10329309 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) 8184930 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 3319.7474187009875 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 1.6445829573832509 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 59949 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 21580312 description https://api.openml.org/data/download/21580312/description.xml -1 21580313 predictions https://api.openml.org/data/download/21580313/predictions.arff area_under_roc_curve 0.737102632169385 [0.63645,0.636432,0.842349,0.838812] average_cost 0 f_measure 0.630916557978826 [0.45815,0.46833,0.807487,0.798834] kappa 0.4757699055582515 kb_relative_information_score 0.5263759572649499 mean_absolute_error 0.19621749408983452 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.6838441769905766 [0.429752,0.401316,0.967949,0.951389] predictive_accuracy 0.607565011820331 prior_entropy 1.9990667866719984 recall 0.607565011820331 [0.490566,0.562212,0.692661,0.688442] relative_absolute_error 0.5234689183373643 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.44296443885467207 root_relative_squared_error 1.0232008255940241 total_cost 0 area_under_roc_curve 0.7005170177045177 [0.668527,0.575397,0.795455,0.767308] area_under_roc_curve 0.7405677655677656 [0.613095,0.630952,0.909091,0.809615] area_under_roc_curve 0.6994047619047619 [0.556548,0.61075,0.832973,0.8] area_under_roc_curve 0.819068605006105 [0.723586,0.776335,0.909091,0.867308] area_under_roc_curve 0.7480120573870573 [0.676339,0.569625,0.886364,0.867308] area_under_roc_curve 0.8033234126984128 [0.65253,0.708153,0.886364,0.975] area_under_roc_curve 0.6936763952892985 [0.564516,0.705279,0.777778,0.736842] area_under_roc_curve 0.7130056323604711 [0.646628,0.555556,0.785714,0.875] area_under_roc_curve 0.7380912378392217 [0.611111,0.666667,0.78739,0.892188] area_under_roc_curve 0.7141537058371735 [0.650794,0.563492,0.847507,0.792188] 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 0.5810924369747898 [0.5,0.4,0.742857,0.6875] f_measure 0.6314899576852017 [0.425532,0.458333,0.9,0.742857] f_measure 0.5711163722454926 [0.294118,0.454545,0.789474,0.75] f_measure 0.7407923169267708 [0.577778,0.653061,0.9,0.833333] f_measure 0.6449359776643883 [0.510638,0.375,0.871795,0.833333] f_measure 0.7193520886615516 [0.478261,0.565217,0.871795,0.974359] f_measure 0.5714365746298521 [0.392857,0.56,0.705882,0.642857] f_measure 0.6054439539661215 [0.47619,0.37931,0.727273,0.857143] f_measure 0.6264566237970494 [0.425532,0.5,0.722222,0.864865] f_measure 0.5960712243731111 [0.47619,0.377358,0.8,0.727273] kappa 0.4025157232704403 kappa 0.48161153206431345 kappa 0.40096439169139475 kappa 0.6386989465902789 kappa 0.4975060040642897 kappa 0.6077888519748985 kappa 0.3917682926829269 kappa 0.42803101948174765 kappa 0.4764872521246458 kappa 0.42803101948174765 kb_relative_information_score 0.4599517969918153 kb_relative_information_score 0.5309019295695728 kb_relative_information_score 0.4594835238854336 kb_relative_information_score 0.6729805065987038 kb_relative_information_score 0.5462442745453469 kb_relative_information_score 0.646578478283302 kb_relative_information_score 0.4526022971364177 kb_relative_information_score 0.483832934980235 kb_relative_information_score 0.5270443399390026 kb_relative_information_score 0.48226712364765084 mean_absolute_error 0.2235294117647059 mean_absolute_error 0.19411764705882353 mean_absolute_error 0.2235294117647059 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.18823529411764706 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.2261904761904762 mean_absolute_error 0.21428571428571427 mean_absolute_error 0.19642857142857142 mean_absolute_error 0.21428571428571427 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 0.6705882352941176 [0.444444,0.333333,1,0.916667] precision 0.6672699849170438 [0.384615,0.423077,1,0.866667] precision 0.6611990950226245 [0.384615,0.340909,0.9375,1] precision 0.7666122004357299 [0.541667,0.592593,1,0.9375] precision 0.6830316742081448 [0.461538,0.346154,1,0.9375] precision 0.7430196078431373 [0.44,0.541667,1,1] precision 0.6726459814695109 [0.323529,0.5,0.923077,1] precision 0.6933719433719434 [0.5,0.297297,1,1] precision 0.6745518720308636 [0.384615,0.444444,0.928571,0.941176] precision 0.6497570716320717 [0.47619,0.3125,0.888889,0.923077] predictive_accuracy 0.5529411764705883 predictive_accuracy 0.611764705882353 predictive_accuracy 0.5529411764705883 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.6235294117647059 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.5476190476190476 predictive_accuracy 0.5714285714285715 predictive_accuracy 0.6071428571428572 predictive_accuracy 0.5714285714285715 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 0.5529411764705883 [0.571429,0.5,0.590909,0.55] recall 0.611764705882353 [0.47619,0.5,0.818182,0.65] recall 0.5529411764705883 [0.238095,0.681818,0.681818,0.6] recall 0.7294117647058823 [0.619048,0.727273,0.818182,0.75] recall 0.6235294117647059 [0.571429,0.409091,0.772727,0.75] 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 0.6071428571428571 [0.47619,0.571429,0.590909,0.8] recall 0.5714285714285714 [0.47619,0.47619,0.727273,0.6] relative_absolute_error 0.5963480604840942 relative_absolute_error 0.5178812104203976 relative_absolute_error 0.5963480604840942 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.5021878404076582 relative_absolute_error 0.392334250318483 relative_absolute_error 0.6035239821371847 relative_absolute_error 0.5715673272689912 relative_absolute_error 0.523995441893482 relative_absolute_error 0.5716313911565258 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 0.47278897170376755 root_mean_squared_error 0.440587842613506 root_mean_squared_error 0.47278897170376755 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.4338609156373123 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.47559486560567094 root_mean_squared_error 0.4629100498862757 root_mean_squared_error 0.44320263021395917 root_mean_squared_error 0.4629100498862757 root_relative_squared_error 1.0921224083418932 root_relative_squared_error 1.0177391702417047 root_relative_squared_error 1.0921224083418932 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 1.0022002551449631 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 1.0987432613907606 root_relative_squared_error 1.0690786018484189 root_relative_squared_error 1.0236795453647338 root_relative_squared_error 1.0691984142413238 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 103.68154301249888 usercpu_time_millis 101.57172300387174 usercpu_time_millis 102.06744499737397 usercpu_time_millis 104.96640898054466 usercpu_time_millis 102.65574502409436 usercpu_time_millis 99.69391199410893 usercpu_time_millis 100.50195499206893 usercpu_time_millis 99.82689100434072 usercpu_time_millis 99.68138401745819 usercpu_time_millis 99.81682799116243 usercpu_time_millis_testing 5.762943008448929 usercpu_time_millis_testing 5.76998500037007 usercpu_time_millis_testing 5.837065997184254 usercpu_time_millis_testing 5.842920989380218 usercpu_time_millis_testing 5.75540101272054 usercpu_time_millis_testing 5.752195997047238 usercpu_time_millis_testing 5.627324993838556 usercpu_time_millis_testing 5.621743010124192 usercpu_time_millis_testing 5.682839007931761 usercpu_time_millis_testing 5.6494589953217655 usercpu_time_millis_training 97.91860000404995 usercpu_time_millis_training 95.80173800350167 usercpu_time_millis_training 96.23037900018971 usercpu_time_millis_training 99.12348799116444 usercpu_time_millis_training 96.90034401137382 usercpu_time_millis_training 93.94171599706169 usercpu_time_millis_training 94.87462999823038 usercpu_time_millis_training 94.20514799421653 usercpu_time_millis_training 93.99854500952642 usercpu_time_millis_training 94.16736899584066 wall_clock_time_millis 183.70699882507324 wall_clock_time_millis 133.6042881011963 wall_clock_time_millis 178.11083793640137 wall_clock_time_millis 105.00955581665039 wall_clock_time_millis 102.68044471740723 wall_clock_time_millis 99.72000122070312 wall_clock_time_millis 100.52609443664551 wall_clock_time_millis 99.85184669494629 wall_clock_time_millis 99.75528717041016 wall_clock_time_millis 99.88522529602051 wall_clock_time_millis_testing 5.774497985839844 wall_clock_time_millis_testing 5.796670913696289 wall_clock_time_millis_testing 5.867242813110352 wall_clock_time_millis_testing 5.872488021850586 wall_clock_time_millis_testing 5.767583847045898 wall_clock_time_millis_testing 5.76472282409668 wall_clock_time_millis_testing 5.638837814331055 wall_clock_time_millis_testing 5.634069442749023 wall_clock_time_millis_testing 5.696296691894531 wall_clock_time_millis_testing 5.660533905029297 wall_clock_time_millis_training 177.9325008392334 wall_clock_time_millis_training 127.8076171875 wall_clock_time_millis_training 172.24359512329102 wall_clock_time_millis_training 99.1370677947998 wall_clock_time_millis_training 96.91286087036133 wall_clock_time_millis_training 93.95527839660645 wall_clock_time_millis_training 94.88725662231445 wall_clock_time_millis_training 94.21777725219727 wall_clock_time_millis_training 94.05899047851562 wall_clock_time_millis_training 94.22469139099121