10419818 8323 Heinrich Peters 11 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8255639 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 8495.49361658936 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 8.947218821753246e-05 13389 kernel "rbf" 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. 11 balance-scale https://www.openml.org/data/download/11/dataset_11_balance-scale.arff -1 21762133 description https://api.openml.org/data/download/21762133/description.xml -1 21762134 predictions https://api.openml.org/data/download/21762134/predictions.arff area_under_roc_curve 0.9825063880646224 [0.984236,0.945401,0.98709] average_cost 0 f_measure 0.9247083293211362 [0.946237,0.671642,0.946237] kappa 0.8592708062700267 kb_relative_information_score 0.7781664114900597 mean_absolute_error 0.0951233322112725 mean_prior_absolute_error 0.3797639065817382 number_of_instances 625 [288,49,288] precision 0.942625882352941 [0.977778,0.529412,0.977778] predictive_accuracy 0.9168000000000001 prior_entropy 1.3181309146206528 recall 0.9168 [0.916667,0.918367,0.916667] relative_absolute_error 0.2504801814039658 root_mean_prior_squared_error 0.4355771591352158 root_mean_squared_error 0.20409039224122583 root_relative_squared_error 0.4685516399583989 total_cost 0 area_under_roc_curve 0.9980842911877394 [1,0.975862,1] area_under_roc_curve 0.9965710422099875 [1,0.986207,0.994929] area_under_roc_curve 0.9968447148974533 [0.994929,0.989655,1] area_under_roc_curve 0.9931259860265945 [0.998986,0.931034,0.997972] area_under_roc_curve 0.9928684117325092 [0.995943,0.968966,0.993915] area_under_roc_curve 0.993730407523511 [0.998955,0.948276,0.994775] area_under_roc_curve 0.986006827487902 [0.99373,0.915789,0.990546] area_under_roc_curve 0.9923062140429563 [0.99791,0.957895,0.992647] area_under_roc_curve 0.9974533106960951 [1,0.968421,1] area_under_roc_curve 0.9863102209551826 [0.985294,0.936842,0.99582] 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 0.9571693274700793 [0.964286,0.769231,0.982456] f_measure 0.9260960966840632 [0.983051,0.714286,0.90566] f_measure 0.9397854011789982 [0.925926,0.769231,0.983051] f_measure 0.9074541766392091 [0.90566,0.588235,0.964286] f_measure 0.9126207126207126 [0.931034,0.615385,0.945455] f_measure 0.9407624633431085 [0.965517,0.727273,0.945455] f_measure 0.8590992087644553 [0.90566,0.4,0.892857] f_measure 0.9267775342189926 [0.947368,0.714286,0.943396] f_measure 0.9564733653443331 [0.981818,0.769231,0.964286] f_measure 0.9211143695014663 [0.945455,0.727273,0.931034] kappa 0.9190231362467866 kappa 0.8664122137404581 kappa 0.8920308483290489 kappa 0.8185185185185184 kappa 0.8380462724935732 kappa 0.888338586222422 kappa 0.7320656871218669 kappa 0.864451246174027 kappa 0.9178807947019868 kappa 0.8601714027965719 kb_relative_information_score 0.8328100787783907 kb_relative_information_score 0.7736160088513345 kb_relative_information_score 0.7868398014918995 kb_relative_information_score 0.7548971003792504 kb_relative_information_score 0.7739157847627305 kb_relative_information_score 0.8077327381669066 kb_relative_information_score 0.6976021859038751 kb_relative_information_score 0.7820888754257947 kb_relative_information_score 0.808720267899499 kb_relative_information_score 0.763926767397771 mean_absolute_error 0.07518485334945228 mean_absolute_error 0.10221300419626454 mean_absolute_error 0.09843526019485421 mean_absolute_error 0.10776175298880994 mean_absolute_error 0.09167504922570259 mean_absolute_error 0.08304021362653602 mean_absolute_error 0.11391422278748851 mean_absolute_error 0.09636484356351988 mean_absolute_error 0.08647458235835387 mean_absolute_error 0.09617513242015129 mean_prior_absolute_error 0.3800087621743677 mean_prior_absolute_error 0.3800087621743677 mean_prior_absolute_error 0.3800087621743677 mean_prior_absolute_error 0.3800087621743677 mean_prior_absolute_error 0.3800087621743677 mean_prior_absolute_error 0.376241353331964 mean_prior_absolute_error 0.38033353879871284 mean_prior_absolute_error 0.38033353879871284 mean_prior_absolute_error 0.38033353879871284 mean_prior_absolute_error 0.38033353879871284 number_of_instances 63 [29,5,29] number_of_instances 63 [29,5,29] number_of_instances 63 [29,5,29] number_of_instances 63 [29,5,29] number_of_instances 63 [29,5,29] number_of_instances 62 [29,4,29] number_of_instances 62 [29,5,28] number_of_instances 62 [29,5,28] number_of_instances 62 [28,5,29] number_of_instances 62 [28,5,29] precision 0.9702380952380952 [1,0.625,1] precision 0.9493827160493828 [0.966667,0.555556,1] precision 0.9548941798941799 [1,0.625,0.966667] precision 0.9537037037037036 [1,0.416667,1] precision 0.9285714285714286 [0.931034,0.5,1] precision 0.956221198156682 [0.965517,0.571429,1] precision 0.8951612903225806 [1,0.3,0.892857] precision 0.947452636968766 [0.964286,0.555556,1] precision 0.969758064516129 [1,0.625,1] precision 0.9241338112305854 [0.962963,0.666667,0.931034] predictive_accuracy 0.9523809523809524 predictive_accuracy 0.9206349206349206 predictive_accuracy 0.9365079365079364 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.9047619047619048 predictive_accuracy 0.9354838709677419 predictive_accuracy 0.8387096774193549 predictive_accuracy 0.9193548387096775 predictive_accuracy 0.9516129032258064 predictive_accuracy 0.9193548387096775 prior_entropy 1.3205735975596746 prior_entropy 1.3205735975596746 prior_entropy 1.3205735975596746 prior_entropy 1.3205735975596746 prior_entropy 1.3205735975596746 prior_entropy 1.2829898723732678 prior_entropy 1.3238135738688475 prior_entropy 1.3238135738688475 prior_entropy 1.3238135738688475 prior_entropy 1.3238135738688475 recall 0.9523809523809523 [0.931034,1,0.965517] recall 0.9206349206349206 [1,1,0.827586] recall 0.9365079365079365 [0.862069,1,1] recall 0.8888888888888888 [0.827586,1,0.931034] recall 0.9047619047619048 [0.931034,0.8,0.896552] recall 0.9354838709677419 [0.965517,1,0.896552] recall 0.8387096774193549 [0.827586,0.6,0.892857] recall 0.9193548387096774 [0.931034,1,0.892857] recall 0.9516129032258065 [0.964286,1,0.931034] recall 0.9193548387096774 [0.928571,0.8,0.931034] relative_absolute_error 0.1978503151328747 relative_absolute_error 0.2689753878605671 relative_absolute_error 0.2590341855056674 relative_absolute_error 0.2835770216776298 relative_absolute_error 0.24124456683879658 relative_absolute_error 0.22070995888978812 relative_absolute_error 0.29951137926801746 relative_absolute_error 0.2533693028174406 relative_absolute_error 0.22736512438919973 relative_absolute_error 0.2528705007818174 root_mean_prior_squared_error 0.43585813879395785 root_mean_prior_squared_error 0.43585813879395785 root_mean_prior_squared_error 0.43585813879395785 root_mean_prior_squared_error 0.43585813879395785 root_mean_prior_squared_error 0.43585813879395785 root_mean_prior_squared_error 0.4315146675497014 root_mean_prior_squared_error 0.43623055117366344 root_mean_prior_squared_error 0.43623055117366344 root_mean_prior_squared_error 0.43623055117366344 root_mean_prior_squared_error 0.43623055117366344 root_mean_squared_error 0.1658238081340571 root_mean_squared_error 0.20474665310399615 root_mean_squared_error 0.19407079486924278 root_mean_squared_error 0.21036140144398835 root_mean_squared_error 0.21332717901495934 root_mean_squared_error 0.18785084059195736 root_mean_squared_error 0.2527036210073562 root_mean_squared_error 0.20410294990037883 root_mean_squared_error 0.1742393824913856 root_mean_squared_error 0.22069450607717428 root_relative_squared_error 0.3804536232658181 root_relative_squared_error 0.46975525952214814 root_relative_squared_error 0.44526137657139264 root_relative_squared_error 0.48263731411800476 root_relative_squared_error 0.4894417702173619 root_relative_squared_error 0.43532898118769253 root_relative_squared_error 0.5792891404040037 root_relative_squared_error 0.467878623703101 root_relative_squared_error 0.399420402864037 root_relative_squared_error 0.5059125397875119 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 111.63177599996743 usercpu_time_millis 116.76613500003441 usercpu_time_millis 118.94349400006377 usercpu_time_millis 118.64443199999641 usercpu_time_millis 115.66475700010415 usercpu_time_millis 134.64812799998072 usercpu_time_millis 153.7269440000273 usercpu_time_millis 113.98503700013407 usercpu_time_millis 100.71117100005722 usercpu_time_millis 125.66700499996841 usercpu_time_millis_testing 0.9745439999733208 usercpu_time_millis_testing 0.7786420000002181 usercpu_time_millis_testing 0.8389900000338457 usercpu_time_millis_testing 1.2927660000059404 usercpu_time_millis_testing 0.8150240000759368 usercpu_time_millis_testing 0.9394229999770687 usercpu_time_millis_testing 0.832346000038342 usercpu_time_millis_testing 0.8187030000499362 usercpu_time_millis_testing 0.8052819999875283 usercpu_time_millis_testing 1.2571439999646827 usercpu_time_millis_training 110.65723199999411 usercpu_time_millis_training 115.98749300003419 usercpu_time_millis_training 118.10450400002992 usercpu_time_millis_training 117.35166599999047 usercpu_time_millis_training 114.84973300002821 usercpu_time_millis_training 133.70870500000365 usercpu_time_millis_training 152.89459799998895 usercpu_time_millis_training 113.16633400008413 usercpu_time_millis_training 99.90588900006969 usercpu_time_millis_training 124.40986100000373 wall_clock_time_millis 111.6480827331543 wall_clock_time_millis 117.92516708374023 wall_clock_time_millis 118.97540092468262 wall_clock_time_millis 118.71600151062012 wall_clock_time_millis 115.7841682434082 wall_clock_time_millis 134.6893310546875 wall_clock_time_millis 153.7764072418213 wall_clock_time_millis 113.99221420288086 wall_clock_time_millis 100.71587562561035 wall_clock_time_millis 125.67520141601562 wall_clock_time_millis_testing 0.9772777557373047 wall_clock_time_millis_testing 0.7812976837158203 wall_clock_time_millis_testing 0.8413791656494141 wall_clock_time_millis_testing 1.3573169708251953 wall_clock_time_millis_testing 0.8170604705810547 wall_clock_time_millis_testing 0.9427070617675781 wall_clock_time_millis_testing 0.8344650268554688 wall_clock_time_millis_testing 0.8215904235839844 wall_clock_time_millis_testing 0.8075237274169922 wall_clock_time_millis_testing 1.2602806091308594 wall_clock_time_millis_training 110.67080497741699 wall_clock_time_millis_training 117.14386940002441 wall_clock_time_millis_training 118.1340217590332 wall_clock_time_millis_training 117.35868453979492 wall_clock_time_millis_training 114.96710777282715 wall_clock_time_millis_training 133.74662399291992 wall_clock_time_millis_training 152.94194221496582 wall_clock_time_millis_training 113.17062377929688 wall_clock_time_millis_training 99.90835189819336 wall_clock_time_millis_training 124.41492080688477