10329890 8323 Heinrich Peters 9964 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185505 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 73.15153484301855 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5428573815911459 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.037758991593650544 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 25665 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. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21581477 description https://api.openml.org/data/download/21581477/description.xml -1 21581478 predictions https://api.openml.org/data/download/21581478/predictions.arff area_under_roc_curve 0.9546695350636946 [0.949961,0.881866,0.974552,0.982185,0.97031,0.959278,0.969665,0.962384,0.971171,0.92372] average_cost 0 f_measure 0.9217421753420659 [0.944625,0.858156,0.945122,0.965517,0.934985,0.954839,0.785185,0.958199,0.967532,0.901024] kappa 0.9093221823276995 kb_relative_information_score 0.9145405183479771 mean_absolute_error 0.01632140615191459 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9369714626502924 [0.993151,0.975806,0.933735,0.9625,0.920732,0.993289,0.646341,0.993333,0.993333,0.956522] predictive_accuracy 0.9183929692404269 prior_entropy 3.3218194939376526 recall 0.9183929692404269 [0.900621,0.765823,0.95679,0.968553,0.949686,0.919255,1,0.925466,0.943038,0.851613] relative_absolute_error 0.09067598185174937 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.1277552588033643 root_relative_squared_error 0.4258544146290169 total_cost 0 area_under_roc_curve 0.9652777777777779 [0.96875,0.90625,0.9375,1,0.934028,1,0.972222,1,1,0.934028] area_under_roc_curve 0.9687739463601531 [0.96875,0.902778,0.996528,0.9375,0.996528,0.9375,0.982639,1,1,0.963218] area_under_roc_curve 0.9444201631701631 [0.9375,0.875,0.965278,0.993056,0.958333,0.908268,0.96875,0.9375,0.96875,0.933333] area_under_roc_curve 0.944055944055944 [0.9375,0.84375,0.961757,0.95826,0.965253,0.96875,0.968531,0.965253,0.96875,0.9] area_under_roc_curve 0.9510489510489509 [0.996503,0.875,0.970588,1,0.98951,0.9375,0.965035,0.84375,0.966667,0.966667] area_under_roc_curve 0.9649857185068453 [1,0.90625,0.992958,0.96875,0.996503,0.96875,0.975524,0.96875,0.933333,0.933333] area_under_roc_curve 0.9652049339549341 [0.970588,0.934003,0.96875,0.966667,0.996503,1,0.975694,0.96875,0.9375,0.934003] area_under_roc_curve 0.9545454545454546 [0.9375,0.9,0.996503,0.996503,0.996503,0.96875,0.968531,0.96875,1,0.809003] area_under_roc_curve 0.9545697358197358 [0.9375,0.829861,0.965253,1,0.965253,1,0.968531,0.96875,1,0.902753] area_under_roc_curve 0.9335664335664335 [0.84375,0.84375,0.98951,1,0.9,0.90625,0.951049,1,0.934003,0.965253] 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 0.9404078605858359 [0.967742,0.896552,0.933333,1,0.903226,1,0.8,1,1,0.903226] f_measure 0.9442834073076009 [0.967742,0.866667,0.969697,0.933333,0.969697,0.933333,0.864865,1,1,0.933333] f_measure 0.9033291890221863 [0.933333,0.857143,0.9375,0.941176,0.882353,0.875,0.780488,0.933333,0.967742,0.928571] f_measure 0.9020273718334241 [0.933333,0.814815,0.909091,0.882353,0.9375,0.967742,0.780488,0.9375,0.967742,0.888889] f_measure 0.9149007606608994 [0.969697,0.857143,0.969697,1,0.914286,0.933333,0.761905,0.814815,0.965517,0.965517] f_measure 0.9393238713552687 [1,0.896552,0.944444,0.967742,0.969697,0.967742,0.820513,0.967742,0.928571,0.928571] f_measure 0.9399322129441547 [0.969697,0.903226,0.967742,0.965517,0.969697,1,0.810811,0.967742,0.933333,0.903226] f_measure 0.918990691053495 [0.933333,0.888889,0.969697,0.969697,0.969697,0.967742,0.780488,0.967742,1,0.740741] f_measure 0.9201895432971839 [0.933333,0.769231,0.9375,1,0.9375,1,0.780488,0.967742,1,0.866667] f_measure 0.8865588308680519 [0.814815,0.814815,0.914286,1,0.888889,0.896552,0.695652,1,0.903226,0.9375] kappa 0.9305555555555556 kappa 0.9374945741817866 kappa 0.8888792429898429 kappa 0.8881709086113676 kappa 0.9021495450349466 kappa 0.9300914526908196 kappa 0.9301313881443073 kappa 0.9091388632467361 kappa 0.9091348689994725 kappa 0.867202953975999 kb_relative_information_score 0.9345487478115967 kb_relative_information_score 0.9411145762000095 kb_relative_information_score 0.895400949758536 kb_relative_information_score 0.8945788207948168 kb_relative_information_score 0.907965257924169 kb_relative_information_score 0.9340373126140252 kb_relative_information_score 0.9341044008610535 kb_relative_information_score 0.9141448885742958 kb_relative_information_score 0.9143141111111664 kb_relative_information_score 0.8750251960100422 mean_absolute_error 0.012499999999999999 mean_absolute_error 0.01125 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.020125786163522015 mean_absolute_error 0.017610062893081764 mean_absolute_error 0.012578616352201257 mean_absolute_error 0.012578616352201257 mean_absolute_error 0.016352201257861635 mean_absolute_error 0.016352201257861635 mean_absolute_error 0.0238993710691824 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 0.9533333333333335 [1,1,1,1,0.933333,1,0.666667,1,1,0.933333] precision 0.9510329131652661 [1,0.928571,0.941176,1,0.941176,1,0.761905,1,1,0.933333] precision 0.9228888888888889 [1,1,0.9375,0.888889,0.833333,0.933333,0.64,1,1,1] precision 0.9225847823406091 [1,1,0.882353,0.833333,0.9375,1,0.64,0.9375,1,1] precision 0.939488437648377 [0.941176,1,1,1,0.842105,1,0.615385,1,1,1] precision 0.9521999033195594 [1,1,0.894737,1,0.941176,1,0.695652,1,1,1] precision 0.9506463076940325 [1,0.933333,1,1,0.941176,1,0.681818,1,1,0.933333] precision 0.9368674536710053 [1,1,0.941176,0.941176,0.941176,1,0.64,1,1,0.909091] precision 0.9354308584497264 [1,0.909091,0.9375,1,0.9375,1,0.64,1,1,0.928571] precision 0.924153150171025 [1,1,0.842105,1,1,1,0.533333,1,0.933333,0.9375] predictive_accuracy 0.9375 predictive_accuracy 0.94375 predictive_accuracy 0.9 predictive_accuracy 0.89937106918239 predictive_accuracy 0.9119496855345912 predictive_accuracy 0.9371069182389937 predictive_accuracy 0.9371069182389937 predictive_accuracy 0.9182389937106918 predictive_accuracy 0.9182389937106918 predictive_accuracy 0.8805031446540881 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 recall 0.9375 [0.9375,0.8125,0.875,1,0.875,1,1,1,1,0.875] recall 0.94375 [0.9375,0.8125,1,0.875,1,0.875,1,1,1,0.933333] recall 0.9 [0.875,0.75,0.9375,1,0.9375,0.823529,1,0.875,0.9375,0.866667] recall 0.89937106918239 [0.875,0.6875,0.9375,0.9375,0.9375,0.9375,1,0.9375,0.9375,0.8] recall 0.9119496855345912 [1,0.75,0.941176,1,1,0.875,1,0.6875,0.933333,0.933333] recall 0.9371069182389937 [1,0.8125,1,0.9375,1,0.9375,1,0.9375,0.866667,0.866667] recall 0.9371069182389937 [0.941176,0.875,0.9375,0.933333,1,1,1,0.9375,0.875,0.875] recall 0.9182389937106918 [0.875,0.8,1,1,1,0.9375,1,0.9375,1,0.625] recall 0.9182389937106918 [0.875,0.666667,0.9375,1,0.9375,1,1,0.9375,1,0.8125] recall 0.8805031446540881 [0.6875,0.6875,1,1,0.8,0.8125,1,1,0.875,0.9375] relative_absolute_error 0.06944444444444459 relative_absolute_error 0.06250162460034844 relative_absolute_error 0.11111399928950837 relative_absolute_error 0.11181201909453564 relative_absolute_error 0.09783722278654311 relative_absolute_error 0.0698837305618165 relative_absolute_error 0.06988190263615648 relative_absolute_error 0.09084607738852966 relative_absolute_error 0.09084607738852966 relative_absolute_error 0.13277445736282067 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 0.11180339887498948 root_mean_squared_error 0.10606601717798213 root_mean_squared_error 0.14142135623730953 root_mean_squared_error 0.14186538042638175 root_mean_squared_error 0.13270291214996663 root_mean_squared_error 0.11215443081840885 root_mean_squared_error 0.11215443081840885 root_mean_squared_error 0.12787572583513118 root_mean_squared_error 0.12787572583513118 root_mean_squared_error 0.1545942142163878 root_relative_squared_error 0.37267492642360117 root_relative_squared_error 0.3535596683199941 root_relative_squared_error 0.4714128910933255 root_relative_squared_error 0.47288957062540016 root_relative_squared_error 0.44235540261286505 root_relative_squared_error 0.37385855062040885 root_relative_squared_error 0.3738487716609346 root_relative_squared_error 0.426251323948145 root_relative_squared_error 0.426251323948145 root_relative_squared_error 0.5153104765615787 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 1704.7507079987554 usercpu_time_millis 1725.9975750057492 usercpu_time_millis 1720.282660011435 usercpu_time_millis 1764.886293982272 usercpu_time_millis 1741.2449850089615 usercpu_time_millis 1724.8203690105584 usercpu_time_millis 1727.8624719911022 usercpu_time_millis 1727.9776469949866 usercpu_time_millis 1733.1994730047882 usercpu_time_millis 1736.0534640029073 usercpu_time_millis_testing 89.77249400049914 usercpu_time_millis_testing 88.79677799995989 usercpu_time_millis_testing 93.53979500883725 usercpu_time_millis_testing 88.49843598727603 usercpu_time_millis_testing 90.57391299575102 usercpu_time_millis_testing 93.18931199959479 usercpu_time_millis_testing 88.73662799305748 usercpu_time_millis_testing 90.32742999261245 usercpu_time_millis_testing 91.52408500085585 usercpu_time_millis_testing 88.40062000672333 usercpu_time_millis_training 1614.9782139982563 usercpu_time_millis_training 1637.2007970057894 usercpu_time_millis_training 1626.7428650025977 usercpu_time_millis_training 1676.387857994996 usercpu_time_millis_training 1650.6710720132105 usercpu_time_millis_training 1631.6310570109636 usercpu_time_millis_training 1639.1258439980447 usercpu_time_millis_training 1637.6502170023741 usercpu_time_millis_training 1641.6753880039323 usercpu_time_millis_training 1647.652843996184 wall_clock_time_millis 1804.168701171875 wall_clock_time_millis 1986.2298965454102 wall_clock_time_millis 2005.7950019836426 wall_clock_time_millis 1885.025978088379 wall_clock_time_millis 1921.379566192627 wall_clock_time_millis 1872.9896545410156 wall_clock_time_millis 1932.0833683013916 wall_clock_time_millis 1744.5333003997803 wall_clock_time_millis 1906.0420989990234 wall_clock_time_millis 1852.1981239318848 wall_clock_time_millis_testing 89.79058265686035 wall_clock_time_millis_testing 104.8126220703125 wall_clock_time_millis_testing 177.55413055419922 wall_clock_time_millis_testing 88.5171890258789 wall_clock_time_millis_testing 90.59333801269531 wall_clock_time_millis_testing 125.19288063049316 wall_clock_time_millis_testing 88.75274658203125 wall_clock_time_millis_testing 90.38257598876953 wall_clock_time_millis_testing 91.54248237609863 wall_clock_time_millis_testing 88.41991424560547 wall_clock_time_millis_training 1714.3781185150146 wall_clock_time_millis_training 1881.4172744750977 wall_clock_time_millis_training 1828.2408714294434 wall_clock_time_millis_training 1796.5087890625 wall_clock_time_millis_training 1830.7862281799316 wall_clock_time_millis_training 1747.7967739105225 wall_clock_time_millis_training 1843.3306217193604 wall_clock_time_millis_training 1654.1507244110107 wall_clock_time_millis_training 1814.4996166229248 wall_clock_time_millis_training 1763.7782096862793