6724893 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) 4756792 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 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 13.187958850019967 6953 cache_size 200 6953 class_weight null 6953 coef0 0.27597274662591675 6953 decision_function_shape null 6953 degree 3 6953 gamma 1.440934668747424 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 59763 6953 shrinking false 6953 tol 0.004731936399625435 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 14381582 description https://api.openml.org/data/download/14381582/description.xml -1 14381583 predictions https://api.openml.org/data/download/14381583/predictions.arff area_under_roc_curve 0.9996100626714233 [0.999925,0.99892,0.999954,0.999423,0.999679,0.999278,0.999004,0.999882,0.999986,0.99943,0.999516,1,0.999563,0.999153,0.999998,0.998333,0.999992,0.99998,0.999697,0.99933,0.999996,0.999243,0.999996,0.999976,1,0.999607] average_cost 0 f_measure 0.9761474107467168 [0.988391,0.933775,0.983389,0.94702,0.960133,0.962963,0.973333,0.993289,0.994992,0.991653,0.991653,0.996667,0.963333,0.963333,0.996667,0.93178,0.998336,0.996678,0.974874,0.963087,0.996656,0.939394,0.98843,0.991681,0.998331,0.959866] kappa 0.9751904550443775 kb_relative_information_score 7518.388108084655 mean_absolute_error 0.006216457420427579 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 0.97618694104539 [0.983498,0.927632,0.980132,0.940789,0.956954,0.966216,0.973333,1,0.996656,0.993311,0.993311,0.996667,0.960133,0.963333,0.996667,0.930233,0.996678,0.993377,0.979798,0.969595,1,0.94898,0.980328,0.990033,1,0.963087] predictive_accuracy 0.9761446710273183 prior_entropy 4.700438289429255 recall 0.9761446710273182 [0.993333,0.94,0.986667,0.953333,0.963333,0.959732,0.973333,0.986667,0.993333,0.99,0.99,0.996667,0.966555,0.963333,0.996667,0.933333,1,1,0.97,0.956667,0.993333,0.93,0.996667,0.993333,0.996667,0.956667] relative_absolute_error 0.08404651099323235 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04122573694463556 root_relative_squared_error 0.21437384064561396 total_cost 0 area_under_roc_curve 0.9998205128205129 [0.999911,1,0.999778,0.999644,0.999956,0.999867,1,1,1,1,1,1,0.999556,0.999511,1,0.998533,0.999911,1,1,0.999422,0.999956,0.999778,1,0.999778,1,0.999733] area_under_roc_curve 0.9995025641025642 [0.999911,0.998978,1,0.999467,0.999867,1,1,1,0.999911,0.999467,0.9956,1,0.999333,0.998933,1,0.997867,1,0.999733,1,0.999778,1,0.998222,1,1,1,1] area_under_roc_curve 0.9996529914529915 [0.999689,0.999467,0.999956,0.998756,0.999778,0.999689,0.998844,0.998667,1,0.999822,1,1,1,1,1,1,1,1,0.999911,0.999244,1,0.998844,1,1,1,0.998311] area_under_roc_curve 0.9995384615384615 [1,0.998844,0.999956,0.999511,1,0.999956,1,1,1,0.999956,1,1,0.9992,0.999556,1,0.991378,1,1,0.999956,0.999689,1,1,1,1,1,1] area_under_roc_curve 0.9992581196581196 [1,0.997867,1,0.999556,0.999511,0.998356,0.999956,1,1,0.995289,1,1,0.999556,0.998578,1,0.999778,1,1,0.998133,0.996356,1,0.997911,0.999956,1,1,0.999911] area_under_roc_curve 0.9999589743589743 [1,0.999733,1,0.999911,1,1,0.999956,1,1,1,1,1,0.999956,0.999911,1,0.999644,1,1,1,0.999911,1,0.999956,1,0.999956,1,1] area_under_roc_curve 0.999523076923077 [1,0.999289,1,0.999778,0.998578,0.999778,1,1,1,1,1,1,0.998267,0.995422,1,0.996978,0.999956,1,1,0.999867,0.999911,1,1,1,1,0.999778] area_under_roc_curve 0.9996863620185638 [1,0.997508,0.999955,0.998709,0.999733,0.999911,0.997018,1,1,1,1,1,0.999954,0.999911,1,1,1,1,0.999955,0.999733,1,0.999866,1,1,1,0.999599] area_under_roc_curve 0.9996743694202455 [1,0.998531,1,0.99951,1,0.999862,0.99595,1,1,1,1,1,0.999733,0.999822,1,0.999733,1,1,1,0.999644,1,0.999466,1,1,1,0.999288] area_under_roc_curve 0.9996968783938419 [1,0.99911,1,1,0.999866,0.995264,1,1,1,1,1,1,0.999866,0.999955,1,0.999822,1,1,0.99911,1,1,0.999154,1,1,1,0.999822] 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 0.9717952317442801 [0.966667,1,0.95082,0.920635,0.947368,0.966667,0.983051,0.983051,1,1,0.983607,0.983607,0.983607,0.983051,0.983051,0.896552,1,1,0.983607,0.95082,1,0.933333,1,0.949153,1,0.918033] f_measure 0.9780934561585688 [0.967742,0.949153,1,0.967742,0.952381,0.983607,0.967742,0.983051,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,0.983607,1,1,1] f_measure 0.9744485410808582 [0.983607,0.912281,0.983051,0.949153,0.95082,0.935484,0.983051,0.983051,1,0.983051,0.983051,1,1,1,1,0.920635,1,1,0.947368,0.949153,1,0.9375,0.967742,1,1,0.966667] f_measure 0.975589012137216 [1,0.95082,0.966667,0.931034,1,0.966667,0.967742,1,1,0.983051,1,1,0.918033,0.915254,1,0.933333,1,1,0.966667,0.915254,1,0.983051,1,1,1,0.967742] f_measure 0.9654408897436205 [1,0.892308,1,0.949153,0.95082,0.918033,0.983607,1,1,0.966667,0.983051,0.983051,0.935484,0.949153,0.983607,0.933333,1,1,0.931034,0.949153,1,0.877193,0.966667,1,1,0.949153] f_measure 0.9846009748510183 [1,0.935484,1,0.967742,0.983051,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.966667,1,0.983607,1,0.983607] f_measure 0.9742573924544793 [0.966667,0.983051,0.983607,0.95082,0.912281,0.965517,1,0.983051,0.983607,1,0.983607,1,0.933333,0.933333,1,0.918033,0.983607,1,1,0.983607,0.983051,0.967742,0.983607,0.983607,0.983051,0.965517] f_measure 0.976937641176908 [1,0.903226,0.983051,0.931034,0.95082,0.966667,0.949153,1,1,1,1,1,0.966667,0.965517,1,0.952381,1,1,0.966667,0.966667,1,0.947368,1,1,1,0.95082] f_measure 0.9744147581532262 [1,0.885246,1,0.903226,0.967742,0.982456,0.949153,1,0.983051,1,1,1,0.983051,0.967742,1,0.918033,1,0.983607,1,0.965517,1,0.915254,0.983607,1,1,0.947368] f_measure 0.9858086452135305 [1,0.931034,0.967742,1,0.983607,0.982456,0.983051,1,1,1,1,1,0.983051,0.983607,1,0.966667,1,1,0.983607,0.983607,1,0.933333,1,1,1,0.949153] kappa 0.9706666666666667 kappa 0.9773333333333333 kappa 0.9733333333333333 kappa 0.9746666666666667 kappa 0.964 kappa 0.9840000000000001 kappa 0.9733333333333333 kappa 0.9759692340386151 kappa 0.9732990116521194 kappa 0.9853144564086657 kb_relative_information_score 749.7027433918179 kb_relative_information_score 752.3513467997617 kb_relative_information_score 750.6686174400497 kb_relative_information_score 753.9957863607701 kb_relative_information_score 746.8617493348497 kb_relative_information_score 757.4170129870637 kb_relative_information_score 748.8515501631814 kb_relative_information_score 752.6752110216812 kb_relative_information_score 751.348486966898 kb_relative_information_score 754.5156036185871 mean_absolute_error 0.006660417065377446 mean_absolute_error 0.005962128540751119 mean_absolute_error 0.006399164755015059 mean_absolute_error 0.0061811935618947475 mean_absolute_error 0.006740635969364664 mean_absolute_error 0.005765102260126322 mean_absolute_error 0.0065930082891166916 mean_absolute_error 0.005812023029860526 mean_absolute_error 0.006112897372547815 mean_absolute_error 0.005936993798605719 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 0.972488634835687 [0.966667,1,0.935484,0.878788,1,0.966667,1,1,1,1,0.967742,0.967742,0.967742,1,1,0.928571,1,1,0.967742,0.935484,1,0.933333,1,0.965517,1,0.903226] precision 0.9790651900009519 [0.9375,0.965517,1,0.9375,0.909091,0.967742,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,0.967742,1,1,1] precision 0.9757223361078544 [0.967742,0.962963,1,0.965517,0.935484,0.90625,1,1,1,1,1,1,1,1,1,0.878788,1,1,1,0.965517,1,0.882353,0.9375,1,1,0.966667] precision 0.975899911175217 [1,0.935484,0.966667,0.964286,1,0.966667,0.9375,1,1,1,1,1,0.903226,0.931034,1,0.933333,1,1,0.966667,0.931034,1,1,1,1,1,0.9375] precision 0.9664600865136184 [1,0.828571,1,0.965517,0.935484,0.903226,0.967742,1,1,0.966667,1,1,0.90625,0.965517,0.967742,0.933333,1,1,0.964286,0.965517,1,0.925926,0.966667,1,1,0.965517] precision 0.9853003515301901 [1,0.90625,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,0.966667,1,0.967742,1,0.967742] precision 0.9748730585424132 [0.966667,1,0.967742,0.935484,0.962963,1,1,1,0.967742,1,0.967742,1,0.933333,0.933333,1,0.903226,0.967742,1,1,0.967742,1,0.9375,0.967742,0.967742,1,1] precision 0.9777597951974415 [1,0.875,1,0.964286,0.935484,0.966667,0.965517,1,1,1,1,1,0.935484,1,1,0.909091,1,1,0.966667,0.966667,1,1,1,1,1,0.935484] precision 0.9752077975671156 [1,0.870968,1,0.875,0.9375,1,0.965517,1,1,1,1,1,1,0.9375,1,0.903226,1,0.967742,1,1,1,0.931034,0.967742,1,1,1] precision 0.9860694748755008 [1,0.964286,0.9375,1,0.967742,1,1,1,1,1,1,1,1,0.967742,1,0.966667,1,1,0.967742,0.967742,1,0.933333,1,1,1,0.965517] predictive_accuracy 0.9717948717948718 predictive_accuracy 0.9782051282051282 predictive_accuracy 0.9743589743589743 predictive_accuracy 0.9756410256410257 predictive_accuracy 0.9653846153846153 predictive_accuracy 0.9846153846153847 predictive_accuracy 0.9743589743589743 predictive_accuracy 0.9768934531450577 predictive_accuracy 0.9743260590500641 predictive_accuracy 0.9858793324775352 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 0.9717948717948718 [0.966667,1,0.966667,0.966667,0.9,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.866667,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333] recall 0.9782051282051282 [1,0.933333,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1] recall 0.9743589743589743 [1,0.866667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,0.966667,1,1,0.9,0.933333,1,1,1,1,1,0.966667] recall 0.9756410256410256 [1,0.966667,0.966667,0.9,1,0.966667,1,1,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1] recall 0.9653846153846154 [1,0.966667,1,0.933333,0.966667,0.933333,1,1,1,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.833333,0.966667,1,1,0.933333] recall 0.9846153846153847 [1,0.966667,1,1,0.966667,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1] recall 0.9743589743589743 [0.966667,0.966667,1,0.966667,0.866667,0.933333,1,0.966667,1,1,1,1,0.933333,0.933333,1,0.933333,1,1,1,1,0.966667,1,1,1,0.966667,0.933333] recall 0.9768934531450578 [1,0.933333,0.966667,0.9,0.966667,0.966667,0.933333,1,1,1,1,1,1,0.933333,1,1,1,1,0.966667,0.966667,1,0.9,1,1,1,0.966667] recall 0.9743260590500642 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.933333,1,1,1,0.933333,1,0.9,1,1,1,0.9] recall 0.9858793324775353 [1,0.9,1,1,1,0.965517,0.966667,1,1,1,1,1,0.966667,1,1,0.966667,1,1,1,1,1,0.933333,1,1,1,0.933333] relative_absolute_error 0.09004883872390251 relative_absolute_error 0.08060797787095465 relative_absolute_error 0.08651670748780306 relative_absolute_error 0.08356973695681649 relative_absolute_error 0.09113339830580972 relative_absolute_error 0.0779441825569074 relative_absolute_error 0.08913747206885712 relative_absolute_error 0.07857856322634761 relative_absolute_error 0.08264639905771766 relative_absolute_error 0.08026818197313443 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 0.04430810040526227 root_mean_squared_error 0.040940275863313925 root_mean_squared_error 0.04245516750539458 root_mean_squared_error 0.040376682596453724 root_mean_squared_error 0.04670489067797182 root_mean_squared_error 0.034913602631253746 root_mean_squared_error 0.04420776098291933 root_mean_squared_error 0.04032563513196384 root_mean_squared_error 0.03912547108732261 root_mean_squared_error 0.03756740905643362 root_relative_squared_error 0.23040211299659297 root_relative_squared_error 0.21288942607096428 root_relative_squared_error 0.22076686229828688 root_relative_squared_error 0.20995874119917904 root_relative_squared_error 0.24286542192184707 root_relative_squared_error 0.1815507265034748 root_relative_squared_error 0.22988034802104176 root_relative_squared_error 0.20969332605073698 root_relative_squared_error 0.20345250704371282 root_relative_squared_error 0.19535058219770896 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 166902.73428300009 usercpu_time_millis 146029.31254300007 usercpu_time_millis 166428.43818999996 usercpu_time_millis 165239.52845899988 usercpu_time_millis 144049.0059120002 usercpu_time_millis 163412.42073299986 usercpu_time_millis 145805.68088799986 usercpu_time_millis 146139.07334299982 usercpu_time_millis 142896.15288399978 usercpu_time_millis 144924.48445200012 usercpu_time_millis_testing 3538.402996000059 usercpu_time_millis_testing 4230.153117999976 usercpu_time_millis_testing 3570.726868999941 usercpu_time_millis_testing 3938.488993999954 usercpu_time_millis_testing 3560.352420000072 usercpu_time_millis_testing 3588.85149799994 usercpu_time_millis_testing 4351.092652000034 usercpu_time_millis_testing 3603.7092349999966 usercpu_time_millis_testing 3554.071156999953 usercpu_time_millis_testing 3564.6069970000553 usercpu_time_millis_training 163364.33128700004 usercpu_time_millis_training 141799.15942500008 usercpu_time_millis_training 162857.711321 usercpu_time_millis_training 161301.03946499992 usercpu_time_millis_training 140488.65349200013 usercpu_time_millis_training 159823.56923499992 usercpu_time_millis_training 141454.58823599984 usercpu_time_millis_training 142535.36410799983 usercpu_time_millis_training 139342.08172699984 usercpu_time_millis_training 141359.87745500007