10396669 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) 8232152 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 3.081620245614723 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.053322514098660845 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.31447231452702795 13389 kernel "poly" 13389 max_iter -1 13389 probability false 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 21715070 description https://api.openml.org/data/download/21715070/description.xml -1 21715071 predictions https://api.openml.org/data/download/21715071/predictions.arff area_under_roc_curve 0.5557557602874078 [0.555756,0.555756] average_cost 0 f_measure 0.7233384741050931 [0.828991,0.28292] kappa 0.11191545211217749 kb_relative_information_score -0.04420089047259412 mean_absolute_error 0.2761598530087276 mean_prior_absolute_error 0.31212214303703906 number_of_instances 10885 [8779,2106] precision 0.7228410243172566 [0.828049,0.284276] predictive_accuracy 0.7238401469912723 prior_entropy 0.7086892261862012 recall 0.7238401469912724 [0.829935,0.281576] relative_absolute_error 0.8847813561755409 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.5255091369412406 root_relative_squared_error 1.3303226715822758 total_cost 0 area_under_roc_curve 0.5727768841291604 [0.572777,0.572777] area_under_roc_curve 0.5739158362931696 [0.573916,0.573916] area_under_roc_curve 0.5630957907350831 [0.563096,0.563096] area_under_roc_curve 0.540942901251228 [0.540943,0.540943] area_under_roc_curve 0.5546643059948828 [0.554664,0.554664] area_under_roc_curve 0.5406117800195249 [0.540612,0.540612] area_under_roc_curve 0.5654083957045233 [0.565408,0.565408] area_under_roc_curve 0.552158585529884 [0.552159,0.552159] area_under_roc_curve 0.5542792059876342 [0.554279,0.554279] area_under_roc_curve 0.539592644030976 [0.539593,0.539593] 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 0.7307772475400731 [0.831332,0.312354] f_measure 0.7321369369081513 [0.832667,0.313817] f_measure 0.7192221818333597 [0.819861,0.300448] f_measure 0.7219643755070814 [0.835386,0.25] f_measure 0.7176192327380152 [0.821572,0.285057] f_measure 0.7094443125200155 [0.816303,0.262673] f_measure 0.7336397416944568 [0.838418,0.295567] f_measure 0.729149121662682 [0.839035,0.26972] f_measure 0.7253936544095306 [0.83239,0.278049] f_measure 0.7127158266495665 [0.822323,0.257143] kappa 0.14374242040593316 kappa 0.1465129155733166 kappa 0.1209653216876571 kappa 0.08656057242957352 kappa 0.1068285568861803 kappa 0.07921462423832105 kappa 0.1342207185148912 kappa 0.109681687024555 kappa 0.11056120194432151 kappa 0.07947131212001232 kb_relative_information_score -0.02344948513233242 kb_relative_information_score -0.01651084455516567 kb_relative_information_score -0.0824279300382627 kb_relative_information_score -0.019980164843748528 kb_relative_information_score -0.07895860974967722 kb_relative_information_score -0.11359852379221731 kb_relative_information_score 0.004721319360705642 kb_relative_information_score 0.0012413239738538863 kb_relative_information_score -0.030078634507802512 kb_relative_information_score -0.08286298025602104 mean_absolute_error 0.27089072543618 mean_absolute_error 0.26905417814508725 mean_absolute_error 0.2865013774104683 mean_absolute_error 0.2699724517906336 mean_absolute_error 0.28558310376492196 mean_absolute_error 0.29411764705882354 mean_absolute_error 0.26286764705882354 mean_absolute_error 0.26378676470588236 mean_absolute_error 0.27205882352941174 mean_absolute_error 0.2867647058823529 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 0.7324989287258841 [0.834673,0.307339] precision 0.7333556765895618 [0.835052,0.310185] precision 0.725537748761264 [0.831382,0.285106] precision 0.7148521302743939 [0.821586,0.270718] precision 0.7209940122643749 [0.827746,0.276786] precision 0.7131969975490196 [0.822917,0.254464] precision 0.7303676235068018 [0.831839,0.306122] precision 0.7228893842203125 [0.826519,0.289617] precision 0.7229531001589826 [0.827703,0.285] precision 0.7122003405604775 [0.821388,0.258373] predictive_accuracy 0.72910927456382 predictive_accuracy 0.7309458218549127 predictive_accuracy 0.7134986225895317 predictive_accuracy 0.7300275482093664 predictive_accuracy 0.714416896235078 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.7371323529411765 predictive_accuracy 0.7362132352941176 predictive_accuracy 0.7279411764705883 predictive_accuracy 0.7132352941176471 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 recall 0.72910927456382 [0.828018,0.317536] recall 0.7309458218549127 [0.830296,0.317536] recall 0.7134986225895317 [0.808656,0.317536] recall 0.7300275482093664 [0.849658,0.232227] recall 0.7144168962350781 [0.81549,0.293839] recall 0.7058823529411765 [0.809795,0.271429] recall 0.7371323529411765 [0.845103,0.285714] recall 0.7362132352941176 [0.851936,0.252381] recall 0.7279411764705882 [0.83713,0.271429] recall 0.7132352941176471 [0.823261,0.255924] relative_absolute_error 0.867425373920397 relative_absolute_error 0.8615445239277163 relative_absolute_error 0.9174125988581827 relative_absolute_error 0.8644849489240568 relative_absolute_error 0.9144721738618423 relative_absolute_error 0.9431725949753966 relative_absolute_error 0.8429605067592608 relative_absolute_error 0.8459079211185587 relative_absolute_error 0.8724346503522418 relative_absolute_error 0.9179349689859422 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 0.5204716374944748 root_mean_squared_error 0.51870432632193 root_mean_squared_error 0.5352582343228998 root_mean_squared_error 0.5195887333176439 root_mean_squared_error 0.5343997602590423 root_mean_squared_error 0.5423261445466404 root_mean_squared_error 0.512706199551774 root_mean_squared_error 0.5136017569147153 root_mean_squared_error 0.5215925838520058 root_mean_squared_error 0.5355041604715625 root_relative_squared_error 1.3168502594727332 root_relative_squared_error 1.3123787686008421 root_relative_squared_error 1.354261969290325 root_relative_squared_error 1.31461641518499 root_relative_squared_error 1.352089935864674 root_relative_squared_error 1.3741437161102479 root_relative_squared_error 1.2990928234038825 root_relative_squared_error 1.3013619829033396 root_relative_squared_error 1.3216091067656448 root_relative_squared_error 1.3544110796458784 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 150156.61498899863 usercpu_time_millis 103216.96053600317 usercpu_time_millis 120043.88856700098 usercpu_time_millis 69508.03370699577 usercpu_time_millis 106518.68547299819 usercpu_time_millis 133560.23962499603 usercpu_time_millis 103517.57618300326 usercpu_time_millis 158892.9831850037 usercpu_time_millis 132287.4036860012 usercpu_time_millis 98001.63652000629 usercpu_time_millis_testing 140.8472140028607 usercpu_time_millis_testing 139.45689300453523 usercpu_time_millis_testing 139.9558619959862 usercpu_time_millis_testing 83.97048299957532 usercpu_time_millis_testing 141.4985279989196 usercpu_time_millis_testing 84.5492469961755 usercpu_time_millis_testing 137.11019600305008 usercpu_time_millis_testing 139.3004510027822 usercpu_time_millis_testing 137.41794200177537 usercpu_time_millis_testing 83.39863800210878 usercpu_time_millis_training 150015.76777499577 usercpu_time_millis_training 103077.50364299864 usercpu_time_millis_training 119903.93270500499 usercpu_time_millis_training 69424.0632239962 usercpu_time_millis_training 106377.18694499927 usercpu_time_millis_training 133475.69037799985 usercpu_time_millis_training 103380.4659870002 usercpu_time_millis_training 158753.6827340009 usercpu_time_millis_training 132149.98574399942 usercpu_time_millis_training 97918.23788200418 wall_clock_time_millis 150224.90692138672 wall_clock_time_millis 103217.28897094727 wall_clock_time_millis 120728.06334495544 wall_clock_time_millis 69509.38820838928 wall_clock_time_millis 106780.71117401123 wall_clock_time_millis 133560.8389377594 wall_clock_time_millis 103517.4469947815 wall_clock_time_millis 158892.88234710693 wall_clock_time_millis 132288.08784484863 wall_clock_time_millis 98032.31620788574 wall_clock_time_millis_testing 140.85745811462402 wall_clock_time_millis_testing 139.4662857055664 wall_clock_time_millis_testing 141.05844497680664 wall_clock_time_millis_testing 83.97865295410156 wall_clock_time_millis_testing 141.50619506835938 wall_clock_time_millis_testing 84.55705642700195 wall_clock_time_millis_testing 137.12000846862793 wall_clock_time_millis_testing 139.31012153625488 wall_clock_time_millis_testing 137.42661476135254 wall_clock_time_millis_testing 83.40644836425781 wall_clock_time_millis_training 150084.0494632721 wall_clock_time_millis_training 103077.8226852417 wall_clock_time_millis_training 120587.00489997864 wall_clock_time_millis_training 69425.40955543518 wall_clock_time_millis_training 106639.20497894287 wall_clock_time_millis_training 133476.2818813324 wall_clock_time_millis_training 103380.32698631287 wall_clock_time_millis_training 158753.57222557068 wall_clock_time_millis_training 132150.66123008728 wall_clock_time_millis_training 97948.90975952148