10326740 8323 Heinrich Peters 9952 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182410 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 3669.093652813606 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9360680957957512 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 4.681182788016613e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 26326 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. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 21575166 description https://api.openml.org/data/download/21575166/description.xml -1 21575167 predictions https://api.openml.org/data/download/21575167/predictions.arff area_under_roc_curve 0.7199021427009645 [0.719902,0.719902] average_cost 0 f_measure 0.7736597650691226 [0.84379,0.604833] kappa 0.44890492985523356 kb_relative_information_score 0.4180047897412795 mean_absolute_error 0.2239082161361954 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.7719270037933826 [0.831976,0.627371] predictive_accuracy 0.7760917838638046 prior_entropy 0.8731822780289229 recall 0.7760917838638046 [0.855946,0.583859] relative_absolute_error 0.5398816450838121 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.4731894083093951 root_relative_squared_error 1.0391561104658829 total_cost 0 area_under_roc_curve 0.7199364483519377 [0.719936,0.719936] area_under_roc_curve 0.7587260034904014 [0.758726,0.758726] area_under_roc_curve 0.6887615660706642 [0.688762,0.688762] area_under_roc_curve 0.721772201916428 [0.721772,0.721772] area_under_roc_curve 0.7014712704619259 [0.701471,0.701471] area_under_roc_curve 0.737921664788919 [0.737922,0.737922] area_under_roc_curve 0.7388991980913248 [0.738899,0.738899] area_under_roc_curve 0.7014712704619259 [0.701471,0.701471] area_under_roc_curve 0.708215718318229 [0.708216,0.708216] area_under_roc_curve 0.7218590600703214 [0.721859,0.721859] 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 0.7750767719444968 [0.845758,0.605263] f_measure 0.7974006582799521 [0.855263,0.658385] f_measure 0.7488357286713545 [0.827763,0.559211] f_measure 0.7755543324862769 [0.845361,0.607843] f_measure 0.7623051087957797 [0.838875,0.577181] f_measure 0.7818818769247134 [0.845144,0.628931] f_measure 0.7888916201071979 [0.853816,0.631922] f_measure 0.7623051087957797 [0.838875,0.577181] f_measure 0.7639002887976896 [0.837209,0.588235] f_measure 0.7790847853921952 [0.850192,0.608696] kappa 0.45147608023387464 kappa 0.5136800470711297 kappa 0.3874816229278267 kappa 0.4535353535353534 kappa 0.4168666438121359 kappa 0.47408385605810494 kappa 0.4859135943923974 kappa 0.4168666438121359 kappa 0.4257937110739786 kappa 0.4597229348383786 kb_relative_information_score 0.4238008025191769 kb_relative_information_score 0.4718174023092451 kb_relative_information_score 0.35657756281308134 kb_relative_information_score 0.42380080251917684 kb_relative_information_score 0.39271902873578474 kb_relative_information_score 0.43127655072081417 kb_relative_information_score 0.4553750019614574 kb_relative_information_score 0.39271902873578485 kb_relative_information_score 0.39434842812241677 kb_relative_information_score 0.4376092546851016 mean_absolute_error 0.22181146025878004 mean_absolute_error 0.2033271719038817 mean_absolute_error 0.2476894639556377 mean_absolute_error 0.22181146025878004 mean_absolute_error 0.23333333333333334 mean_absolute_error 0.21851851851851853 mean_absolute_error 0.20925925925925926 mean_absolute_error 0.23333333333333334 mean_absolute_error 0.23333333333333334 mean_absolute_error 0.21666666666666667 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.7731080323278677 [0.830808,0.634483] precision 0.7982216754996089 [0.859788,0.650307] precision 0.7464381851532084 [0.813131,0.586207] precision 0.7737559870960404 [0.832487,0.632653] precision 0.7598095238095238 [0.82,0.614286] precision 0.7823050682261209 [0.847368,0.625] precision 0.7875243564338812 [0.84399,0.651007] precision 0.7598095238095238 [0.82,0.614286] precision 0.7619514981565146 [0.824427,0.612245] precision 0.777 [0.83,0.65] predictive_accuracy 0.7781885397412199 predictive_accuracy 0.7966728280961184 predictive_accuracy 0.7523105360443623 predictive_accuracy 0.7781885397412199 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7814814814814816 predictive_accuracy 0.7907407407407407 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7833333333333333 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 recall 0.7781885397412199 [0.861257,0.578616] recall 0.7966728280961183 [0.850785,0.666667] recall 0.7523105360443623 [0.842932,0.534591] recall 0.7781885397412199 [0.858639,0.584906] recall 0.7666666666666667 [0.858639,0.544304] recall 0.7814814814814814 [0.842932,0.632911] recall 0.7907407407407407 [0.863874,0.613924] recall 0.7666666666666667 [0.858639,0.544304] recall 0.7666666666666667 [0.850394,0.566038] recall 0.7833333333333333 [0.871391,0.572327] relative_absolute_error 0.5346057332163123 relative_absolute_error 0.49005525544828626 relative_absolute_error 0.5969764020915487 relative_absolute_error 0.5346057332163123 relative_absolute_error 0.5631082408261661 relative_absolute_error 0.527355336646727 relative_absolute_error 0.5050097715345775 relative_absolute_error 0.5631082408261661 relative_absolute_error 0.5620711166562696 relative_absolute_error 0.5219231797522504 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.4709686404196993 root_mean_squared_error 0.4509181432409675 root_mean_squared_error 0.49768410056544676 root_mean_squared_error 0.4709686404196993 root_mean_squared_error 0.48304589153964794 root_mean_squared_error 0.46745964373250287 root_mean_squared_error 0.45744864111642003 root_mean_squared_error 0.48304589153964794 root_mean_squared_error 0.48304589153964794 root_mean_squared_error 0.4654746681256314 root_relative_squared_error 1.033853239193045 root_relative_squared_error 0.9898391166451188 root_relative_squared_error 1.0924980461670308 root_relative_squared_error 1.033853239193045 root_relative_squared_error 1.061746749764808 root_relative_squared_error 1.02748779375233 root_relative_squared_error 1.0054833637888871 root_relative_squared_error 1.061746749764808 root_relative_squared_error 1.0597911531867192 root_relative_squared_error 1.0212403085340769 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 1352.9545290002716 usercpu_time_millis 1204.6460569981718 usercpu_time_millis 1177.1699250020902 usercpu_time_millis 1199.586779002857 usercpu_time_millis 1195.7038429973181 usercpu_time_millis 1138.0223400046816 usercpu_time_millis 1249.6115770045435 usercpu_time_millis 1210.560705003445 usercpu_time_millis 1343.0917229998158 usercpu_time_millis 1261.1424360002275 usercpu_time_millis_testing 69.85118600277929 usercpu_time_millis_testing 74.46037699992303 usercpu_time_millis_testing 69.64506200165488 usercpu_time_millis_testing 70.23581300018122 usercpu_time_millis_testing 70.3450619985233 usercpu_time_millis_testing 69.62974300404312 usercpu_time_millis_testing 70.63667200418422 usercpu_time_millis_testing 70.04946900269715 usercpu_time_millis_testing 69.86177900398616 usercpu_time_millis_testing 70.70662399928551 usercpu_time_millis_training 1283.1033429974923 usercpu_time_millis_training 1130.1856799982488 usercpu_time_millis_training 1107.5248630004353 usercpu_time_millis_training 1129.3509660026757 usercpu_time_millis_training 1125.3587809987948 usercpu_time_millis_training 1068.3925970006385 usercpu_time_millis_training 1178.9749050003593 usercpu_time_millis_training 1140.5112360007479 usercpu_time_millis_training 1273.2299439958297 usercpu_time_millis_training 1190.435812000942 wall_clock_time_millis 1373.0583190917969 wall_clock_time_millis 1204.8022747039795 wall_clock_time_millis 1177.3099899291992 wall_clock_time_millis 1199.8045444488525 wall_clock_time_millis 1195.8320140838623 wall_clock_time_millis 1138.1597518920898 wall_clock_time_millis 1249.7541904449463 wall_clock_time_millis 1210.7951641082764 wall_clock_time_millis 1343.2157039642334 wall_clock_time_millis 1261.4140510559082 wall_clock_time_millis_testing 69.86498832702637 wall_clock_time_millis_testing 74.47624206542969 wall_clock_time_millis_testing 69.66066360473633 wall_clock_time_millis_testing 70.25146484375 wall_clock_time_millis_testing 70.36304473876953 wall_clock_time_millis_testing 69.64516639709473 wall_clock_time_millis_testing 70.65367698669434 wall_clock_time_millis_testing 70.06692886352539 wall_clock_time_millis_testing 69.87810134887695 wall_clock_time_millis_testing 70.7235336303711 wall_clock_time_millis_training 1303.1933307647705 wall_clock_time_millis_training 1130.3260326385498 wall_clock_time_millis_training 1107.649326324463 wall_clock_time_millis_training 1129.5530796051025 wall_clock_time_millis_training 1125.4689693450928 wall_clock_time_millis_training 1068.5145854949951 wall_clock_time_millis_training 1179.100513458252 wall_clock_time_millis_training 1140.728235244751 wall_clock_time_millis_training 1273.3376026153564 wall_clock_time_millis_training 1190.690517425537