10315649 8323 Heinrich Peters 3481 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8167722 l2_regularization 1e-07 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 32 12677 max_depth 19 12677 max_iter 250 12677 max_leaf_nodes 64 12677 min_samples_leaf 31 12677 n_iter_no_change null 12677 random_state 64069 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. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21552957 description https://api.openml.org/data/download/21552957/description.xml -1 21552958 predictions https://api.openml.org/data/download/21552958/predictions.arff area_under_roc_curve 0.9993247977005372 [0.999846,0.998618,0.999735,0.998438,0.999291,0.999369,0.998813,0.99949,0.999437,0.999863,0.999891,0.999976,0.999081,0.999113,0.99981,0.997729,0.999968,0.999919,0.999093,0.997545,0.999876,0.998575,0.999944,0.999836,0.999997,0.999193] average_cost 0 f_measure 0.961765876130073 [0.970395,0.911433,0.985124,0.93864,0.930626,0.961474,0.952862,0.989899,0.983333,0.979933,0.97351,0.986755,0.931092,0.936455,0.988314,0.922559,0.975288,0.986755,0.968174,0.940577,0.963455,0.919732,0.978224,0.988391,0.993311,0.949495] kappa 0.9602513748908712 kb_relative_information_score 0.9685348594787679 mean_absolute_error 0.003261043386969377 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.9619555367859333 [0.957792,0.88162,0.977049,0.933993,0.945017,0.959866,0.962585,1,0.983333,0.983221,0.967105,0.980263,0.935811,0.939597,0.989967,0.931973,0.964169,0.980263,0.973064,0.958478,0.960265,0.922819,0.983165,0.983498,0.996644,0.959184] predictive_accuracy 0.9617801718609722 prior_entropy 4.700438279892712 recall 0.9617801718609722 [0.983333,0.943333,0.993333,0.943333,0.916667,0.963087,0.943333,0.98,0.983333,0.976667,0.98,0.993333,0.926421,0.933333,0.986667,0.913333,0.986667,0.993333,0.963333,0.923333,0.966667,0.916667,0.973333,0.993333,0.99,0.94] relative_absolute_error 0.04408931009029219 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04791016718370957 root_relative_squared_error 0.24913287927244046 total_cost 0 area_under_roc_curve 0.9995965811965812 [0.999778,0.999867,0.999911,0.9984,1,0.999911,0.999956,1,1,1,0.9996,1,0.9992,0.999378,0.998044,0.9992,0.999956,0.999822,1,0.999244,0.999956,0.999111,1,0.998711,1,0.999467] area_under_roc_curve 0.9990649572649573 [0.9992,0.998978,1,0.999422,0.999378,1,0.998133,0.999822,0.994622,0.999689,0.999689,1,0.998444,0.9988,1,0.994222,1,0.999422,1,0.999422,0.999822,0.9968,1,1,1,0.999822] area_under_roc_curve 0.9995350427350428 [0.999733,0.9996,0.999867,0.999156,0.999467,0.999956,0.999778,0.994889,0.999867,0.999867,0.999778,1,1,0.999911,1,1,1,0.999778,0.999822,0.999689,1,0.999511,0.999956,0.999422,1,0.997867] area_under_roc_curve 0.999382905982906 [0.999911,0.998222,0.999956,0.999733,0.999644,0.999956,0.999867,1,1,1,1,0.999911,0.9988,0.999156,1,0.991822,1,1,0.999956,0.999822,1,0.997378,1,1,1,0.999822] area_under_roc_curve 0.9985111111111109 [1,0.999156,1,0.998756,0.9992,0.998578,0.998089,0.999956,1,0.999733,0.999867,0.999867,0.9984,0.999156,1,0.999867,1,1,0.991511,0.985511,0.999733,0.996578,0.999778,1,1,0.997556] area_under_roc_curve 0.9994837606837604 [1,0.998844,0.997911,0.9972,0.999422,0.999911,0.998667,1,1,0.999867,0.999689,1,0.998756,0.999467,1,0.9988,0.999956,1,0.999956,0.999733,1,0.998978,1,1,1,0.999422] area_under_roc_curve 0.9994358974358973 [0.999822,0.9996,1,0.9996,0.997422,0.999111,1,0.999733,1,1,1,1,0.9988,0.9964,1,0.995689,1,1,1,1,0.999644,0.999733,1,1,1,0.999778] area_under_roc_curve 0.9993144497898495 [0.999866,0.996306,1,0.995372,0.998487,1,0.997819,1,1,1,1,1,0.999954,0.999688,0.999911,0.999955,1,1,1,0.99555,0.999955,0.99951,1,1,1,0.999822] area_under_roc_curve 0.9992202000327922 [1,0.997018,0.999955,0.996395,0.999866,0.999678,0.99684,1,0.999955,0.999822,1,1,0.999332,0.999733,1,0.998709,0.999644,1,1,0.995238,0.999733,0.999199,0.999377,1,1,0.999243] area_under_roc_curve 0.9996693831684293 [1,0.999555,1,1,0.999955,0.996736,0.999733,1,0.999955,1,1,1,0.998487,0.999288,0.999911,1,1,1,0.999777,1,0.999822,0.998976,0.999822,1,1,0.999288] 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 0.9626939640336685 [0.965517,0.967742,0.967742,0.95082,1,0.965517,0.947368,1,1,1,0.9375,1,0.885246,0.915254,0.983051,0.877193,0.966667,0.983607,0.967742,0.915254,0.983607,0.918033,1,0.966667,1,0.965517] f_measure 0.9575928445851173 [0.920635,0.920635,1,0.95082,0.933333,0.952381,0.95082,0.983051,0.966667,0.967742,0.966667,1,0.933333,0.918033,1,0.892857,1,0.966667,0.947368,0.949153,0.947368,0.896552,1,1,1,0.933333] f_measure 0.9666831694156789 [0.967742,0.933333,0.983607,0.9,0.935484,0.983607,0.949153,0.983051,0.966667,0.983051,0.983051,0.983051,0.983607,0.949153,1,0.983051,0.983607,0.966667,0.966667,0.931034,0.983607,0.9375,0.983051,0.983051,0.983607,0.947368] f_measure 0.9652765825433477 [0.983051,0.892308,0.983607,0.95082,0.965517,0.966667,0.967742,0.983051,1,0.983051,0.952381,0.983607,0.9,0.915254,1,0.933333,1,1,0.966667,0.947368,0.983607,0.888889,1,0.983607,1,0.966667] f_measure 0.9459555538415593 [0.967742,0.918033,1,0.9375,0.896552,0.918033,0.966667,0.983051,0.983607,0.95082,0.965517,0.983607,0.862069,0.885246,1,0.947368,0.967742,1,0.912281,0.915254,0.95082,0.885246,0.931034,0.983607,0.983051,0.9] f_measure 0.9667021043985403 [1,0.888889,0.983051,0.885246,0.915254,0.947368,0.966667,1,1,0.983051,0.966667,0.983607,0.965517,0.967742,1,0.896552,0.983051,1,0.967742,0.966667,1,0.949153,0.983607,0.983607,1,0.95082] f_measure 0.9600752998752894 [0.967742,0.920635,0.983607,0.947368,0.827586,0.966667,0.983607,0.965517,0.983607,0.983051,0.983607,0.983607,0.918033,0.931034,0.983051,0.866667,0.983607,1,0.983051,0.967742,0.933333,0.966667,1,0.983607,0.983051,0.965517] f_measure 0.9665528149837668 [0.983607,0.870968,1,0.965517,0.896552,0.983607,0.931034,1,0.983051,1,1,0.967742,0.966667,0.947368,0.949153,0.952381,0.983607,1,0.983051,0.933333,0.966667,0.915254,1,1,1,0.95082] f_measure 0.9513262750999969 [0.967742,0.870968,0.983051,0.9,0.949153,0.965517,0.915254,1,0.966667,0.949153,0.983051,1,0.947368,0.967742,1,0.875,0.903226,0.983607,1,0.888889,0.933333,0.918033,0.933333,1,0.983051,0.95082] f_measure 0.9743116331684483 [0.983051,0.933333,0.967742,1,0.983051,0.965517,0.947368,1,0.983051,1,1,0.983051,0.949153,0.966667,0.967742,1,0.983607,0.967742,0.983607,0.983607,0.95082,0.918033,0.949153,1,1,0.965517] kappa 0.9613333333333334 kappa 0.9560000000000001 kappa 0.9653333333333334 kappa 0.964 kappa 0.944 kappa 0.9653333333333334 kappa 0.9586666666666667 kappa 0.965288893611333 kappa 0.949268209083119 kappa 0.9732990574121679 kb_relative_information_score 0.9680815798505219 kb_relative_information_score 0.9636756905060844 kb_relative_information_score 0.9717597586374659 kb_relative_information_score 0.9725127371651513 kb_relative_information_score 0.960657637229351 kb_relative_information_score 0.9691380451223303 kb_relative_information_score 0.9691923735987639 kb_relative_information_score 0.9722545039386677 kb_relative_information_score 0.960677967651258 kb_relative_information_score 0.977404374910423 mean_absolute_error 0.003528818171870133 mean_absolute_error 0.003800348206966103 mean_absolute_error 0.0029235466941523684 mean_absolute_error 0.0029237701084748368 mean_absolute_error 0.003945531173203531 mean_absolute_error 0.0029205888077936375 mean_absolute_error 0.0032240755356197767 mean_absolute_error 0.002857461958246486 mean_absolute_error 0.0038859187737835996 mean_absolute_error 0.0025998104152068235 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.9638977867798288 [1,0.9375,0.9375,0.935484,1,1,1,1,1,1,0.882353,1,0.870968,0.931034,1,0.925926,0.966667,0.967742,0.9375,0.931034,0.967742,0.903226,1,0.966667,1,1] precision 0.9589995133285756 [0.878788,0.878788,1,0.935484,0.933333,0.909091,0.935484,1,0.966667,0.9375,0.966667,1,0.933333,0.903226,1,0.961538,1,0.966667,1,0.965517,1,0.928571,1,1,1,0.933333] precision 0.9677387724791293 [0.9375,0.933333,0.967742,0.9,0.90625,0.967742,0.965517,1,0.966667,1,1,1,0.967742,0.965517,1,1,0.967742,0.966667,0.966667,0.964286,0.967742,0.882353,1,1,0.967742,1] precision 0.9671531448714429 [1,0.828571,0.967742,0.935484,1,0.966667,0.9375,1,1,1,0.909091,0.967742,0.9,0.931034,1,0.933333,1,1,0.966667,1,0.967742,1,1,0.967742,1,0.966667] precision 0.947165845555396 [0.9375,0.903226,1,0.882353,0.928571,0.903226,0.966667,1,0.967742,0.935484,1,0.967742,0.892857,0.870968,1,1,0.9375,1,0.962963,0.931034,0.935484,0.870968,0.964286,0.967742,1,0.9] precision 0.9676263623288092 [1,0.848485,1,0.870968,0.931034,1,0.966667,1,1,1,0.966667,0.967742,1,0.9375,1,0.928571,1,1,0.9375,0.966667,1,0.965517,0.967742,0.967742,1,0.935484] precision 0.9609988130149419 [0.9375,0.878788,0.967742,1,0.857143,0.966667,0.967742,1,0.967742,1,0.967742,0.967742,0.903226,0.964286,1,0.866667,0.967742,1,1,0.9375,0.933333,0.966667,1,0.967742,1,1] precision 0.9675004054726887 [0.967742,0.84375,1,1,0.928571,0.967742,0.964286,1,1,1,1,0.9375,0.935484,1,0.965517,0.909091,0.967742,1,1,0.933333,0.966667,0.931034,1,1,1,0.935484] precision 0.953240050969904 [0.9375,0.84375,1,0.9,0.965517,0.965517,0.931034,1,0.966667,0.965517,1,1,1,0.9375,1,0.823529,0.875,0.967742,1,1,0.933333,0.903226,0.933333,1,1,0.935484] precision 0.9750501912694319 [1,0.933333,0.9375,1,1,0.965517,1,1,1,1,1,1,0.965517,0.966667,0.9375,1,0.967742,0.9375,0.967742,0.967742,0.935484,0.903226,0.965517,1,1,1] predictive_accuracy 0.9628205128205128 predictive_accuracy 0.9576923076923077 predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9653846153846153 predictive_accuracy 0.9461538461538461 predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9602564102564102 predictive_accuracy 0.9666238767650834 predictive_accuracy 0.951219512195122 predictive_accuracy 0.9743260590500641 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700435698259304 prior_entropy 4.700429514669705 prior_entropy 4.700429514669705 recall 0.9628205128205128 [0.933333,1,1,0.966667,1,0.933333,0.9,1,1,1,1,1,0.9,0.9,0.966667,0.833333,0.966667,1,1,0.9,1,0.933333,1,0.966667,1,0.933333] recall 0.9576923076923077 [0.966667,0.966667,1,0.966667,0.933333,1,0.966667,0.966667,0.966667,1,0.966667,1,0.933333,0.933333,1,0.833333,1,0.966667,0.9,0.933333,0.9,0.866667,1,1,1,0.933333] recall 0.9666666666666667 [1,0.933333,1,0.9,0.966667,1,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,1,0.933333,1,0.966667,1,0.966667,0.966667,0.9,1,1,0.966667,0.966667,1,0.9] recall 0.9653846153846154 [0.966667,0.966667,1,0.966667,0.933333,0.966667,1,0.966667,1,0.966667,1,1,0.9,0.9,1,0.933333,1,1,0.966667,0.9,1,0.8,1,1,1,0.966667] recall 0.9461538461538461 [1,0.933333,1,1,0.866667,0.933333,0.966667,0.966667,1,0.966667,0.933333,1,0.833333,0.9,1,0.9,1,1,0.866667,0.9,0.966667,0.9,0.9,1,0.966667,0.9] recall 0.9666666666666667 [1,0.933333,0.966667,0.9,0.9,0.9,0.966667,1,1,0.966667,0.966667,1,0.933333,1,1,0.866667,0.966667,1,1,0.966667,1,0.933333,1,1,1,0.966667] recall 0.9602564102564103 [1,0.966667,1,0.9,0.8,0.966667,1,0.933333,1,0.966667,1,1,0.933333,0.9,0.966667,0.866667,1,1,0.966667,1,0.933333,0.966667,1,1,0.966667,0.933333] recall 0.9666238767650834 [1,0.9,1,0.933333,0.866667,1,0.9,1,0.966667,1,1,1,1,0.9,0.933333,1,1,1,0.966667,0.933333,0.966667,0.9,1,1,1,0.966667] recall 0.9512195121951219 [1,0.9,0.966667,0.9,0.933333,0.965517,0.9,1,0.966667,0.933333,0.966667,1,0.9,1,1,0.933333,0.933333,1,1,0.8,0.933333,0.933333,0.933333,1,0.966667,0.966667] recall 0.9743260590500642 [0.966667,0.933333,1,1,0.966667,0.965517,0.9,1,0.966667,1,1,0.966667,0.933333,0.966667,1,1,1,1,1,1,0.966667,0.933333,0.933333,1,1,0.933333] relative_absolute_error 0.04770962168368391 relative_absolute_error 0.051380707758181404 relative_absolute_error 0.03952635130493978 relative_absolute_error 0.03952937186657956 relative_absolute_error 0.05334358146171142 relative_absolute_error 0.039486360681369743 relative_absolute_error 0.043589501241579114 relative_absolute_error 0.03863289150771704 relative_absolute_error 0.05253763871879631 relative_absolute_error 0.035149448118419746 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.04830529700714982 root_mean_squared_error 0.05227908640497464 root_mean_squared_error 0.04517978723490744 root_mean_squared_error 0.04530501246594929 root_mean_squared_error 0.05413523737476203 root_mean_squared_error 0.046624027430302264 root_mean_squared_error 0.046509130450677644 root_mean_squared_error 0.045121980376696215 root_mean_squared_error 0.05370603403788936 root_mean_squared_error 0.040065730219187266 root_relative_squared_error 0.2511875345044921 root_relative_squared_error 0.2718512385560781 root_relative_squared_error 0.23493488433150886 root_relative_squared_error 0.23558605550717732 root_relative_squared_error 0.281503223217305 root_relative_squared_error 0.24244493305059275 root_relative_squared_error 0.24184746878017024 root_relative_squared_error 0.2346343241023302 root_relative_squared_error 0.27927145577357654 root_relative_squared_error 0.20834185590859058 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 180694.47146297898 usercpu_time_millis 173311.39270798303 usercpu_time_millis 173550.45623303158 usercpu_time_millis 174769.57141497405 usercpu_time_millis 172597.84087503795 usercpu_time_millis 172710.57071496034 usercpu_time_millis 173480.5158849922 usercpu_time_millis 174608.8912759442 usercpu_time_millis 171631.52270199498 usercpu_time_millis 172338.79242796684 usercpu_time_millis_testing 237.71707800915465 usercpu_time_millis_testing 239.3089469987899 usercpu_time_millis_testing 254.18493303004652 usercpu_time_millis_testing 224.00604898575693 usercpu_time_millis_testing 256.68008002685383 usercpu_time_millis_testing 242.42436297936365 usercpu_time_millis_testing 232.46725997887552 usercpu_time_millis_testing 232.58330998942256 usercpu_time_millis_testing 227.78063802979887 usercpu_time_millis_testing 232.10746399126947 usercpu_time_millis_training 180456.75438496983 usercpu_time_millis_training 173072.08376098424 usercpu_time_millis_training 173296.27130000154 usercpu_time_millis_training 174545.5653659883 usercpu_time_millis_training 172341.1607950111 usercpu_time_millis_training 172468.14635198098 usercpu_time_millis_training 173248.04862501333 usercpu_time_millis_training 174376.30796595477 usercpu_time_millis_training 171403.74206396518 usercpu_time_millis_training 172106.68496397557 wall_clock_time_millis 180706.4709663391 wall_clock_time_millis 173332.0620059967 wall_clock_time_millis 173557.90066719055 wall_clock_time_millis 174773.08225631714 wall_clock_time_millis 172603.98983955383 wall_clock_time_millis 172719.2621231079 wall_clock_time_millis 173486.3567352295 wall_clock_time_millis 174627.34723091125 wall_clock_time_millis 171649.43051338196 wall_clock_time_millis 172345.19696235657 wall_clock_time_millis_testing 237.72644996643066 wall_clock_time_millis_testing 239.3171787261963 wall_clock_time_millis_testing 254.1952133178711 wall_clock_time_millis_testing 224.0140438079834 wall_clock_time_millis_testing 256.69002532958984 wall_clock_time_millis_testing 242.43497848510742 wall_clock_time_millis_testing 232.47504234313965 wall_clock_time_millis_testing 232.5911521911621 wall_clock_time_millis_testing 227.78940200805664 wall_clock_time_millis_testing 232.1159839630127 wall_clock_time_millis_training 180468.74451637268 wall_clock_time_millis_training 173092.7448272705 wall_clock_time_millis_training 173303.70545387268 wall_clock_time_millis_training 174549.06821250916 wall_clock_time_millis_training 172347.29981422424 wall_clock_time_millis_training 172476.8271446228 wall_clock_time_millis_training 173253.88169288635 wall_clock_time_millis_training 174394.7560787201 wall_clock_time_millis_training 171421.6411113739 wall_clock_time_millis_training 172113.08097839355