10329922 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) 8185537 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 2.9730025655433314 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.8251983202710911 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.06138708630860011 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 21370 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 21581541 description https://api.openml.org/data/download/21581541/description.xml -1 21581542 predictions https://api.openml.org/data/download/21581542/predictions.arff area_under_roc_curve 0.5280134804352155 [0.642857,0.5,0.544316,0.5,0.5,0.528794,0.506289,0.545406,0.503165,0.506452] average_cost 0 kappa 0.05605900116449668 kb_relative_information_score 0.11230820224015826 mean_absolute_error 0.16961707470181622 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] predictive_accuracy 0.15191462649089768 prior_entropy 3.3218194939376526 recall 0.15191462649089768 [0.285714,0,0.858025,0,0,0.149068,0.012579,0.173913,0.006329,0.012903] relative_absolute_error 0.9423327037054663 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.41184593563833577 root_relative_squared_error 1.3728312359223578 total_cost 0 area_under_roc_curve 0.517361111111111 [0.59375,0.5,0.517361,0.5,0.5,0.53125,0.5,0.53125,0.5,0.5] area_under_roc_curve 0.5277777777777778 [0.65625,0.5,0.527778,0.5,0.5,0.5,0.53125,0.529412,0.5,0.533333] area_under_roc_curve 0.517361111111111 [0.59375,0.5,0.517361,0.5,0.5,0.5,0.5,0.53125,0.5,0.533333] area_under_roc_curve 0.527972027972028 [0.6875,0.5,0.527972,0.5,0.5,0.5,0.5,0.5625,0.5,0.5] area_under_roc_curve 0.583916083916084 [0.84375,0.5,0.676471,0.5,0.5,0.6875,0.5,0.583916,0.533333,0.5] area_under_roc_curve 0.541958041958042 [0.625,0.5,0.647059,0.5,0.5,0.541958,0.5,0.59375,0.5,0.5] area_under_roc_curve 0.513986013986014 [0.529412,0.5,0.513986,0.5,0.5,0.53125,0.5,0.5625,0.5,0.5] area_under_roc_curve 0.527972027972028 [0.6875,0.5,0.527972,0.5,0.5,0.5,0.53125,0.53125,0.5,0.5] area_under_roc_curve 0.5104895104895104 [0.59375,0.5,0.51049,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5174825174825175 [0.625,0.5,0.517483,0.5,0.5,0.5,0.5,0.53125,0.5,0.5] 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 kappa 0.034722222222222224 kappa 0.05555555555555554 kappa 0.03476411614079251 kappa 0.05594405594405593 kappa 0.16764912898117193 kappa 0.0837145873658279 kappa 0.027929275158339206 kappa 0.05594405594405593 kappa 0.020979020979020973 kappa 0.034965034965034954 kb_relative_information_score 0.09072362109503951 kb_relative_information_score 0.1103757801101946 kb_relative_information_score 0.09081280430268453 kb_relative_information_score 0.11123594860048895 kb_relative_information_score 0.2162658830315621 kb_relative_information_score 0.1376088371868928 kb_relative_information_score 0.08502964513869704 kb_relative_information_score 0.11126597229770777 kb_relative_information_score 0.0784786828443269 kb_relative_information_score 0.09158186557122265 mean_absolute_error 0.17374999999999957 mean_absolute_error 0.1699999999999996 mean_absolute_error 0.17374999999999957 mean_absolute_error 0.16981132075471658 mean_absolute_error 0.14968553459119463 mean_absolute_error 0.16477987421383608 mean_absolute_error 0.17484276729559706 mean_absolute_error 0.16981132075471658 mean_absolute_error 0.17610062893081718 mean_absolute_error 0.17358490566037693 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] predictive_accuracy 0.13125 predictive_accuracy 0.15 predictive_accuracy 0.13125 predictive_accuracy 0.1509433962264151 predictive_accuracy 0.25157232704402516 predictive_accuracy 0.1761006289308176 predictive_accuracy 0.12578616352201258 predictive_accuracy 0.1509433962264151 predictive_accuracy 0.11949685534591195 predictive_accuracy 0.1320754716981132 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 0.13125 [0.1875,0,1,0,0,0.0625,0,0.0625,0,0] recall 0.15 [0.3125,0,1,0,0,0,0.0625,0.058824,0,0.066667] recall 0.13125 [0.1875,0,1,0,0,0,0,0.0625,0,0.066667] recall 0.1509433962264151 [0.375,0,1,0,0,0,0,0.125,0,0] recall 0.25157232704402516 [0.6875,0,0.352941,0,0,0.375,0,1,0.066667,0] recall 0.1761006289308176 [0.25,0,0.294118,0,0,1,0,0.1875,0,0] recall 0.12578616352201258 [0.058824,0,1,0,0,0.0625,0,0.125,0,0] recall 0.1509433962264151 [0.375,0,1,0,0,0,0.0625,0.0625,0,0] recall 0.11949685534591195 [0.1875,0,1,0,0,0,0,0,0,0] recall 0.1320754716981132 [0.25,0,1,0,0,0,0,0.0625,0,0] relative_absolute_error 0.9652777777777775 relative_absolute_error 0.9444689939608187 relative_absolute_error 0.9653028688276014 relative_absolute_error 0.9434139111101422 relative_absolute_error 0.8316163936856146 relative_absolute_error 0.9154768703597941 relative_absolute_error 0.9713584466425729 relative_absolute_error 0.9434015728808828 relative_absolute_error 0.9783423718764709 relative_absolute_error 0.9643618482141686 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 0.41683330001332614 root_mean_squared_error 0.41231056256176557 root_mean_squared_error 0.41683330001332614 root_mean_squared_error 0.4120816918460666 root_mean_squared_error 0.38689214852616827 root_mean_squared_error 0.40593087368890296 root_mean_squared_error 0.41814204200916827 root_mean_squared_error 0.4120816918460666 root_mean_squared_error 0.41964345453112595 root_mean_squared_error 0.41663521893903416 root_relative_squared_error 1.3894328882350608 root_relative_squared_error 1.3743929452875618 root_relative_squared_error 1.3894690044799127 root_relative_squared_error 1.3736200737205115 root_relative_squared_error 1.2896765365302694 root_relative_squared_error 1.3531407273166756 root_relative_squared_error 1.3938093006599614 root_relative_squared_error 1.3736021092122015 root_relative_squared_error 1.3988079200479802 root_relative_squared_error 1.3887744396649768 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 1931.5040500077885 usercpu_time_millis 1936.588287979248 usercpu_time_millis 1938.5833999986062 usercpu_time_millis 1932.0227459975285 usercpu_time_millis 1934.6285089995945 usercpu_time_millis 1929.8761859972728 usercpu_time_millis 1938.5574010084383 usercpu_time_millis 1935.7973119913368 usercpu_time_millis 1935.2710600069258 usercpu_time_millis 1943.9571530092508 usercpu_time_millis_testing 105.84140999708325 usercpu_time_millis_testing 105.5592389893718 usercpu_time_millis_testing 105.74112700123806 usercpu_time_millis_testing 105.63753099995665 usercpu_time_millis_testing 105.360802001087 usercpu_time_millis_testing 105.84958399704192 usercpu_time_millis_testing 105.98787500930484 usercpu_time_millis_testing 105.24336800153833 usercpu_time_millis_testing 105.0976830010768 usercpu_time_millis_testing 105.696270999033 usercpu_time_millis_training 1825.6626400107052 usercpu_time_millis_training 1831.0290489898762 usercpu_time_millis_training 1832.8422729973681 usercpu_time_millis_training 1826.385214997572 usercpu_time_millis_training 1829.2677069985075 usercpu_time_millis_training 1824.026602000231 usercpu_time_millis_training 1832.5695259991335 usercpu_time_millis_training 1830.5539439897984 usercpu_time_millis_training 1830.173377005849 usercpu_time_millis_training 1838.2608820102178 wall_clock_time_millis 1963.6683464050293 wall_clock_time_millis 1952.7390003204346 wall_clock_time_millis 1970.7469940185547 wall_clock_time_millis 1992.2688007354736 wall_clock_time_millis 1998.978853225708 wall_clock_time_millis 2066.0464763641357 wall_clock_time_millis 1970.7388877868652 wall_clock_time_millis 1999.9570846557617 wall_clock_time_millis 1999.462604522705 wall_clock_time_millis 2008.120059967041 wall_clock_time_millis_testing 105.86047172546387 wall_clock_time_millis_testing 105.57818412780762 wall_clock_time_millis_testing 105.75985908508301 wall_clock_time_millis_testing 105.67784309387207 wall_clock_time_millis_testing 105.38053512573242 wall_clock_time_millis_testing 105.86905479431152 wall_clock_time_millis_testing 106.02521896362305 wall_clock_time_millis_testing 105.26227951049805 wall_clock_time_millis_testing 105.1187515258789 wall_clock_time_millis_testing 105.7288646697998 wall_clock_time_millis_training 1857.8078746795654 wall_clock_time_millis_training 1847.160816192627 wall_clock_time_millis_training 1864.9871349334717 wall_clock_time_millis_training 1886.5909576416016 wall_clock_time_millis_training 1893.5983180999756 wall_clock_time_millis_training 1960.1774215698242 wall_clock_time_millis_training 1864.7136688232422 wall_clock_time_millis_training 1894.6948051452637 wall_clock_time_millis_training 1894.3438529968262 wall_clock_time_millis_training 1902.3911952972412