10330498 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) 8156781 l2_regularization 0.01 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 16 12677 max_depth 12 12677 max_iter 350 12677 max_leaf_nodes 32 12677 min_samples_leaf 29 12677 n_iter_no_change null 12677 random_state 801 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. 40996 Fashion-MNIST https://www.openml.org/data/download/18238735/phpnBqZGZ -1 21582695 description https://api.openml.org/data/download/21582695/description.xml -1 21582696 predictions https://api.openml.org/data/download/21582696/predictions.arff area_under_roc_curve 0.994423206802721 [0.992371,0.99979,0.990126,0.996946,0.991109,0.999773,0.975914,0.999211,0.999566,0.999426] average_cost 0 f_measure 0.9117602459800902 [0.86656,0.98872,0.851393,0.919053,0.85448,0.981387,0.746284,0.963341,0.978818,0.967566] kappa 0.9023492063492065 kb_relative_information_score 0.9154122919069897 mean_absolute_error 0.019937679857630872 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.9118015859491273 [0.847562,0.994508,0.844748,0.914439,0.844758,0.987419,0.777726,0.956356,0.980642,0.969858] predictive_accuracy 0.9121142857142857 prior_entropy 3.321928094891228 recall 0.9121142857142858 [0.886429,0.983,0.858143,0.923714,0.864429,0.975429,0.717286,0.970429,0.977,0.965286] relative_absolute_error 0.11076488809784271 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.11596982846352351 root_relative_squared_error 0.3865660948782257 total_cost 0 area_under_roc_curve 0.9942342630385488 [0.993127,0.999905,0.988026,0.9974,0.99106,0.999691,0.975785,0.998567,0.99965,0.999132] area_under_roc_curve 0.9942455102040817 [0.992803,0.999929,0.988255,0.996695,0.990408,0.999709,0.975903,0.999389,0.9997,0.999665] area_under_roc_curve 0.9939273696145124 [0.991341,0.999915,0.989612,0.997238,0.990509,0.999918,0.972565,0.999115,0.999798,0.999263] area_under_roc_curve 0.9950036734693877 [0.993577,0.999878,0.992368,0.996898,0.992367,0.999822,0.977239,0.999112,0.999515,0.999261] area_under_roc_curve 0.9941804535147393 [0.990724,0.999977,0.989243,0.997964,0.991084,0.999858,0.974676,0.999186,0.999715,0.999377] area_under_roc_curve 0.99466231292517 [0.992085,0.999101,0.990669,0.996718,0.990584,0.99972,0.979288,0.999395,0.99959,0.999473] area_under_roc_curve 0.9953356916099774 [0.993885,0.999898,0.992412,0.996596,0.992659,0.999922,0.979477,0.999471,0.999437,0.9996] area_under_roc_curve 0.99413410430839 [0.992394,0.999854,0.988589,0.997081,0.989925,0.999807,0.976115,0.999274,0.998927,0.999374] area_under_roc_curve 0.9943844671201814 [0.990714,0.9995,0.99229,0.996737,0.991988,0.999684,0.974402,0.999212,0.999803,0.999514] area_under_roc_curve 0.9941563265306123 [0.993223,0.99995,0.989757,0.996234,0.990419,0.999612,0.973829,0.999382,0.999577,0.99958] 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 0.9080735841815429 [0.873692,0.987069,0.836545,0.923185,0.854062,0.980534,0.737609,0.959097,0.970609,0.958333] f_measure 0.9148241266173401 [0.870474,0.988506,0.8529,0.916786,0.85855,0.979092,0.763879,0.964589,0.979914,0.973553] f_measure 0.9078430861302434 [0.865358,0.987796,0.849508,0.919605,0.837667,0.983441,0.723436,0.96265,0.982759,0.966211] f_measure 0.9159791568650903 [0.868109,0.990654,0.871469,0.926376,0.865398,0.984218,0.749258,0.963016,0.97711,0.964183] f_measure 0.9104164576766048 [0.849083,0.991392,0.832745,0.937053,0.866385,0.984241,0.734572,0.960517,0.980114,0.968062] f_measure 0.9083585085001653 [0.869263,0.986301,0.839914,0.907026,0.835905,0.977682,0.756477,0.96416,0.977682,0.969176] f_measure 0.9159815415072309 [0.87395,0.990654,0.862166,0.906725,0.857343,0.984263,0.764793,0.969264,0.979271,0.971388] f_measure 0.909944216769783 [0.85976,0.989247,0.840764,0.920813,0.848057,0.985653,0.744395,0.965174,0.979914,0.965665] f_measure 0.9133198101347344 [0.856747,0.98705,0.881598,0.914326,0.864827,0.974138,0.74489,0.957567,0.985053,0.967001] f_measure 0.912782449750213 [0.878893,0.988522,0.846208,0.918571,0.856736,0.980562,0.743153,0.967422,0.975714,0.972043] kappa 0.8980952380952381 kappa 0.9055555555555556 kappa 0.8982539682539683 kappa 0.906984126984127 kappa 0.900952380952381 kappa 0.8984126984126984 kappa 0.9068253968253969 kappa 0.9004761904761905 kappa 0.9044444444444445 kappa 0.9034920634920635 kb_relative_information_score 0.9117303241306403 kb_relative_information_score 0.9153993654859555 kb_relative_information_score 0.9126323936763537 kb_relative_information_score 0.9188848669627476 kb_relative_information_score 0.914679538671403 kb_relative_information_score 0.9129331815628311 kb_relative_information_score 0.9213153619225685 kb_relative_information_score 0.9146081894019106 kb_relative_information_score 0.9174966856542842 kb_relative_information_score 0.9144430116126319 mean_absolute_error 0.020581560089300753 mean_absolute_error 0.02006813561073696 mean_absolute_error 0.020435782003160572 mean_absolute_error 0.019360230301478255 mean_absolute_error 0.020220878341908124 mean_absolute_error 0.02039602806461179 mean_absolute_error 0.018772183977972774 mean_absolute_error 0.020026479460957744 mean_absolute_error 0.019509699095556797 mean_absolute_error 0.020005821630624223 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 0.9081194706872179 [0.854025,0.992775,0.835949,0.910987,0.859624,0.989811,0.752976,0.947075,0.974101,0.963873] precision 0.9150580039788389 [0.849185,0.99422,0.844538,0.920749,0.846047,0.988355,0.792627,0.956461,0.98415,0.974249] precision 0.9079348707983838 [0.849862,0.992785,0.836565,0.908078,0.824343,0.991292,0.76555,0.94993,0.988439,0.972504] precision 0.9160588658062039 [0.848568,0.997106,0.861732,0.927039,0.853964,0.988473,0.779321,0.958924,0.97851,0.966954] precision 0.9103394307758165 [0.83844,0.995677,0.822873,0.938395,0.853186,0.987069,0.765891,0.965368,0.974576,0.961918] precision 0.9086283407274466 [0.846883,0.995633,0.844156,0.901269,0.820937,0.985486,0.784946,0.948824,0.985486,0.972662] precision 0.9162339760802399 [0.857143,0.997106,0.84903,0.918009,0.839726,0.985673,0.792945,0.969957,0.979971,0.972779] precision 0.9099253036942092 [0.848401,0.992806,0.8331,0.903714,0.839161,0.989914,0.780564,0.960396,0.98415,0.967049] precision 0.913449145844673 [0.830872,0.994203,0.880342,0.899171,0.856942,0.979769,0.792271,0.948179,0.98156,0.971182] precision 0.9128319635552975 [0.852349,0.992795,0.839662,0.918571,0.854908,0.988389,0.771121,0.95927,0.975714,0.97554] predictive_accuracy 0.9082857142857143 predictive_accuracy 0.915 predictive_accuracy 0.9084285714285714 predictive_accuracy 0.9162857142857144 predictive_accuracy 0.9108571428571429 predictive_accuracy 0.9085714285714286 predictive_accuracy 0.9161428571428571 predictive_accuracy 0.9104285714285715 predictive_accuracy 0.914 predictive_accuracy 0.9131428571428571 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 0.9082857142857143 [0.894286,0.981429,0.837143,0.935714,0.848571,0.971429,0.722857,0.971429,0.967143,0.952857] recall 0.915 [0.892857,0.982857,0.861429,0.912857,0.871429,0.97,0.737143,0.972857,0.975714,0.972857] recall 0.9084285714285715 [0.881429,0.982857,0.862857,0.931429,0.851429,0.975714,0.685714,0.975714,0.977143,0.96] recall 0.9162857142857143 [0.888571,0.984286,0.881429,0.925714,0.877143,0.98,0.721429,0.967143,0.975714,0.961429] recall 0.9108571428571428 [0.86,0.987143,0.842857,0.935714,0.88,0.981429,0.705714,0.955714,0.985714,0.974286] recall 0.9085714285714286 [0.892857,0.977143,0.835714,0.912857,0.851429,0.97,0.73,0.98,0.97,0.965714] recall 0.9161428571428571 [0.891429,0.984286,0.875714,0.895714,0.875714,0.982857,0.738571,0.968571,0.978571,0.97] recall 0.9104285714285715 [0.871429,0.985714,0.848571,0.938571,0.857143,0.981429,0.711429,0.97,0.975714,0.964286] recall 0.914 [0.884286,0.98,0.882857,0.93,0.872857,0.968571,0.702857,0.967143,0.988571,0.962857] recall 0.9131428571428571 [0.907143,0.984286,0.852857,0.918571,0.858571,0.972857,0.717143,0.975714,0.975714,0.968571] relative_absolute_error 0.11434200049611908 relative_absolute_error 0.11148964228187568 relative_absolute_error 0.11353212223978472 relative_absolute_error 0.1075568350082161 relative_absolute_error 0.11233821301060441 relative_absolute_error 0.11331126702562483 relative_absolute_error 0.10428991098874109 relative_absolute_error 0.11125821922754671 relative_absolute_error 0.10838721719754135 relative_absolute_error 0.1111434535034716 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 0.1183988967654285 root_mean_squared_error 0.11596442925466612 root_mean_squared_error 0.11778296494381987 root_mean_squared_error 0.11320033550921885 root_mean_squared_error 0.11656853801023018 root_mean_squared_error 0.11756210908733432 root_mean_squared_error 0.11123614906553733 root_mean_squared_error 0.11686826393782865 root_mean_squared_error 0.1150803894707613 root_mean_squared_error 0.11684425179780644 root_relative_squared_error 0.3946629892181015 root_relative_squared_error 0.3865480975155601 root_relative_squared_error 0.39260988314607276 root_relative_squared_error 0.3773344516974024 root_relative_squared_error 0.38856179336744034 root_relative_squared_error 0.3918736969577875 root_relative_squared_error 0.3707871635517972 root_relative_squared_error 0.3895608797927686 root_relative_squared_error 0.38360129823587735 root_relative_squared_error 0.3894808393260279 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 1562703.2036689925 usercpu_time_millis 1558896.5437059961 usercpu_time_millis 1581396.8995339964 usercpu_time_millis 1566080.2687830003 usercpu_time_millis 1578048.5326780183 usercpu_time_millis 1585324.186734986 usercpu_time_millis 1550701.3598450138 usercpu_time_millis 1536362.489588995 usercpu_time_millis 1575441.3274660036 usercpu_time_millis 1549646.203518991 usercpu_time_millis_testing 2474.9880519957514 usercpu_time_millis_testing 2463.0055360030383 usercpu_time_millis_testing 2383.214285990107 usercpu_time_millis_testing 2540.538426997955 usercpu_time_millis_testing 2500.8830950100673 usercpu_time_millis_testing 2376.3855029974366 usercpu_time_millis_testing 2392.467331010266 usercpu_time_millis_testing 2212.8567680047126 usercpu_time_millis_testing 2615.373819004162 usercpu_time_millis_testing 2441.076636998332 usercpu_time_millis_training 1560228.2156169969 usercpu_time_millis_training 1556433.538169993 usercpu_time_millis_training 1579013.6852480064 usercpu_time_millis_training 1563539.7303560022 usercpu_time_millis_training 1575547.6495830081 usercpu_time_millis_training 1582947.8012319887 usercpu_time_millis_training 1548308.8925140037 usercpu_time_millis_training 1534149.6328209904 usercpu_time_millis_training 1572825.9536469996 usercpu_time_millis_training 1547205.1268819924 wall_clock_time_millis 1562732.5949668884 wall_clock_time_millis 1558961.583852768 wall_clock_time_millis 1581424.0083694458 wall_clock_time_millis 1566162.9383563995 wall_clock_time_millis 1578077.5339603424 wall_clock_time_millis 1585356.3096523285 wall_clock_time_millis 1550740.2226924896 wall_clock_time_millis 1536390.0797367096 wall_clock_time_millis 1575472.1734523773 wall_clock_time_millis 1549677.598953247 wall_clock_time_millis_testing 2475.027084350586 wall_clock_time_millis_testing 2463.0680084228516 wall_clock_time_millis_testing 2383.2497596740723 wall_clock_time_millis_testing 2541.651964187622 wall_clock_time_millis_testing 2500.959873199463 wall_clock_time_millis_testing 2376.4243125915527 wall_clock_time_millis_testing 2392.5275802612305 wall_clock_time_millis_testing 2212.8918170928955 wall_clock_time_millis_testing 2615.4370307922363 wall_clock_time_millis_testing 2441.114664077759 wall_clock_time_millis_training 1560257.5678825378 wall_clock_time_millis_training 1556498.515844345 wall_clock_time_millis_training 1579040.7586097717 wall_clock_time_millis_training 1563621.286392212 wall_clock_time_millis_training 1575576.574087143 wall_clock_time_millis_training 1582979.885339737 wall_clock_time_millis_training 1548347.6951122284 wall_clock_time_millis_training 1534177.1879196167 wall_clock_time_millis_training 1572856.736421585 wall_clock_time_millis_training 1547236.4842891693