10327478 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) 8156558 l2_regularization 0.1 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 16 12677 max_depth 4 12677 max_iter 500 12677 max_leaf_nodes 16 12677 min_samples_leaf 10 12677 n_iter_no_change null 12677 random_state 51394 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 21576642 description https://api.openml.org/data/download/21576642/description.xml -1 21576643 predictions https://api.openml.org/data/download/21576643/predictions.arff area_under_roc_curve 0.9996705122378376 [0.99992,0.999874,0.999631,0.999479,0.999589,0.999669,0.999866,0.999596,0.999687,0.999379] average_cost 0 f_measure 0.9811705733865437 [0.988849,0.989404,0.979161,0.979023,0.980372,0.977294,0.985979,0.981008,0.97633,0.972923] kappa 0.9790725292562922 kb_relative_information_score 0.9809602896973229 mean_absolute_error 0.004632836609474039 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9811792423367858 [0.988562,0.988965,0.97693,0.984289,0.979941,0.979628,0.985049,0.981075,0.973627,0.972434] predictive_accuracy 0.9811714285714285 prior_entropy 3.319837025446073 recall 0.9811714285714286 [0.989135,0.989844,0.981402,0.973813,0.980803,0.974972,0.986911,0.980941,0.979048,0.973412] relative_absolute_error 0.025746358205633153 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.0540471153175944 root_relative_squared_error 0.18018637107359242 total_cost 0 area_under_roc_curve 0.99971932934366 [0.999977,0.999827,0.999363,0.999521,0.999837,0.999771,0.999909,0.99969,0.999714,0.999592] area_under_roc_curve 0.999628797321342 [0.999915,0.999931,0.999783,0.999129,0.998953,0.999409,0.999806,0.999842,0.99973,0.999724] area_under_roc_curve 0.999726989361205 [0.999911,0.999911,0.999783,0.999742,0.999797,0.999772,0.999743,0.999619,0.999559,0.999417] area_under_roc_curve 0.9994955663959585 [0.999943,0.99974,0.99923,0.999564,0.999227,0.999427,0.999812,0.9997,0.999606,0.99866] area_under_roc_curve 0.9997287429004638 [0.999936,0.999664,0.999797,0.999529,0.999807,0.999849,0.999891,0.999712,0.999565,0.999567] area_under_roc_curve 0.9997000107715254 [0.99991,0.999908,0.999616,0.999587,0.999293,0.999856,0.999866,0.999764,0.999665,0.999518] area_under_roc_curve 0.9995907805857756 [0.999962,0.999955,0.999596,0.998961,0.999602,0.999768,0.999892,0.998833,0.999722,0.999649] area_under_roc_curve 0.9996790641300007 [0.999871,0.999982,0.999829,0.999526,0.999818,0.999549,0.999942,0.999431,0.999777,0.999039] area_under_roc_curve 0.9997409009420413 [0.999943,0.999971,0.999813,0.999572,0.99978,0.99953,0.99993,0.999754,0.999855,0.999221] area_under_roc_curve 0.999721388683725 [0.999828,0.999891,0.999505,0.999727,0.999782,0.999744,0.999911,0.99969,0.999691,0.999432] 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 0.9809984048516041 [0.992764,0.98789,0.975053,0.97619,0.984615,0.973621,0.986919,0.981595,0.972222,0.977714] f_measure 0.9831431957264779 [0.98917,0.987967,0.98059,0.983769,0.986019,0.979398,0.982507,0.984973,0.974471,0.981429] f_measure 0.9805589817837195 [0.982583,0.984887,0.978571,0.983927,0.980938,0.983294,0.985465,0.980822,0.975824,0.968863] f_measure 0.9820018198448227 [0.98917,0.990452,0.978571,0.979563,0.979442,0.976228,0.988372,0.982865,0.976608,0.97711] f_measure 0.9804351127516334 [0.990587,0.989206,0.977967,0.97454,0.977356,0.980922,0.988321,0.977351,0.979562,0.967834] f_measure 0.9802901152472816 [0.988406,0.987906,0.973703,0.978154,0.976574,0.980174,0.985528,0.982143,0.975824,0.973439] f_measure 0.9787108395745602 [0.990559,0.98731,0.98081,0.97374,0.974471,0.972973,0.981923,0.975812,0.975895,0.972202] f_measure 0.9815597325611052 [0.989154,0.993016,0.981375,0.973852,0.986121,0.973101,0.986242,0.982167,0.976676,0.971882] f_measure 0.9847111775045709 [0.989138,0.993016,0.984353,0.985896,0.983175,0.980174,0.987636,0.982192,0.983273,0.976845] f_measure 0.9792753908377672 [0.986938,0.992415,0.980645,0.980501,0.975037,0.973059,0.9869,0.980096,0.972894,0.961843] kappa 0.9788818202845628 kappa 0.9812636051518462 kappa 0.978404865401972 kappa 0.9799937372685485 kappa 0.9782469411774153 kappa 0.9780884022729812 kappa 0.9763417896880372 kappa 0.9795174325249107 kappa 0.9830104247942731 kappa 0.976976229465377 kb_relative_information_score 0.98087277676598 kb_relative_information_score 0.9825285307760115 kb_relative_information_score 0.9807134891629786 kb_relative_information_score 0.9805742926384393 kb_relative_information_score 0.9807819628434182 kb_relative_information_score 0.9798792584324488 kb_relative_information_score 0.979515719240389 kb_relative_information_score 0.9816180315169872 kb_relative_information_score 0.9832103236663278 kb_relative_information_score 0.9799085015498951 mean_absolute_error 0.004562680595626276 mean_absolute_error 0.00433411020317449 mean_absolute_error 0.0046671076059813296 mean_absolute_error 0.004707230934704837 mean_absolute_error 0.004631034437178303 mean_absolute_error 0.004860172437925072 mean_absolute_error 0.004913837813224339 mean_absolute_error 0.004502906804977134 mean_absolute_error 0.0041779619068799964 mean_absolute_error 0.004971323355068775 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 0.9810207909930703 [0.992764,0.991049,0.971591,0.97619,0.983895,0.982258,0.985486,0.976934,0.970803,0.978417] precision 0.9831803230307707 [0.987032,0.984848,0.985549,0.991465,0.98966,0.979398,0.98538,0.980952,0.97093,0.975852] precision 0.9805764018321406 [0.984012,0.9775,0.977175,0.981869,0.980938,0.98722,0.985465,0.97948,0.97654,0.976642] precision 0.9820213720840105 [0.985612,0.993614,0.977175,0.985816,0.980882,0.976228,0.988372,0.982192,0.975182,0.972934] precision 0.9804839276717061 [0.98987,0.989835,0.971751,0.984286,0.973799,0.984051,0.992669,0.978022,0.97671,0.963016] precision 0.9803171041834285 [0.988406,0.99106,0.967514,0.984397,0.976574,0.980952,0.981268,0.983494,0.97511,0.97274] precision 0.9787878783304833 [0.992722,0.98731,0.974576,0.98705,0.97093,0.976077,0.976978,0.983287,0.972344,0.964639] precision 0.9815850769255786 [0.987013,0.993647,0.982783,0.984286,0.983965,0.973101,0.981268,0.982167,0.971014,0.973988] precision 0.9847445995742967 [0.988423,0.993647,0.978784,0.992898,0.982456,0.982512,0.986919,0.982192,0.975469,0.982533] precision 0.9792822413729574 [0.989811,0.987421,0.982759,0.975069,0.976471,0.974603,0.9869,0.982118,0.972182,0.963925] predictive_accuracy 0.981 predictive_accuracy 0.9831428571428572 predictive_accuracy 0.9805714285714286 predictive_accuracy 0.982 predictive_accuracy 0.9804285714285714 predictive_accuracy 0.9802857142857142 predictive_accuracy 0.9787142857142856 predictive_accuracy 0.9815714285714285 predictive_accuracy 0.9847142857142858 predictive_accuracy 0.9792857142857143 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 0.981 [0.992764,0.984752,0.978541,0.97619,0.985337,0.965135,0.988355,0.986301,0.973646,0.977011] recall 0.9831428571428571 [0.991317,0.991105,0.97568,0.97619,0.982405,0.979398,0.979651,0.989026,0.978038,0.987069] recall 0.9805714285714285 [0.981159,0.992386,0.979971,0.985994,0.980938,0.979398,0.985465,0.982167,0.97511,0.961207] recall 0.982 [0.992754,0.98731,0.979971,0.973389,0.978006,0.976228,0.988372,0.983539,0.978038,0.981322] recall 0.9804285714285714 [0.991304,0.988579,0.984263,0.964986,0.980938,0.977813,0.984012,0.97668,0.98243,0.972701] recall 0.9802857142857143 [0.988406,0.984772,0.979971,0.971989,0.976574,0.979398,0.989826,0.980796,0.97654,0.974138] recall 0.9787142857142858 [0.988406,0.98731,0.987124,0.960784,0.978038,0.969889,0.986919,0.96845,0.979472,0.979885] recall 0.9815714285714285 [0.991304,0.992386,0.979971,0.963636,0.988287,0.973101,0.991266,0.982167,0.982405,0.969784] recall 0.9847142857142858 [0.989855,0.992386,0.989986,0.978992,0.983895,0.977848,0.988355,0.982192,0.991202,0.971223] recall 0.9792857142857143 [0.984081,0.997459,0.978541,0.985994,0.973607,0.971519,0.9869,0.978082,0.973607,0.95977] relative_absolute_error 0.02535646215742177 relative_absolute_error 0.024086191245238916 relative_absolute_error 0.02593683349349353 relative_absolute_error 0.026159813588268417 relative_absolute_error 0.025736361627015092 relative_absolute_error 0.027009765711139333 relative_absolute_error 0.02730800393872214 relative_absolute_error 0.02502428762690835 relative_absolute_error 0.023218458880519353 relative_absolute_error 0.0276274053173259 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 0.05413014128891221 root_mean_squared_error 0.05125883195686658 root_mean_squared_error 0.05417327823395276 root_mean_squared_error 0.05508912288716322 root_mean_squared_error 0.05413613685020039 root_mean_squared_error 0.05596301098567599 root_mean_squared_error 0.05668570603843794 root_mean_squared_error 0.053111765730029875 root_mean_squared_error 0.050117255967913055 root_mean_squared_error 0.0554559552389725 root_relative_squared_error 0.1804630728419705 root_relative_squared_error 0.17089032757869752 root_relative_squared_error 0.1806071141385293 root_relative_squared_error 0.18366042870999041 root_relative_squared_error 0.18048328928699167 root_relative_squared_error 0.18657386481307214 root_relative_squared_error 0.18898324212676954 root_relative_squared_error 0.1770680076823581 root_relative_squared_error 0.16708474293776476 root_relative_squared_error 0.18488295486483097 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 1737491.1701849995 usercpu_time_millis 1731457.7334880014 usercpu_time_millis 1712667.4177450002 usercpu_time_millis 1706540.685153006 usercpu_time_millis 1704891.047822006 usercpu_time_millis 1709958.3562619954 usercpu_time_millis 1712935.6465810053 usercpu_time_millis 1699289.9392369946 usercpu_time_millis 1674931.2570819966 usercpu_time_millis 1641924.914903997 usercpu_time_millis_testing 3248.664546998043 usercpu_time_millis_testing 3272.029884003132 usercpu_time_millis_testing 2884.1201960021863 usercpu_time_millis_testing 3269.795164000243 usercpu_time_millis_testing 2919.3236420032918 usercpu_time_millis_testing 2974.5893889994477 usercpu_time_millis_testing 3054.890832005185 usercpu_time_millis_testing 3115.8893760002684 usercpu_time_millis_testing 2878.4583849992487 usercpu_time_millis_testing 2826.413060996856 usercpu_time_millis_training 1734242.5056380015 usercpu_time_millis_training 1728185.7036039983 usercpu_time_millis_training 1709783.2975489981 usercpu_time_millis_training 1703270.8899890059 usercpu_time_millis_training 1701971.7241800027 usercpu_time_millis_training 1706983.766872996 usercpu_time_millis_training 1709880.755749 usercpu_time_millis_training 1696174.0498609943 usercpu_time_millis_training 1672052.7986969973 usercpu_time_millis_training 1639098.501843 wall_clock_time_millis 1737743.108510971 wall_clock_time_millis 1731634.9923610687 wall_clock_time_millis 1712858.836889267 wall_clock_time_millis 1706836.0421657562 wall_clock_time_millis 1705107.7575683594 wall_clock_time_millis 1710369.3330287933 wall_clock_time_millis 1717670.4795360565 wall_clock_time_millis 1699474.1809368134 wall_clock_time_millis 1675152.6741981506 wall_clock_time_millis 1642210.6614112854 wall_clock_time_millis_testing 3248.7475872039795 wall_clock_time_millis_testing 3272.127389907837 wall_clock_time_millis_testing 2884.1841220855713 wall_clock_time_millis_testing 3275.752067565918 wall_clock_time_millis_testing 2919.4095134735107 wall_clock_time_millis_testing 2974.6451377868652 wall_clock_time_millis_testing 3054.950952529907 wall_clock_time_millis_testing 3115.962505340576 wall_clock_time_millis_testing 2878.9849281311035 wall_clock_time_millis_testing 2826.479911804199 wall_clock_time_millis_training 1734494.360923767 wall_clock_time_millis_training 1728362.864971161 wall_clock_time_millis_training 1709974.6527671814 wall_clock_time_millis_training 1703560.2900981903 wall_clock_time_millis_training 1702188.3480548859 wall_clock_time_millis_training 1707394.6878910065 wall_clock_time_millis_training 1714615.5285835266 wall_clock_time_millis_training 1696358.2184314728 wall_clock_time_millis_training 1672273.6892700195 wall_clock_time_millis_training 1639384.1814994812