 usercpu_time_millis 3351.9807959964965 usercpu_time_millis 3465.7756069791503 usercpu_time_millis 4134.959184972104 usercpu_time_millis 3939.7601959644817 usercpu_time_millis 3852.482427988434 usercpu_time_millis 3819.3504519877024 usercpu_time_millis 4028.5590080020484 usercpu_time_millis 3639.2391820263583 usercpu_time_millis_testing 14.23843001248315 usercpu_time_millis_testing 17.602256004465744 usercpu_time_millis_testing 19.932027003960684 usercpu_time_millis_testing 19.276738981716335 usercpu_time_millis_testing 23.95240098121576 usercpu_time_millis_testing 19.602577987825498 usercpu_time_millis_testing 19.400874996790662 usercpu_time_millis_testing 16.845008998643607 usercpu_time_millis_testing 20.435549988178536 usercpu_time_millis_testing 17.74954900611192 usercpu_time_millis_training 3252.9078400111757 usercpu_time_millis_training 3104.999273986323 usercpu_time_millis_training 3332.0487689925358 usercpu_time_millis_training 3446.498867997434 usercpu_time_millis_training 4111.006783990888 usercpu_time_millis_training 3920.157617976656 usercpu_time_millis_training 3833.0815529916435 usercpu_time_millis_training 3802.505442989059 usercpu_time_millis_training 4008.12345801387 usercpu_time_millis_training 3621.4896330202464 wall_clock_time_millis 3274.1479873657227 wall_clock_time_millis 3122.7426528930664 wall_clock_time_millis 3352.077007293701 wall_clock_time_millis 3465.8591747283936 wall_clock_time_millis 4135.045766830444 wall_clock_time_millis 3948.619604110718 wall_clock_time_millis 3852.573871612549 wall_clock_time_millis 3819.4475173950195 wall_clock_time_millis 4029.61802482605 wall_clock_time_millis 3639.3027305603027 wall_clock_time_millis_testing 14.254331588745117 wall_clock_time_millis_testing 17.612695693969727 wall_clock_time_millis_testing 19.942045211791992 wall_clock_time_millis_testing 19.292354583740234 wall_clock_time_millis_testing 23.968935012817383 wall_clock_time_millis_testing 19.614458084106445 wall_clock_time_millis_testing 19.41657066345215 wall_clock_time_millis_testing 16.862154006958008 wall_clock_time_millis_testing 20.447492599487305 wall_clock_time_millis_testing 17.747879028320312 wall_clock_time_millis_training 3259.8936557769775 wall_clock_time_millis_training 3105.1299571990967 wall_clock_time_millis_training 3332.134962081909 wall_clock_time_millis_training 3446.5668201446533 wall_clock_time_millis_training 4111.076831817627 wall_clock_time_millis_training 3929.0051460266113 wall_clock_time_millis_training 3833.1573009490967 wall_clock_time_millis_training 3802.5853633880615 wall_clock_time_millis_training 4009.1705322265625 wall_clock_time_millis_training 3621.5548515319824