10363907 8323 Heinrich Peters 3481 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8219352 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 6.298726358757933 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.7866942235746366 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0019226387218415771 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 41497 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21649518 description https://api.openml.org/data/download/21649518/description.xml -1 21649519 predictions https://api.openml.org/data/download/21649519/predictions.arff area_under_roc_curve 0.986861740318068 [0.996267,0.966199,0.9946,0.9776,0.984133,0.984299,0.984667,0.991667,0.9932,0.993267,0.9966,0.9932,0.982011,0.9694,0.9982,0.970066,0.998267,0.999867,0.986333,0.9696,0.995,0.969266,0.998533,0.9932,0.993333,0.9796] average_cost 0 f_measure 0.9748094558444881 [0.986755,0.916803,0.985075,0.959866,0.963576,0.969799,0.97651,0.991597,0.989967,0.991625,0.994992,0.989967,0.952224,0.954315,0.995008,0.932455,0.996667,0.996678,0.978224,0.959184,0.994975,0.951096,0.96463,0.989967,0.993289,0.969697] kappa 0.9737232288358229 kb_relative_information_score 0.9744290414771157 mean_absolute_error 0.0019435483075344515 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 0.9751320623881806 [0.980263,0.897764,0.980198,0.963087,0.957237,0.969799,0.983108,1,0.993289,0.996633,0.996656,0.993289,0.938312,0.969072,0.993355,0.921824,0.996667,0.993377,0.983165,0.979167,1,0.962457,0.931677,0.993289,1,0.979592] predictive_accuracy 0.9747338720020521 prior_entropy 4.700438279892712 recall 0.9747338720020521 [0.993333,0.936667,0.99,0.956667,0.97,0.969799,0.97,0.983333,0.986667,0.986667,0.993333,0.986667,0.966555,0.94,0.996667,0.943333,0.996667,1,0.973333,0.94,0.99,0.94,1,0.986667,0.986667,0.96] relative_absolute_error 0.026276775202915652 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04408569277593868 root_relative_squared_error 0.2292456115603859 total_cost 0 area_under_roc_curve 0.9840000000000003 [0.999333,0.998667,0.982,0.982,0.982667,0.999333,0.966667,0.983333,1,1,1,0.999333,0.998,0.95,0.983333,0.914667,1,1,0.999333,0.964667,1,0.966,0.999333,0.966667,0.983333,0.965333] area_under_roc_curve 0.9873333333333333 [0.998667,0.980667,1,0.966,0.999333,1,1,0.983333,0.983333,0.999333,0.983333,0.983333,0.998667,0.966667,1,0.964667,1,0.999333,0.983333,0.95,0.983333,0.95,0.997333,1,1,1] area_under_roc_curve 0.9873333333333335 [0.999333,0.949333,0.983333,0.966,0.982,0.982667,0.983333,0.983333,0.983333,0.983333,0.983333,0.983333,1,1,0.999333,0.998,1,0.999333,0.982667,0.966667,1,0.998,0.998,0.983333,1,0.982667] area_under_roc_curve 0.9860000000000002 [1,0.98,0.999333,0.983333,1,0.999333,0.998667,0.983333,1,0.983333,1,1,0.980667,0.949333,1,0.948,0.983333,1,0.983333,0.933333,1,0.95,0.998667,0.999333,0.983333,0.999333] area_under_roc_curve 0.9853333333333335 [0.999333,0.964,1,0.982,0.982,0.964667,0.982667,1,1,0.983333,1,0.983333,0.982,0.966,0.999333,0.982667,1,1,0.949333,0.966,1,0.966,0.999333,0.983333,1,0.983333] area_under_roc_curve 0.992 [1,0.964,1,0.982667,0.983333,0.983333,1,1,1,1,1,0.983333,0.982,0.966,1,0.966,1,1,1,1,1,0.982667,0.999333,0.999333,1,1] area_under_roc_curve 0.9846666666666669 [0.982667,0.982667,0.999333,0.983333,0.966,0.966,1,0.983333,0.999333,1,0.999333,1,0.932,0.964667,1,0.964,0.999333,1,0.982667,0.999333,0.966667,0.982667,0.998,1,0.983333,0.966667] area_under_roc_curve 0.9873190921228305 [1,0.94733,0.983333,0.966667,0.964664,0.999332,0.965999,1,1,1,1,1,0.998,0.95,1,0.998665,1,1,0.983333,0.965999,1,0.965999,0.999332,1,1,0.981998] area_under_roc_curve 0.9846470850022253 [1,0.94733,1,0.963996,0.999332,0.982092,0.965999,1,0.966667,0.983333,1,1,0.982666,0.981998,1,0.964664,1,1,1,0.95,1,0.965999,0.996662,1,1,0.95] area_under_roc_curve 0.9899866488651534 [0.983333,0.947997,0.998665,1,0.981998,0.965517,0.983333,1,0.999332,1,1,0.999332,0.966667,0.999332,1,0.999332,1,1,0.999332,1,1,0.965332,0.999332,1,0.983333,0.966667] 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 0.9691001830758411 [0.983607,0.967742,0.95082,0.95082,0.966667,0.983607,0.965517,0.983051,1,1,1,0.983607,0.952381,0.947368,0.983051,0.862069,1,1,0.983607,0.918033,1,0.949153,0.983607,0.965517,0.983051,0.933333] f_measure 0.9757762677393184 [0.967742,0.920635,1,0.949153,0.983607,1,1,0.983051,0.983051,0.983607,0.983051,0.983051,0.967742,0.965517,1,0.918033,1,0.983607,0.983051,0.947368,0.983051,0.947368,0.9375,1,1,1] f_measure 0.9757266633683455 [0.983607,0.931034,0.983051,0.949153,0.95082,0.966667,0.983051,0.983051,0.983051,0.983051,0.983051,0.983051,1,1,0.983607,0.952381,1,0.983607,0.966667,0.965517,1,0.952381,0.952381,0.983051,1,0.966667] f_measure 0.9731567091630503 [1,0.90625,0.983607,0.983051,1,0.983607,0.967742,0.983051,1,0.983051,1,1,0.920635,0.931034,1,0.9,0.983051,1,0.983051,0.928571,1,0.947368,0.967742,0.983607,0.983051,0.983607] f_measure 0.9718679274962524 [0.983607,0.903226,1,0.95082,0.95082,0.918033,0.966667,1,1,0.983051,1,0.983051,0.95082,0.949153,0.983607,0.966667,1,1,0.931034,0.949153,1,0.949153,0.983607,0.983051,1,0.983051] f_measure 0.9846942136072628 [1,0.903226,1,0.966667,0.983051,0.983051,1,1,1,1,1,0.983051,0.95082,0.949153,1,0.949153,1,1,1,1,1,0.966667,0.983607,0.983607,1,1] f_measure 0.9705147243571124 [0.966667,0.966667,0.983607,0.983051,0.949153,0.949153,1,0.983051,0.983607,1,0.983607,1,0.896552,0.918033,1,0.903226,0.983607,1,0.966667,0.983607,0.965517,0.966667,0.952381,1,0.983051,0.965517] f_measure 0.9756594638672527 [1,0.885246,0.983051,0.965517,0.918033,0.983607,0.949153,1,1,1,1,1,0.95082,0.947368,1,0.967742,1,1,0.983051,0.949153,1,0.949153,0.983607,1,1,0.95082] f_measure 0.9706913092393822 [1,0.885246,1,0.903226,0.983607,0.965517,0.949153,1,0.965517,0.983051,1,1,0.966667,0.95082,1,0.918033,1,1,1,0.947368,1,0.949153,0.923077,1,1,0.947368] f_measure 0.9807136393126448 [0.983051,0.9,0.967742,1,0.95082,0.964286,0.983051,1,0.983607,1,1,0.983607,0.965517,0.983607,1,0.983607,1,1,0.983607,1,1,0.933333,0.983607,1,0.983051,0.965517] kappa 0.968 kappa 0.9746666666666667 kappa 0.9746666666666667 kappa 0.972 kappa 0.9706666666666667 kappa 0.9840000000000001 kappa 0.9693333333333334 kappa 0.974634234956804 kappa 0.9692939160239932 kappa 0.9799742244189356 kb_relative_information_score 0.9688638571420808 kb_relative_information_score 0.9753505535708139 kb_relative_information_score 0.9753480348601209 kb_relative_information_score 0.9727546178335567 kb_relative_information_score 0.9714522411264247 kb_relative_information_score 0.9844281526945836 kb_relative_information_score 0.9701511303433861 kb_relative_information_score 0.9753188825265071 kb_relative_information_score 0.9701190377578592 kb_relative_information_score 0.9805073201586134 mean_absolute_error 0.002366863905325443 mean_absolute_error 0.0018737672583826422 mean_absolute_error 0.0018737672583826422 mean_absolute_error 0.0020710059171597625 mean_absolute_error 0.0021696252465483227 mean_absolute_error 0.0011834319526627217 mean_absolute_error 0.002268244575936883 mean_absolute_error 0.0018761726078799243 mean_absolute_error 0.0022711563148020133 mean_absolute_error 0.001481188900957835 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 0.969918019966685 [0.967742,0.9375,0.935484,0.935484,0.966667,0.967742,1,1,1,1,1,0.967742,0.909091,1,1,0.892857,1,1,0.967742,0.903226,1,0.965517,0.967742,1,1,0.933333] precision 0.977234987471034 [0.9375,0.878788,1,0.965517,0.967742,1,1,1,1,0.967742,1,1,0.9375,1,1,0.903226,1,0.967742,1,1,1,1,0.882353,1,1,1] precision 0.9767609753983502 [0.967742,0.964286,1,0.965517,0.935484,0.966667,1,1,1,1,1,1,1,1,0.967742,0.909091,1,0.967742,0.966667,1,1,0.909091,0.909091,1,1,0.966667] precision 0.9746916350569101 [1,0.852941,0.967742,1,1,0.967742,0.9375,1,1,1,1,1,0.878788,0.964286,1,0.9,1,1,1,1,1,1,0.9375,0.967742,1,0.967742] precision 0.9723874614447473 [0.967742,0.875,1,0.935484,0.935484,0.903226,0.966667,1,1,1,1,1,0.935484,0.965517,0.967742,0.966667,1,1,0.964286,0.965517,1,0.965517,0.967742,1,1,1] precision 0.9850129060779782 [1,0.875,1,0.966667,1,1,1,1,1,1,1,1,0.935484,0.965517,1,0.965517,1,1,1,1,1,0.966667,0.967742,0.967742,1,1] precision 0.971242268113792 [0.966667,0.966667,0.967742,1,0.965517,0.965517,1,1,0.967742,1,0.967742,1,0.928571,0.903226,1,0.875,0.967742,1,0.966667,0.967742,1,0.966667,0.909091,1,1,1] precision 0.976453967180764 [1,0.870968,1,1,0.903226,0.967742,0.965517,1,1,1,1,1,0.90625,1,1,0.9375,1,1,1,0.965517,1,0.965517,0.967742,1,1,0.935484] precision 0.9720383836228569 [1,0.870968,1,0.875,0.967742,0.965517,0.965517,1,1,1,1,1,0.966667,0.935484,1,0.903226,1,1,1,1,1,0.965517,0.857143,1,1,1] precision 0.9812362830759036 [1,0.9,0.9375,1,0.935484,1,1,1,0.967742,1,1,0.967742,1,0.967742,1,0.967742,1,1,0.967742,1,1,0.933333,0.967742,1,1,1] predictive_accuracy 0.9692307692307692 predictive_accuracy 0.9756410256410257 predictive_accuracy 0.9756410256410257 predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9717948717948718 predictive_accuracy 0.9846153846153847 predictive_accuracy 0.9705128205128206 predictive_accuracy 0.975609756097561 predictive_accuracy 0.9704749679075738 predictive_accuracy 0.9807445442875482 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 0.9692307692307692 [1,1,0.966667,0.966667,0.966667,1,0.933333,0.966667,1,1,1,1,1,0.9,0.966667,0.833333,1,1,1,0.933333,1,0.933333,1,0.933333,0.966667,0.933333] recall 0.9756410256410256 [1,0.966667,1,0.933333,1,1,1,0.966667,0.966667,1,0.966667,0.966667,1,0.933333,1,0.933333,1,1,0.966667,0.9,0.966667,0.9,1,1,1,1] recall 0.9756410256410256 [1,0.9,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,1,1,1,1,1,1,0.966667,0.933333,1,1,1,0.966667,1,0.966667] recall 0.9730769230769231 [1,0.966667,1,0.966667,1,1,1,0.966667,1,0.966667,1,1,0.966667,0.9,1,0.9,0.966667,1,0.966667,0.866667,1,0.9,1,1,0.966667,1] recall 0.9717948717948718 [1,0.933333,1,0.966667,0.966667,0.933333,0.966667,1,1,0.966667,1,0.966667,0.966667,0.933333,1,0.966667,1,1,0.9,0.933333,1,0.933333,1,0.966667,1,0.966667] recall 0.9846153846153847 [1,0.933333,1,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.933333,1,0.933333,1,1,1,1,1,0.966667,1,1,1,1] recall 0.9705128205128205 [0.966667,0.966667,1,0.966667,0.933333,0.933333,1,0.966667,1,1,1,1,0.866667,0.933333,1,0.933333,1,1,0.966667,1,0.933333,0.966667,1,1,0.966667,0.933333] recall 0.975609756097561 [1,0.9,0.966667,0.933333,0.933333,1,0.933333,1,1,1,1,1,1,0.9,1,1,1,1,0.966667,0.933333,1,0.933333,1,1,1,0.966667] recall 0.9704749679075738 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.933333,0.966667,1,1,0.966667,0.966667,1,0.933333,1,1,1,0.9,1,0.933333,1,1,1,0.9] recall 0.9807445442875481 [0.966667,0.9,1,1,0.966667,0.931034,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,1,1,0.966667,0.933333] relative_absolute_error 0.03199999999999979 relative_absolute_error 0.025333333333333173 relative_absolute_error 0.025333333333333173 relative_absolute_error 0.02799999999999982 relative_absolute_error 0.029333333333333145 relative_absolute_error 0.0159999999999999 relative_absolute_error 0.030666666666666467 relative_absolute_error 0.02536585748789987 relative_absolute_error 0.030706043251851507 relative_absolute_error 0.020025680381642288 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 0.04865042554105198 root_mean_squared_error 0.043287033374702896 root_mean_squared_error 0.043287033374702896 root_mean_squared_error 0.04550830602384319 root_mean_squared_error 0.04657923621688448 root_mean_squared_error 0.03440104580768907 root_mean_squared_error 0.04762609133591463 root_mean_squared_error 0.04331480818242099 root_mean_squared_error 0.04765665026837297 root_mean_squared_error 0.038486217025811134 root_relative_squared_error 0.2529822028098169 root_relative_squared_error 0.22509256464763927 root_relative_squared_error 0.22509256464763927 root_relative_squared_error 0.2366431819664237 root_relative_squared_error 0.24221201875003037 root_relative_squared_error 0.178885431126332 root_relative_squared_error 0.24765566515372955 root_relative_squared_error 0.2252370276450301 root_relative_squared_error 0.24781465129879426 root_relative_squared_error 0.20012838498618885 total_cost 0 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