10325419 8323 Heinrich Peters 10093 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8181104 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 81356.92108932823 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.33706310267468553 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 2.238549391298506 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 6385 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. 1462 banknote-authentication https://www.openml.org/data/download/1586223/php50jXam -1 21572524 description https://api.openml.org/data/download/21572524/description.xml -1 21572525 predictions https://api.openml.org/data/download/21572525/predictions.arff area_under_roc_curve 0.2709349855858182 [0.270935,0.270935] average_cost 0 f_measure 0.27988338192419826 [0.351706,0.190164] kappa -0.45813002882836357 kb_relative_information_score -0.46603236268209214 mean_absolute_error 0.7201166180758017 mean_prior_absolute_error 0.49387203415364794 number_of_instances 1372 [762,610] precision 0.27988338192419826 [0.351706,0.190164] predictive_accuracy 0.27988338192419826 prior_entropy 0.9911281447384036 recall 0.27988338192419826 [0.351706,0.190164] relative_absolute_error 1.4581036549475224 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.8485968525017058 root_relative_squared_error 1.70770605810118 total_cost 0 area_under_roc_curve 0.30955929316585057 [0.309559,0.309559] area_under_roc_curve 0.30136257185437515 [0.301363,0.301363] area_under_roc_curve 0.2512942191544435 [0.251294,0.251294] area_under_roc_curve 0.28753235547886113 [0.287532,0.287532] area_under_roc_curve 0.16425798101811906 [0.164258,0.164258] area_under_roc_curve 0.2907679033649699 [0.290768,0.290768] area_under_roc_curve 0.21861518550474546 [0.218615,0.218615] area_under_roc_curve 0.25959879206212244 [0.259599,0.259599] area_under_roc_curve 0.35968507333908545 [0.359685,0.359685] area_under_roc_curve 0.26617773943054357 [0.266178,0.266178] 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 0.3188405797101449 [0.38961,0.229508] f_measure 0.31097021470603003 [0.387097,0.214876] f_measure 0.25762579992000795 [0.30137,0.203125] f_measure 0.2963770115817622 [0.384615,0.186441] f_measure 0.1703724499344937 [0.208333,0.123077] f_measure 0.29927007299270075 [0.368421,0.213115] f_measure 0.22712166847302148 [0.339623,0.086957] f_measure 0.26873005340158623 [0.350649,0.166667] f_measure 0.36619095674325186 [0.416107,0.304] f_measure 0.2752566814340523 [0.36129,0.168067] kappa -0.3808814136682991 kappa -0.3979526551503518 kappa -0.4926297799615466 kappa -0.42770299609205376 kappa -0.6629045996592846 kappa -0.4184641932700603 kappa -0.5692156648849133 kappa -0.48236312486474797 kappa -0.2792744445637007 kappa -0.46992521946461463 kb_relative_information_score -0.3878790546223012 kb_relative_information_score -0.40264372541615545 kb_relative_information_score -0.5154066303089769 kb_relative_information_score -0.42626506382021456 kb_relative_information_score -0.693689763286502 kb_relative_information_score -0.42626506382021423 kb_relative_information_score -0.5599774135533581 kb_relative_information_score -0.48569277481272266 kb_relative_information_score -0.2925527140870693 kb_relative_information_score -0.47083584706459614 mean_absolute_error 0.6811594202898551 mean_absolute_error 0.6884057971014492 mean_absolute_error 0.7445255474452555 mean_absolute_error 0.7007299270072993 mean_absolute_error 0.8321167883211679 mean_absolute_error 0.7007299270072993 mean_absolute_error 0.7664233576642335 mean_absolute_error 0.7299270072992701 mean_absolute_error 0.635036496350365 mean_absolute_error 0.7226277372262774 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 number_of_instances 138 [77,61] number_of_instances 138 [77,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] precision 0.3188405797101449 [0.38961,0.229508] precision 0.3103771832032702 [0.384615,0.216667] precision 0.26074113270975674 [0.314286,0.19403] precision 0.2939556921500832 [0.375,0.192982] precision 0.1739939390545174 [0.220588,0.115942] precision 0.29927007299270075 [0.368421,0.213115] precision 0.2216864212730891 [0.325301,0.092593] precision 0.2674939807192684 [0.346154,0.169492] precision 0.3677616613338666 [0.424658,0.296875] precision 0.2733864981026996 [0.35443,0.172414] predictive_accuracy 0.3188405797101449 predictive_accuracy 0.3115942028985507 predictive_accuracy 0.25547445255474455 predictive_accuracy 0.29927007299270075 predictive_accuracy 0.1678832116788321 predictive_accuracy 0.29927007299270075 predictive_accuracy 0.23357664233576642 predictive_accuracy 0.27007299270072993 predictive_accuracy 0.36496350364963503 predictive_accuracy 0.2773722627737226 prior_entropy 0.9903020513891087 prior_entropy 0.9903020513891087 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 recall 0.3188405797101449 [0.38961,0.229508] recall 0.3115942028985507 [0.38961,0.213115] recall 0.25547445255474455 [0.289474,0.213115] recall 0.29927007299270075 [0.394737,0.180328] recall 0.1678832116788321 [0.197368,0.131148] recall 0.29927007299270075 [0.368421,0.213115] recall 0.23357664233576642 [0.355263,0.081967] recall 0.27007299270072993 [0.355263,0.163934] recall 0.36496350364963503 [0.407895,0.311475] recall 0.2773722627737226 [0.368421,0.163934] relative_absolute_error 1.3800192328240157 relative_absolute_error 1.394700288492356 relative_absolute_error 1.5073081018294407 relative_absolute_error 1.4186429193688854 relative_absolute_error 1.6846384667505518 relative_absolute_error 1.4186429193688854 relative_absolute_error 1.5516406930597189 relative_absolute_error 1.4777530410092559 relative_absolute_error 1.2856451456780524 relative_absolute_error 1.4629755105991635 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_squared_error 0.8253238275306579 root_mean_squared_error 0.8297022339981068 root_mean_squared_error 0.8628589383237885 root_mean_squared_error 0.837096127698187 root_mean_squared_error 0.912204356666404 root_mean_squared_error 0.837096127698187 root_mean_squared_error 0.8754560855144212 root_mean_squared_error 0.854357657716761 root_mean_squared_error 0.796891772043334 root_mean_squared_error 0.8500751362240149 root_relative_squared_error 1.6618314341675962 root_relative_squared_error 1.6706475779119725 root_relative_squared_error 1.7361545057088577 root_relative_squared_error 1.6843172728069744 root_relative_squared_error 1.835442195256407 root_relative_squared_error 1.6843172728069744 root_relative_squared_error 1.761501167698106 root_relative_squared_error 1.7190491180555079 root_relative_squared_error 1.6034222734981745 root_relative_squared_error 1.7104322762344453 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 41.749568001250736 usercpu_time_millis 47.481697001785506 usercpu_time_millis 46.103316999506205 usercpu_time_millis 45.522651002102066 usercpu_time_millis 46.61340300299344 usercpu_time_millis 47.65303499880247 usercpu_time_millis 46.88306399839348 usercpu_time_millis 45.11043999809772 usercpu_time_millis 46.141134000208694 usercpu_time_millis 46.05355000239797 usercpu_time_millis_testing 3.043950000574114 usercpu_time_millis_testing 3.146205999655649 usercpu_time_millis_testing 3.093897001235746 usercpu_time_millis_testing 3.0835729994578287 usercpu_time_millis_testing 3.107993001322029 usercpu_time_millis_testing 3.0058359989197925 usercpu_time_millis_testing 3.0963699973654 usercpu_time_millis_testing 3.2737629990151618 usercpu_time_millis_testing 4.9132390013255645 usercpu_time_millis_testing 2.935266002168646 usercpu_time_millis_training 38.70561800067662 usercpu_time_millis_training 44.33549100212986 usercpu_time_millis_training 43.00941999827046 usercpu_time_millis_training 42.43907800264424 usercpu_time_millis_training 43.50541000167141 usercpu_time_millis_training 44.647198999882676 usercpu_time_millis_training 43.78669400102808 usercpu_time_millis_training 41.836676999082556 usercpu_time_millis_training 41.22789499888313 usercpu_time_millis_training 43.11828400022932 wall_clock_time_millis 41.7628288269043 wall_clock_time_millis 47.57070541381836 wall_clock_time_millis 46.578407287597656 wall_clock_time_millis 45.55940628051758 wall_clock_time_millis 46.672821044921875 wall_clock_time_millis 63.71712684631348 wall_clock_time_millis 100.21281242370605 wall_clock_time_millis 45.17483711242676 wall_clock_time_millis 46.198368072509766 wall_clock_time_millis 46.080589294433594 wall_clock_time_millis_testing 3.050088882446289 wall_clock_time_millis_testing 3.1523704528808594 wall_clock_time_millis_testing 3.1027793884277344 wall_clock_time_millis_testing 3.110170364379883 wall_clock_time_millis_testing 3.128528594970703 wall_clock_time_millis_testing 3.0121803283691406 wall_clock_time_millis_testing 3.1037330627441406 wall_clock_time_millis_testing 3.284931182861328 wall_clock_time_millis_testing 4.924297332763672 wall_clock_time_millis_testing 2.9420852661132812 wall_clock_time_millis_training 38.71273994445801 wall_clock_time_millis_training 44.4183349609375 wall_clock_time_millis_training 43.47562789916992 wall_clock_time_millis_training 42.449235916137695 wall_clock_time_millis_training 43.54429244995117 wall_clock_time_millis_training 60.704946517944336 wall_clock_time_millis_training 97.10907936096191 wall_clock_time_millis_training 41.88990592956543 wall_clock_time_millis_training 41.274070739746094 wall_clock_time_millis_training 43.13850402832031