10317678 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) 8155117 l2_regularization 1e-07 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 8 12677 max_depth 12 12677 max_iter 500 12677 max_leaf_nodes 8 12677 min_samples_leaf 18 12677 n_iter_no_change null 12677 random_state 3934 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 21557039 description https://api.openml.org/data/download/21557039/description.xml -1 21557040 predictions https://api.openml.org/data/download/21557040/predictions.arff area_under_roc_curve 0.9994429086400278 [0.99989,0.99839,0.999763,0.99892,0.999398,0.999106,0.999079,0.999515,0.999848,0.999849,0.99991,0.999963,0.99937,0.999304,0.999812,0.998443,0.999996,0.999967,0.999164,0.998233,0.999943,0.998856,0.99996,0.999746,0.999994,0.999096] average_cost 0 f_measure 0.9606383660792716 [0.973597,0.896104,0.966997,0.930233,0.931553,0.926174,0.964706,0.989899,0.981758,0.978369,0.980066,0.983498,0.942177,0.945274,0.988275,0.938023,0.990066,0.99,0.940199,0.940375,0.978369,0.909091,0.986622,0.99,0.993311,0.941569] kappa 0.9590509067540063 kb_relative_information_score 0.9676326483871749 mean_absolute_error 0.0032448982425639953 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 0.9608117341982856 [0.964052,0.873418,0.957516,0.927152,0.93311,0.926174,0.972881,1,0.976898,0.976744,0.976821,0.973856,0.958478,0.940594,0.993266,0.942761,0.983553,0.99,0.937086,0.961672,0.976744,0.918367,0.989933,0.99,0.996644,0.943144] predictive_accuracy 0.9606258817493908 prior_entropy 4.700438279892712 recall 0.9606258817493908 [0.983333,0.92,0.976667,0.933333,0.93,0.926174,0.956667,0.98,0.986667,0.98,0.983333,0.993333,0.926421,0.95,0.983333,0.933333,0.996667,0.99,0.943333,0.92,0.98,0.9,0.983333,0.99,0.99,0.94] relative_absolute_error 0.04387102772061082 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04894457423995802 root_relative_squared_error 0.2545117961790492 total_cost 0 area_under_roc_curve 0.9994769230769232 [0.999822,0.999333,0.999778,0.996489,0.999911,0.999778,0.999911,1,1,1,0.999733,1,0.9992,0.999289,0.998133,0.999244,1,0.999822,0.999867,0.999644,1,0.9996,1,0.997822,1,0.999022] area_under_roc_curve 0.9995470085470086 [0.999778,0.998533,1,0.999867,0.999022,0.999822,0.999422,1,0.998711,0.999778,0.999778,0.999956,0.998667,0.998978,1,0.997689,1,0.999822,0.999911,0.999644,1,0.998978,1,1,1,0.999867] area_under_roc_curve 0.9993076923076923 [0.9996,0.998756,0.999644,0.998267,0.999067,0.999689,0.999644,0.995289,0.999911,0.999778,1,1,0.999911,0.999689,1,0.999733,1,1,0.999289,0.9992,1,0.998533,0.999733,0.999778,1,0.996489] area_under_roc_curve 0.9993880341880342 [1,0.998,0.999956,0.999733,1,0.998978,0.999822,1,1,0.999867,1,1,0.9992,0.998444,1,0.994,1,1,0.998178,0.999911,1,0.998222,1,1,1,0.999778] area_under_roc_curve 0.9988564102564104 [1,0.998578,1,0.9992,0.999511,0.995689,0.997378,1,1,0.999467,1,0.999956,0.9992,0.999644,1,1,1,1,0.995822,0.989867,0.999822,0.997556,1,1,1,0.998578] area_under_roc_curve 0.9997042735042736 [1,0.998711,0.998622,0.998667,0.999244,0.999733,0.999778,1,1,0.999911,0.999822,0.999867,1,1,1,0.999244,1,1,0.999822,0.999911,0.999956,0.999467,0.999956,1,1,0.9996] area_under_roc_curve 0.999591452991453 [0.999867,0.999289,0.999867,0.999822,0.997733,0.999422,1,1,1,1,1,1,0.999067,0.999244,1,0.996756,1,1,0.999911,0.999422,0.999822,0.999778,1,1,1,0.999378] area_under_roc_curve 0.9995955377388077 [0.999955,0.996573,0.999911,0.999555,0.998932,0.999466,0.997908,1,1,1,1,1,0.999724,0.99951,1,1,1,1,0.999555,0.999199,1,0.99951,1,1,1,0.999688] area_under_roc_curve 0.9994412998532349 [1,0.997864,0.999866,0.997908,0.999955,0.999494,0.997775,1,1,0.999955,1,1,0.999644,0.999777,1,0.999243,0.999955,1,0.999911,0.995372,0.999866,0.99951,1,1,1,0.999377] area_under_roc_curve 0.9997532193830827 [0.999911,0.999243,0.999955,0.999777,1,0.999632,0.999866,1,0.999955,1,1,0.999911,0.999377,0.999599,0.999733,0.999555,1,1,0.999822,0.999955,0.999955,0.998487,1,1,1,0.998843] 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 0.9589564311686017 [0.935484,0.935484,0.920635,0.918033,0.983051,0.966667,0.95082,0.983051,0.967742,0.983607,0.95082,1,0.931034,0.933333,0.983051,0.928571,0.983607,0.966667,0.983607,0.931034,0.983051,0.933333,1,0.949153,1,0.931034] f_measure 0.9541486498480322 [0.95082,0.825397,0.983607,0.966667,0.857143,0.952381,0.95082,1,0.966667,0.95082,0.966667,0.967742,0.933333,0.933333,0.965517,0.896552,1,0.966667,0.965517,0.947368,0.983051,0.912281,1,1,1,0.965517] f_measure 0.955255056768673 [0.967742,0.915254,0.95082,0.888889,0.935484,0.9375,0.965517,0.983051,0.949153,0.983051,0.983051,0.983051,0.966667,0.933333,0.983607,0.966667,1,0.983051,0.931034,0.892857,0.983607,0.888889,0.966667,0.983051,0.983607,0.931034] f_measure 0.9679349365550283 [1,0.888889,0.983607,0.949153,0.983051,0.933333,0.935484,0.983051,1,0.95082,1,1,0.95082,0.949153,1,0.933333,1,1,0.933333,0.949153,1,0.892857,1,0.983607,1,0.966667] f_measure 0.9576364990596822 [0.983607,0.903226,1,0.952381,0.983607,0.870968,0.983051,0.983051,0.983607,0.966667,0.983051,0.983607,0.909091,0.920635,1,0.983051,0.983607,1,0.862069,0.949153,0.966667,0.881356,0.983051,1,0.983051,0.9] f_measure 0.9551471251591657 [1,0.830769,0.965517,0.862069,0.862069,0.915254,0.983051,1,1,0.983051,0.983607,0.95082,0.928571,0.952381,0.983607,0.915254,0.983051,1,0.933333,0.967742,0.983607,0.931034,0.983051,0.983607,1,0.952381] f_measure 0.9627383865444795 [0.95082,0.933333,0.95082,0.965517,0.877193,0.928571,1,0.965517,0.983607,1,0.983607,0.983607,0.935484,0.965517,0.983051,0.915254,1,1,0.952381,0.95082,0.95082,0.923077,1,1,0.983051,0.949153] f_measure 0.967794978682075 [0.966667,0.90625,0.966667,0.949153,0.896552,0.931034,0.949153,1,1,1,0.983607,1,0.983051,0.965517,1,0.967742,1,1,0.935484,0.931034,0.983607,0.928571,0.983607,1,1,0.935484] f_measure 0.9603084141244616 [1,0.9,0.966667,0.915254,0.966667,0.912281,0.965517,1,1,0.983607,0.983051,1,0.949153,0.95082,1,0.892308,0.967742,1,0.95082,0.909091,0.966667,0.903226,0.965517,1,1,0.918033] f_measure 0.9664709692956245 [0.983051,0.931034,0.983607,0.935484,0.967742,0.912281,0.965517,1,0.966667,0.983051,0.983607,0.967742,0.931034,0.95082,0.983051,0.983051,0.983607,0.983607,0.95082,0.967742,0.983051,0.896552,0.983607,1,0.983051,0.966667] kappa 0.9573333333333334 kappa 0.9520000000000001 kappa 0.9533333333333334 kappa 0.9666666666666667 kappa 0.9560000000000001 kappa 0.9533333333333334 kappa 0.9613333333333334 kappa 0.9666238789650746 kappa 0.9586134680607851 kappa 0.9652887151477552 kb_relative_information_score 0.9667881512371701 kb_relative_information_score 0.9614633839156099 kb_relative_information_score 0.964112104124778 kb_relative_information_score 0.974159936696748 kb_relative_information_score 0.9626464116890829 kb_relative_information_score 0.9698636973734203 kb_relative_information_score 0.9670191162554329 kb_relative_information_score 0.9711089036020223 kb_relative_information_score 0.9680531092100381 kb_relative_information_score 0.9711211516873968 mean_absolute_error 0.003364877994906082 mean_absolute_error 0.0037764161487441198 mean_absolute_error 0.003526654163305716 mean_absolute_error 0.0026477826079055315 mean_absolute_error 0.0036491221563743695 mean_absolute_error 0.0032140077745086487 mean_absolute_error 0.003269645677867145 mean_absolute_error 0.002841918904955455 mean_absolute_error 0.0032281708055521088 mean_absolute_error 0.0029294436769820935 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 0.9601762160716554 [0.90625,0.90625,0.878788,0.903226,1,0.966667,0.935484,1,0.9375,0.967742,0.935484,1,0.964286,0.933333,1,1,0.967742,0.966667,0.967742,0.964286,1,0.933333,1,0.965517,1,0.964286] precision 0.9558351072463975 [0.935484,0.787879,0.967742,0.966667,0.818182,0.909091,0.935484,1,0.966667,0.935484,0.966667,0.9375,0.933333,0.933333,1,0.928571,1,0.966667,1,1,1,0.962963,1,1,1,1] precision 0.956991433197949 [0.9375,0.931034,0.935484,0.848485,0.90625,0.882353,1,1,0.965517,1,1,1,0.966667,0.933333,0.967742,0.966667,1,1,0.964286,0.961538,0.967742,0.848485,0.966667,1,0.967742,0.964286] precision 0.9686901274511973 [1,0.848485,0.967742,0.965517,1,0.933333,0.90625,1,1,0.935484,1,1,0.935484,0.965517,1,0.933333,1,1,0.933333,0.965517,1,0.961538,1,0.967742,1,0.966667] precision 0.9589845348848407 [0.967742,0.875,1,0.909091,0.967742,0.84375,1,1,0.967742,0.966667,1,0.967742,1,0.878788,1,1,0.967742,1,0.892857,0.965517,0.966667,0.896552,1,1,1,0.9] precision 0.9568832423601611 [1,0.771429,1,0.892857,0.892857,0.931034,1,1,1,1,0.967742,0.935484,1,0.909091,0.967742,0.931034,1,1,0.933333,0.9375,0.967742,0.964286,1,0.967742,1,0.909091] precision 0.9643636938443666 [0.935484,0.933333,0.935484,1,0.925926,1,1,1,0.967742,1,0.967742,0.967742,0.90625,1,1,0.931034,1,1,0.909091,0.935484,0.935484,0.857143,1,1,1,0.965517] precision 0.969016255478875 [0.966667,0.852941,0.966667,0.965517,0.928571,0.964286,0.965517,1,1,1,0.967742,1,0.966667,1,1,0.9375,1,1,0.90625,0.964286,0.967742,1,0.967742,1,1,0.90625] precision 0.961893877440284 [1,0.9,0.966667,0.931034,0.966667,0.928571,1,1,1,0.967742,1,1,0.965517,0.935484,1,0.828571,0.9375,1,0.935484,1,0.966667,0.875,1,1,1,0.903226] precision 0.9672601793626473 [1,0.964286,0.967742,0.90625,0.9375,0.928571,1,1,0.966667,1,0.967742,0.9375,0.964286,0.935484,1,1,0.967742,0.967742,0.935484,0.9375,1,0.928571,0.967742,1,1,0.966667] predictive_accuracy 0.958974358974359 predictive_accuracy 0.9538461538461539 predictive_accuracy 0.9551282051282051 predictive_accuracy 0.967948717948718 predictive_accuracy 0.9576923076923077 predictive_accuracy 0.9551282051282051 predictive_accuracy 0.9628205128205128 predictive_accuracy 0.9679075738125802 predictive_accuracy 0.9602053915275995 predictive_accuracy 0.9666238767650834 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 0.958974358974359 [0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,1,0.966667,1,0.9,0.933333,0.966667,0.866667,1,0.966667,1,0.9,0.966667,0.933333,1,0.933333,1,0.9] recall 0.9538461538461539 [0.966667,0.866667,1,0.966667,0.9,1,0.966667,1,0.966667,0.966667,0.966667,1,0.933333,0.933333,0.933333,0.866667,1,0.966667,0.933333,0.9,0.966667,0.866667,1,1,1,0.933333] recall 0.9551282051282052 [1,0.9,0.966667,0.933333,0.966667,1,0.933333,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.966667,1,0.966667,0.9,0.833333,1,0.933333,0.966667,0.966667,1,0.9] recall 0.967948717948718 [1,0.933333,1,0.933333,0.966667,0.933333,0.966667,0.966667,1,0.966667,1,1,0.966667,0.933333,1,0.933333,1,1,0.933333,0.933333,1,0.833333,1,1,1,0.966667] recall 0.9576923076923077 [1,0.933333,1,1,1,0.9,0.966667,0.966667,1,0.966667,0.966667,1,0.833333,0.966667,1,0.966667,1,1,0.833333,0.933333,0.966667,0.866667,0.966667,1,0.966667,0.9] recall 0.9551282051282052 [1,0.9,0.933333,0.833333,0.833333,0.9,0.966667,1,1,0.966667,1,0.966667,0.866667,1,1,0.9,0.966667,1,0.933333,1,1,0.9,0.966667,1,1,1] recall 0.9628205128205128 [0.966667,0.933333,0.966667,0.933333,0.833333,0.866667,1,0.933333,1,1,1,1,0.966667,0.933333,0.966667,0.9,1,1,1,0.966667,0.966667,1,1,1,0.966667,0.933333] recall 0.9679075738125802 [0.966667,0.966667,0.966667,0.933333,0.866667,0.9,0.933333,1,1,1,1,1,1,0.933333,1,1,1,1,0.966667,0.9,1,0.866667,1,1,1,0.966667] recall 0.9602053915275995 [1,0.9,0.966667,0.9,0.966667,0.896552,0.933333,1,1,1,0.966667,1,0.933333,0.966667,1,0.966667,1,1,0.966667,0.833333,0.966667,0.933333,0.933333,1,1,0.933333] recall 0.9666238767650834 [0.966667,0.9,1,0.966667,1,0.896552,0.933333,1,0.966667,0.966667,1,1,0.9,0.966667,0.966667,0.966667,1,1,0.966667,1,0.966667,0.866667,1,1,0.966667,0.966667] relative_absolute_error 0.04549315049112995 relative_absolute_error 0.051057146331020195 relative_absolute_error 0.04768036428789299 relative_absolute_error 0.035798020858882576 relative_absolute_error 0.04933613155418118 relative_absolute_error 0.04345338511135667 relative_absolute_error 0.044205609564763534 relative_absolute_error 0.03842274939549814 relative_absolute_error 0.04364488332820389 relative_absolute_error 0.039606091250974314 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 0.04985317693795862 root_mean_squared_error 0.054362231394839505 root_mean_squared_error 0.05081744837534436 root_mean_squared_error 0.04425356064682845 root_mean_squared_error 0.05273696971880657 root_mean_squared_error 0.04844504943752713 root_mean_squared_error 0.048607562418882484 root_mean_squared_error 0.045763851333184516 root_mean_squared_error 0.04830837569451453 root_mean_squared_error 0.045327623876506476 root_relative_squared_error 0.25923650982641794 root_relative_squared_error 0.2826835920750326 root_relative_squared_error 0.26425072110254727 root_relative_squared_error 0.23011850626395172 root_relative_squared_error 0.27423223169385275 root_relative_squared_error 0.2519142471137178 root_relative_squared_error 0.2527593145833492 root_relative_squared_error 0.23797205344796704 root_relative_squared_error 0.2512036244706878 root_relative_squared_error 0.2357037106448491 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 295196.004671001 usercpu_time_millis 241199.62573299563 usercpu_time_millis 236007.23051899695 usercpu_time_millis 254211.25827100332 usercpu_time_millis 251753.42528700276 usercpu_time_millis 267414.6039390034 usercpu_time_millis 282275.5821779938 usercpu_time_millis 274862.5756409965 usercpu_time_millis 236284.23088299314 usercpu_time_millis 243916.3216080051 usercpu_time_millis_testing 464.6811330021592 usercpu_time_millis_testing 407.57751599448966 usercpu_time_millis_testing 400.325532995339 usercpu_time_millis_testing 411.34009799861815 usercpu_time_millis_testing 402.75430399924517 usercpu_time_millis_testing 385.64712300285464 usercpu_time_millis_testing 409.9026009935187 usercpu_time_millis_testing 403.9726499977405 usercpu_time_millis_testing 475.8949059978477 usercpu_time_millis_testing 395.096016000025 usercpu_time_millis_training 294731.32353799883 usercpu_time_millis_training 240792.04821700114 usercpu_time_millis_training 235606.9049860016 usercpu_time_millis_training 253799.9181730047 usercpu_time_millis_training 251350.6709830035 usercpu_time_millis_training 267028.9568160006 usercpu_time_millis_training 281865.67957700026 usercpu_time_millis_training 274458.60299099877 usercpu_time_millis_training 235808.3359769953 usercpu_time_millis_training 243521.22559200507 wall_clock_time_millis 295259.17196273804 wall_clock_time_millis 241308.62092971802 wall_clock_time_millis 236011.00087165833 wall_clock_time_millis 254273.1273174286 wall_clock_time_millis 251757.59434700012 wall_clock_time_millis 267425.58312416077 wall_clock_time_millis 282285.7446670532 wall_clock_time_millis 274867.1329021454 wall_clock_time_millis 236290.3606891632 wall_clock_time_millis 243929.93712425232 wall_clock_time_millis_testing 464.6952152252197 wall_clock_time_millis_testing 407.58824348449707 wall_clock_time_millis_testing 400.33745765686035 wall_clock_time_millis_testing 411.35263442993164 wall_clock_time_millis_testing 402.76527404785156 wall_clock_time_millis_testing 385.65826416015625 wall_clock_time_millis_testing 410.0766181945801 wall_clock_time_millis_testing 403.98406982421875 wall_clock_time_millis_testing 475.9087562561035 wall_clock_time_millis_testing 395.10607719421387 wall_clock_time_millis_training 294794.4767475128 wall_clock_time_millis_training 240901.03268623352 wall_clock_time_millis_training 235610.66341400146 wall_clock_time_millis_training 253861.77468299866 wall_clock_time_millis_training 251354.82907295227 wall_clock_time_millis_training 267039.9248600006 wall_clock_time_millis_training 281875.66804885864 wall_clock_time_millis_training 274463.14883232117 wall_clock_time_millis_training 235814.4519329071 wall_clock_time_millis_training 243534.8310470581