6062100 1 Jan van Rijn 3481 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4096634 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 0.608456664032067 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.6734767519138918 6953 decision_function_shape null 6953 degree 2 6953 gamma 0.1165142478957011 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 939 6953 shrinking false 6953 tol 0.0005998362537777304 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 13047602 description https://api.openml.org/data/download/13047602/description.xml -1 13047603 predictions https://api.openml.org/data/download/13047603/predictions.arff area_under_roc_curve 0.9995835440358534 [0.999907,0.99886,0.999957,0.99941,0.99968,0.999514,0.998952,0.999884,0.999988,0.99933,0.999537,1,0.999506,0.998667,0.999999,0.998245,0.999992,0.999985,0.999699,0.999207,0.999993,0.99923,0.999996,0.999976,1,0.999659] average_cost 0 f_measure 0.975258503866265 [0.988391,0.932455,0.983389,0.950166,0.961857,0.958264,0.966667,0.991597,0.994992,0.991653,0.991653,0.996667,0.951907,0.951424,0.996667,0.940199,0.998336,0.996678,0.968174,0.961474,0.994992,0.940778,0.996667,0.991681,0.998331,0.961474] kappa 0.9742567682174061 kb_relative_information_score 7514.602899208199 mean_absolute_error 0.006305934972423897 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 0.9753246602960167 [0.983498,0.921824,0.980132,0.94702,0.957096,0.953488,0.966667,1,0.996656,0.993311,0.993311,0.996667,0.944079,0.956229,0.996667,0.937086,0.996678,0.993377,0.973064,0.96633,0.996656,0.955326,0.996667,0.990033,1,0.96633] predictive_accuracy 0.9752468898294215 prior_entropy 4.700438289429255 recall 0.9752468898294215 [0.993333,0.943333,0.986667,0.953333,0.966667,0.963087,0.966667,0.983333,0.993333,0.99,0.99,0.996667,0.959866,0.946667,0.996667,0.943333,1,1,0.963333,0.956667,0.993333,0.926667,0.996667,0.993333,0.996667,0.956667] relative_absolute_error 0.08525624759221459 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04150243741745305 root_relative_squared_error 0.21581268316154045 total_cost 0 area_under_roc_curve 0.9998085470085468 [0.999822,1,0.999867,0.999733,0.999911,0.999867,1,1,1,1,1,1,0.999467,0.999378,1,0.998622,0.999911,1,0.999956,0.999467,0.999956,0.9996,1,0.999733,1,0.999733] area_under_roc_curve 0.9995042735042735 [0.999867,0.999067,1,0.999511,0.999822,1,1,1,0.999911,0.9992,0.996133,1,0.999422,0.9988,1,0.997689,1,0.999733,1,0.999644,1,0.998311,1,1,1,1] area_under_roc_curve 0.9996683760683761 [0.999511,0.999422,0.999956,0.998533,0.999644,0.999644,0.999244,0.998711,1,0.999822,1,1,1,1,1,1,1,1,0.999867,0.999244,1,0.9988,1,1,1,0.998978] area_under_roc_curve 0.9994769230769232 [1,0.998667,0.999956,0.999467,1,0.999911,1,1,1,1,1,1,0.999111,0.999556,1,0.990133,1,1,0.999911,0.999689,1,1,1,1,1,1] area_under_roc_curve 0.9991863247863249 [1,0.997822,1,0.999378,0.999467,0.9984,0.999956,1,1,0.994667,1,1,0.999467,0.998533,1,0.999778,1,1,0.998222,0.995422,1,0.997867,0.999956,1,1,0.999911] area_under_roc_curve 0.999957264957265 [1,0.999733,1,0.999956,1,1,0.999956,1,1,1,1,1,0.999956,0.999911,1,0.999467,1,1,1,0.999911,1,1,1,1,1,1] area_under_roc_curve 0.9993504273504275 [1,0.999022,1,0.999822,0.998667,0.999778,1,1,1,1,1,1,0.998222,0.990889,1,0.997289,0.999911,1,1,0.999822,0.999911,1,1,1,1,0.999778] area_under_roc_curve 0.9996726532538323 [1,0.997374,0.999955,0.998843,0.999644,0.999822,0.997063,1,1,1,1,1,0.999908,0.999822,1,1,1,1,0.999822,0.999866,1,0.999866,1,1,1,0.99951] area_under_roc_curve 0.999650370512559 [1,0.99862,1,0.99951,1,0.999954,0.995149,1,1,1,1,1,0.999777,0.999822,1,0.999911,1,1,1,0.999466,1,0.999466,1,1,1,0.999243] area_under_roc_curve 0.99978588824466 [1,0.999288,1,1,0.999866,0.997517,0.999866,1,1,1,1,1,0.999866,0.999911,1,0.999866,1,1,0.999199,1,1,0.99911,1,1,1,0.999866] 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 0.9730643767696455 [0.966667,1,0.95082,0.935484,0.965517,0.966667,0.983051,0.983051,1,1,0.983607,0.983607,0.983607,0.983051,0.983051,0.896552,1,1,0.983607,0.95082,1,0.933333,1,0.949153,1,0.918033] f_measure 0.9768100144526084 [0.967742,0.915254,1,0.967742,0.952381,0.967742,0.967742,0.983051,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1] f_measure 0.9731114271274063 [0.983607,0.912281,0.983051,0.931034,0.95082,0.952381,0.966667,0.983051,1,0.983051,0.983051,1,0.967742,0.949153,1,0.952381,1,1,0.947368,0.965517,1,0.923077,1,1,1,0.966667] f_measure 0.9755585746564903 [1,0.967742,0.983607,0.947368,1,0.966667,0.967742,0.983051,1,0.983051,1,1,0.903226,0.896552,1,0.933333,1,1,0.966667,0.915254,1,0.983051,1,0.983607,1,0.983607] f_measure 0.9642752761980916 [1,0.892308,1,0.949153,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.918033,0.933333,0.983607,0.933333,1,1,0.931034,0.933333,1,0.896552,0.966667,1,1,0.965517] f_measure 0.9846189551498112 [1,0.952381,0.983051,0.967742,0.983051,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.967742] f_measure 0.9729967514816577 [0.966667,0.983051,0.983607,0.95082,0.912281,0.966667,1,0.983051,0.983607,1,0.983607,1,0.918033,0.915254,1,0.918033,0.983607,1,0.983051,0.983607,0.966667,0.967742,1,1,0.983051,0.965517] f_measure 0.9730199293906068 [1,0.903226,0.983051,0.949153,0.95082,0.933333,0.915254,1,1,1,1,1,0.966667,0.965517,1,0.967742,1,1,0.933333,0.95082,1,0.928571,1,1,1,0.95082] f_measure 0.9756868635536449 [1,0.870968,1,0.903226,0.967742,0.983051,0.949153,1,0.983051,1,1,1,0.983051,0.983607,1,0.935484,1,0.983607,1,0.965517,1,0.912281,1,1,1,0.947368] f_measure 0.9832147251492089 [1,0.931034,0.967742,1,0.983607,0.964286,0.983051,1,1,1,1,1,0.949153,0.95082,1,0.983607,1,1,0.967742,0.983607,1,0.949153,1,1,1,0.949153] kappa 0.972 kappa 0.976 kappa 0.972 kappa 0.9746666666666667 kappa 0.9626666666666667 kappa 0.9840000000000001 kappa 0.972 kappa 0.9719641063783844 kappa 0.9746341480134567 kappa 0.9826443278297441 kb_relative_information_score 749.6787690550041 kb_relative_information_score 752.0536252817972 kb_relative_information_score 750.4192724031459 kb_relative_information_score 753.5263928738162 kb_relative_information_score 746.6967522202656 kb_relative_information_score 756.8869245938071 kb_relative_information_score 748.2487951066148 kb_relative_information_score 751.5744695600977 kb_relative_information_score 751.407921262039 kb_relative_information_score 754.1099768515871 mean_absolute_error 0.006660665271447946 mean_absolute_error 0.005996322085347172 mean_absolute_error 0.006507430335461495 mean_absolute_error 0.006245962327600839 mean_absolute_error 0.006748290222830036 mean_absolute_error 0.005892577530796427 mean_absolute_error 0.006685808354529297 mean_absolute_error 0.006083286865837505 mean_absolute_error 0.006217638563962407 mean_absolute_error 0.006020603710301477 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 0.9735448702669223 [0.966667,1,0.935484,0.90625,1,0.966667,1,1,1,1,0.967742,0.967742,0.967742,1,1,0.928571,1,1,0.967742,0.935484,1,0.933333,1,0.965517,1,0.903226] precision 0.9778164734783199 [0.9375,0.931034,1,0.9375,0.909091,0.9375,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,1,1,1,1] precision 0.9746980666822157 [0.967742,0.962963,1,0.964286,0.935484,0.909091,0.966667,1,1,1,1,1,0.9375,0.965517,1,0.909091,1,1,1,1,1,0.857143,1,1,1,0.966667] precision 0.9761345532480126 [1,0.9375,0.967742,1,1,0.966667,0.9375,1,1,1,1,1,0.875,0.928571,1,0.933333,1,1,0.966667,0.931034,1,1,1,0.967742,1,0.967742] precision 0.9652547396985662 [1,0.828571,1,0.965517,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.903226,0.933333,0.967742,0.933333,1,1,0.964286,0.933333,1,0.928571,0.966667,1,1,1] precision 0.9855285171817428 [1,0.909091,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.9375] precision 0.9735439464235348 [0.966667,1,0.967742,0.935484,0.962963,0.966667,1,1,0.967742,1,0.967742,1,0.903226,0.931034,1,0.903226,0.967742,1,1,0.967742,0.966667,0.9375,1,1,1,1] precision 0.973805047970859 [1,0.875,1,0.965517,0.935484,0.933333,0.931034,1,1,1,1,1,0.935484,1,1,0.9375,1,1,0.933333,0.935484,1,1,1,1,1,0.935484] precision 0.9766717016593501 [1,0.84375,1,0.875,0.9375,0.966667,0.965517,1,1,1,1,1,1,0.967742,1,0.90625,1,0.967742,1,1,1,0.962963,1,1,1,1] precision 0.98361542166276 [1,0.964286,0.9375,1,0.967742,1,1,1,1,1,1,1,0.965517,0.935484,1,0.967742,1,1,0.9375,0.967742,1,0.965517,1,1,1,0.965517] predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9769230769230769 predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9756410256410257 predictive_accuracy 0.9641025641025641 predictive_accuracy 0.9846153846153847 predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9730423620025674 predictive_accuracy 0.975609756097561 predictive_accuracy 0.9833119383825416 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 recall 0.9730769230769231 [0.966667,1,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.866667,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333] recall 0.9769230769230769 [1,0.9,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1] recall 0.9730769230769231 [1,0.866667,0.966667,0.9,0.966667,1,0.966667,0.966667,1,0.966667,0.966667,1,1,0.933333,1,1,1,1,0.9,0.933333,1,1,1,1,1,0.966667] recall 0.9756410256410256 [1,1,1,0.9,1,0.966667,1,0.966667,1,0.966667,1,1,0.933333,0.866667,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1] recall 0.9641025641025641 [1,0.966667,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.933333,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333] recall 0.9846153846153847 [1,1,0.966667,1,0.966667,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1] recall 0.9730769230769231 [0.966667,0.966667,1,0.966667,0.866667,0.966667,1,0.966667,1,1,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333] recall 0.9730423620025674 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.933333,1,1,1,1,0.933333,0.966667,1,0.866667,1,1,1,0.966667] recall 0.975609756097561 [1,0.9,1,0.933333,1,1,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.966667,1,1,1,0.933333,1,0.866667,1,1,1,0.9] recall 0.9833119383825417 [1,0.9,1,1,1,0.931034,0.966667,1,1,1,1,1,0.933333,0.966667,1,1,1,1,1,1,1,0.933333,1,1,1,0.933333] relative_absolute_error 0.0900521944699757 relative_absolute_error 0.08107027459389327 relative_absolute_error 0.08798045813543888 relative_absolute_error 0.08444541066916283 relative_absolute_error 0.09123688381266153 relative_absolute_error 0.07966764821636721 relative_absolute_error 0.09039212895323555 relative_absolute_error 0.0822460508424196 relative_absolute_error 0.08406250042109181 relative_absolute_error 0.08139858834282424 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 0.04401144774009182 root_mean_squared_error 0.04113284890531892 root_mean_squared_error 0.04267281478315664 root_mean_squared_error 0.04077624495495063 root_mean_squared_error 0.04707578663379478 root_mean_squared_error 0.0350196539613337 root_mean_squared_error 0.04470136285715412 root_mean_squared_error 0.041335755276706354 root_mean_squared_error 0.03882807867679262 root_mean_squared_error 0.03813547043046628 root_relative_squared_error 0.2288595191987053 root_relative_squared_error 0.21389080584979275 root_relative_squared_error 0.22189862809789626 root_relative_squared_error 0.21203646538120366 root_relative_squared_error 0.24479408081586168 root_relative_squared_error 0.18210219339808392 root_relative_squared_error 0.23244707766556677 root_relative_squared_error 0.21494595138865802 root_relative_squared_error 0.20190606607273867 root_relative_squared_error 0.19830450217591694 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 92577.66553500001 usercpu_time_millis 93538.564042 usercpu_time_millis 92709.85680299997 usercpu_time_millis 93654.61748400003 usercpu_time_millis 89443.45831999999 usercpu_time_millis 89117.4650380001 usercpu_time_millis 89960.66919299995 usercpu_time_millis 94453.568624 usercpu_time_millis 88815.73729199999 usercpu_time_millis 93608.5550140001 usercpu_time_millis_testing 3907.7657740000122 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