10329851 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) 8185466 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 0.09788648458625807 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6697798570289542 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.0019999675017863946 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 48020 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 21581399 description https://api.openml.org/data/download/21581399/description.xml -1 21581400 predictions https://api.openml.org/data/download/21581400/predictions.arff area_under_roc_curve 0.9574569040603875 [0.984123,0.907908,0.963778,0.956679,0.944804,0.935095,0.979047,0.976864,0.971896,0.953641] average_cost 0 f_measure 0.923564543970747 [0.981132,0.872483,0.882521,0.935897,0.905063,0.909677,0.939024,0.965517,0.949367,0.89375] kappa 0.9149035108114392 kb_relative_information_score 0.9198563358779182 mean_absolute_error 0.015317011927181384 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9260190719327832 [0.993631,0.928571,0.823529,0.954248,0.910828,0.946309,0.911243,0.974684,0.949367,0.866667] predictive_accuracy 0.9234149403640929 prior_entropy 3.3218194939376526 recall 0.9234149403640929 [0.968944,0.822785,0.950617,0.918239,0.899371,0.875776,0.968553,0.956522,0.949367,0.922581] relative_absolute_error 0.08509592143010325 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.12376191630377005 root_relative_squared_error 0.4125431619376866 total_cost 0 area_under_roc_curve 0.9652777777777779 [0.96875,0.965278,0.923611,0.996528,0.934028,0.96875,0.996528,1,0.934028,0.965278] area_under_roc_curve 0.9792145593869732 [0.96875,0.961806,0.993056,0.96875,1,0.9375,0.96875,1,1,0.993103] area_under_roc_curve 0.9583087171449239 [1,0.90625,0.958333,0.996528,0.895833,0.934183,0.996528,0.934028,0.96875,0.996552] area_under_roc_curve 0.9511217948717947 [0.96875,0.934003,0.95826,0.899257,0.96875,0.902753,0.986014,0.96875,0.96875,0.95625] area_under_roc_curve 0.944030636812327 [0.996503,0.871503,0.930613,0.96875,0.951267,0.934003,0.95826,0.90625,1,0.926389] area_under_roc_curve 0.9684818800135702 [1,0.902753,0.989437,0.934003,0.965253,0.965253,0.96875,0.996503,0.966667,0.996528] area_under_roc_curve 0.9440802253302254 [1,0.902753,0.954764,0.9,0.902753,0.930507,0.996528,0.965253,0.965253,0.920017] area_under_roc_curve 0.9615627428127429 [1,0.896528,0.993007,0.996503,0.965253,0.934003,0.961757,1,0.996503,0.868007] area_under_roc_curve 0.9545697358197359 [0.96875,0.863194,0.98951,0.96875,0.934003,0.9375,0.961757,0.996503,0.993007,0.92701] area_under_roc_curve 0.9475767288267288 [0.96875,0.871503,0.947771,0.934003,0.929861,0.90625,0.996503,1,0.92701,0.993007] 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 0.9379858835029612 [0.967742,0.9375,0.823529,0.969697,0.903226,0.967742,0.969697,1,0.903226,0.9375] f_measure 0.9628232769464091 [0.967742,0.909091,0.941176,0.967742,1,0.933333,0.967742,1,1,0.9375] f_measure 0.9246524411159953 [1,0.896552,0.882353,0.969697,0.8125,0.882353,0.969697,0.903226,0.967742,0.967742] f_measure 0.9128175318277715 [0.967742,0.903226,0.882353,0.83871,0.967742,0.866667,0.888889,0.967742,0.967742,0.875] f_measure 0.8997437185299144 [0.969697,0.827586,0.857143,0.967742,0.833333,0.903226,0.882353,0.896552,1,0.866667] f_measure 0.9430051026877692 [1,0.866667,0.918919,0.903226,0.9375,0.9375,0.967742,0.969697,0.965517,0.967742] f_measure 0.8999816441082418 [1,0.866667,0.857143,0.888889,0.866667,0.875,0.967742,0.9375,0.9375,0.8] f_measure 0.9292033765128178 [1,0.857143,0.941176,0.969697,0.9375,0.903226,0.909091,1,0.969697,0.8] f_measure 0.9176016917522771 [0.967742,0.814815,0.914286,0.967742,0.903226,0.933333,0.909091,0.969697,0.941176,0.848485] f_measure 0.9062432215275614 [0.967742,0.827586,0.810811,0.903226,0.896552,0.896552,0.969697,1,0.848485,0.941176] kappa 0.9305555555555556 kappa 0.9583333333333334 kappa 0.9166630496115283 kappa 0.9021710468489057 kappa 0.8881709086113676 kappa 0.9370906053545522 kappa 0.8881659926147354 kappa 0.9231208791208791 kappa 0.9091388632467361 kappa 0.8951694431014021 kb_relative_information_score 0.9346399065218246 kb_relative_information_score 0.9608289534892738 kb_relative_information_score 0.9216124939664726 kb_relative_information_score 0.9079416829050635 kb_relative_information_score 0.8947389395683035 kb_relative_information_score 0.9407279601481249 kb_relative_information_score 0.8946444494632866 kb_relative_information_score 0.9273709308538048 kb_relative_information_score 0.9143458805796546 kb_relative_information_score 0.9013523418674214 mean_absolute_error 0.012499999999999999 mean_absolute_error 0.0075 mean_absolute_error 0.015 mean_absolute_error 0.017610062893081764 mean_absolute_error 0.020125786163522015 mean_absolute_error 0.011320754716981131 mean_absolute_error 0.020125786163522015 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.016352201257861635 mean_absolute_error 0.01886792452830189 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 0.9401797385620915 [1,0.9375,0.777778,0.941176,0.933333,1,0.941176,1,0.933333,0.9375] precision 0.9660947712418302 [1,0.882353,0.888889,1,1,1,1,1,1,0.882353] precision 0.9277925857843137 [1,1,0.833333,0.941176,0.8125,0.882353,0.941176,0.933333,1,0.9375] precision 0.9191409897292249 [1,0.933333,0.833333,0.866667,1,0.928571,0.8,1,1,0.823529] precision 0.907304324729408 [0.941176,0.923077,0.833333,1,0.75,0.933333,0.833333,1,1,0.866667] precision 0.9456716963514966 [1,0.928571,0.85,0.933333,0.9375,0.9375,1,0.941176,1,0.9375] precision 0.9069046436846834 [1,0.928571,0.789474,1,0.928571,0.875,0.9375,0.9375,0.9375,0.736842] precision 0.9305112530417748 [1,0.923077,0.888889,0.941176,0.9375,0.933333,0.882353,1,0.941176,0.857143] precision 0.9228439052990721 [1,0.916667,0.842105,1,0.933333,1,0.882353,0.941176,0.888889,0.823529] precision 0.9152026622614858 [1,0.923077,0.714286,0.933333,0.928571,1,0.941176,1,0.823529,0.888889] predictive_accuracy 0.9375 predictive_accuracy 0.9625 predictive_accuracy 0.925 predictive_accuracy 0.9119496855345912 predictive_accuracy 0.89937106918239 predictive_accuracy 0.9433962264150944 predictive_accuracy 0.89937106918239 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9182389937106918 predictive_accuracy 0.9056603773584905 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 [0.9375,0.9375,0.875,1,0.875,0.9375,1,1,0.875,0.9375] recall 0.9625 [0.9375,0.9375,1,0.9375,1,0.875,0.9375,1,1,1] recall 0.925 [1,0.8125,0.9375,1,0.8125,0.882353,1,0.875,0.9375,1] recall 0.9119496855345912 [0.9375,0.875,0.9375,0.8125,0.9375,0.8125,1,0.9375,0.9375,0.933333] recall 0.89937106918239 [1,0.75,0.882353,0.9375,0.9375,0.875,0.9375,0.8125,1,0.866667] recall 0.9433962264150944 [1,0.8125,1,0.875,0.9375,0.9375,0.9375,1,0.933333,1] recall 0.89937106918239 [1,0.8125,0.9375,0.8,0.8125,0.875,1,0.9375,0.9375,0.875] recall 0.9308176100628931 [1,0.8,1,1,0.9375,0.875,0.9375,1,1,0.75] recall 0.9182389937106918 [0.9375,0.733333,1,0.9375,0.875,0.875,0.9375,1,1,0.875] recall 0.9056603773584906 [0.9375,0.75,0.9375,0.875,0.866667,0.8125,1,1,0.875,1] relative_absolute_error 0.06944444444444459 relative_absolute_error 0.04166774973356563 relative_absolute_error 0.08333549946713126 relative_absolute_error 0.09783551670771867 relative_absolute_error 0.11181396889890642 relative_absolute_error 0.06289535750563485 relative_absolute_error 0.1118110442178504 relative_absolute_error 0.07686975779029433 relative_absolute_error 0.09084607738852966 relative_absolute_error 0.10482194002327945 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 0.08660254037844387 root_mean_squared_error 0.1224744871391589 root_mean_squared_error 0.13270291214996663 root_mean_squared_error 0.14186538042638175 root_mean_squared_error 0.1063990353197863 root_mean_squared_error 0.14186538042638175 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.12787572583513118 root_mean_squared_error 0.13736056394868904 root_relative_squared_error 0.37267492642360117 root_relative_squared_error 0.28868026033721605 root_relative_squared_error 0.40825553935828673 root_relative_squared_error 0.44234768876472147 root_relative_squared_error 0.47289781707593925 root_relative_squared_error 0.35467336280695444 root_relative_squared_error 0.4728854475619053 root_relative_squared_error 0.3920941902972384 root_relative_squared_error 0.426251323948145 root_relative_squared_error 0.45786537373313124 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 1240.5307109875139 usercpu_time_millis 1213.6004390049493 usercpu_time_millis 1223.0397919920506 usercpu_time_millis 1223.0542930046795 usercpu_time_millis 1230.7257669890532 usercpu_time_millis 1239.6384190069512 usercpu_time_millis 1233.005629008403 usercpu_time_millis 1231.9246949919034 usercpu_time_millis 1236.527102009859 usercpu_time_millis 1228.3051279955544 usercpu_time_millis_testing 86.16397099103779 usercpu_time_millis_testing 87.21986100135837 usercpu_time_millis_testing 86.46675199270248 usercpu_time_millis_testing 88.4062169934623 usercpu_time_millis_testing 85.65318099863362 usercpu_time_millis_testing 87.00725299422629 usercpu_time_millis_testing 85.69517500291113 usercpu_time_millis_testing 86.81144200090785 usercpu_time_millis_testing 88.0378840083722 usercpu_time_millis_testing 85.28406100231223 usercpu_time_millis_training 1154.366739996476 usercpu_time_millis_training 1126.380578003591 usercpu_time_millis_training 1136.573039999348 usercpu_time_millis_training 1134.6480760112172 usercpu_time_millis_training 1145.0725859904196 usercpu_time_millis_training 1152.6311660127249 usercpu_time_millis_training 1147.310454005492 usercpu_time_millis_training 1145.1132529909955 usercpu_time_millis_training 1148.4892180014867 usercpu_time_millis_training 1143.0210669932421 wall_clock_time_millis 1264.6546363830566 wall_clock_time_millis 1489.7265434265137 wall_clock_time_millis 1299.1344928741455 wall_clock_time_millis 1231.1582565307617 wall_clock_time_millis 1254.8441886901855 wall_clock_time_millis 1467.7340984344482 wall_clock_time_millis 1425.135850906372 wall_clock_time_millis 1256.0300827026367 wall_clock_time_millis 1504.6393871307373 wall_clock_time_millis 1456.4001560211182 wall_clock_time_millis_testing 86.18283271789551 wall_clock_time_millis_testing 119.25053596496582 wall_clock_time_millis_testing 86.4870548248291 wall_clock_time_millis_testing 88.4242057800293 wall_clock_time_millis_testing 85.67142486572266 wall_clock_time_millis_testing 87.02683448791504 wall_clock_time_millis_testing 85.71267127990723 wall_clock_time_millis_testing 86.82942390441895 wall_clock_time_millis_testing 184.04436111450195 wall_clock_time_millis_testing 85.30282974243164 wall_clock_time_millis_training 1178.4718036651611 wall_clock_time_millis_training 1370.4760074615479 wall_clock_time_millis_training 1212.6474380493164 wall_clock_time_millis_training 1142.7340507507324 wall_clock_time_millis_training 1169.172763824463 wall_clock_time_millis_training 1380.7072639465332 wall_clock_time_millis_training 1339.4231796264648 wall_clock_time_millis_training 1169.2006587982178 wall_clock_time_millis_training 1320.5950260162354 wall_clock_time_millis_training 1371.0973262786865