10329334 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) 8184954 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 1770.5746268532694 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00018316061302407925 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 43655 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 21580365 description https://api.openml.org/data/download/21580365/description.xml -1 21580366 predictions https://api.openml.org/data/download/21580366/predictions.arff area_under_roc_curve 0.8672409136479409 [0.768689,0.766303,0.967415,0.97256] average_cost 0 f_measure 0.798683844216026 [0.654028,0.657143,0.945701,0.946078] kappa 0.7351925205227288 kb_relative_information_score 0.761275777370092 mean_absolute_error 0.09929078014184398 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.7966889634126668 [0.657143,0.679803,0.933036,0.923445] predictive_accuracy 0.801418439716312 prior_entropy 1.9990667866719984 recall 0.8014184397163121 [0.650943,0.635945,0.958716,0.969849] 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 0.8821848290598292 [0.762649,0.808081,0.977273,0.984615] area_under_roc_curve 0.8506829975579975 [0.762649,0.731962,0.938672,0.976923] area_under_roc_curve 0.8587473290598292 [0.739211,0.739899,0.977273,0.984615] area_under_roc_curve 0.8741243131868133 [0.770461,0.79329,0.953463,0.984615] area_under_roc_curve 0.8738839285714286 [0.754836,0.769481,0.977273,1] area_under_roc_curve 0.9216231684981685 [0.881696,0.832973,0.984127,0.992308] area_under_roc_curve 0.8714679585647327 [0.784457,0.784457,0.968254,0.965992] area_under_roc_curve 0.8564948156682026 [0.76173,0.746032,0.944444,0.984375] area_under_roc_curve 0.8731358806963646 [0.801587,0.761905,0.969208,0.959375] area_under_roc_curve 0.8093918010752688 [0.666667,0.690476,0.983871,0.892188] 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 0.8215345362951382 [0.65,0.711111,0.976744,0.952381] f_measure 0.7712585499316007 [0.65,0.604651,0.909091,0.930233] f_measure 0.7865025079799363 [0.604651,0.619048,0.976744,0.952381] f_measure 0.8056872091607119 [0.666667,0.697674,0.913043,0.952381] f_measure 0.8135678982436646 [0.634146,0.652174,0.976744,1] f_measure 0.879106993358263 [0.8,0.789474,0.956522,0.97561] f_measure 0.8095238095238095 [0.681818,0.681818,0.952381,0.947368] f_measure 0.7774169643377546 [0.651163,0.631579,0.888889,0.952381] f_measure 0.8075922399589444 [0.697674,0.65,0.954545,0.926829] f_measure 0.7155841457273058 [0.5,0.536585,0.956522,0.864865] kappa 0.7646733111849391 kappa 0.702029520295203 kappa 0.7177642501383508 kappa 0.7489385268598855 kappa 0.7488457987072945 kappa 0.8432023611879726 kappa 0.7457434733257662 kappa 0.7143396939353863 kappa 0.7459837459837461 kappa 0.6185430463576159 kb_relative_information_score 0.7879320181207374 kb_relative_information_score 0.731676746539196 kb_relative_information_score 0.7457215036231369 kb_relative_information_score 0.7738618466215372 kb_relative_information_score 0.7738618466215372 kb_relative_information_score 0.8589079760805534 kb_relative_information_score 0.7707360953320791 kb_relative_information_score 0.7428106225599044 kb_relative_information_score 0.7709827290274327 kb_relative_information_score 0.6550562964425504 mean_absolute_error 0.08823529411764706 mean_absolute_error 0.11176470588235295 mean_absolute_error 0.10588235294117647 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.058823529411764705 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.10714285714285714 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 0.821818671300432 [0.684211,0.695652,1,0.909091] precision 0.7691620355235914 [0.684211,0.619048,0.909091,0.869565] precision 0.786951871657754 [0.590909,0.65,1,0.909091] precision 0.8036796536796538 [0.722222,0.714286,0.875,0.909091] precision 0.8164705882352942 [0.65,0.625,1,1] precision 0.8892857142857142 [0.75,0.9375,0.916667,0.952381] precision 0.8095238095238095 [0.681818,0.681818,0.952381,0.947368] precision 0.7758573126220185 [0.666667,0.705882,0.833333,0.909091] precision 0.8069266781672797 [0.681818,0.684211,0.954545,0.904762] precision 0.7212342183250112 [0.478261,0.55,0.916667,0.941176] predictive_accuracy 0.823529411764706 predictive_accuracy 0.776470588235294 predictive_accuracy 0.7882352941176471 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8823529411764706 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.7857142857142857 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 0.8235294117647058 [0.619048,0.727273,0.954545,1] recall 0.7764705882352941 [0.619048,0.590909,0.909091,1] recall 0.788235294117647 [0.619048,0.590909,0.954545,1] recall 0.8117647058823529 [0.619048,0.681818,0.954545,1] recall 0.8117647058823529 [0.619048,0.681818,0.954545,1] recall 0.8823529411764706 [0.857143,0.681818,1,1] recall 0.8095238095238095 [0.681818,0.681818,0.952381,0.947368] recall 0.7857142857142857 [0.636364,0.571429,0.952381,1] recall 0.8095238095238095 [0.714286,0.619048,0.954545,0.95] recall 0.7142857142857143 [0.52381,0.52381,1,0.8] relative_absolute_error 0.2354005501910898 relative_absolute_error 0.2981740302420471 relative_absolute_error 0.28248066022930773 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.15693370012739316 relative_absolute_error 0.25411536089986725 relative_absolute_error 0.2857836636344956 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 0.2970442628930023 root_mean_squared_error 0.33431228796194873 root_mean_squared_error 0.32539568672798425 root_mean_squared_error 0.3067859955389482 root_mean_squared_error 0.3067859955389482 root_mean_squared_error 0.24253562503633297 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.32732683535398854 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3779644730092272 root_relative_squared_error 0.6861596086004116 root_relative_squared_error 0.7722471608243364 root_relative_squared_error 0.7516501913587222 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.5602469743929427 root_relative_squared_error 0.7129587732826324 root_relative_squared_error 0.7559527289884501 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 49.031738002668135 usercpu_time_millis 46.155067000654526 usercpu_time_millis 46.618051987024955 usercpu_time_millis 44.83010001422372 usercpu_time_millis 45.602948986925185 usercpu_time_millis 46.16659300518222 usercpu_time_millis 46.6021830070531 usercpu_time_millis 45.69261100550648 usercpu_time_millis 45.93311900680419 usercpu_time_millis 45.84458300087135 usercpu_time_millis_testing 3.564714003005065 usercpu_time_millis_testing 3.61729999713134 usercpu_time_millis_testing 3.616012996644713 usercpu_time_millis_testing 3.5703880130313337 usercpu_time_millis_testing 3.623282987973653 usercpu_time_millis_testing 3.6483599978964776 usercpu_time_millis_testing 3.5894030006602407 usercpu_time_millis_testing 3.569282009266317 usercpu_time_millis_testing 3.592357999878004 usercpu_time_millis_testing 3.527289009070955 usercpu_time_millis_training 45.46702399966307 usercpu_time_millis_training 42.537767003523186 usercpu_time_millis_training 43.00203899038024 usercpu_time_millis_training 41.25971200119238 usercpu_time_millis_training 41.97966599895153 usercpu_time_millis_training 42.518233007285744 usercpu_time_millis_training 43.01278000639286 usercpu_time_millis_training 42.12332899624016 usercpu_time_millis_training 42.340761006926186 usercpu_time_millis_training 42.3172939918004 wall_clock_time_millis 49.05104637145996 wall_clock_time_millis 46.192169189453125 wall_clock_time_millis 46.66757583618164 wall_clock_time_millis 44.88015174865723 wall_clock_time_millis 45.624494552612305 wall_clock_time_millis 46.22244834899902 wall_clock_time_millis 46.65064811706543 wall_clock_time_millis 45.71533203125 wall_clock_time_millis 45.952796936035156 wall_clock_time_millis 45.864105224609375 wall_clock_time_millis_testing 3.575563430786133 wall_clock_time_millis_testing 3.629446029663086 wall_clock_time_millis_testing 3.6270618438720703 wall_clock_time_millis_testing 3.5800933837890625 wall_clock_time_millis_testing 3.6346912384033203 wall_clock_time_millis_testing 3.6728382110595703 wall_clock_time_millis_testing 3.60107421875 wall_clock_time_millis_testing 3.5805702209472656 wall_clock_time_millis_testing 3.603219985961914 wall_clock_time_millis_testing 3.5369396209716797 wall_clock_time_millis_training 45.47548294067383 wall_clock_time_millis_training 42.56272315979004 wall_clock_time_millis_training 43.04051399230957 wall_clock_time_millis_training 41.300058364868164 wall_clock_time_millis_training 41.989803314208984 wall_clock_time_millis_training 42.54961013793945 wall_clock_time_millis_training 43.04957389831543 wall_clock_time_millis_training 42.134761810302734 wall_clock_time_millis_training 42.34957695007324 wall_clock_time_millis_training 42.327165603637695