10558273 8323 Heinrich Peters 9964 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275914 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 1000 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 22041509 description https://api.openml.org/data/download/22041509/description.xml -1 22041510 predictions https://api.openml.org/data/download/22041510/predictions.arff area_under_roc_curve 0.9885605445446766 [0.996313,0.979222,0.990432,0.991316,0.989882,0.989785,0.992105,0.997259,0.991571,0.966876] average_cost 0 f_measure 0.895548181763729 [0.965944,0.826498,0.887574,0.924051,0.895238,0.911392,0.901235,0.93578,0.906149,0.797342] kappa 0.8842094754181916 kb_relative_information_score 0.887518290836182 mean_absolute_error 0.02626666553879775 mean_prior_absolute_error 0.17999701595290427 weighted_recall 0.8957940991839297 [0.968944,0.829114,0.925926,0.918239,0.886792,0.89441,0.918239,0.950311,0.886076,0.774194] number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.8960431424737272 [0.962963,0.823899,0.852273,0.929936,0.903846,0.929032,0.884848,0.921687,0.927152,0.821918] predictive_accuracy 0.8957940991839297 prior_entropy 3.3218194939376526 relative_absolute_error 0.14592833886574183 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.13876984196243425 root_relative_squared_error 0.4625699980619303 total_cost 0 unweighted_recall 0.8952244384255608 [0.968944,0.829114,0.925926,0.918239,0.886792,0.89441,0.918239,0.950311,0.886076,0.774194] area_under_roc_curve 0.9874131944444443 [0.994358,0.971788,0.983507,0.99783,0.977865,1,0.988715,0.99783,0.990885,0.971354] area_under_roc_curve 0.983270453205798 [0.995226,0.993924,0.988281,0.990451,0.999132,0.934896,0.974826,0.997943,0.994792,0.96092] area_under_roc_curve 0.9885206508051336 [0.999566,0.982639,0.979167,0.996962,0.986111,0.99383,0.999566,0.998698,0.987847,0.958621] area_under_roc_curve 0.9889781340253039 [0.97465,0.995192,0.993444,0.989948,0.979895,0.989948,0.997378,0.999563,0.995192,0.973611] area_under_roc_curve 0.9880138346953389 [0.999126,0.963287,0.992958,0.998252,0.990385,0.997378,0.987325,0.98951,0.994907,0.965741] area_under_roc_curve 0.983734183209336 [1,0.940997,0.989229,0.951049,0.993881,0.993881,0.993007,0.998689,0.997222,0.97963] area_under_roc_curve 0.9908568021775569 [1,0.983829,0.993444,0.995833,0.993881,0.997378,0.996759,0.998689,0.98514,0.963724] area_under_roc_curve 0.992965455229606 [1,0.996296,0.995192,0.995629,0.998252,0.998689,0.999563,0.999126,0.991259,0.955857] area_under_roc_curve 0.9915250717137509 [1,0.97963,0.995192,1,0.986014,0.999563,0.994755,0.994318,0.999563,0.965472] area_under_roc_curve 0.9891033582071318 [0.998252,0.972902,0.996503,0.999563,0.983796,0.983829,0.990385,1,0.986451,0.979021] 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 0.880868942885072 [0.9375,0.787879,0.875,0.969697,0.866667,0.967742,0.8125,0.914286,0.83871,0.83871] f_measure 0.900661878008358 [0.882353,0.909091,0.833333,0.903226,0.9375,0.896552,0.903226,0.971429,0.933333,0.827586] f_measure 0.8995438013915245 [0.967742,0.833333,0.882353,0.941176,0.875,0.882353,0.9375,0.9375,0.933333,0.8] f_measure 0.906135299292328 [0.967742,0.866667,0.903226,0.896552,0.909091,0.857143,0.941176,0.967742,0.909091,0.83871] f_measure 0.8634149543558073 [0.969697,0.709677,0.864865,0.969697,0.888889,0.903226,0.823529,0.896552,0.933333,0.666667] f_measure 0.8879510748580957 [1,0.709677,0.909091,0.823529,0.9375,0.9375,0.903226,0.9375,0.928571,0.787879] f_measure 0.8946891801963228 [1,0.823529,0.875,0.928571,0.866667,0.903226,0.903226,0.967742,0.875,0.8] f_measure 0.9298841284265958 [1,0.896552,0.909091,0.941176,0.9375,0.967742,0.969697,0.9375,0.9375,0.8] f_measure 0.9174251916996043 [1,0.896552,0.941176,0.896552,0.933333,0.969697,0.967742,0.864865,0.969697,0.733333] f_measure 0.8726901662259606 [0.9375,0.83871,0.888889,0.967742,0.785714,0.827586,0.857143,0.969697,0.8,0.848485] kappa 0.8680555555555556 kappa 0.8888695954158707 kappa 0.8888551209134721 kappa 0.8951786577594164 kappa 0.8531726836990459 kappa 0.8742088607594937 kappa 0.881181590399578 kappa 0.9231242582743616 kappa 0.9091468506878819 kappa 0.8602197802197803 kb_relative_information_score 0.8742730805903921 kb_relative_information_score 0.8818475175259597 kb_relative_information_score 0.8849060845674199 kb_relative_information_score 0.895972591850273 kb_relative_information_score 0.8664580532287346 kb_relative_information_score 0.8899057050087228 kb_relative_information_score 0.89633194147776 kb_relative_information_score 0.9248525281102639 kb_relative_information_score 0.9014906521433117 kb_relative_information_score 0.8592786077146373 mean_absolute_error 0.028278660455000153 mean_absolute_error 0.0286444471565727 mean_absolute_error 0.026401339474455693 mean_absolute_error 0.024763419162110566 mean_absolute_error 0.030610287341959027 mean_absolute_error 0.026448579077343888 mean_absolute_error 0.024799494677218533 mean_absolute_error 0.01816109323792856 mean_absolute_error 0.022927087710891744 mean_absolute_error 0.03160379143116564 mean_prior_absolute_error 0.17999999999999963 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999662582343604 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999819520788427 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.1799997645923324 number_of_instances 160 [16,16,16,16,16,16,16,16,16,16] number_of_instances 160 [16,16,16,16,16,16,16,17,16,15] number_of_instances 160 [16,16,16,16,16,17,16,16,16,15] number_of_instances 159 [16,16,16,16,16,16,16,16,16,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [17,16,16,15,16,16,15,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,16,16,16,15,16,16,16,16,16] precision 0.8834892378003835 [0.9375,0.764706,0.875,0.941176,0.928571,1,0.8125,0.842105,0.866667,0.866667] precision 0.9076896591970123 [0.833333,0.882353,0.75,0.933333,0.9375,1,0.933333,0.944444,1,0.857143] precision 0.9097222222222221 [1,0.75,0.833333,0.888889,0.875,0.882353,0.9375,0.9375,1,1] precision 0.9123715187277605 [1,0.928571,0.933333,1,0.882353,0.789474,0.888889,1,0.882353,0.8125] precision 0.8739754182595469 [0.941176,0.733333,0.8,0.941176,0.8,0.933333,0.777778,1,0.933333,0.888889] precision 0.8923392732354998 [1,0.733333,0.9375,0.777778,0.9375,0.9375,0.933333,0.9375,1,0.722222] precision 0.9003106560951645 [1,0.777778,0.875,1,0.928571,0.933333,0.875,1,0.875,0.736842] precision 0.9310789305239916 [1,0.928571,0.882353,0.888889,0.9375,1,0.941176,0.9375,0.9375,0.857143] precision 0.924719153908943 [1,0.928571,0.888889,1,1,0.941176,1,0.761905,0.941176,0.785714] precision 0.8786752447012978 [0.9375,0.866667,0.8,1,0.846154,0.923077,0.789474,0.941176,0.857143,0.823529] predictive_accuracy 0.88125 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.9056603773584905 predictive_accuracy 0.8679245283018868 predictive_accuracy 0.8867924528301887 predictive_accuracy 0.8930817610062892 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9182389937106918 predictive_accuracy 0.8742138364779874 prior_entropy 3.322035652456755 prior_entropy 3.321695353806615 prior_entropy 3.321695353806615 prior_entropy 3.3217896094452106 prior_entropy 3.3215641679424013 prior_entropy 3.3215641679424013 prior_entropy 3.321906615533436 prior_entropy 3.321962444265476 prior_entropy 3.321962444265476 prior_entropy 3.3220193319359352 relative_absolute_error 0.1571036691944456 relative_absolute_error 0.15913995405018894 relative_absolute_error 0.14667792078033692 relative_absolute_error 0.1375771298424323 relative_absolute_error 0.17006330530550712 relative_absolute_error 0.14694186723172784 relative_absolute_error 0.13777635186051168 relative_absolute_error 0.10089553423028942 relative_absolute_error 0.1273734313584182 relative_absolute_error 0.17557684868501147 root_mean_prior_squared_error 0.3000024711829099 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999968475489186 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.29999946320574855 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000207883977315 root_mean_squared_error 0.14768757320700643 root_mean_squared_error 0.14143391302446381 root_mean_squared_error 0.1433426970025616 root_mean_squared_error 0.1317066671414155 root_mean_squared_error 0.15314010372919398 root_mean_squared_error 0.13625395620404282 root_mean_squared_error 0.13275005520942748 root_mean_squared_error 0.11365491966315737 root_mean_squared_error 0.1274242291760968 root_mean_squared_error 0.15504478561034185 root_relative_squared_error 0.49228785557890326 root_relative_squared_error 0.4714547477937047 root_relative_squared_error 0.47781747402918057 root_relative_squared_error 0.439026837173477 root_relative_squared_error 0.5104812783968776 root_relative_squared_error 0.45419254692859573 root_relative_squared_error 0.4425009758046919 root_relative_squared_error 0.3788487585368723 root_relative_squared_error 0.424746338952637 root_relative_squared_error 0.5168123708007673 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 unweighted_recall 0.88125 [0.9375,0.8125,0.875,1,0.8125,0.9375,0.8125,1,0.8125,0.8125] unweighted_recall 0.89875 [0.9375,0.9375,0.9375,0.875,0.9375,0.8125,0.875,1,0.875,0.8] unweighted_recall 0.8986519607843138 [0.9375,0.9375,0.9375,1,0.875,0.882353,0.9375,0.9375,0.875,0.666667] unweighted_recall 0.9054166666666668 [0.9375,0.8125,0.875,0.8125,0.9375,0.9375,1,0.9375,0.9375,0.866667] unweighted_recall 0.8657843137254903 [1,0.6875,0.941176,1,1,0.875,0.875,0.8125,0.933333,0.533333] unweighted_recall 0.8865686274509805 [1,0.6875,0.882353,0.875,0.9375,0.9375,0.875,0.9375,0.866667,0.866667] unweighted_recall 0.8925000000000001 [1,0.875,0.875,0.866667,0.8125,0.875,0.933333,0.9375,0.875,0.875] unweighted_recall 0.9304166666666667 [1,0.866667,0.9375,1,0.9375,0.9375,1,0.9375,0.9375,0.75] unweighted_recall 0.9179166666666667 [1,0.866667,1,0.8125,0.875,1,0.9375,1,1,0.6875] unweighted_recall 0.8733333333333334 [0.9375,0.8125,1,0.9375,0.733333,0.75,0.9375,1,0.75,0.875] usercpu_time_millis 1294.4080000015674 usercpu_time_millis 1293.1860000026063 usercpu_time_millis 1320.2240000027814 usercpu_time_millis 1477.5040000022273 usercpu_time_millis 1316.2540000048466 usercpu_time_millis 1327.050000007148 usercpu_time_millis 1329.569999994419 usercpu_time_millis 1332.4540000030538 usercpu_time_millis 1361.0899999985122 usercpu_time_millis 1280.0639999913983 usercpu_time_millis_testing 4.147999999986496 usercpu_time_millis_testing 2.8800000000046566 usercpu_time_millis_testing 2.8359999996609986 usercpu_time_millis_testing 3.506000000925269 usercpu_time_millis_testing 2.846000003046356 usercpu_time_millis_testing 2.824000002874527 usercpu_time_millis_testing 3.7699999957112595 usercpu_time_millis_testing 2.864000001864042 usercpu_time_millis_testing 2.846000003046356 usercpu_time_millis_testing 2.9119999962858856 usercpu_time_millis_training 1290.260000001581 usercpu_time_millis_training 1290.3060000026016 usercpu_time_millis_training 1317.3880000031204 usercpu_time_millis_training 1473.998000001302 usercpu_time_millis_training 1313.4080000018002 usercpu_time_millis_training 1324.2260000042734 usercpu_time_millis_training 1325.7999999987078 usercpu_time_millis_training 1329.5900000011898 usercpu_time_millis_training 1358.2439999954659 usercpu_time_millis_training 1277.1519999951124 wall_clock_time_millis 358.3083152770996 wall_clock_time_millis 349.5831489562988 wall_clock_time_millis 346.1768627166748 wall_clock_time_millis 411.271333694458 wall_clock_time_millis 353.5633087158203 wall_clock_time_millis 351.25088691711426 wall_clock_time_millis 358.03914070129395 wall_clock_time_millis 349.69592094421387 wall_clock_time_millis 357.1798801422119 wall_clock_time_millis 334.98692512512207 wall_clock_time_millis_testing 1.196146011352539 wall_clock_time_millis_testing 0.7290840148925781 wall_clock_time_millis_testing 0.7159709930419922 wall_clock_time_millis_testing 1.2962818145751953 wall_clock_time_millis_testing 0.713348388671875 wall_clock_time_millis_testing 0.7138252258300781 wall_clock_time_millis_testing 0.9632110595703125 wall_clock_time_millis_testing 0.7176399230957031 wall_clock_time_millis_testing 0.7188320159912109 wall_clock_time_millis_testing 0.74005126953125 wall_clock_time_millis_training 357.11216926574707 wall_clock_time_millis_training 348.85406494140625 wall_clock_time_millis_training 345.4608917236328 wall_clock_time_millis_training 409.9750518798828 wall_clock_time_millis_training 352.84996032714844 wall_clock_time_millis_training 350.5370616912842 wall_clock_time_millis_training 357.07592964172363 wall_clock_time_millis_training 348.97828102111816 wall_clock_time_millis_training 356.4610481262207 wall_clock_time_millis_training 334.2468738555908 weighted_recall 0.88125 [0.9375,0.8125,0.875,1,0.8125,0.9375,0.8125,1,0.8125,0.8125] weighted_recall 0.9 [0.9375,0.9375,0.9375,0.875,0.9375,0.8125,0.875,1,0.875,0.8] weighted_recall 0.9 [0.9375,0.9375,0.9375,1,0.875,0.882353,0.9375,0.9375,0.875,0.666667] weighted_recall 0.9056603773584906 [0.9375,0.8125,0.875,0.8125,0.9375,0.9375,1,0.9375,0.9375,0.866667] weighted_recall 0.8679245283018868 [1,0.6875,0.941176,1,1,0.875,0.875,0.8125,0.933333,0.533333] weighted_recall 0.8867924528301887 [1,0.6875,0.882353,0.875,0.9375,0.9375,0.875,0.9375,0.866667,0.866667] weighted_recall 0.8930817610062893 [1,0.875,0.875,0.866667,0.8125,0.875,0.933333,0.9375,0.875,0.875] weighted_recall 0.9308176100628931 [1,0.866667,0.9375,1,0.9375,0.9375,1,0.9375,0.9375,0.75] weighted_recall 0.9182389937106918 [1,0.866667,1,0.8125,0.875,1,0.9375,1,1,0.6875] weighted_recall 0.8742138364779874 [0.9375,0.8125,1,0.9375,0.733333,0.75,0.9375,1,0.75,0.875]