10330524 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) 8156907 l2_regularization 1.0 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 64 12677 max_depth 14 12677 max_iter 100 12677 max_leaf_nodes 16 12677 min_samples_leaf 39 12677 n_iter_no_change null 12677 random_state 12964 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 21582747 description https://api.openml.org/data/download/21582747/description.xml -1 21582748 predictions https://api.openml.org/data/download/21582748/predictions.arff area_under_roc_curve 0.9971443629260013 [0.998436,0.998977,0.997241,0.996374,0.9979,0.995144,0.996018,0.997968,0.995994,0.996934] average_cost 0 f_measure 0.955127894760262 [0.971723,0.980158,0.948499,0.946555,0.958169,0.940471,0.960128,0.958079,0.938943,0.943941] kappa 0.9501269755475469 kb_relative_information_score 0.9551993664545877 mean_absolute_error 0.009265429243928319 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9551342500116031 [0.97271,0.978855,0.949792,0.949422,0.95635,0.936264,0.960687,0.958803,0.939425,0.944077] predictive_accuracy 0.9551285714285714 prior_entropy 3.319837025446073 recall 0.9551285714285714 [0.970737,0.981465,0.94721,0.943705,0.959994,0.944717,0.95957,0.957356,0.938462,0.943806] relative_absolute_error 0.05149136055333704 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.08867643793684997 root_relative_squared_error 0.29563623252936305 total_cost 0 area_under_roc_curve 0.9978040356613959 [0.999657,0.999288,0.996852,0.997065,0.999475,0.997457,0.996453,0.998495,0.994394,0.998634] area_under_roc_curve 0.9968450556642187 [0.999294,0.9991,0.995425,0.994198,0.997433,0.994029,0.996883,0.997435,0.996518,0.997648] area_under_roc_curve 0.9970668142041874 [0.998518,0.999716,0.997784,0.998793,0.99886,0.994858,0.993821,0.998767,0.991682,0.997095] area_under_roc_curve 0.9975799683879941 [0.998162,0.999492,0.998068,0.997837,0.99878,0.997151,0.997598,0.996451,0.997399,0.99464] area_under_roc_curve 0.9981585617294063 [0.999367,0.999028,0.998678,0.998182,0.999029,0.996611,0.996889,0.998461,0.997336,0.997727] area_under_roc_curve 0.9966631039290258 [0.99939,0.999373,0.996742,0.993703,0.997261,0.995833,0.995583,0.996531,0.997009,0.994881] area_under_roc_curve 0.9971585346494263 [0.99789,0.99972,0.998038,0.995715,0.997655,0.990008,0.998591,0.998014,0.996498,0.998461] area_under_roc_curve 0.9967300023658818 [0.999579,0.998646,0.998848,0.995278,0.994211,0.993707,0.997582,0.997907,0.995125,0.995815] area_under_roc_curve 0.9959335941252292 [0.993893,0.997836,0.993932,0.995244,0.998718,0.994461,0.990494,0.999036,0.997634,0.997577] area_under_roc_curve 0.9981202828920557 [0.998925,0.998792,0.998292,0.998507,0.998609,0.998508,0.997117,0.998597,0.996462,0.997277] 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 0.9572809607082104 [0.976104,0.982211,0.942019,0.946041,0.968312,0.934921,0.963177,0.95551,0.942815,0.956958] f_measure 0.9558355820186192 [0.971014,0.983565,0.943966,0.942756,0.963018,0.945946,0.955765,0.953804,0.944282,0.950213] f_measure 0.9544109352529614 [0.970888,0.974327,0.960403,0.949129,0.960177,0.941267,0.957787,0.960771,0.924209,0.940833] f_measure 0.9547413265046888 [0.973208,0.980916,0.94835,0.945225,0.962209,0.948963,0.962692,0.952381,0.932067,0.937765] f_measure 0.9576000395465062 [0.975362,0.977041,0.952381,0.957072,0.955007,0.944882,0.958702,0.957418,0.949745,0.944644] f_measure 0.9534214480390856 [0.973052,0.982234,0.939588,0.942918,0.955701,0.939587,0.964364,0.95251,0.937269,0.94228] f_measure 0.9545955369045477 [0.965015,0.982211,0.950142,0.944837,0.942378,0.941176,0.962963,0.959338,0.946363,0.946467] f_measure 0.9520162839157751 [0.973285,0.976388,0.956335,0.94208,0.95818,0.926598,0.963925,0.959889,0.925899,0.931802] f_measure 0.9550118037655377 [0.968863,0.986023,0.94,0.938776,0.959766,0.935004,0.949202,0.967786,0.950988,0.947674] f_measure 0.9563990985157284 [0.970397,0.976744,0.951965,0.956643,0.957153,0.946457,0.962692,0.961486,0.935673,0.940751] kappa 0.9525240951558677 kappa 0.9509350246345646 kappa 0.949348474623529 kappa 0.949666508294229 kappa 0.9528433829626295 kappa 0.9482362418077954 kappa 0.9495089953943631 kappa 0.9466510708754132 kappa 0.9499851214242169 kappa 0.9515708982881571 kb_relative_information_score 0.9572852869162658 kb_relative_information_score 0.9559235256790778 kb_relative_information_score 0.9542670298817402 kb_relative_information_score 0.9551764002824809 kb_relative_information_score 0.9574128864802186 kb_relative_information_score 0.9528322036488813 kb_relative_information_score 0.9553580350978195 kb_relative_information_score 0.951540447118067 kb_relative_information_score 0.9548860762754403 kb_relative_information_score 0.9573117522639787 mean_absolute_error 0.008872446089237283 mean_absolute_error 0.009046889183481692 mean_absolute_error 0.009387841446428468 mean_absolute_error 0.009390828438166582 mean_absolute_error 0.008892517523243219 mean_absolute_error 0.009686269261083718 mean_absolute_error 0.009287758093822967 mean_absolute_error 0.009919779784029817 mean_absolute_error 0.009233477934820801 mean_absolute_error 0.008936484684972951 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 0.9572947519061984 [0.976812,0.982211,0.942693,0.946704,0.973333,0.936407,0.955587,0.954856,0.9442,0.955587] precision 0.9558943190763913 [0.972424,0.978616,0.948052,0.951498,0.971642,0.948963,0.95369,0.944818,0.945668,0.940845] precision 0.954618277841985 [0.975146,0.961681,0.966667,0.944521,0.965875,0.918552,0.959184,0.964088,0.928994,0.956909] precision 0.9548560854347143 [0.972504,0.983418,0.951079,0.947887,0.95389,0.955056,0.969072,0.958333,0.930029,0.923398] precision 0.9577191632829535 [0.975362,0.982051,0.946328,0.96181,0.945402,0.938967,0.973054,0.958735,0.944928,0.945324] precision 0.953483390526873 [0.978038,0.982234,0.933616,0.948936,0.948127,0.942584,0.965066,0.942282,0.943536,0.946377] precision 0.9546823345584973 [0.970674,0.983461,0.946099,0.954286,0.938953,0.931677,0.962264,0.963989,0.948454,0.940426] precision 0.952074014999072 [0.969784,0.982028,0.95702,0.940111,0.960294,0.924409,0.955651,0.967922,0.926579,0.929799] precision 0.9550687353282415 [0.968162,0.987277,0.938659,0.943423,0.959064,0.925581,0.946454,0.96845,0.948905,0.957416] precision 0.956490627854296 [0.9683,0.966418,0.968889,0.955307,0.948201,0.942006,0.967647,0.96547,0.932945,0.946221] predictive_accuracy 0.9572857142857143 predictive_accuracy 0.9558571428571428 predictive_accuracy 0.9544285714285714 predictive_accuracy 0.9547142857142857 predictive_accuracy 0.9575714285714285 predictive_accuracy 0.9534285714285714 predictive_accuracy 0.9545714285714285 predictive_accuracy 0.9520000000000001 predictive_accuracy 0.955 predictive_accuracy 0.9564285714285714 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 0.9572857142857143 [0.975398,0.982211,0.941345,0.945378,0.963343,0.933439,0.970888,0.956164,0.941435,0.958333] recall 0.9558571428571428 [0.969609,0.988564,0.939914,0.934174,0.954545,0.942948,0.957849,0.962963,0.942899,0.95977] recall 0.9544285714285714 [0.966667,0.98731,0.95422,0.953782,0.954545,0.965135,0.956395,0.957476,0.919473,0.925287] recall 0.9547142857142857 [0.973913,0.978426,0.945637,0.942577,0.970674,0.942948,0.956395,0.946502,0.934114,0.952586] recall 0.9575714285714285 [0.975362,0.972081,0.958512,0.952381,0.964809,0.950872,0.944767,0.956104,0.954612,0.943966] recall 0.9534285714285714 [0.968116,0.982234,0.945637,0.936975,0.963397,0.936609,0.963663,0.962963,0.931085,0.938218] recall 0.9545714285714286 [0.95942,0.980964,0.95422,0.935574,0.945827,0.950872,0.963663,0.954733,0.944282,0.952586] recall 0.952 [0.976812,0.970812,0.955651,0.944056,0.956076,0.928797,0.972344,0.951989,0.92522,0.933813] recall 0.955 [0.969565,0.984772,0.941345,0.934174,0.960469,0.94462,0.951965,0.967123,0.953079,0.938129] recall 0.9564285714285714 [0.972504,0.987294,0.935622,0.957983,0.966276,0.950949,0.957787,0.957534,0.938416,0.935345] relative_absolute_error 0.0493073838482507 relative_absolute_error 0.05027677950787228 relative_absolute_error 0.052171687695239034 relative_absolute_error 0.05218828750692081 relative_absolute_error 0.0494189904776872 relative_absolute_error 0.05383016069869645 relative_absolute_error 0.051615487577842976 relative_absolute_error 0.05512781704404239 relative_absolute_error 0.051313806236667855 relative_absolute_error 0.049663211758714416 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 0.08621619983615264 root_mean_squared_error 0.08803382346859039 root_mean_squared_error 0.08991043956610693 root_mean_squared_error 0.08865172191236986 root_mean_squared_error 0.08652572825636261 root_mean_squared_error 0.0913390057228236 root_mean_squared_error 0.08842544548586335 root_mean_squared_error 0.09244142781431869 root_mean_squared_error 0.0886587111211837 root_mean_squared_error 0.0863397050138337 root_relative_squared_error 0.28743395048881026 root_relative_squared_error 0.29349340116083833 root_relative_squared_error 0.29975045908858927 root_relative_squared_error 0.29555404767750737 root_relative_squared_error 0.28846624366405854 root_relative_squared_error 0.30451312403924014 root_relative_squared_error 0.29479966895165566 root_relative_squared_error 0.30818819945839376 root_relative_squared_error 0.2955771953348901 root_relative_squared_error 0.2878453669462244 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 424103.1132089993 usercpu_time_millis 454378.1349850033 usercpu_time_millis 432914.6947979898 usercpu_time_millis 417675.524803999 usercpu_time_millis 420338.2226879912 usercpu_time_millis 462182.7540189988 usercpu_time_millis 422674.71008400025 usercpu_time_millis 577554.2279119982 usercpu_time_millis 450521.75119200547 usercpu_time_millis 450852.11537600844 usercpu_time_millis_testing 691.1797569919145 usercpu_time_millis_testing 703.5197020013584 usercpu_time_millis_testing 648.0415639962303 usercpu_time_millis_testing 663.2364760007476 usercpu_time_millis_testing 729.8408229980851 usercpu_time_millis_testing 733.9978929958306 usercpu_time_millis_testing 732.082854010514 usercpu_time_millis_testing 691.8536839948501 usercpu_time_millis_testing 668.3958630019333 usercpu_time_millis_testing 750.5745960079366 usercpu_time_millis_training 423411.93345200736 usercpu_time_millis_training 453674.6152830019 usercpu_time_millis_training 432266.65323399357 usercpu_time_millis_training 417012.28832799825 usercpu_time_millis_training 419608.38186499313 usercpu_time_millis_training 461448.756126003 usercpu_time_millis_training 421942.62722998974 usercpu_time_millis_training 576862.3742280033 usercpu_time_millis_training 449853.35532900353 usercpu_time_millis_training 450101.5407800005 wall_clock_time_millis 424111.0634803772 wall_clock_time_millis 454487.5314235687 wall_clock_time_millis 432993.80588531494 wall_clock_time_millis 417683.2263469696 wall_clock_time_millis 420385.0610256195 wall_clock_time_millis 462191.34759902954 wall_clock_time_millis 422682.785987854 wall_clock_time_millis 577564.4409656525 wall_clock_time_millis 450530.39932250977 wall_clock_time_millis 450859.69829559326 wall_clock_time_millis_testing 691.1952495574951 wall_clock_time_millis_testing 703.5365104675293 wall_clock_time_millis_testing 648.0915546417236 wall_clock_time_millis_testing 663.2566452026367 wall_clock_time_millis_testing 730.1394939422607 wall_clock_time_millis_testing 734.0154647827148 wall_clock_time_millis_testing 732.0976257324219 wall_clock_time_millis_testing 691.868782043457 wall_clock_time_millis_testing 668.410062789917 wall_clock_time_millis_testing 750.5896091461182 wall_clock_time_millis_training 423419.8682308197 wall_clock_time_millis_training 453783.9949131012 wall_clock_time_millis_training 432345.7143306732 wall_clock_time_millis_training 417019.96970176697 wall_clock_time_millis_training 419654.92153167725 wall_clock_time_millis_training 461457.3321342468 wall_clock_time_millis_training 421950.6883621216 wall_clock_time_millis_training 576872.572183609 wall_clock_time_millis_training 449861.98925971985 wall_clock_time_millis_training 450109.10868644714