10329350 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) 8184970 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 0.6157059094805306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.704295099468238 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.010149764127328098 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 19882 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 21580397 description https://api.openml.org/data/download/21580397/description.xml -1 21580398 predictions https://api.openml.org/data/download/21580398/predictions.arff area_under_roc_curve 0.813488697596293 [0.643779,0.734195,0.948402,0.932957] average_cost 0 f_measure 0.6963156693354713 [0.454829,0.604119,0.900433,0.830508] kappa 0.626868199252255 kb_relative_information_score 0.663039891375345 mean_absolute_error 0.1400709219858156 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7102712905693997 [0.669725,0.6,0.852459,0.717949] predictive_accuracy 0.7198581560283688 prior_entropy 1.9990667866719984 recall 0.7198581560283688 [0.34434,0.608295,0.954128,0.984925] relative_absolute_error 0.37368112543962456 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.37426050016775164 root_relative_squared_error 0.8645020213112687 total_cost 0 area_under_roc_curve 0.8439598595848598 [0.674851,0.808081,0.969336,0.923077] area_under_roc_curve 0.7959764194139195 [0.61942,0.716089,0.93759,0.913462] area_under_roc_curve 0.835290750915751 [0.627232,0.814935,0.953463,0.946154] area_under_roc_curve 0.8039129273504274 [0.61942,0.762626,0.921717,0.913462] area_under_roc_curve 0.7882879273504274 [0.556176,0.677489,0.984127,0.938462] area_under_roc_curve 0.8438358516483517 [0.682664,0.808081,0.9614,0.923077] area_under_roc_curve 0.8330064201031943 [0.678886,0.753666,0.968254,0.953846] area_under_roc_curve 0.8089917754736303 [0.677419,0.666667,0.944444,0.960938] area_under_roc_curve 0.810255856374808 [0.730159,0.650794,0.930352,0.929688] area_under_roc_curve 0.7695612519201228 [0.563492,0.674603,0.912757,0.928125] 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 0.7468606367278093 [0.516129,0.711111,0.954545,0.8] f_measure 0.6650743985537477 [0.4,0.577778,0.875,0.808511] f_measure 0.7221320190968346 [0.413793,0.708333,0.913043,0.851064] f_measure 0.6750093430741916 [0.4,0.651163,0.84,0.808511] f_measure 0.6445694799658994 [0.266667,0.521739,0.956522,0.833333] f_measure 0.7456209150326797 [0.533333,0.711111,0.933333,0.8] f_measure 0.7379528366370471 [0.526316,0.636364,0.952381,0.863636] f_measure 0.6960506424792139 [0.52381,0.5,0.888889,0.888889] f_measure 0.6983665228831717 [0.611111,0.473684,0.888889,0.816327] f_measure 0.6044040500360901 [0.24,0.510638,0.823529,0.844444] kappa 0.6866359447004607 kappa 0.5921004060538944 kappa 0.6704818165035997 kappa 0.6077888519748985 kappa 0.5765682656826568 kappa 0.6865781710914454 kappa 0.6674208144796381 kappa 0.6194072116292241 kappa 0.6194790486976218 kappa 0.5393343419062028 kb_relative_information_score 0.7169306457456617 kb_relative_information_score 0.6317561342439885 kb_relative_information_score 0.7026002682948317 kb_relative_information_score 0.6458263057431887 kb_relative_information_score 0.6178936189327408 kb_relative_information_score 0.7169306457456617 kb_relative_information_score 0.6993680306254184 kb_relative_information_score 0.6570283975153659 kb_relative_information_score 0.65710388921339 kb_relative_information_score 0.5843529585834856 mean_absolute_error 0.11764705882352941 mean_absolute_error 0.15294117647058825 mean_absolute_error 0.12352941176470589 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.1588235294117647 mean_absolute_error 0.11764705882352941 mean_absolute_error 0.125 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.17261904761904762 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 0.7816197783461211 [0.8,0.695652,0.954545,0.666667] precision 0.6856245582588293 [0.666667,0.565217,0.807692,0.703704] precision 0.7552874141109435 [0.75,0.653846,0.875,0.740741] precision 0.6969498910675381 [0.666667,0.666667,0.75,0.703704] precision 0.6445378151260505 [0.444444,0.5,0.916667,0.714286] precision 0.7928388746803068 [0.888889,0.695652,0.913043,0.666667] precision 0.7403571428571428 [0.625,0.636364,0.952381,0.76] precision 0.6928571428571428 [0.55,0.6,0.833333,0.8] precision 0.7076331582108105 [0.733333,0.529412,0.869565,0.689655] precision 0.6734921687507894 [0.75,0.461538,0.724138,0.76] predictive_accuracy 0.7647058823529411 predictive_accuracy 0.6941176470588235 predictive_accuracy 0.7529411764705882 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.6823529411764706 predictive_accuracy 0.7647058823529411 predictive_accuracy 0.75 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6547619047619048 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 0.7647058823529411 [0.380952,0.727273,0.954545,1] recall 0.6941176470588235 [0.285714,0.590909,0.954545,0.95] recall 0.7529411764705882 [0.285714,0.772727,0.954545,1] recall 0.7058823529411765 [0.285714,0.636364,0.954545,0.95] recall 0.6823529411764706 [0.190476,0.545455,1,1] recall 0.7647058823529411 [0.380952,0.727273,0.954545,1] recall 0.75 [0.454545,0.636364,0.952381,1] recall 0.7142857142857143 [0.5,0.428571,0.952381,1] recall 0.7142857142857143 [0.52381,0.428571,0.909091,1] recall 0.6547619047619048 [0.142857,0.571429,0.954545,0.95] relative_absolute_error 0.3138674002547863 relative_absolute_error 0.4080276203312223 relative_absolute_error 0.32956077026752567 relative_absolute_error 0.392334250318483 relative_absolute_error 0.4237209903439616 relative_absolute_error 0.3138674002547863 relative_absolute_error 0.3335264111810758 relative_absolute_error 0.38104488484599414 relative_absolute_error 0.38108759410435056 relative_absolute_error 0.46048084287609037 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 0.3429971702850177 root_mean_squared_error 0.39107694443752145 root_mean_squared_error 0.3514675116774037 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.39852669849304284 root_mean_squared_error 0.3429971702850177 root_mean_squared_error 0.3535533905932738 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.4154744849194083 root_relative_squared_error 0.7923088694649917 root_relative_squared_error 0.9033711020520643 root_relative_squared_error 0.811874997684088 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 0.9205797169471016 root_relative_squared_error 0.7923088694649917 root_relative_squared_error 0.8167968864876305 root_relative_squared_error 0.8728990231522278 root_relative_squared_error 0.8729968495613873 root_relative_squared_error 0.9596349453693993 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 64.75308600056451 usercpu_time_millis 63.64630900498014 usercpu_time_millis 64.20394900487736 usercpu_time_millis 64.09003199951258 usercpu_time_millis 64.17930900352076 usercpu_time_millis 63.63177399907727 usercpu_time_millis 64.54849999863654 usercpu_time_millis 63.343880989123136 usercpu_time_millis 64.18984099582303 usercpu_time_millis 63.826015990343876 usercpu_time_millis_testing 5.428156000562012 usercpu_time_millis_testing 5.2457650017458946 usercpu_time_millis_testing 5.30371000058949 usercpu_time_millis_testing 5.426062998594716 usercpu_time_millis_testing 5.274177005048841 usercpu_time_millis_testing 5.264728999463841 usercpu_time_millis_testing 5.3554049954982474 usercpu_time_millis_testing 5.275481991702691 usercpu_time_millis_testing 5.359935996239074 usercpu_time_millis_testing 5.2683659887406975 usercpu_time_millis_training 59.324930000002496 usercpu_time_millis_training 58.400544003234245 usercpu_time_millis_training 58.90023900428787 usercpu_time_millis_training 58.66396900091786 usercpu_time_millis_training 58.905131998471916 usercpu_time_millis_training 58.36704499961343 usercpu_time_millis_training 59.193095003138296 usercpu_time_millis_training 58.068398997420445 usercpu_time_millis_training 58.82990499958396 usercpu_time_millis_training 58.55765000160318 wall_clock_time_millis 64.77546691894531 wall_clock_time_millis 63.66848945617676 wall_clock_time_millis 64.23616409301758 wall_clock_time_millis 64.11337852478027 wall_clock_time_millis 64.20207023620605 wall_clock_time_millis 63.738107681274414 wall_clock_time_millis 64.58353996276855 wall_clock_time_millis 63.36522102355957 wall_clock_time_millis 64.21327590942383 wall_clock_time_millis 79.90026473999023 wall_clock_time_millis_testing 5.439996719360352 wall_clock_time_millis_testing 5.257844924926758 wall_clock_time_millis_testing 5.31458854675293 wall_clock_time_millis_testing 5.438089370727539 wall_clock_time_millis_testing 5.286931991577148 wall_clock_time_millis_testing 5.276918411254883 wall_clock_time_millis_testing 5.367755889892578 wall_clock_time_millis_testing 5.285739898681641 wall_clock_time_millis_testing 5.3730010986328125 wall_clock_time_millis_testing 21.279335021972656 wall_clock_time_millis_training 59.33547019958496 wall_clock_time_millis_training 58.41064453125 wall_clock_time_millis_training 58.92157554626465 wall_clock_time_millis_training 58.675289154052734 wall_clock_time_millis_training 58.915138244628906 wall_clock_time_millis_training 58.46118927001953 wall_clock_time_millis_training 59.21578407287598 wall_clock_time_millis_training 58.07948112487793 wall_clock_time_millis_training 58.840274810791016 wall_clock_time_millis_training 58.62092971801758