10329316 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) 8184936 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 82.09840330298995 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2512389819746541 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0010706630871012526 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 16719 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 21580329 description https://api.openml.org/data/download/21580329/description.xml -1 21580330 predictions https://api.openml.org/data/download/21580330/predictions.arff area_under_roc_curve 0.8373507125638733 [0.723089,0.720854,0.951587,0.960968] average_cost 0 f_measure 0.7475814318069861 [0.589109,0.589681,0.908297,0.91253] kappa 0.6753947765447413 kb_relative_information_score 0.7073136790738007 mean_absolute_error 0.12174940898345153 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7433116071798883 [0.619792,0.631579,0.866667,0.861607] predictive_accuracy 0.7565011820330969 prior_entropy 1.9990667866719984 recall 0.7565011820330969 [0.561321,0.552995,0.954128,0.969849] relative_absolute_error 0.32480300354667785 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.34892607954042576 root_relative_squared_error 0.8059821993389891 total_cost 0 area_under_roc_curve 0.8354262057387056 [0.691592,0.702381,0.984127,0.969231] area_under_roc_curve 0.8273618742368741 [0.762649,0.694444,0.945527,0.911538] area_under_roc_curve 0.8194329975579975 [0.65997,0.701299,0.946609,0.976923] area_under_roc_curve 0.8583753052503053 [0.762649,0.763709,0.929654,0.984615] area_under_roc_curve 0.8348137973137972 [0.651786,0.738817,0.969336,0.984615] area_under_roc_curve 0.8903655372405371 [0.834077,0.825036,0.930736,0.976923] area_under_roc_curve 0.8482748434361339 [0.747067,0.76173,0.952381,0.950607] area_under_roc_curve 0.8408738159242193 [0.747067,0.714286,0.936508,0.976562] area_under_roc_curve 0.8256328405017922 [0.738095,0.650794,0.953079,0.960938] area_under_roc_curve 0.7932627688172043 [0.634921,0.650794,0.967742,0.917188] 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 0.7400452415984822 [0.536585,0.564103,0.956522,0.909091] f_measure 0.7312207119364322 [0.65,0.55,0.893617,0.837209] f_measure 0.7246204664509025 [0.487805,0.55814,0.930233,0.930233] f_measure 0.7790756302521009 [0.65,0.666667,0.857143,0.952381] f_measure 0.7457210801940914 [0.473684,0.608696,0.954545,0.952381] f_measure 0.8318963602137337 [0.744186,0.769231,0.888889,0.930233] f_measure 0.7674727380768219 [0.634146,0.651163,0.909091,0.9] f_measure 0.7496980354410158 [0.634146,0.578947,0.869565,0.930233] f_measure 0.7230378529005531 [0.615385,0.473684,0.913043,0.888889] f_measure 0.6846595655806182 [0.45,0.47619,0.916667,0.894737] kappa 0.670846394984326 kappa 0.6549815498154983 kappa 0.6393654307323371 kappa 0.7176079734219268 kappa 0.6704209748892171 kappa 0.7805642633228841 kappa 0.6985266339251985 kappa 0.6827794561933535 kappa 0.6508596259210279 kappa 0.58667676003028 kb_relative_information_score 0.7032253687586469 kb_relative_information_score 0.6884542645166518 kb_relative_information_score 0.6750057516149504 kb_relative_information_score 0.7457215036231369 kb_relative_information_score 0.7029905772222765 kb_relative_information_score 0.8024179129626419 kb_relative_information_score 0.7277473705636908 kb_relative_information_score 0.7142165475450584 kb_relative_information_score 0.6856790761668773 kb_relative_information_score 0.6268228167103761 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.12941176470588237 mean_absolute_error 0.13529411764705881 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.08235294117647059 mean_absolute_error 0.1130952380952381 mean_absolute_error 0.11904761904761904 mean_absolute_error 0.13095238095238096 mean_absolute_error 0.15476190476190477 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 0.7366897347174165 [0.55,0.647059,0.916667,0.833333] precision 0.7287651695308176 [0.684211,0.611111,0.84,0.782609] precision 0.7225307514310071 [0.5,0.571429,0.952381,0.869565] precision 0.7821750559685361 [0.684211,0.764706,0.777778,0.909091] precision 0.7427388067526476 [0.529412,0.583333,0.954545,0.909091] precision 0.8377203659887578 [0.727273,0.882353,0.869565,0.869565] precision 0.7650700249588775 [0.684211,0.666667,0.869565,0.857143] precision 0.7480020383439417 [0.684211,0.647059,0.8,0.869565] precision 0.7186624649859944 [0.666667,0.529412,0.875,0.8] precision 0.6839481181586444 [0.473684,0.47619,0.846154,0.944444] predictive_accuracy 0.7529411764705882 predictive_accuracy 0.7411764705882353 predictive_accuracy 0.7294117647058823 predictive_accuracy 0.7882352941176471 predictive_accuracy 0.7529411764705882 predictive_accuracy 0.8352941176470589 predictive_accuracy 0.7738095238095238 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7380952380952381 predictive_accuracy 0.6904761904761905 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 0.7529411764705882 [0.52381,0.5,1,1] recall 0.7411764705882353 [0.619048,0.5,0.954545,0.9] recall 0.7294117647058823 [0.47619,0.545455,0.909091,1] recall 0.788235294117647 [0.619048,0.590909,0.954545,1] recall 0.7529411764705882 [0.428571,0.636364,0.954545,1] recall 0.8352941176470589 [0.761905,0.681818,0.909091,1] recall 0.7738095238095238 [0.590909,0.636364,0.952381,0.947368] recall 0.7619047619047619 [0.590909,0.52381,0.952381,1] recall 0.7380952380952381 [0.571429,0.428571,0.954545,1] recall 0.6904761904761905 [0.428571,0.47619,1,0.85] relative_absolute_error 0.32956077026752567 relative_absolute_error 0.345254140280265 relative_absolute_error 0.3609475102930043 relative_absolute_error 0.28248066022930773 relative_absolute_error 0.32956077026752567 relative_absolute_error 0.21970718017835045 relative_absolute_error 0.30176199106859236 relative_absolute_error 0.3175374040383284 relative_absolute_error 0.34933029459565473 relative_absolute_error 0.4128448936130465 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 0.3514675116774037 root_mean_squared_error 0.3597384670922507 root_mean_squared_error 0.36782348707914075 root_mean_squared_error 0.32539568672798425 root_mean_squared_error 0.3514675116774037 root_mean_squared_error 0.2869720215917757 root_mean_squared_error 0.33629635456727464 root_mean_squared_error 0.3450327796711771 root_mean_squared_error 0.36187343222787294 root_mean_squared_error 0.3933978962347216 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.8309805527785729 root_relative_squared_error 0.8496566049456846 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.6628931597497634 root_relative_squared_error 0.77692881091243 root_relative_squared_error 0.7968441423411657 root_relative_squared_error 0.835830848755954 root_relative_squared_error 0.9086439296864952 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 54.3971659935778 usercpu_time_millis 53.92104999918956 usercpu_time_millis 53.81472299632151 usercpu_time_millis 55.55540100613143 usercpu_time_millis 53.40714300109539 usercpu_time_millis 54.18454798927996 usercpu_time_millis 52.93180599983316 usercpu_time_millis 52.290734005509876 usercpu_time_millis 52.212930997484364 usercpu_time_millis 52.8660400013905 usercpu_time_millis_testing 4.668451001634821 usercpu_time_millis_testing 4.592425000737421 usercpu_time_millis_testing 4.664213003707118 usercpu_time_millis_testing 4.609661002177745 usercpu_time_millis_testing 4.632463998859748 usercpu_time_millis_testing 4.54569399880711 usercpu_time_millis_testing 4.480178002268076 usercpu_time_millis_testing 4.507927005761303 usercpu_time_millis_testing 4.552320999209769 usercpu_time_millis_testing 4.475933004869148 usercpu_time_millis_training 49.72871499194298 usercpu_time_millis_training 49.32862499845214 usercpu_time_millis_training 49.15050999261439 usercpu_time_millis_training 50.94574000395369 usercpu_time_millis_training 48.774679002235644 usercpu_time_millis_training 49.63885399047285 usercpu_time_millis_training 48.45162799756508 usercpu_time_millis_training 47.78280699974857 usercpu_time_millis_training 47.660609998274595 usercpu_time_millis_training 48.390106996521354 wall_clock_time_millis 54.41761016845703 wall_clock_time_millis 54.006099700927734 wall_clock_time_millis 53.9250373840332 wall_clock_time_millis 55.67765235900879 wall_clock_time_millis 53.514719009399414 wall_clock_time_millis 54.270267486572266 wall_clock_time_millis 53.04455757141113 wall_clock_time_millis 52.40273475646973 wall_clock_time_millis 52.23512649536133 wall_clock_time_millis 52.88887023925781 wall_clock_time_millis_testing 4.681110382080078 wall_clock_time_millis_testing 4.60505485534668 wall_clock_time_millis_testing 4.676103591918945 wall_clock_time_millis_testing 4.621028900146484 wall_clock_time_millis_testing 4.644870758056641 wall_clock_time_millis_testing 4.557132720947266 wall_clock_time_millis_testing 4.491090774536133 wall_clock_time_millis_testing 4.51970100402832 wall_clock_time_millis_testing 4.564046859741211 wall_clock_time_millis_testing 4.489660263061523 wall_clock_time_millis_training 49.73649978637695 wall_clock_time_millis_training 49.401044845581055 wall_clock_time_millis_training 49.24893379211426 wall_clock_time_millis_training 51.056623458862305 wall_clock_time_millis_training 48.86984825134277 wall_clock_time_millis_training 49.713134765625 wall_clock_time_millis_training 48.553466796875 wall_clock_time_millis_training 47.883033752441406 wall_clock_time_millis_training 47.67107963562012 wall_clock_time_millis_training 48.39920997619629