10327527 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) 8157367 l2_regularization 0.1 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 4 12677 max_depth 18 12677 max_iter 200 12677 max_leaf_nodes 4 12677 min_samples_leaf 39 12677 n_iter_no_change null 12677 random_state 15428 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 21576740 description https://api.openml.org/data/download/21576740/description.xml -1 21576741 predictions https://api.openml.org/data/download/21576741/predictions.arff area_under_roc_curve 0.9792635172335602 [0.978543,0.996004,0.965763,0.983648,0.964336,0.994266,0.929567,0.991985,0.993137,0.995385] average_cost 0 f_measure 0.8056000604090734 [0.774559,0.94072,0.700532,0.803558,0.695786,0.898464,0.54469,0.871875,0.919691,0.906125] kappa 0.7856190476190476 kb_relative_information_score 0.7298218175517893 mean_absolute_error 0.07584748352379776 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.808074341327314 [0.77757,0.983934,0.662088,0.74581,0.680033,0.915863,0.627093,0.866949,0.929144,0.892259] predictive_accuracy 0.8070571428571428 prior_entropy 3.321928094891228 recall 0.8070571428571428 [0.771571,0.901143,0.743714,0.871,0.712286,0.881714,0.481429,0.876857,0.910429,0.920429] relative_absolute_error 0.4213749084651377 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.17145488577921697 root_relative_squared_error 0.5715162859304482 total_cost 0 area_under_roc_curve 0.9793268934240362 [0.980376,0.995691,0.960824,0.984073,0.960152,0.993762,0.939226,0.992443,0.991442,0.99528] area_under_roc_curve 0.9796573922902496 [0.978748,0.997608,0.964898,0.984246,0.965896,0.994624,0.929448,0.992914,0.992827,0.995366] area_under_roc_curve 0.978372857142857 [0.975691,0.995368,0.964162,0.983318,0.965112,0.995011,0.922895,0.993494,0.992681,0.995995] area_under_roc_curve 0.979267006802721 [0.980499,0.996883,0.967705,0.981254,0.964293,0.99461,0.92943,0.989971,0.992749,0.995275] area_under_roc_curve 0.979195918367347 [0.974276,0.996511,0.967295,0.984071,0.966538,0.995714,0.925829,0.991645,0.994526,0.995554] area_under_roc_curve 0.9792609750566892 [0.978139,0.994493,0.966816,0.982353,0.964851,0.993647,0.931645,0.992324,0.991866,0.996477] area_under_roc_curve 0.9799099773242631 [0.98266,0.995387,0.964642,0.983517,0.964196,0.994418,0.932902,0.991894,0.99475,0.994734] area_under_roc_curve 0.9784869160997732 [0.978024,0.99501,0.962849,0.983819,0.964251,0.993929,0.92985,0.991138,0.991488,0.994512] area_under_roc_curve 0.9793368253968253 [0.974712,0.996692,0.971745,0.987171,0.964541,0.992795,0.924843,0.99143,0.993761,0.99568] area_under_roc_curve 0.9799534013605441 [0.98247,0.996424,0.966908,0.982923,0.963527,0.994198,0.929796,0.992771,0.995395,0.995122] 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 0.8058200806543505 [0.783726,0.940653,0.676821,0.805007,0.691393,0.907112,0.564687,0.878118,0.915205,0.89548] f_measure 0.8047031093015713 [0.772695,0.946349,0.693767,0.813582,0.692255,0.895197,0.538272,0.86662,0.918175,0.91012] f_measure 0.8071235515159356 [0.769341,0.93423,0.697959,0.802104,0.70442,0.906433,0.518397,0.894958,0.930565,0.912828] f_measure 0.7987253892216015 [0.772434,0.945022,0.69536,0.786517,0.688143,0.896151,0.533225,0.86202,0.908029,0.900353] f_measure 0.8050214538863072 [0.754745,0.94003,0.712221,0.809993,0.716207,0.902616,0.535073,0.863768,0.921444,0.894118] f_measure 0.805761250971381 [0.783039,0.932039,0.699042,0.799731,0.683916,0.891002,0.558544,0.874822,0.922855,0.912621] f_measure 0.807427614590476 [0.787436,0.947212,0.694611,0.791064,0.682961,0.903179,0.560643,0.877595,0.919075,0.9105] f_measure 0.8043278642251371 [0.773256,0.936709,0.70068,0.800523,0.696317,0.895697,0.546474,0.865208,0.920863,0.907551] f_measure 0.8036807238619599 [0.757532,0.941791,0.726295,0.823834,0.704561,0.884644,0.513115,0.86335,0.916185,0.905501] f_measure 0.8131038903070824 [0.790928,0.943114,0.708672,0.8029,0.69814,0.902386,0.576378,0.872051,0.924188,0.912281] kappa 0.7852380952380953 kappa 0.7849206349206349 kappa 0.7880952380952381 kappa 0.7776190476190475 kappa 0.7857142857142857 kappa 0.7853968253968253 kappa 0.786984126984127 kappa 0.7841269841269841 kappa 0.7847619047619048 kappa 0.7933333333333332 kb_relative_information_score 0.7295767247029914 kb_relative_information_score 0.7316320219605806 kb_relative_information_score 0.7308840717086831 kb_relative_information_score 0.7276416945141166 kb_relative_information_score 0.728209327982994 kb_relative_information_score 0.7284253203306806 kb_relative_information_score 0.7328722910717833 kb_relative_information_score 0.7288713607933995 kb_relative_information_score 0.7285315117981632 kb_relative_information_score 0.7315738506636482 mean_absolute_error 0.07574273523079021 mean_absolute_error 0.07563364223564943 mean_absolute_error 0.07564434100009117 mean_absolute_error 0.07622800206994924 mean_absolute_error 0.07606729309676108 mean_absolute_error 0.07615713184866797 mean_absolute_error 0.07524953755729402 mean_absolute_error 0.07564954063838332 mean_absolute_error 0.0762829769766338 mean_absolute_error 0.07581963458375869 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 0.8093639347020289 [0.783167,0.978395,0.630864,0.746944,0.677641,0.921829,0.655955,0.876245,0.937126,0.885475] precision 0.8074094737987462 [0.761442,0.989097,0.659794,0.761845,0.665349,0.912463,0.634951,0.856346,0.930984,0.901823] precision 0.8092568029958723 [0.771552,0.979624,0.666234,0.742996,0.681818,0.928144,0.606119,0.877747,0.932568,0.905767] precision 0.8016136641774548 [0.776335,0.98452,0.656925,0.731857,0.661397,0.911374,0.616105,0.858357,0.928358,0.890909] precision 0.8078791462425741 [0.771642,0.988959,0.659367,0.750305,0.709677,0.918639,0.623574,0.876471,0.913043,0.867114] precision 0.807530770701299 [0.774825,0.976526,0.670604,0.755076,0.669863,0.913043,0.625887,0.871105,0.931587,0.886792] precision 0.8105619991529595 [0.80568,0.987597,0.650062,0.73236,0.668033,0.913743,0.640367,0.879484,0.929825,0.89847] precision 0.8066817028159314 [0.786982,0.978227,0.668831,0.738239,0.677943,0.915052,0.622263,0.854951,0.927536,0.896792] precision 0.8059895773125985 [0.760807,0.985938,0.68615,0.753555,0.692414,0.910741,0.601923,0.847318,0.926901,0.89415] precision 0.8153150879588504 [0.78481,0.990566,0.673969,0.74541,0.69914,0.913616,0.642105,0.872675,0.934307,0.896552] predictive_accuracy 0.8067142857142858 predictive_accuracy 0.8064285714285714 predictive_accuracy 0.8092857142857143 predictive_accuracy 0.7998571428571428 predictive_accuracy 0.807142857142857 predictive_accuracy 0.8068571428571428 predictive_accuracy 0.8082857142857143 predictive_accuracy 0.8057142857142857 predictive_accuracy 0.8062857142857144 predictive_accuracy 0.8140000000000001 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 0.8067142857142857 [0.784286,0.905714,0.73,0.872857,0.705714,0.892857,0.495714,0.88,0.894286,0.905714] recall 0.8064285714285714 [0.784286,0.907143,0.731429,0.872857,0.721429,0.878571,0.467143,0.877143,0.905714,0.918571] recall 0.8092857142857143 [0.767143,0.892857,0.732857,0.871429,0.728571,0.885714,0.452857,0.912857,0.928571,0.92] recall 0.7998571428571428 [0.768571,0.908571,0.738571,0.85,0.717143,0.881429,0.47,0.865714,0.888571,0.91] recall 0.8071428571428572 [0.738571,0.895714,0.774286,0.88,0.722857,0.887143,0.468571,0.851429,0.93,0.922857] recall 0.8068571428571428 [0.791429,0.891429,0.73,0.85,0.698571,0.87,0.504286,0.878571,0.914286,0.94] recall 0.8082857142857143 [0.77,0.91,0.745714,0.86,0.698571,0.892857,0.498571,0.875714,0.908571,0.922857] recall 0.8057142857142857 [0.76,0.898571,0.735714,0.874286,0.715714,0.877143,0.487143,0.875714,0.914286,0.918571] recall 0.8062857142857143 [0.754286,0.901429,0.771429,0.908571,0.717143,0.86,0.447143,0.88,0.905714,0.917143] recall 0.814 [0.797143,0.9,0.747143,0.87,0.697143,0.891429,0.522857,0.871429,0.914286,0.928571] relative_absolute_error 0.420792973504404 relative_absolute_error 0.42018690130917746 relative_absolute_error 0.4202463388894093 relative_absolute_error 0.42348890038862097 relative_absolute_error 0.4225960727597978 relative_absolute_error 0.4230951769370583 relative_absolute_error 0.4180529864294251 relative_absolute_error 0.4202752257688102 relative_absolute_error 0.4237943165368685 relative_absolute_error 0.4212201921320067 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 0.17145404067524248 root_mean_squared_error 0.170880033099114 root_mean_squared_error 0.17083705567736546 root_mean_squared_error 0.17242668314600235 root_mean_squared_error 0.17193090878088263 root_mean_squared_error 0.17197668882777226 root_mean_squared_error 0.17034657405209325 root_mean_squared_error 0.1720240280276257 root_mean_squared_error 0.17214745829943154 root_mean_squared_error 0.17051057545824816 root_relative_squared_error 0.5715134689174843 root_relative_squared_error 0.5696001103303894 root_relative_squared_error 0.5694568522578942 root_relative_squared_error 0.574755610486684 root_relative_squared_error 0.5731030292696182 root_relative_squared_error 0.5732556294259169 root_relative_squared_error 0.5678219135069869 root_relative_squared_error 0.5734134267587618 root_relative_squared_error 0.5738248609981147 root_relative_squared_error 0.5683685848608365 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 520498.3422120058 usercpu_time_millis 526249.4364759987 usercpu_time_millis 530805.2838970034 usercpu_time_millis 530441.0280599988 usercpu_time_millis 528631.9653269965 usercpu_time_millis 527396.1316989954 usercpu_time_millis 521358.21388000477 usercpu_time_millis 522549.12340999726 usercpu_time_millis 514390.5668949956 usercpu_time_millis 511611.057944996 usercpu_time_millis_testing 679.2653010052163 usercpu_time_millis_testing 680.3983170029824 usercpu_time_millis_testing 681.4973680011462 usercpu_time_millis_testing 902.5191629989422 usercpu_time_millis_testing 678.9921789968503 usercpu_time_millis_testing 666.6919579947717 usercpu_time_millis_testing 671.9986110038008 usercpu_time_millis_testing 681.7855229965062 usercpu_time_millis_testing 697.1732530000736 usercpu_time_millis_testing 645.5819369948586 usercpu_time_millis_training 519819.0769110006 usercpu_time_millis_training 525569.0381589957 usercpu_time_millis_training 530123.7865290022 usercpu_time_millis_training 529538.5088969998 usercpu_time_millis_training 527952.9731479997 usercpu_time_millis_training 526729.4397410005 usercpu_time_millis_training 520686.21526900097 usercpu_time_millis_training 521867.33788700076 usercpu_time_millis_training 513693.3936419955 usercpu_time_millis_training 510965.47600800113 wall_clock_time_millis 520539.101600647 wall_clock_time_millis 526263.703584671 wall_clock_time_millis 530869.3337440491 wall_clock_time_millis 530527.9982089996 wall_clock_time_millis 528659.9063873291 wall_clock_time_millis 527423.8455295563 wall_clock_time_millis 521428.7838935852 wall_clock_time_millis 522585.1221084595 wall_clock_time_millis 514450.7155418396 wall_clock_time_millis 511628.2856464386 wall_clock_time_millis_testing 679.2817115783691 wall_clock_time_millis_testing 680.4158687591553 wall_clock_time_millis_testing 681.8017959594727 wall_clock_time_millis_testing 902.5554656982422 wall_clock_time_millis_testing 679.0084838867188 wall_clock_time_millis_testing 666.7065620422363 wall_clock_time_millis_testing 672.03688621521 wall_clock_time_millis_testing 681.800127029419 wall_clock_time_millis_testing 697.1969604492188 wall_clock_time_millis_testing 645.653247833252 wall_clock_time_millis_training 519859.8198890686 wall_clock_time_millis_training 525583.2877159119 wall_clock_time_millis_training 530187.5319480896 wall_clock_time_millis_training 529625.4427433014 wall_clock_time_millis_training 527980.8979034424 wall_clock_time_millis_training 526757.138967514 wall_clock_time_millis_training 520756.74700737 wall_clock_time_millis_training 521903.32198143005 wall_clock_time_millis_training 513753.5185813904 wall_clock_time_millis_training 510982.63239860535