10396658 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) 8231709 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 0.7572726382539152 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.4813122570452757 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.06810078725839559 13389 kernel "rbf" 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 21715048 description https://api.openml.org/data/download/21715048/description.xml -1 21715049 predictions https://api.openml.org/data/download/21715049/predictions.arff area_under_roc_curve 0.550146214629641 [0.550146,0.550146] average_cost 0 f_measure 0.7607410015448702 [0.895968,0.197036] kappa 0.1452447744685072 kb_relative_information_score 0.3035187007992307 mean_absolute_error 0.18419843821773083 mean_prior_absolute_error 0.31212214303703906 number_of_instances 10885 [8779,2106] precision 0.7852986914838287 [0.822756,0.629156] predictive_accuracy 0.8158015617822691 prior_entropy 0.7086892261862012 recall 0.8158015617822691 [0.983483,0.116809] relative_absolute_error 0.5901485758922022 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.42918345520037327 root_relative_squared_error 1.0864748880377946 total_cost 0 area_under_roc_curve 0.5596087618348465 [0.559609,0.559609] area_under_roc_curve 0.5452989884377463 [0.545299,0.545299] area_under_roc_curve 0.5731655313130877 [0.573166,0.573166] area_under_roc_curve 0.5471909445206145 [0.547191,0.547191] area_under_roc_curve 0.5412208919452871 [0.541221,0.541221] area_under_roc_curve 0.5373684781429656 [0.537368,0.537368] area_under_roc_curve 0.5413548107169975 [0.541355,0.541355] area_under_roc_curve 0.5585909534656688 [0.558591,0.558591] area_under_roc_curve 0.552793144592689 [0.552793,0.552793] area_under_roc_curve 0.5448102373991472 [0.54481,0.54481] 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 0.767084624207738 [0.896982,0.226563] f_measure 0.7572051537840534 [0.896017,0.179592] f_measure 0.7775270766153429 [0.901042,0.263566] f_measure 0.7577535275071384 [0.894081,0.190476] f_measure 0.7535975857568408 [0.893837,0.17004] f_measure 0.7510560441550467 [0.892116,0.16129] f_measure 0.7551945505597781 [0.896124,0.165975] f_measure 0.7684424773555036 [0.899948,0.218623] f_measure 0.7629275202804615 [0.89605,0.206349] f_measure 0.7557670197742263 [0.893506,0.183267] kappa 0.17002702140927062 kappa 0.1329652178390777 kappa 0.20762997457185742 kappa 0.13600336022028126 kappa 0.12035887797439616 kappa 0.10856206472757059 kappa 0.12239754723341428 kappa 0.1706662032575557 kappa 0.15177596906477045 kappa 0.12945731593080603 kb_relative_information_score 0.3130745828603305 kb_relative_information_score 0.30266662199457817 kb_relative_information_score 0.34082914516900886 kb_relative_information_score 0.2922586611288256 kb_relative_information_score 0.28878934084024194 kb_relative_information_score 0.27616095953505654 kb_relative_information_score 0.30052092724301166 kb_relative_information_score 0.32836089033781896 kb_relative_information_score 0.30400092262986195 kb_relative_information_score 0.28850349053690555 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.18457300275482094 mean_absolute_error 0.17447199265381083 mean_absolute_error 0.18732782369146006 mean_absolute_error 0.18824609733700642 mean_absolute_error 0.19117647058823528 mean_absolute_error 0.18474264705882354 mean_absolute_error 0.17738970588235295 mean_absolute_error 0.18382352941176472 mean_absolute_error 0.18841911764705882 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 0.7905569100971399 [0.82567,0.644444] precision 0.7871794458255669 [0.820853,0.647059] precision 0.8094547872574803 [0.830134,0.723404] precision 0.7757999674817265 [0.821565,0.585366] precision 0.7737922695835154 [0.819563,0.583333] precision 0.7625460710600029 [0.819048,0.526316] precision 0.7864520594608277 [0.820246,0.645161] precision 0.8073216760024141 [0.82588,0.72973] precision 0.784515240130469 [0.824092,0.619048] precision 0.772978467388864 [0.820611,0.575] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.815426997245179 predictive_accuracy 0.8255280073461891 predictive_accuracy 0.8126721763085399 predictive_accuracy 0.8117539026629936 predictive_accuracy 0.8088235294117646 predictive_accuracy 0.8152573529411765 predictive_accuracy 0.8226102941176471 predictive_accuracy 0.8161764705882354 predictive_accuracy 0.8115808823529411 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 0.8181818181818182 [0.981777,0.137441] recall 0.8154269972451791 [0.986333,0.104265] recall 0.8255280073461891 [0.985194,0.161137] recall 0.8126721763085399 [0.980638,0.113744] recall 0.8117539026629935 [0.982916,0.099526] recall 0.8088235294117647 [0.979499,0.095238] recall 0.8152573529411765 [0.987472,0.095238] recall 0.8226102941176471 [0.98861,0.128571] recall 0.8161764705882353 [0.981777,0.12381] recall 0.8115808823529411 [0.980616,0.109005] relative_absolute_error 0.5822041492753851 relative_absolute_error 0.5910254242644061 relative_absolute_error 0.5586807493046625 relative_absolute_error 0.599846699253427 relative_absolute_error 0.6027871242497674 relative_absolute_error 0.6130621867340078 relative_absolute_error 0.592430286218921 relative_absolute_error 0.568850971344536 relative_absolute_error 0.5894828718596229 relative_absolute_error 0.603130348211917 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 0.4264014327112209 root_mean_squared_error 0.4296196023866008 root_mean_squared_error 0.417698447033037 root_mean_squared_error 0.4328138441541121 root_mean_squared_error 0.4338733655538289 root_mean_squared_error 0.4372373160976031 root_mean_squared_error 0.42981699251986716 root_mean_squared_error 0.42117657328293195 root_mean_squared_error 0.4287464628562721 root_mean_squared_error 0.43407271009251297 root_relative_squared_error 1.0788423361710602 root_relative_squared_error 1.086984657993729 root_relative_squared_error 1.0568228290108346 root_relative_squared_error 1.0950664395882361 root_relative_squared_error 1.0977471447979388 root_relative_squared_error 1.1078700822485608 root_relative_squared_error 1.0890684974118674 root_relative_squared_error 1.0671754392984365 root_relative_squared_error 1.0863559938290492 root_relative_squared_error 1.0978680117134842 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 6462.230514000112 usercpu_time_millis 6407.433013999253 usercpu_time_millis 6562.342838005861 usercpu_time_millis 6511.044762009988 usercpu_time_millis 6147.56464400125 usercpu_time_millis 6278.783259993361 usercpu_time_millis 6290.815558000759 usercpu_time_millis 6250.446084006398 usercpu_time_millis 6130.566656996962 usercpu_time_millis 6138.742301998718 usercpu_time_millis_testing 379.4900270004291 usercpu_time_millis_testing 375.333355004841 usercpu_time_millis_testing 383.60199500311865 usercpu_time_millis_testing 374.555678004981 usercpu_time_millis_testing 368.97095900349086 usercpu_time_millis_testing 378.6759579961654 usercpu_time_millis_testing 374.79223400441697 usercpu_time_millis_testing 379.46533400099725 usercpu_time_millis_testing 369.2120579944458 usercpu_time_millis_testing 365.04618100298103 usercpu_time_millis_training 6082.740486999683 usercpu_time_millis_training 6032.099658994412 usercpu_time_millis_training 6178.740843002743 usercpu_time_millis_training 6136.489084005007 usercpu_time_millis_training 5778.593684997759 usercpu_time_millis_training 5900.1073019971955 usercpu_time_millis_training 5916.023323996342 usercpu_time_millis_training 5870.980750005401 usercpu_time_millis_training 5761.354599002516 usercpu_time_millis_training 5773.696120995737 wall_clock_time_millis 6465.798139572144 wall_clock_time_millis 6445.023536682129 wall_clock_time_millis 6562.446117401123 wall_clock_time_millis 6511.176109313965 wall_clock_time_millis 6147.669553756714 wall_clock_time_millis 6282.400846481323 wall_clock_time_millis 6323.392152786255 wall_clock_time_millis 6250.672340393066 wall_clock_time_millis 6130.640506744385 wall_clock_time_millis 6138.83900642395 wall_clock_time_millis_testing 379.9855709075928 wall_clock_time_millis_testing 377.4878978729248 wall_clock_time_millis_testing 383.6212158203125 wall_clock_time_millis_testing 374.58038330078125 wall_clock_time_millis_testing 368.98016929626465 wall_clock_time_millis_testing 379.1964054107666 wall_clock_time_millis_testing 375.9896755218506 wall_clock_time_millis_testing 379.4741630554199 wall_clock_time_millis_testing 369.2207336425781 wall_clock_time_millis_testing 365.0543689727783 wall_clock_time_millis_training 6085.812568664551 wall_clock_time_millis_training 6067.535638809204 wall_clock_time_millis_training 6178.824901580811 wall_clock_time_millis_training 6136.595726013184 wall_clock_time_millis_training 5778.689384460449 wall_clock_time_millis_training 5903.204441070557 wall_clock_time_millis_training 5947.402477264404 wall_clock_time_millis_training 5871.1981773376465 wall_clock_time_millis_training 5761.419773101807 wall_clock_time_millis_training 5773.784637451172