10329394 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) 8185014 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 616.7326694603752 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.43976701452156863 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0003262760044002536 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 25740 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 21580485 description https://api.openml.org/data/download/21580485/description.xml -1 21580486 predictions https://api.openml.org/data/download/21580486/predictions.arff area_under_roc_curve 0.867233378837115 [0.76712,0.768607,0.966619,0.97256] average_cost 0 f_measure 0.7985390640639619 [0.652381,0.660333,0.943567,0.946078] kappa 0.7351870932401239 kb_relative_information_score 0.7612627063239675 mean_absolute_error 0.09929078014184398 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7964016389348493 [0.658654,0.681373,0.928889,0.923445] predictive_accuracy 0.801418439716312 prior_entropy 1.9990667866719984 recall 0.8014184397163121 [0.646226,0.640553,0.958716,0.969849] relative_absolute_error 0.264887886387582 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3151043956244406 root_relative_squared_error 0.72785770023632 total_cost 0 area_under_roc_curve 0.8742483211233212 [0.738839,0.800144,0.977273,0.984615] area_under_roc_curve 0.8664320054945055 [0.794271,0.739899,0.9614,0.976923] area_under_roc_curve 0.8508108211233211 [0.715402,0.731962,0.977273,0.984615] area_under_roc_curve 0.8741243131868133 [0.770461,0.79329,0.953463,0.984615] area_under_roc_curve 0.8738839285714286 [0.754836,0.777417,0.969336,1] area_under_roc_curve 0.8983058608058607 [0.842262,0.810245,0.9614,0.984615] area_under_roc_curve 0.8795324746937648 [0.792522,0.807185,0.968254,0.965992] area_under_roc_curve 0.8722438236047106 [0.784457,0.769841,0.952381,0.992188] area_under_roc_curve 0.8731358806963646 [0.801587,0.761905,0.969208,0.959375] area_under_roc_curve 0.8092637928827445 [0.674603,0.690476,0.975806,0.892188] 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 0.8089813634094845 [0.615385,0.695652,0.976744,0.952381] f_measure 0.7936121425314313 [0.7,0.619048,0.933333,0.930233] f_measure 0.7745684320239725 [0.571429,0.604651,0.976744,0.952381] f_measure 0.8056872091607119 [0.666667,0.697674,0.913043,0.952381] f_measure 0.8115734098517455 [0.634146,0.666667,0.954545,1] f_measure 0.8441334136474801 [0.73913,0.756757,0.933333,0.952381] f_measure 0.8213485911160331 [0.697674,0.711111,0.952381,0.947368] f_measure 0.8047988596769083 [0.681818,0.666667,0.909091,0.97561] f_measure 0.8075922399589444 [0.697674,0.65,0.954545,0.926829] f_measure 0.713160960804605 [0.511628,0.536585,0.93617,0.864865] kappa 0.7489385268598855 kappa 0.7333948339483395 kappa 0.702029520295203 kappa 0.7489385268598855 kappa 0.7488457987072945 kappa 0.7962758112094394 kappa 0.7616345062429057 kappa 0.7459837459837461 kappa 0.7459837459837461 kappa 0.6184708554125662 kb_relative_information_score 0.7737317436457224 kb_relative_information_score 0.7599217780981519 kb_relative_information_score 0.7315212291481218 kb_relative_information_score 0.7738618466215372 kb_relative_information_score 0.7738618466215372 kb_relative_information_score 0.8165927730223976 kb_relative_information_score 0.7849778770495845 kb_relative_information_score 0.7714046975747506 kb_relative_information_score 0.7709827290274327 kb_relative_information_score 0.6550562964425504 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.1 mean_absolute_error 0.11176470588235295 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.07647058823529412 mean_absolute_error 0.08928571428571429 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.14285714285714285 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 0.809982174688057 [0.666667,0.666667,1,0.909091] precision 0.7911993538834298 [0.736842,0.65,0.913043,0.869565] precision 0.7741278329513624 [0.571429,0.619048,1,0.909091] precision 0.8036796536796538 [0.722222,0.714286,0.875,0.909091] precision 0.8117391304347826 [0.65,0.652174,0.954545,1] precision 0.8597895063163605 [0.68,0.933333,0.913043,0.909091] precision 0.8216503992901509 [0.714286,0.695652,0.952381,0.947368] precision 0.8032756580893226 [0.681818,0.722222,0.869565,0.952381] precision 0.8069266781672797 [0.681818,0.684211,0.954545,0.904762] precision 0.7170658263305322 [0.5,0.55,0.88,0.941176] predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8 predictive_accuracy 0.776470588235294 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8470588235294118 predictive_accuracy 0.8214285714285714 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.7142857142857143 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 0.8117647058823529 [0.571429,0.727273,0.954545,1] recall 0.8 [0.666667,0.590909,0.954545,1] recall 0.7764705882352941 [0.571429,0.590909,0.954545,1] recall 0.8117647058823529 [0.619048,0.681818,0.954545,1] recall 0.8117647058823529 [0.619048,0.681818,0.954545,1] recall 0.8470588235294118 [0.809524,0.636364,0.954545,1] recall 0.8214285714285714 [0.681818,0.727273,0.952381,0.947368] recall 0.8095238095238095 [0.681818,0.619048,0.952381,1] recall 0.8095238095238095 [0.714286,0.619048,0.954545,0.95] recall 0.7142857142857143 [0.52381,0.52381,1,0.8] relative_absolute_error 0.2510939202038291 relative_absolute_error 0.2667872902165684 relative_absolute_error 0.2981740302420471 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.20401381016561115 relative_absolute_error 0.23823315084362556 relative_absolute_error 0.2540299232306628 relative_absolute_error 0.2540583960695671 relative_absolute_error 0.38108759410435056 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 0.3067859955389482 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.33431228796194873 root_mean_squared_error 0.3067859955389482 root_mean_squared_error 0.3067859955389482 root_mean_squared_error 0.27653315937748607 root_mean_squared_error 0.2988071523335984 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3779644730092272 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.7304726845939957 root_relative_squared_error 0.7722471608243364 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.6387798321889793 root_relative_squared_error 0.690319363864026 root_relative_squared_error 0.712719067898946 root_relative_squared_error 0.7127989428275492 root_relative_squared_error 0.8729968495613873 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 45.130113008781336 usercpu_time_millis 46.064130001468584 usercpu_time_millis 44.43631699541584 usercpu_time_millis 45.17824499635026 usercpu_time_millis 45.53520301124081 usercpu_time_millis 45.32239501713775 usercpu_time_millis 44.80791500827763 usercpu_time_millis 44.3759570189286 usercpu_time_millis 45.56074998981785 usercpu_time_millis 44.66614899865817 usercpu_time_millis_testing 3.7020070012658834 usercpu_time_millis_testing 3.868402010994032 usercpu_time_millis_testing 3.7256869982229546 usercpu_time_millis_testing 3.722858993569389 usercpu_time_millis_testing 3.735636011697352 usercpu_time_millis_testing 3.701350011397153 usercpu_time_millis_testing 3.6264140071580186 usercpu_time_millis_testing 3.6519600107567385 usercpu_time_millis_testing 3.6887850001221523 usercpu_time_millis_testing 3.6265380040276796 usercpu_time_millis_training 41.42810600751545 usercpu_time_millis_training 42.19572799047455 usercpu_time_millis_training 40.71062999719288 usercpu_time_millis_training 41.45538600278087 usercpu_time_millis_training 41.79956699954346 usercpu_time_millis_training 41.6210450057406 usercpu_time_millis_training 41.181501001119614 usercpu_time_millis_training 40.723997008171864 usercpu_time_millis_training 41.8719649896957 usercpu_time_millis_training 41.03961099463049 wall_clock_time_millis 57.16681480407715 wall_clock_time_millis 46.15211486816406 wall_clock_time_millis 44.49462890625 wall_clock_time_millis 45.255184173583984 wall_clock_time_millis 45.55535316467285 wall_clock_time_millis 45.342445373535156 wall_clock_time_millis 44.85583305358887 wall_clock_time_millis 44.39568519592285 wall_clock_time_millis 45.58110237121582 wall_clock_time_millis 44.687509536743164 wall_clock_time_millis_testing 3.7136077880859375 wall_clock_time_millis_testing 3.8788318634033203 wall_clock_time_millis_testing 3.7360191345214844 wall_clock_time_millis_testing 3.7326812744140625 wall_clock_time_millis_testing 3.74603271484375 wall_clock_time_millis_testing 3.7119388580322266 wall_clock_time_millis_testing 3.6356449127197266 wall_clock_time_millis_testing 3.661632537841797 wall_clock_time_millis_testing 3.6988258361816406 wall_clock_time_millis_testing 3.6373138427734375 wall_clock_time_millis_training 53.45320701599121 wall_clock_time_millis_training 42.27328300476074 wall_clock_time_millis_training 40.758609771728516 wall_clock_time_millis_training 41.52250289916992 wall_clock_time_millis_training 41.8093204498291 wall_clock_time_millis_training 41.63050651550293 wall_clock_time_millis_training 41.22018814086914 wall_clock_time_millis_training 40.734052658081055 wall_clock_time_millis_training 41.88227653503418 wall_clock_time_millis_training 41.05019569396973