10431976 8323 Heinrich Peters 3904 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8255712 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 170.5572031055097 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7430320055311159 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.049727598083142026 13389 kernel "poly" 13389 max_iter -1 13389 probability true 13389 random_state 1 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. 1053 jm1 https://www.openml.org/data/download/53936/jm1.arff -1 21786480 description https://api.openml.org/data/download/21786480/description.xml -1 21786481 predictions https://api.openml.org/data/download/21786481/predictions.arff area_under_roc_curve 0.6168200424759638 [0.61682,0.61682] average_cost 0 f_measure 0.7215910611649006 [0.893106,0.006619] kappa 0.004980972087943507 kb_relative_information_score 0.00485431153668886 mean_absolute_error 0.31085371830648784 mean_prior_absolute_error 0.31212214303703906 weighted_recall 0.8069820854386771 [0.999772,0.003324] number_of_instances 10885 [8779,2106] precision 0.8013512070675015 [0.807006,0.777778] predictive_accuracy 0.8069820854386771 prior_entropy 0.7086892261862012 relative_absolute_error 0.9959361270616397 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.39402446890808307 root_relative_squared_error 0.9974701623602772 total_cost 0 unweighted_recall 0.5015480101385862 [0.999772,0.003324] area_under_roc_curve 0.6188207796694339 [0.618821,0.618821] area_under_roc_curve 0.6335704800872297 [0.63357,0.63357] area_under_roc_curve 0.6604141251659847 [0.660414,0.660414] area_under_roc_curve 0.6139896792581158 [0.61399,0.61399] area_under_roc_curve 0.5826927851968606 [0.582693,0.582693] area_under_roc_curve 0.6387758976027769 [0.638776,0.638776] area_under_roc_curve 0.6583604512420003 [0.65836,0.65836] area_under_roc_curve 0.6299734244495064 [0.629973,0.629973] area_under_roc_curve 0.6656633040459919 [0.665663,0.665663] area_under_roc_curve 0.6270352937361859 [0.627035,0.627035] 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 0.7219524631453669 [0.893184,0.009434] f_measure 0.7258108217911083 [0.89353,0.027907] f_measure 0.7219524631453669 [0.893184,0.009434] f_measure 0.7219524631453669 [0.893184,0.009434] f_measure 0.7229827937469985 [0.893639,0.009479] f_measure 0.7203319113905104 [0.892621,0] kappa 0.007620006422328899 kappa 0 kappa 0.020847763146007652 kappa 0.007620006422328899 kappa 0.007620006422328899 kappa 0 kappa 0.0076631696545462515 kappa -0.001832876568855184 kappa 0 kappa 0 kb_relative_information_score 0.014140279288369329 kb_relative_information_score 0.0018148524958152162 kb_relative_information_score 0.01213761832746093 kb_relative_information_score 0.0044981391159623916 kb_relative_information_score 0.0034353524641541444 kb_relative_information_score 0.00257107893442701 kb_relative_information_score 0.00561608036913393 kb_relative_information_score -0.00028204333036320386 kb_relative_information_score 0.0034099483582043623 kb_relative_information_score 0.0011754774008170543 mean_absolute_error 0.30939955048949275 mean_absolute_error 0.3118580440707537 mean_absolute_error 0.30914792256313606 mean_absolute_error 0.31090679682565786 mean_absolute_error 0.31112352286819583 mean_absolute_error 0.31107191149790436 mean_absolute_error 0.3102945616000889 mean_absolute_error 0.31178866592499277 mean_absolute_error 0.310960750105306 mean_absolute_error 0.3119871416365575 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3124019844228689 number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [877,211] precision 0.8443830011343381 [0.806985,1] precision 0.7969999534515663 [0.808295,0.75] precision 0.8443830011343381 [0.806985,1] precision 0.8443830011343381 [0.806985,1] precision 0.8448390740840954 [0.807728,1] precision 0.6510819714270253 [0.806808,0] predictive_accuracy 0.8071625344352618 predictive_accuracy 0.8062442607897153 predictive_accuracy 0.8080808080808081 predictive_accuracy 0.8071625344352618 predictive_accuracy 0.8071625344352618 predictive_accuracy 0.8069852941176471 predictive_accuracy 0.807904411764706 predictive_accuracy 0.8060661764705883 predictive_accuracy 0.8069852941176471 predictive_accuracy 0.8060661764705883 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7096292997655923 relative_absolute_error 0.9907353614340693 relative_absolute_error 0.9986077598359429 relative_absolute_error 0.989929617908678 relative_absolute_error 0.9955617493239941 relative_absolute_error 0.9962557327307132 relative_absolute_error 0.9975413067708803 relative_absolute_error 0.9950485113617701 relative_absolute_error 0.9998397854229343 relative_absolute_error 0.9971848358818787 relative_absolute_error 0.9986720865839641 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.3953778646078222 root_mean_squared_error 0.39235852777981395 root_mean_squared_error 0.3949519185393263 root_mean_squared_error 0.39257007186004766 root_mean_squared_error 0.3941366448032994 root_mean_squared_error 0.3943546239283573 root_mean_squared_error 0.3942341017386351 root_mean_squared_error 0.39347440880398793 root_mean_squared_error 0.39487832643998966 root_mean_squared_error 0.3938741804894314 root_mean_squared_error 0.3954022327146104 root_relative_squared_error 0.9927100573634475 root_relative_squared_error 0.9992716200857089 root_relative_squared_error 0.9932452870606635 root_relative_squared_error 0.9972088882219775 root_relative_squared_error 0.9977603992875447 root_relative_squared_error 0.9989087176193182 root_relative_squared_error 0.9969838108398535 root_relative_squared_error 1.000541051472353 root_relative_squared_error 0.9979967506638965 root_relative_squared_error 1.000061632450801 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 0.5023696682464455 [1,0.004739] unweighted_recall 0.5 [1,0] unweighted_recall 0.5065395286573319 [0.998861,0.014218] unweighted_recall 0.5023696682464455 [1,0.004739] unweighted_recall 0.5023696682464455 [1,0.004739] unweighted_recall 0.5 [1,0] unweighted_recall 0.5023809523809524 [1,0.004762] unweighted_recall 0.4994305239179954 [0.998861,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 1774910.6045539991 usercpu_time_millis 1890775.3860979974 usercpu_time_millis 2338425.2064460013 usercpu_time_millis 2117893.4836620027 usercpu_time_millis 1953128.5034289975 usercpu_time_millis 1500878.0457639988 usercpu_time_millis 2307483.3361199996 usercpu_time_millis 1724106.0801820057 usercpu_time_millis 1720530.7129110007 usercpu_time_millis 1492898.2417150037 usercpu_time_millis_testing 174.4249889998173 usercpu_time_millis_testing 110.20500499944319 usercpu_time_millis_testing 179.43795500104898 usercpu_time_millis_testing 178.73034900185303 usercpu_time_millis_testing 172.63161899973056 usercpu_time_millis_testing 168.2433320020209 usercpu_time_millis_testing 110.15093400055775 usercpu_time_millis_testing 109.54273700190242 usercpu_time_millis_testing 111.55167299875757 usercpu_time_millis_testing 179.78360000415705 usercpu_time_millis_training 1774736.1795649994 usercpu_time_millis_training 1890665.181092998 usercpu_time_millis_training 2338245.7684910004 usercpu_time_millis_training 2117714.753313001 usercpu_time_millis_training 1952955.8718099978 usercpu_time_millis_training 1500709.8024319967 usercpu_time_millis_training 2307373.185185999 usercpu_time_millis_training 1723996.5374450039 usercpu_time_millis_training 1720419.161238002 usercpu_time_millis_training 1492718.4581149996 wall_clock_time_millis 1775136.2264156342 wall_clock_time_millis 1890891.3271427155 wall_clock_time_millis 2338575.4523277283 wall_clock_time_millis 2117982.755422592 wall_clock_time_millis 1953299.1151809692 wall_clock_time_millis 1501042.6814556122 wall_clock_time_millis 2307673.9616394043 wall_clock_time_millis 1724152.9541015625 wall_clock_time_millis 1720742.8896427155 wall_clock_time_millis 1493051.7363548279 wall_clock_time_millis_testing 174.4363307952881 wall_clock_time_millis_testing 110.2137565612793 wall_clock_time_millis_testing 179.44884300231934 wall_clock_time_millis_testing 178.7393093109131 wall_clock_time_millis_testing 172.6534366607666 wall_clock_time_millis_testing 168.25604438781738 wall_clock_time_millis_testing 110.15892028808594 wall_clock_time_millis_testing 109.55238342285156 wall_clock_time_millis_testing 111.56988143920898 wall_clock_time_millis_testing 179.7950267791748 wall_clock_time_millis_training 1774961.7900848389 wall_clock_time_millis_training 1890781.1133861542 wall_clock_time_millis_training 2338396.003484726 wall_clock_time_millis_training 2117804.0161132812 wall_clock_time_millis_training 1953126.4617443085 wall_clock_time_millis_training 1500874.4254112244 wall_clock_time_millis_training 2307563.802719116 wall_clock_time_millis_training 1724043.4017181396 wall_clock_time_millis_training 1720631.3197612762 wall_clock_time_millis_training 1492871.9413280487 weighted_recall 0.8071625344352618 [1,0.004739] weighted_recall 0.8062442607897153 [1,0] weighted_recall 0.8080808080808081 [0.998861,0.014218] weighted_recall 0.8071625344352618 [1,0.004739] weighted_recall 0.8071625344352618 [1,0.004739] weighted_recall 0.8069852941176471 [1,0] weighted_recall 0.8079044117647058 [1,0.004762] weighted_recall 0.8060661764705882 [0.998861,0] weighted_recall 0.8069852941176471 [1,0] weighted_recall 0.8060661764705882 [1,0]