10330577 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) 8157210 l2_regularization 1.0 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 128 12677 max_depth 8 12677 max_iter 350 12677 max_leaf_nodes 16 12677 min_samples_leaf 4 12677 n_iter_no_change null 12677 random_state 47652 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 21582853 description https://api.openml.org/data/download/21582853/description.xml -1 21582854 predictions https://api.openml.org/data/download/21582854/predictions.arff area_under_roc_curve 0.9943704907029478 [0.992254,0.999796,0.990039,0.996912,0.991181,0.999746,0.975591,0.999194,0.999579,0.999413] average_cost 0 f_measure 0.9102174056494061 [0.864703,0.987921,0.849734,0.919588,0.856095,0.980223,0.740009,0.960351,0.977778,0.965774] kappa 0.9006666666666666 kb_relative_information_score 0.9127287936391967 mean_absolute_error 0.021788599537926105 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.9102290203198874 [0.845576,0.994499,0.84523,0.915357,0.845596,0.986966,0.770814,0.951993,0.978127,0.968131] predictive_accuracy 0.9106000000000001 prior_entropy 3.321928094891228 recall 0.9106 [0.884714,0.981429,0.854286,0.923857,0.866857,0.973571,0.711571,0.968857,0.977429,0.963429] relative_absolute_error 0.12104777521058412 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.11452627485991816 root_relative_squared_error 0.3817542495328769 total_cost 0 area_under_roc_curve 0.9943030839002266 [0.99294,0.999907,0.988705,0.997348,0.990607,0.999658,0.97642,0.998749,0.999569,0.999127] area_under_roc_curve 0.9942450340136053 [0.992504,0.999927,0.988858,0.996587,0.991296,0.9997,0.974843,0.999354,0.999697,0.999685] area_under_roc_curve 0.9939996825396824 [0.991499,0.99983,0.989449,0.997076,0.990931,0.999887,0.973168,0.999093,0.999746,0.999317] area_under_roc_curve 0.9948043537414967 [0.993289,0.999921,0.991883,0.996981,0.992376,0.999776,0.976048,0.998949,0.999597,0.999224] area_under_roc_curve 0.9944606122448979 [0.991473,0.999953,0.989611,0.998057,0.991685,0.999819,0.975831,0.999157,0.999593,0.999428] area_under_roc_curve 0.9945064172335599 [0.992212,0.999101,0.989953,0.996674,0.990467,0.999694,0.978545,0.999443,0.999496,0.999479] area_under_roc_curve 0.9952046031746031 [0.993741,0.999924,0.991544,0.996665,0.992066,0.999925,0.979544,0.999492,0.999531,0.999613] area_under_roc_curve 0.9942087981859412 [0.992058,0.999783,0.98906,0.997126,0.990423,0.999752,0.976038,0.999368,0.999111,0.999369] area_under_roc_curve 0.9942951020408162 [0.990495,0.99974,0.99197,0.996745,0.992155,0.999653,0.973836,0.999092,0.999843,0.999423] area_under_roc_curve 0.9937913605442177 [0.992569,0.999928,0.989563,0.996088,0.989966,0.999616,0.971838,0.99923,0.999651,0.999465] 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 0.9076279998181142 [0.874567,0.987779,0.831669,0.920567,0.852836,0.978417,0.740307,0.959774,0.972779,0.957584] f_measure 0.9110104841572274 [0.866022,0.989216,0.844257,0.917024,0.861777,0.976912,0.738185,0.964008,0.979885,0.972818] f_measure 0.9081747786164218 [0.861345,0.98636,0.853885,0.919071,0.851332,0.981241,0.718797,0.961404,0.979271,0.969042] f_measure 0.9092029101256864 [0.862579,0.988473,0.865289,0.921652,0.863541,0.981322,0.734754,0.947443,0.972202,0.954774] f_measure 0.9122396937979208 [0.858765,0.987088,0.836749,0.93617,0.873498,0.982808,0.752784,0.955651,0.97803,0.960854] f_measure 0.9072507061835473 [0.86509,0.986282,0.839542,0.908441,0.834624,0.98059,0.747609,0.965517,0.976378,0.968436] f_measure 0.9167229050205784 [0.884344,0.989232,0.850494,0.910275,0.857143,0.984903,0.766396,0.965861,0.982833,0.975749] f_measure 0.9104231750193875 [0.857947,0.988489,0.853257,0.918994,0.856546,0.982079,0.738346,0.964387,0.979211,0.964975] f_measure 0.9148274887638124 [0.857538,0.98705,0.882227,0.922535,0.865439,0.976242,0.747551,0.958304,0.985032,0.966356] f_measure 0.9046300254440882 [0.858913,0.989232,0.840253,0.920863,0.843997,0.977682,0.715026,0.961076,0.972163,0.967096] kappa 0.8976190476190475 kappa 0.9015873015873016 kappa 0.8987301587301587 kappa 0.8993650793650794 kappa 0.903015873015873 kappa 0.8971428571428572 kappa 0.9076190476190475 kappa 0.9011111111111112 kappa 0.9060317460317461 kappa 0.8944444444444445 kb_relative_information_score 0.9094926424823584 kb_relative_information_score 0.9129316505847919 kb_relative_information_score 0.910940893934055 kb_relative_information_score 0.913210547783998 kb_relative_information_score 0.9140328181289469 kb_relative_information_score 0.9099809195268391 kb_relative_information_score 0.9180571554291868 kb_relative_information_score 0.9134974643629374 kb_relative_information_score 0.915212330849207 kb_relative_information_score 0.9099315133212302 mean_absolute_error 0.022316149169188764 mean_absolute_error 0.02165203807564772 mean_absolute_error 0.022102158332293308 mean_absolute_error 0.021909955457511766 mean_absolute_error 0.021667907805838688 mean_absolute_error 0.022243577016472383 mean_absolute_error 0.020887579327624785 mean_absolute_error 0.021434321714231885 mean_absolute_error 0.02148253485131326 mean_absolute_error 0.022189773629137297 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 0.9077102033839674 [0.84926,0.994211,0.830484,0.914085,0.857143,0.985507,0.758621,0.948396,0.975575,0.963821] precision 0.9112781343152622 [0.838235,0.995658,0.833102,0.918338,0.850975,0.98688,0.777251,0.95258,0.985549,0.974212] precision 0.9081520216750847 [0.84478,0.991342,0.852063,0.905687,0.836088,0.991254,0.75873,0.944828,0.979971,0.976778] precision 0.9092354834352854 [0.851182,0.997093,0.863442,0.919034,0.846365,0.986994,0.75643,0.94209,0.970128,0.959596] precision 0.9120734028631697 [0.853315,0.991354,0.827972,0.929577,0.864336,0.985632,0.783617,0.95702,0.970464,0.957447] precision 0.9074461987315635 [0.842818,0.99708,0.841954,0.909742,0.822469,0.986975,0.770865,0.951456,0.978479,0.972622] precision 0.9169491376013573 [0.873259,0.994228,0.839833,0.922287,0.836735,0.991317,0.791476,0.961756,0.984241,0.974359] precision 0.9105149073330762 [0.844875,0.995652,0.855093,0.898907,0.835598,0.985612,0.779365,0.961648,0.982734,0.965665] precision 0.9149489717000503 [0.831099,0.994203,0.881598,0.909722,0.858146,0.984035,0.791069,0.948252,0.98293,0.968436] precision 0.9047646182483386 [0.828685,0.994228,0.828017,0.927536,0.849493,0.985486,0.741935,0.952314,0.971469,0.968481] predictive_accuracy 0.9078571428571429 predictive_accuracy 0.9114285714285714 predictive_accuracy 0.9088571428571428 predictive_accuracy 0.9094285714285714 predictive_accuracy 0.9127142857142857 predictive_accuracy 0.9074285714285715 predictive_accuracy 0.9168571428571428 predictive_accuracy 0.9109999999999999 predictive_accuracy 0.9154285714285715 predictive_accuracy 0.905 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 0.9078571428571428 [0.901429,0.981429,0.832857,0.927143,0.848571,0.971429,0.722857,0.971429,0.97,0.951429] recall 0.9114285714285715 [0.895714,0.982857,0.855714,0.915714,0.872857,0.967143,0.702857,0.975714,0.974286,0.971429] recall 0.9088571428571428 [0.878571,0.981429,0.855714,0.932857,0.867143,0.971429,0.682857,0.978571,0.978571,0.961429] recall 0.9094285714285715 [0.874286,0.98,0.867143,0.924286,0.881429,0.975714,0.714286,0.952857,0.974286,0.95] recall 0.9127142857142857 [0.864286,0.982857,0.845714,0.942857,0.882857,0.98,0.724286,0.954286,0.985714,0.964286] recall 0.9074285714285715 [0.888571,0.975714,0.837143,0.907143,0.847143,0.974286,0.725714,0.98,0.974286,0.964286] recall 0.9168571428571428 [0.895714,0.984286,0.861429,0.898571,0.878571,0.978571,0.742857,0.97,0.981429,0.977143] recall 0.911 [0.871429,0.981429,0.851429,0.94,0.878571,0.978571,0.701429,0.967143,0.975714,0.964286] recall 0.9154285714285715 [0.885714,0.98,0.882857,0.935714,0.872857,0.968571,0.708571,0.968571,0.987143,0.964286] recall 0.905 [0.891429,0.984286,0.852857,0.914286,0.838571,0.97,0.69,0.97,0.972857,0.965714] relative_absolute_error 0.12397860649549725 relative_absolute_error 0.1202891004202691 relative_absolute_error 0.12278976851274466 relative_absolute_error 0.1217219747639583 relative_absolute_error 0.1203772655879967 relative_absolute_error 0.12357542786929512 relative_absolute_error 0.1160421073756971 relative_absolute_error 0.11907956507906997 relative_absolute_error 0.11934741584063319 relative_absolute_error 0.12327652016187798 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 0.11683548576042006 root_mean_squared_error 0.11481396262549168 root_mean_squared_error 0.11576625185299966 root_mean_squared_error 0.11364232408973572 root_mean_squared_error 0.11346131789437602 root_mean_squared_error 0.11640099238608984 root_mean_squared_error 0.10999308794526232 root_mean_squared_error 0.11416864039587114 root_mean_squared_error 0.11287432650857654 root_mean_squared_error 0.11712072223357306 root_relative_squared_error 0.38945161920140664 root_relative_squared_error 0.3827132087516453 root_relative_squared_error 0.3858875061766719 root_relative_squared_error 0.378807746965792 root_relative_squared_error 0.3782043929812597 root_relative_squared_error 0.3880033079536392 root_relative_squared_error 0.36664362648421384 root_relative_squared_error 0.3805621346529101 root_relative_squared_error 0.37624775502859464 root_relative_squared_error 0.39040240744525 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 1485724.1525969878 usercpu_time_millis 1519847.7640119817 usercpu_time_millis 1500583.3857550025 usercpu_time_millis 1482866.5854669963 usercpu_time_millis 1489088.7457810168 usercpu_time_millis 1508909.5334920275 usercpu_time_millis 1488692.0131249935 usercpu_time_millis 1518136.99863301 usercpu_time_millis 1491009.847615991 usercpu_time_millis 1493115.3755830019 usercpu_time_millis_testing 2344.7686679865 usercpu_time_millis_testing 2276.2736869917717 usercpu_time_millis_testing 2283.8083779934095 usercpu_time_millis_testing 2261.063418001868 usercpu_time_millis_testing 2350.49619799247 usercpu_time_millis_testing 2275.681593018817 usercpu_time_millis_testing 2599.0023009944707 usercpu_time_millis_testing 2292.962770006852 usercpu_time_millis_testing 2290.710303001106 usercpu_time_millis_testing 2298.488972999621 usercpu_time_millis_training 1483379.3839290012 usercpu_time_millis_training 1517571.49032499 usercpu_time_millis_training 1498299.577377009 usercpu_time_millis_training 1480605.5220489944 usercpu_time_millis_training 1486738.2495830243 usercpu_time_millis_training 1506633.8518990087 usercpu_time_millis_training 1486093.010823999 usercpu_time_millis_training 1515844.0358630032 usercpu_time_millis_training 1488719.13731299 usercpu_time_millis_training 1490816.8866100023 wall_clock_time_millis 1485753.8340091705 wall_clock_time_millis 1519980.8988571167 wall_clock_time_millis 1500614.7401332855 wall_clock_time_millis 1483002.445936203 wall_clock_time_millis 1489338.1588459015 wall_clock_time_millis 1508945.7213878632 wall_clock_time_millis 1488720.790863037 wall_clock_time_millis 1518171.4689731598 wall_clock_time_millis 1491112.5104427338 wall_clock_time_millis 1493146.9752788544 wall_clock_time_millis_testing 2344.9413776397705 wall_clock_time_millis_testing 2276.3805389404297 wall_clock_time_millis_testing 2283.850908279419 wall_clock_time_millis_testing 2261.138677597046 wall_clock_time_millis_testing 2350.533962249756 wall_clock_time_millis_testing 2275.743007659912 wall_clock_time_millis_testing 2599.057674407959 wall_clock_time_millis_testing 2293.0002212524414 wall_clock_time_millis_testing 2290.801763534546 wall_clock_time_millis_testing 2298.5801696777344 wall_clock_time_millis_training 1483408.8926315308 wall_clock_time_millis_training 1517704.5183181763 wall_clock_time_millis_training 1498330.889225006 wall_clock_time_millis_training 1480741.307258606 wall_clock_time_millis_training 1486987.6248836517 wall_clock_time_millis_training 1506669.9783802032 wall_clock_time_millis_training 1486121.7331886292 wall_clock_time_millis_training 1515878.4687519073 wall_clock_time_millis_training 1488821.7086791992 wall_clock_time_millis_training 1490848.3951091766