10330581 8323 Heinrich Peters 146825 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8157043 l2_regularization 0.01 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 8 12677 max_depth 4 12677 max_iter 400 12677 max_leaf_nodes 32 12677 min_samples_leaf 12 12677 n_iter_no_change null 12677 random_state 33325 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 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. 40996 Fashion-MNIST https://www.openml.org/data/download/18238735/phpnBqZGZ -1 21582861 description https://api.openml.org/data/download/21582861/description.xml -1 21582862 predictions https://api.openml.org/data/download/21582862/predictions.arff area_under_roc_curve 0.7147536883219956 [0.709259,0.812083,0.628995,0.704045,0.670515,0.765529,0.578598,0.75127,0.73824,0.789002] average_cost 0 f_measure 0.48811238330419177 [0.484255,0.675692,0.335187,0.467698,0.397833,0.560332,0.239274,0.589136,0.518708,0.613007] kappa 0.42887301587301585 kb_relative_information_score 0.4624657034031031 mean_absolute_error 0.10280286038995666 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.4924513962915787 [0.499242,0.700675,0.343478,0.468974,0.382516,0.535626,0.228952,0.658489,0.503633,0.602929] predictive_accuracy 0.48598571428571424 prior_entropy 3.321928094891228 recall 0.4859857142857143 [0.470143,0.652429,0.327286,0.466429,0.414429,0.587429,0.250571,0.533,0.534714,0.623429] relative_absolute_error 0.5711270021658763 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.3206288463810257 root_relative_squared_error 1.0687628212695715 total_cost 0 area_under_roc_curve 0.7126395238095239 [0.632567,0.801111,0.673968,0.718769,0.66413,0.756356,0.522549,0.824603,0.739802,0.79254] area_under_roc_curve 0.7395485941043084 [0.784091,0.913333,0.684399,0.769968,0.670305,0.72754,0.613047,0.551032,0.802962,0.87881] area_under_roc_curve 0.6433614058956916 [0.608729,0.874274,0.489841,0.609524,0.677709,0.708057,0.555556,0.577698,0.722778,0.609449] area_under_roc_curve 0.6609721995464851 [0.536663,0.808538,0.626984,0.506587,0.69345,0.78073,0.512078,0.821667,0.536259,0.786766] area_under_roc_curve 0.7168515646258503 [0.820745,0.898492,0.573254,0.75746,0.648492,0.763968,0.569707,0.691327,0.710664,0.734406] area_under_roc_curve 0.7504749773242632 [0.740079,0.812745,0.724982,0.742217,0.619786,0.778968,0.61719,0.81373,0.794813,0.860238] area_under_roc_curve 0.7095217573696146 [0.713847,0.499207,0.67177,0.716985,0.554278,0.792849,0.628766,0.853571,0.841406,0.82254] area_under_roc_curve 0.7445315873015872 [0.812619,0.831959,0.609354,0.795131,0.776008,0.783774,0.518429,0.83839,0.769811,0.709841] area_under_roc_curve 0.698293866213152 [0.702418,0.803804,0.55254,0.667288,0.636729,0.750794,0.612487,0.687335,0.699365,0.870179] area_under_roc_curve 0.7712835260770978 [0.740756,0.876966,0.682937,0.756561,0.764334,0.812222,0.63609,0.853391,0.7645,0.825079] 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 0.48117590315819697 [0.337625,0.653001,0.376777,0.497469,0.385396,0.595778,0.13112,0.646053,0.569157,0.619382] f_measure 0.5162593462910515 [0.596273,0.843081,0.432665,0.573204,0.409621,0.453006,0.307346,0.187148,0.612434,0.747814] f_measure 0.3537205819848991 [0.304731,0.763713,0.079826,0.317241,0.400524,0.415541,0.2,0.258675,0.516129,0.280826] f_measure 0.3800729529164081 [0.148148,0.590038,0.332353,0.117014,0.429894,0.619822,0.107926,0.660261,0.172727,0.622545] f_measure 0.49335898695916075 [0.609711,0.840623,0.248112,0.601896,0.368611,0.546896,0.218163,0.514392,0.462264,0.522923] f_measure 0.5456678014868016 [0.517406,0.643347,0.465377,0.509235,0.354528,0.618587,0.3177,0.682999,0.603344,0.744153] f_measure 0.4622189028331591 [0.512941,0.013175,0.385101,0.474074,0.194152,0.618614,0.274351,0.730742,0.711648,0.707391] f_measure 0.5232944981048652 [0.655876,0.724943,0.33923,0.594383,0.458178,0.597367,0.100535,0.710602,0.569273,0.482558] f_measure 0.453377613943902 [0.464618,0.604288,0.194602,0.40438,0.344428,0.548936,0.303428,0.461781,0.455571,0.751743] f_measure 0.5929503142167755 [0.541728,0.809023,0.435165,0.583587,0.479489,0.65678,0.347762,0.757238,0.601838,0.716895] kappa 0.4252380952380952 kappa 0.4787301587301587 kappa 0.28619047619047616 kappa 0.3196825396825397 kappa 0.4331746031746032 kappa 0.5004761904761904 kappa 0.41888888888888887 kappa 0.4887301587301587 kappa 0.39555555555555555 kappa 0.542063492063492 kb_relative_information_score 0.4590445895256797 kb_relative_information_score 0.5093903429998679 kb_relative_information_score 0.32817550927835126 kb_relative_information_score 0.3596976279223981 kb_relative_information_score 0.4665142858868603 kb_relative_information_score 0.5298573110293935 kb_relative_information_score 0.4530688324367638 kb_relative_information_score 0.5188021598683515 kb_relative_information_score 0.4311078551308659 kb_relative_information_score 0.5689985199618043 mean_absolute_error 0.10345714285714681 mean_absolute_error 0.09382857142857319 mean_absolute_error 0.12848571428572392 mean_absolute_error 0.12245714285715209 mean_absolute_error 0.10202857142857506 mean_absolute_error 0.08991428571428658 mean_absolute_error 0.10460000000000422 mean_absolute_error 0.0920285716802695 mean_absolute_error 0.10880003221992433 mean_absolute_error 0.08242857142857055 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] precision 0.48630951834977115 [0.338109,0.66967,0.321862,0.50366,0.365854,0.658031,0.156436,0.59878,0.641577,0.609116] precision 0.5252417205107949 [0.576769,0.84188,0.433908,0.554813,0.418155,0.383021,0.323344,0.44385,0.570197,0.70648] precision 0.37521491954507186 [0.347349,0.752078,0.081121,0.4,0.369565,0.342937,0.18642,0.49004,0.543444,0.239196] precision 0.38596169964378957 [0.285714,0.533487,0.342424,0.110546,0.400246,0.642638,0.131687,0.635403,0.143396,0.634074] precision 0.5334447834060005 [0.535059,0.873652,0.506608,0.673145,0.371553,0.5086,0.169158,0.734748,0.4375,0.524425] precision 0.5543891578278842 [0.495425,0.618734,0.413068,0.473039,0.544379,0.644961,0.337621,0.710974,0.567296,0.738397] precision 0.4960180864317958 [0.568696,0.084746,0.345023,0.448408,0.535484,0.60631,0.19161,0.723077,0.707627,0.749201] precision 0.5456397626611603 [0.646325,0.767145,0.624521,0.547533,0.339532,0.580081,0.2,0.712644,0.547493,0.491124] precision 0.4529277581123092 [0.46495,0.554231,0.193503,0.413433,0.348974,0.54507,0.309985,0.514938,0.449861,0.734332] precision 0.6072621637078482 [0.555556,0.853968,0.446617,0.623377,0.382328,0.649441,0.357466,0.788253,0.648515,0.767101] predictive_accuracy 0.4827142857142857 predictive_accuracy 0.5308571428571429 predictive_accuracy 0.3575714285714286 predictive_accuracy 0.38771428571428573 predictive_accuracy 0.4898571428571429 predictive_accuracy 0.5504285714285715 predictive_accuracy 0.47700000000000004 predictive_accuracy 0.5398571428571429 predictive_accuracy 0.456 predictive_accuracy 0.5878571428571429 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 recall 0.4827142857142857 [0.337143,0.637143,0.454286,0.491429,0.407143,0.544286,0.112857,0.701429,0.511429,0.63] recall 0.5308571428571428 [0.617143,0.844286,0.431429,0.592857,0.401429,0.554286,0.292857,0.118571,0.661429,0.794286] recall 0.3575714285714286 [0.271429,0.775714,0.078571,0.262857,0.437143,0.527143,0.215714,0.175714,0.491429,0.34] recall 0.38771428571428573 [0.1,0.66,0.322857,0.124286,0.464286,0.598571,0.091429,0.687143,0.217143,0.611429] recall 0.4898571428571429 [0.708571,0.81,0.164286,0.544286,0.365714,0.591429,0.307143,0.395714,0.49,0.521429] recall 0.5504285714285714 [0.541429,0.67,0.532857,0.551429,0.262857,0.594286,0.3,0.657143,0.644286,0.75] recall 0.477 [0.467143,0.007143,0.435714,0.502857,0.118571,0.631429,0.482857,0.738571,0.715714,0.67] recall 0.5398571428571428 [0.665714,0.687143,0.232857,0.65,0.704286,0.615714,0.067143,0.708571,0.592857,0.474286] recall 0.456 [0.464286,0.664286,0.195714,0.395714,0.34,0.552857,0.297143,0.418571,0.461429,0.77] recall 0.5878571428571429 [0.528571,0.768571,0.424286,0.548571,0.642857,0.664286,0.338571,0.728571,0.561429,0.672857] relative_absolute_error 0.5747619047619458 relative_absolute_error 0.5212698412698683 relative_absolute_error 0.7138095238096009 relative_absolute_error 0.6803174603175342 relative_absolute_error 0.5668253968254359 relative_absolute_error 0.49952380952383096 relative_absolute_error 0.5811111111111539 relative_absolute_error 0.5112698426681809 relative_absolute_error 0.6044446234440441 relative_absolute_error 0.4579365079365183 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_squared_error 0.32164754445999866 root_mean_squared_error 0.3063144975814452 root_mean_squared_error 0.35844904001227834 root_mean_squared_error 0.3499387699434348 root_mean_squared_error 0.31941911562800224 root_mean_squared_error 0.29985710882733224 root_mean_squared_error 0.3234192325759311 root_mean_squared_error 0.3033621127111527 root_mean_squared_error 0.32984845010391506 root_mean_squared_error 0.2871037642187411 root_relative_squared_error 1.0721584815333467 root_relative_squared_error 1.0210483252715008 root_relative_squared_error 1.1948301333742808 root_relative_squared_error 1.1664625664781354 root_relative_squared_error 1.0647303854266916 root_relative_squared_error 0.9995236960911239 root_relative_squared_error 1.0780641085864549 root_relative_squared_error 1.0112070423705257 root_relative_squared_error 1.0994948336797348 root_relative_squared_error 0.9570125473958195 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 112476.43150301883 usercpu_time_millis 112567.83983996138 usercpu_time_millis 100420.56765398593 usercpu_time_millis 119004.45166300051 usercpu_time_millis 139373.16671200097 usercpu_time_millis 137642.60871201986 usercpu_time_millis 127999.9769780261 usercpu_time_millis 149427.07510100445 usercpu_time_millis 87765.51403102349 usercpu_time_millis 150799.23068900825 usercpu_time_millis_testing 490.3000660124235 usercpu_time_millis_testing 253.22187299025245 usercpu_time_millis_testing 266.3970119901933 usercpu_time_millis_testing 288.0183599772863 usercpu_time_millis_testing 303.3797370153479 usercpu_time_millis_testing 296.22350601130165 usercpu_time_millis_testing 262.39607902243733 usercpu_time_millis_testing 293.33207799936645 usercpu_time_millis_testing 260.715260024881 usercpu_time_millis_testing 288.9635619940236 usercpu_time_millis_training 111986.1314370064 usercpu_time_millis_training 112314.61796697113 usercpu_time_millis_training 100154.17064199573 usercpu_time_millis_training 118716.43330302322 usercpu_time_millis_training 139069.78697498562 usercpu_time_millis_training 137346.38520600856 usercpu_time_millis_training 127737.58089900366 usercpu_time_millis_training 149133.74302300508 usercpu_time_millis_training 87504.7987709986 usercpu_time_millis_training 150510.26712701423 wall_clock_time_millis 112478.47890853882 wall_clock_time_millis 112569.77915763855 wall_clock_time_millis 100422.32298851013 wall_clock_time_millis 119006.88433647156 wall_clock_time_millis 139375.87428092957 wall_clock_time_millis 137645.09892463684 wall_clock_time_millis 128048.31838607788 wall_clock_time_millis 149429.8174381256 wall_clock_time_millis 87767.26341247559 wall_clock_time_millis 150802.14071273804 wall_clock_time_millis_testing 490.3137683868408 wall_clock_time_millis_testing 253.2331943511963 wall_clock_time_millis_testing 266.40892028808594 wall_clock_time_millis_testing 288.03038597106934 wall_clock_time_millis_testing 303.3907413482666 wall_clock_time_millis_testing 296.2346076965332 wall_clock_time_millis_testing 262.406587600708 wall_clock_time_millis_testing 293.34259033203125 wall_clock_time_millis_testing 260.7254981994629 wall_clock_time_millis_testing 288.9745235443115 wall_clock_time_millis_training 111988.16514015198 wall_clock_time_millis_training 112316.54596328735 wall_clock_time_millis_training 100155.91406822205 wall_clock_time_millis_training 118718.85395050049 wall_clock_time_millis_training 139072.4835395813 wall_clock_time_millis_training 137348.8643169403 wall_clock_time_millis_training 127785.91179847717 wall_clock_time_millis_training 149136.47484779358 wall_clock_time_millis_training 87506.53791427612 wall_clock_time_millis_training 150513.16618919373