10330511 8323 Heinrich Peters 3573 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8156877 l2_regularization 0.0001 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 4 12677 max_depth 4 12677 max_iter 300 12677 max_leaf_nodes 32 12677 min_samples_leaf 37 12677 n_iter_no_change null 12677 random_state 32036 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. 554 mnist_784 https://www.openml.org/data/download/52667/mnist_784.arff -1 21582721 description https://api.openml.org/data/download/21582721/description.xml -1 21582722 predictions https://api.openml.org/data/download/21582722/predictions.arff area_under_roc_curve 0.9996243532491497 [0.999911,0.999858,0.999634,0.999477,0.999515,0.999649,0.999838,0.99957,0.999511,0.999259] average_cost 0 f_measure 0.9794575914115379 [0.988056,0.990099,0.977806,0.975503,0.978172,0.977605,0.985103,0.978315,0.972464,0.970019] kappa 0.9771671781998292 kb_relative_information_score 0.9772782875181213 mean_absolute_error 0.006081549413651038 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9794688500493828 [0.987413,0.989973,0.975509,0.98075,0.977885,0.980252,0.984459,0.979255,0.96956,0.968213] predictive_accuracy 0.9794571428571429 prior_entropy 3.319837025446073 recall 0.9794571428571428 [0.988701,0.990225,0.980114,0.970312,0.978458,0.974972,0.985748,0.977376,0.975385,0.971831] relative_absolute_error 0.03379738221911823 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.055934138610053134 root_relative_squared_error 0.18647747240622534 total_cost 0 area_under_roc_curve 0.9997039415605093 [0.99998,0.999889,0.999499,0.999469,0.999818,0.99977,0.99989,0.999529,0.999648,0.999551] area_under_roc_curve 0.9996133376484428 [0.999886,0.999913,0.999737,0.999409,0.998858,0.999575,0.999741,0.99977,0.999536,0.99965] area_under_roc_curve 0.9995985367494601 [0.999895,0.999882,0.999706,0.999711,0.999741,0.999755,0.999682,0.999563,0.998989,0.999033] area_under_roc_curve 0.9994312673880363 [0.999913,0.999635,0.9993,0.999515,0.999106,0.999348,0.999799,0.99963,0.999517,0.998507] area_under_roc_curve 0.9996570447974337 [0.999902,0.999657,0.999709,0.999345,0.999783,0.999797,0.999932,0.999694,0.999306,0.999467] area_under_roc_curve 0.9996124614993627 [0.999923,0.999911,0.999511,0.999605,0.998991,0.999688,0.99982,0.999685,0.999502,0.999444] area_under_roc_curve 0.9995774880922559 [0.999957,0.999941,0.999614,0.9989,0.999596,0.999751,0.999897,0.9989,0.999627,0.999618] area_under_roc_curve 0.9996545347643917 [0.99986,0.999967,0.999812,0.999483,0.999764,0.999461,0.999935,0.999566,0.99969,0.998963] area_under_roc_curve 0.9997396733071953 [0.999917,0.99996,0.999812,0.999662,0.999784,0.999692,0.999876,0.99975,0.999785,0.999132] area_under_roc_curve 0.999697902799341 [0.999885,0.999886,0.999675,0.999744,0.999722,0.999651,0.999849,0.999683,0.999582,0.999275] 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 0.9802823230309533 [0.994939,0.987261,0.97568,0.97195,0.981712,0.980174,0.984749,0.980874,0.968498,0.976242] f_measure 0.9801458803105465 [0.986282,0.988593,0.977778,0.976711,0.980882,0.980922,0.984683,0.98152,0.967883,0.975089] f_measure 0.9791294226881158 [0.982634,0.989873,0.981481,0.979109,0.979412,0.979299,0.984035,0.977351,0.972059,0.964672] f_measure 0.9785662625708534 [0.988456,0.989848,0.972857,0.973852,0.973607,0.974563,0.986182,0.977382,0.973761,0.973477] f_measure 0.9798733238714682 [0.991292,0.989179,0.979389,0.974576,0.978755,0.98324,0.9869,0.973973,0.975291,0.965714] f_measure 0.9778645637821762 [0.987672,0.98789,0.975053,0.973962,0.969298,0.97852,0.983345,0.980151,0.972854,0.968526] f_measure 0.978854060287927 [0.990573,0.992386,0.974432,0.97155,0.975219,0.977039,0.984749,0.974394,0.973723,0.972934] f_measure 0.9801420086379172 [0.987726,0.990464,0.977273,0.970381,0.990462,0.972376,0.987672,0.982723,0.973723,0.966906] f_measure 0.9817119769070416 [0.985486,0.991788,0.983536,0.982357,0.978786,0.976966,0.984749,0.976744,0.976778,0.978292] f_measure 0.9779959999269069 [0.985507,0.993671,0.980617,0.980474,0.973646,0.973016,0.983965,0.978022,0.970007,0.958333] kappa 0.9780882591312416 kappa 0.9779291174439295 kappa 0.9768172965469952 kappa 0.9761827126189093 kappa 0.9776117869337126 kappa 0.9753889906131342 kappa 0.9765008004244736 kappa 0.9779299054249948 kappa 0.9796756326237218 kappa 0.9755472821087606 kb_relative_information_score 0.9773598303664722 kb_relative_information_score 0.9778273422827022 kb_relative_information_score 0.9765154879013817 kb_relative_information_score 0.9763958771248261 kb_relative_information_score 0.9777626987174579 kb_relative_information_score 0.9767885670315777 kb_relative_information_score 0.9765410255438883 kb_relative_information_score 0.9779616394625725 kb_relative_information_score 0.9793924818683196 kb_relative_information_score 0.9762379221958778 mean_absolute_error 0.006009969840622888 mean_absolute_error 0.006019461134590906 mean_absolute_error 0.006192310272470929 mean_absolute_error 0.006207727542779358 mean_absolute_error 0.006042285437492146 mean_absolute_error 0.006121900369126091 mean_absolute_error 0.006248136758488445 mean_absolute_error 0.005989685032780879 mean_absolute_error 0.005690818143434268 mean_absolute_error 0.006293199604724075 mean_prior_absolute_error 0.17994152998551463 mean_prior_absolute_error 0.17994170016528485 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799414581590409 mean_prior_absolute_error 0.17994139612708626 mean_prior_absolute_error 0.17994173893525653 number_of_instances 7000 [691,787,699,714,682,631,687,730,683,696] number_of_instances 7000 [691,787,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,715,683,632,687,729,682,695] number_of_instances 7000 [690,788,699,714,683,632,687,730,682,695] number_of_instances 7000 [691,787,699,714,682,632,687,730,682,696] precision 0.9802853496964214 [0.99422,0.989783,0.97568,0.973315,0.979562,0.980952,0.982609,0.978202,0.969208,0.978355] precision 0.9801892462804781 [0.98415,0.986094,0.979885,0.984353,0.983776,0.984051,0.988287,0.979508,0.965066,0.96615] precision 0.9791399700445245 [0.981214,0.987374,0.977305,0.973684,0.982301,0.984,0.982609,0.978022,0.976366,0.968162] precision 0.9785884190539094 [0.984195,0.989848,0.971469,0.982882,0.973607,0.977671,0.9869,0.976712,0.969521,0.971388] precision 0.9799408187791075 [0.992733,0.992337,0.973164,0.982906,0.978038,0.990354,0.988338,0.97264,0.968254,0.960227] precision 0.9778940491261018 [0.988389,0.992318,0.971591,0.978784,0.967883,0.982428,0.979798,0.978142,0.973568,0.964387] precision 0.9789474887397805 [0.991292,0.992386,0.96756,0.986994,0.970972,0.976266,0.984035,0.98324,0.969477,0.964689] precision 0.9801884907106339 [0.984173,0.992357,0.970381,0.978663,0.992647,0.970079,0.984104,0.990251,0.969477,0.966906] precision 0.981756962633329 [0.986919,0.987421,0.984241,0.990043,0.97807,0.980861,0.982609,0.97541,0.966954,0.983988] precision 0.9780066933163793 [0.986938,0.989912,0.98415,0.976389,0.972222,0.976115,0.985401,0.980716,0.967883,0.958333] predictive_accuracy 0.9802857142857142 predictive_accuracy 0.9801428571428572 predictive_accuracy 0.9791428571428571 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9798571428571428 predictive_accuracy 0.9778571428571429 predictive_accuracy 0.9788571428571429 predictive_accuracy 0.9801428571428572 predictive_accuracy 0.9817142857142858 predictive_accuracy 0.978 prior_entropy 3.319842722993559 prior_entropy 3.3198548559727135 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.319827686603566 prior_entropy 3.319827686603566 prior_entropy 3.3198399404547705 prior_entropy 3.319835600159663 prior_entropy 3.3198587924440996 recall 0.9802857142857143 [0.995658,0.984752,0.97568,0.970588,0.983871,0.979398,0.9869,0.983562,0.967789,0.974138] recall 0.9801428571428571 [0.988423,0.991105,0.97568,0.969188,0.978006,0.977813,0.981105,0.983539,0.970717,0.984195] recall 0.9791428571428571 [0.984058,0.992386,0.985694,0.984594,0.97654,0.974643,0.985465,0.97668,0.967789,0.961207] recall 0.9785714285714285 [0.992754,0.989848,0.974249,0.964986,0.973607,0.971474,0.985465,0.978052,0.978038,0.975575] recall 0.9798571428571429 [0.989855,0.986041,0.985694,0.966387,0.979472,0.976228,0.985465,0.975309,0.98243,0.971264] recall 0.9778571428571429 [0.986957,0.983503,0.978541,0.969188,0.970717,0.974643,0.986919,0.982167,0.972141,0.972701] recall 0.9788571428571429 [0.989855,0.992386,0.981402,0.956583,0.979502,0.977813,0.985465,0.965706,0.978006,0.981322] recall 0.9801428571428571 [0.991304,0.988579,0.984263,0.962238,0.988287,0.974684,0.991266,0.975309,0.978006,0.966906] recall 0.9817142857142858 [0.984058,0.996193,0.982833,0.97479,0.979502,0.973101,0.9869,0.978082,0.986804,0.972662] recall 0.978 [0.984081,0.997459,0.97711,0.984594,0.975073,0.969937,0.982533,0.975342,0.972141,0.958333] relative_absolute_error 0.033399570633342354 relative_absolute_error 0.03345228554060427 relative_absolute_error 0.034412945669239095 relative_absolute_error 0.03449862511069903 relative_absolute_error 0.0335792024832567 relative_absolute_error 0.03402165186295851 relative_absolute_error 0.034723193905848035 relative_absolute_error 0.03328685392494101 relative_absolute_error 0.03162595303759366 relative_absolute_error 0.034973540002235855 root_mean_prior_squared_error 0.2999513442637286 root_mean_prior_squared_error 0.29995162794255353 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995122453349654 root_mean_prior_squared_error 0.2999511211300758 root_mean_prior_squared_error 0.2999516925695864 root_mean_squared_error 0.05570371405601916 root_mean_squared_error 0.054796282671838406 root_mean_squared_error 0.05694154195812851 root_mean_squared_error 0.057698378446206275 root_mean_squared_error 0.05499342159976328 root_mean_squared_error 0.05706654145159161 root_mean_squared_error 0.05709676523672093 root_mean_squared_error 0.05493599768546049 root_mean_squared_error 0.05277430298086204 root_mean_squared_error 0.05714282212581645 root_relative_squared_error 0.18570916624078318 root_relative_squared_error 0.18268373153264877 root_relative_squared_error 0.18983616836409414 root_relative_squared_error 0.19235936907194415 root_relative_squared_error 0.18334137226924851 root_relative_squared_error 0.19025290102535788 root_relative_squared_error 0.19035366344506227 root_relative_squared_error 0.18314976966972044 root_relative_squared_error 0.17594300958780582 root_relative_squared_error 0.19050675005796067 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 923373.2803750027 usercpu_time_millis 926990.4599300062 usercpu_time_millis 925716.0087950033 usercpu_time_millis 926333.809682008 usercpu_time_millis 922989.4635230012 usercpu_time_millis 928601.8629689934 usercpu_time_millis 925008.660446998 usercpu_time_millis 929047.4453339993 usercpu_time_millis 928209.1061179963 usercpu_time_millis 927503.5582410055 usercpu_time_millis_testing 1647.3066280013882 usercpu_time_millis_testing 1628.5081550013274 usercpu_time_millis_testing 1618.986738001695 usercpu_time_millis_testing 1621.7872190027265 usercpu_time_millis_testing 1624.320285001886 usercpu_time_millis_testing 1698.2947560027242 usercpu_time_millis_testing 1611.537409000448 usercpu_time_millis_testing 1628.8956979988143 usercpu_time_millis_testing 1682.504465992679 usercpu_time_millis_testing 1605.972406003275 usercpu_time_millis_training 921725.9737470013 usercpu_time_millis_training 925361.9517750049 usercpu_time_millis_training 924097.0220570016 usercpu_time_millis_training 924712.0224630053 usercpu_time_millis_training 921365.1432379993 usercpu_time_millis_training 926903.5682129906 usercpu_time_millis_training 923397.1230379975 usercpu_time_millis_training 927418.5496360005 usercpu_time_millis_training 926526.6016520036 usercpu_time_millis_training 925897.5858350022 wall_clock_time_millis 923391.2262916565 wall_clock_time_millis 927084.6235752106 wall_clock_time_millis 925873.6479282379 wall_clock_time_millis 926351.113319397 wall_clock_time_millis 923003.2947063446 wall_clock_time_millis 928697.4296569824 wall_clock_time_millis 925023.4124660492 wall_clock_time_millis 929116.9691085815 wall_clock_time_millis 928320.1942443848 wall_clock_time_millis 927522.0532417297 wall_clock_time_millis_testing 1647.3362445831299 wall_clock_time_millis_testing 1628.5431385040283 wall_clock_time_millis_testing 1619.32373046875 wall_clock_time_millis_testing 1621.8197345733643 wall_clock_time_millis_testing 1624.3460178375244 wall_clock_time_millis_testing 1698.3222961425781 wall_clock_time_millis_testing 1611.5655899047852 wall_clock_time_millis_testing 1628.9324760437012 wall_clock_time_millis_testing 1682.9144954681396 wall_clock_time_millis_testing 1605.9989929199219 wall_clock_time_millis_training 921743.8900470734 wall_clock_time_millis_training 925456.0804367065 wall_clock_time_millis_training 924254.3241977692 wall_clock_time_millis_training 924729.2935848236 wall_clock_time_millis_training 921378.9486885071 wall_clock_time_millis_training 926999.1073608398 wall_clock_time_millis_training 923411.8468761444 wall_clock_time_millis_training 927488.0366325378 wall_clock_time_millis_training 926637.2797489166 wall_clock_time_millis_training 925916.0542488098