10329306 8323 Heinrich Peters 53 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184927 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 7061.843965992758 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 1.6792401713262466 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 58082 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. 54 vehicle https://www.openml.org/data/download/54/dataset_54_vehicle.arff -1 21580306 description https://api.openml.org/data/download/21580306/description.xml -1 21580307 predictions https://api.openml.org/data/download/21580307/predictions.arff area_under_roc_curve 0.7346205511400142 [0.643555,0.630626,0.840056,0.829534] average_cost 0 f_measure 0.6281761578251369 [0.46712,0.462963,0.80429,0.786982] kappa 0.47088080115603054 kb_relative_information_score 0.5219264469465118 mean_absolute_error 0.1979905437352246 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.6864182669523611 [0.449782,0.386997,0.967742,0.956835] predictive_accuracy 0.6040189125295509 prior_entropy 1.9990667866719984 recall 0.6040189125295509 [0.485849,0.576037,0.688073,0.668342] relative_absolute_error 0.5281990591657141 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.44496128341151725 root_relative_squared_error 1.0278133245215446 total_cost 0 area_under_roc_curve 0.6927045177045177 [0.660714,0.575397,0.795455,0.742308] area_under_roc_curve 0.7405677655677656 [0.613095,0.630952,0.909091,0.809615] area_under_roc_curve 0.683531746031746 [0.532738,0.594877,0.832973,0.775] area_under_roc_curve 0.8186965811965813 [0.747024,0.752525,0.909091,0.867308] area_under_roc_curve 0.7320188492063492 [0.668527,0.553752,0.886364,0.825] area_under_roc_curve 0.8033234126984128 [0.65253,0.708153,0.886364,0.975] area_under_roc_curve 0.6936763952892985 [0.604839,0.664956,0.777778,0.736842] area_under_roc_curve 0.7130056323604711 [0.646628,0.555556,0.785714,0.875] area_under_roc_curve 0.7619007616487455 [0.65873,0.714286,0.78739,0.892188] area_under_roc_curve 0.7062171979006657 [0.650794,0.555556,0.82478,0.792188] 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 0.5686093792355652 [0.489796,0.4,0.742857,0.645161] f_measure 0.6314899576852017 [0.425532,0.458333,0.9,0.742857] f_measure 0.5453971868656308 [0.242424,0.441176,0.789474,0.709677] f_measure 0.7412368024132729 [0.619048,0.615385,0.9,0.833333] f_measure 0.6277301522007405 [0.5,0.36,0.871795,0.787879] f_measure 0.7193520886615516 [0.478261,0.565217,0.871795,0.974359] f_measure 0.5681906095771643 [0.431373,0.509091,0.705882,0.642857] f_measure 0.6054439539661215 [0.47619,0.37931,0.727273,0.857143] f_measure 0.6559137534747291 [0.487805,0.555556,0.722222,0.864865] f_measure 0.5862655862655863 [0.47619,0.37037,0.769231,0.727273] kappa 0.38667900092506935 kappa 0.48161153206431345 kappa 0.3690851735015773 kappa 0.6384985207100591 kappa 0.4656065088757396 kappa 0.6077888519748985 kappa 0.3917682926829269 kappa 0.42803101948174765 kappa 0.5240793201133145 kappa 0.41225416036308626 kb_relative_information_score 0.445388348937773 kb_relative_information_score 0.5309019295695728 kb_relative_information_score 0.43071980135637633 kb_relative_information_score 0.6729805065987038 kb_relative_information_score 0.5171173784372624 kb_relative_information_score 0.646578478283302 kb_relative_information_score 0.4526022971364177 kb_relative_information_score 0.483832934980235 kb_relative_information_score 0.5697482519758569 kb_relative_information_score 0.4680581977856911 mean_absolute_error 0.22941176470588234 mean_absolute_error 0.19411764705882353 mean_absolute_error 0.23529411764705882 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.2 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.2261904761904762 mean_absolute_error 0.21428571428571427 mean_absolute_error 0.17857142857142858 mean_absolute_error 0.22023809523809523 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37478291316526624 mean_prior_absolute_error 0.37490896358543435 mean_prior_absolute_error 0.37486694677871163 mean_prior_absolute_error 0.37486694677871163 number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 84 [22,22,21,19] number_of_instances 84 [22,21,21,20] number_of_instances 84 [21,21,22,20] number_of_instances 84 [21,21,22,20] precision 0.6648841354723707 [0.428571,0.333333,1,0.909091] precision 0.6672699849170438 [0.384615,0.423077,1,0.866667] precision 0.644693094629156 [0.333333,0.326087,0.9375,1] precision 0.7703921568627451 [0.619048,0.533333,1,0.9375] precision 0.6871148459383754 [0.444444,0.321429,1,1] precision 0.7430196078431373 [0.44,0.541667,1,1] precision 0.6674140036209002 [0.37931,0.424242,0.923077,1] precision 0.6933719433719434 [0.5,0.297297,1,1] precision 0.7059232784022701 [0.5,0.454545,0.928571,0.941176] precision 0.6456778515602044 [0.47619,0.30303,0.882353,0.923077] predictive_accuracy 0.5411764705882353 predictive_accuracy 0.611764705882353 predictive_accuracy 0.5294117647058824 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.6 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.5476190476190476 predictive_accuracy 0.5714285714285715 predictive_accuracy 0.6428571428571429 predictive_accuracy 0.5595238095238095 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.998373047127382 prior_entropy 1.9998531439726461 prior_entropy 1.99937603159913 prior_entropy 1.99937603159913 recall 0.5411764705882353 [0.571429,0.5,0.590909,0.5] recall 0.611764705882353 [0.47619,0.5,0.818182,0.65] recall 0.5294117647058824 [0.190476,0.681818,0.681818,0.55] recall 0.7294117647058823 [0.619048,0.727273,0.818182,0.75] recall 0.6 [0.571429,0.409091,0.772727,0.65] recall 0.7058823529411765 [0.52381,0.590909,0.772727,0.95] recall 0.5476190476190477 [0.5,0.636364,0.571429,0.473684] recall 0.5714285714285714 [0.454545,0.52381,0.571429,0.75] recall 0.6428571428571429 [0.47619,0.714286,0.590909,0.8] recall 0.5595238095238095 [0.47619,0.47619,0.681818,0.6] relative_absolute_error 0.6120414304968333 relative_absolute_error 0.5178812104203976 relative_absolute_error 0.6277348005095726 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.5335745804331368 relative_absolute_error 0.392334250318483 relative_absolute_error 0.6035239821371847 relative_absolute_error 0.5715673272689912 relative_absolute_error 0.47635949263043825 relative_absolute_error 0.5875100409108738 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.4328534993731614 root_mean_prior_squared_error 0.43299907891329226 root_mean_prior_squared_error 0.43295055783892555 root_mean_prior_squared_error 0.43295055783892555 root_mean_squared_error 0.4789694820193478 root_mean_squared_error 0.440587842613506 root_mean_squared_error 0.48507125007266594 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.47559486560567094 root_mean_squared_error 0.4629100498862757 root_mean_squared_error 0.4225771273642583 root_mean_squared_error 0.46929531772445293 root_relative_squared_error 1.1063991242016336 root_relative_squared_error 1.0177391702417047 root_relative_squared_error 1.1204939487858854 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 1.033044377495913 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 1.0987432613907606 root_relative_squared_error 1.0690786018484189 root_relative_squared_error 0.9760401498812098 root_relative_squared_error 1.0839466752668998 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 105.53191500366665 usercpu_time_millis 103.72345399810001 usercpu_time_millis 99.23216298921034 usercpu_time_millis 99.71542299899738 usercpu_time_millis 99.82952100108378 usercpu_time_millis 99.8308400157839 usercpu_time_millis 102.56141400896013 usercpu_time_millis 100.98306900181342 usercpu_time_millis 100.4960270220181 usercpu_time_millis 99.86941200622823 usercpu_time_millis_testing 5.775911995442584 usercpu_time_millis_testing 5.723748996388167 usercpu_time_millis_testing 5.6995259947143495 usercpu_time_millis_testing 5.749314994318411 usercpu_time_millis_testing 5.710432000341825 usercpu_time_millis_testing 5.745836009737104 usercpu_time_millis_testing 6.252469000173733 usercpu_time_millis_testing 5.696859996533021 usercpu_time_millis_testing 5.638230009935796 usercpu_time_millis_testing 5.640664006932639 usercpu_time_millis_training 99.75600300822407 usercpu_time_millis_training 97.99970500171185 usercpu_time_millis_training 93.53263699449599 usercpu_time_millis_training 93.96610800467897 usercpu_time_millis_training 94.11908900074195 usercpu_time_millis_training 94.0850040060468 usercpu_time_millis_training 96.3089450087864 usercpu_time_millis_training 95.2862090052804 usercpu_time_millis_training 94.8577970120823 usercpu_time_millis_training 94.22874799929559 wall_clock_time_millis 141.2217617034912 wall_clock_time_millis 151.75342559814453 wall_clock_time_millis 99.25484657287598 wall_clock_time_millis 131.77800178527832 wall_clock_time_millis 99.85637664794922 wall_clock_time_millis 99.85661506652832 wall_clock_time_millis 102.5843620300293 wall_clock_time_millis 101.08804702758789 wall_clock_time_millis 108.54053497314453 wall_clock_time_millis 100.09121894836426 wall_clock_time_millis_testing 5.786418914794922 wall_clock_time_millis_testing 5.734682083129883 wall_clock_time_millis_testing 5.709648132324219 wall_clock_time_millis_testing 5.760669708251953 wall_clock_time_millis_testing 5.722522735595703 wall_clock_time_millis_testing 5.75709342956543 wall_clock_time_millis_testing 6.262302398681641 wall_clock_time_millis_testing 5.707263946533203 wall_clock_time_millis_testing 5.648612976074219 wall_clock_time_millis_testing 5.650520324707031 wall_clock_time_millis_training 135.4353427886963 wall_clock_time_millis_training 146.01874351501465 wall_clock_time_millis_training 93.54519844055176 wall_clock_time_millis_training 126.01733207702637 wall_clock_time_millis_training 94.13385391235352 wall_clock_time_millis_training 94.09952163696289 wall_clock_time_millis_training 96.32205963134766 wall_clock_time_millis_training 95.38078308105469 wall_clock_time_millis_training 102.89192199707031 wall_clock_time_millis_training 94.44069862365723