10228812 8323 Heinrich Peters 32 Supervised Classification 12677 sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2) 8153916 l2_regularization 0.0 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 256 12677 max_depth null 12677 max_iter 100 12677 max_leaf_nodes 31 12677 min_samples_leaf 20 12677 n_iter_no_change null 12677 random_state 31060 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 openml-python Sklearn_0.21.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 21378998 description https://api.openml.org/data/download/21378998/description.xml -1 21378999 predictions https://api.openml.org/data/download/21378999/predictions.arff area_under_roc_curve 0.9997678961211446 [0.99995,0.999891,0.999862,0.998814,0.999996,0.999806,0.999509,0.999969,0.999969,0.999845] average_cost 0 f_measure 0.9921771370959873 [0.995178,0.98732,0.990418,0.990982,0.99651,0.993352,0.995733,0.991243,0.992901,0.988146] kappa 0.9913052037019219 kb_relative_information_score 0.9924242115228649 mean_absolute_error 0.0017004771532360245 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9921842019574093 [0.997364,0.986888,0.986979,0.992395,0.994774,0.995243,0.997151,0.991243,0.991493,0.988615] predictive_accuracy 0.9921761280931587 prior_entropy 3.320771739846944 recall 0.9921761280931587 [0.993001,0.987752,0.993881,0.989573,0.998252,0.991469,0.994318,0.991243,0.994313,0.987678] relative_absolute_error 0.009448776307704299 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.03557194047215927 root_relative_squared_error 0.11858369345298207 total_cost 0 area_under_roc_curve 0.9999816527112653 [1,0.999956,0.999982,0.999981,1,0.999962,1,0.999991,0.999953,0.999991] area_under_roc_curve 0.99972286871416 [0.999709,0.999573,0.999576,0.999703,1,0.998823,1,0.999956,0.999924,0.999943] area_under_roc_curve 0.9989818011585562 [0.999947,0.999955,0.999072,0.991626,1,0.99999,1,1,0.999923,0.998936] area_under_roc_curve 0.9994383878245617 [1,0.99985,0.99992,0.999483,1,0.99943,0.995679,0.999832,0.999981,0.99999] area_under_roc_curve 0.9999907993964591 [1,0.999982,0.999991,0.99999,0.999982,1,1,1,1,0.999962] area_under_roc_curve 0.9999668053902687 [0.999866,0.999947,0.999938,1,1,1,1,1,0.999923,1] area_under_roc_curve 0.9999770162769521 [0.999982,0.999973,1,0.999933,1,1,1,0.999947,0.999952,0.999981] area_under_roc_curve 0.999983447332308 [1,1,1,1,0.999964,1,1,0.999955,1,0.999914] area_under_roc_curve 0.9996908712742634 [0.999991,0.999617,1,0.997397,1,0.999971,0.999971,1,1,0.999876] area_under_roc_curve 0.9999963374358531 [1,1,1,0.999971,1,1,1,1,1,0.99999] 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 0.9918123415131033 [0.991379,0.991228,0.991379,0.985646,1,0.985646,1,0.995595,0.985782,0.990566] f_measure 0.986379393437106 [0.986784,0.978166,0.969697,0.990476,1,0.985646,0.995261,0.9869,0.985915,0.985915] f_measure 0.9927122966021015 [0.991228,0.995633,0.995671,0.985782,1,0.995215,0.995261,1,0.990476,0.976303] f_measure 0.9863694960671094 [1,0.969697,0.982456,0.990385,0.995671,0.990654,0.990385,0.969697,0.985782,0.990385] f_measure 0.9954502399798608 [1,0.995633,0.995633,0.990566,0.991304,0.995261,1,0.995633,1,0.990476] f_measure 0.9954499723275843 [0.99115,0.991379,0.99115,1,0.991379,1,0.995215,1,0.995261,1] f_measure 0.9927215292656811 [0.995595,0.986784,0.995633,0.995261,1,1,0.995305,0.986784,0.985782,0.985782] f_measure 0.9945357045346533 [1,0.99115,0.995633,0.995305,0.991228,0.995261,0.995305,0.991304,1,0.990385] f_measure 0.9918172973297735 [0.995633,0.987013,0.995633,0.990476,0.995633,0.990385,0.990476,0.99115,1,0.981308] f_measure 0.9945367577065233 [1,0.986667,0.991379,0.985782,1,0.995261,1,0.995595,1,0.990566] kappa 0.9909072038825321 kappa 0.9848457712813589 kappa 0.9919101950680899 kappa 0.9848311412024299 kappa 0.9949439137879793 kappa 0.9949439277446329 kappa 0.9919105821215769 kappa 0.9939328807683175 kappa 0.9908991201838763 kappa 0.9939329254266918 kb_relative_information_score 0.99275908599309 kb_relative_information_score 0.9855371782542229 kb_relative_information_score 0.991944436756708 kb_relative_information_score 0.9876160320468789 kb_relative_information_score 0.9957126945647403 kb_relative_information_score 0.9942796469955988 kb_relative_information_score 0.9937512223791019 kb_relative_information_score 0.9942192741614015 kb_relative_information_score 0.9918505799627693 kb_relative_information_score 0.996577617849163 mean_absolute_error 0.0016999953328232795 mean_absolute_error 0.003018143307833572 mean_absolute_error 0.0018630977936241432 mean_absolute_error 0.0025899363233872932 mean_absolute_error 0.001086169598514602 mean_absolute_error 0.0012470625814329083 mean_absolute_error 0.001378382381611503 mean_absolute_error 0.0012791259191992034 mean_absolute_error 0.001720589332907058 mean_absolute_error 0.0011210704311502377 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.1799686846580439 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799686846580439 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.9918542013542014 [0.982906,0.991228,0.982906,0.990385,1,0.990385,1,1,0.990476,0.990566] precision 0.9864597534658591 [1,0.973913,0.965517,0.990476,1,0.990385,1,0.982609,0.981308,0.981308] precision 0.9927448322198126 [1,0.991304,0.991379,0.981132,1,1,0.990566,1,0.990476,0.980952] precision 0.9864726944208024 [1,0.965517,0.982456,1,0.991379,0.981481,1,0.965517,0.981132,1] precision 0.9954662341258851 [1,1,0.991304,0.990566,0.991304,1,1,0.991304,1,0.990476] precision 0.9955212102189629 [1,0.982906,1,1,0.982906,1,1,1,0.990566,1] precision 0.9927553031670417 [1,0.99115,0.991304,1,1,1,0.990654,0.99115,0.981132,0.981132] precision 0.9945967879886987 [1,1,0.991304,0.990654,0.991228,1,0.990654,0.982759,1,1] precision 0.9919550187343044 [0.991304,0.974359,0.991304,1,0.991304,1,1,1,1,0.972222] precision 0.9945973520664064 [1,1,0.982906,0.981132,1,0.990566,1,1,1,0.990566] predictive_accuracy 0.9918181818181818 predictive_accuracy 0.9863636363636364 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.986351228389445 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.994540491355778 predictive_accuracy 0.991810737033667 predictive_accuracy 0.994540491355778 prior_entropy 3.3207726565016804 prior_entropy 3.3207726565016804 prior_entropy 3.320615093773185 prior_entropy 3.320615093773185 prior_entropy 3.3207190205874304 prior_entropy 3.3207190205874304 prior_entropy 3.320822852867135 prior_entropy 3.3209290746720725 prior_entropy 3.3209290746720725 prior_entropy 3.3208228528671353 recall 0.9918181818181818 [1,0.991228,1,0.980952,1,0.980952,1,0.991228,0.981132,0.990566] recall 0.9863636363636363 [0.973913,0.982456,0.973913,0.990476,1,0.980952,0.990566,0.991228,0.990566,0.990566] recall 0.9927206551410374 [0.982609,1,1,0.990476,1,0.990476,1,1,0.990476,0.971698] recall 0.986351228389445 [1,0.973913,0.982456,0.980952,1,1,0.980952,0.973913,0.990476,0.980952] recall 0.9954504094631483 [1,0.991304,1,0.990566,0.991304,0.990566,1,1,1,0.990476] recall 0.9954504094631483 [0.982456,1,0.982456,1,1,1,0.990476,1,1,1] recall 0.9927206551410374 [0.991228,0.982456,1,0.990566,1,1,1,0.982456,0.990476,0.990476] recall 0.9945404913557779 [1,0.982456,1,1,0.991228,0.990566,1,1,1,0.980952] recall 0.991810737033667 [1,1,1,0.981132,1,0.980952,0.981132,0.982456,1,0.990566] recall 0.9945404913557779 [1,0.973684,1,0.990476,1,1,1,0.991228,1,0.990566] relative_absolute_error 0.009446098384044106 relative_absolute_error 0.01677044523151283 relative_absolute_error 0.010352509899150358 relative_absolute_error 0.014391268948840314 relative_absolute_error 0.006035373797745542 relative_absolute_error 0.006929386385350857 relative_absolute_error 0.007659012367793593 relative_absolute_error 0.007107433487414827 relative_absolute_error 0.009560414701351931 relative_absolute_error 0.006229252790730614 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.2999744686062071 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.2999744686062071 root_mean_squared_error 0.03450193165192966 root_mean_squared_error 0.05010160519288148 root_mean_squared_error 0.0367704688867369 root_mean_squared_error 0.0465375806386452 root_mean_squared_error 0.02566954400442783 root_mean_squared_error 0.031187454188943572 root_mean_squared_error 0.03315625129698729 root_mean_squared_error 0.02940317528474904 root_mean_squared_error 0.036876245582621425 root_mean_squared_error 0.021883169876488463 root_relative_squared_error 0.11501667165811917 root_relative_squared_error 0.16702021011893328 root_relative_squared_error 0.1225806219996294 root_relative_squared_error 0.15514095288299923 root_relative_squared_error 0.08557311355154708 root_relative_squared_error 0.1039678600536803 root_relative_squared_error 0.1105302442939346 root_relative_squared_error 0.09801812436577145 root_relative_squared_error 0.12293027506913248 root_relative_squared_error 0.07295010798140857 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 28390.380000000732 usercpu_time_millis 22277.518000000782 usercpu_time_millis 24578.796000001603 usercpu_time_millis 23503.121999998257 usercpu_time_millis 23289.450000003853 usercpu_time_millis 23523.405999996612 usercpu_time_millis 27131.453999998485 usercpu_time_millis 26402.07200000077 usercpu_time_millis 24814.698000001954 usercpu_time_millis 23098.51400000116 usercpu_time_millis_testing 218.3580000000802 usercpu_time_millis_testing 210.11399999952118 usercpu_time_millis_testing 213.40000000054715 usercpu_time_millis_testing 198.94600000043283 usercpu_time_millis_testing 208.2460000019637 usercpu_time_millis_testing 205.06999999997788 usercpu_time_millis_testing 232.62999999860767 usercpu_time_millis_testing 233.0660000006901 usercpu_time_millis_testing 209.0360000001965 usercpu_time_millis_testing 197.90199999988545 usercpu_time_millis_training 28172.022000000652 usercpu_time_millis_training 22067.40400000126 usercpu_time_millis_training 24365.396000001056 usercpu_time_millis_training 23304.175999997824 usercpu_time_millis_training 23081.20400000189 usercpu_time_millis_training 23318.335999996634 usercpu_time_millis_training 26898.823999999877 usercpu_time_millis_training 26169.00600000008 usercpu_time_millis_training 24605.662000001757 usercpu_time_millis_training 22900.612000001274 wall_clock_time_millis 4821.269989013672 wall_clock_time_millis 2899.9671936035156 wall_clock_time_millis 3476.8218994140625 wall_clock_time_millis 3091.228246688843 wall_clock_time_millis 3040.2672290802 wall_clock_time_millis 3090.616464614868 wall_clock_time_millis 4110.909938812256 wall_clock_time_millis 3870.540142059326 wall_clock_time_millis 3537.224054336548 wall_clock_time_millis 3100.8849143981934 wall_clock_time_millis_testing 31.322717666625977 wall_clock_time_millis_testing 27.590274810791016 wall_clock_time_millis_testing 27.34994888305664 wall_clock_time_millis_testing 25.25806427001953 wall_clock_time_millis_testing 28.34796905517578 wall_clock_time_millis_testing 26.441335678100586 wall_clock_time_millis_testing 33.56599807739258 wall_clock_time_millis_testing 32.708168029785156 wall_clock_time_millis_testing 27.33898162841797 wall_clock_time_millis_testing 25.156021118164062 wall_clock_time_millis_training 4789.947271347046 wall_clock_time_millis_training 2872.3769187927246 wall_clock_time_millis_training 3449.471950531006 wall_clock_time_millis_training 3065.9701824188232 wall_clock_time_millis_training 3011.9192600250244 wall_clock_time_millis_training 3064.1751289367676 wall_clock_time_millis_training 4077.3439407348633 wall_clock_time_millis_training 3837.831974029541 wall_clock_time_millis_training 3509.88507270813 wall_clock_time_millis_training 3075.7288932800293