10330414 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186024 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 5.3824120488001554 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.06797377929157812 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 62615 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. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21582525 description https://api.openml.org/data/download/21582525/description.xml -1 21582526 predictions https://api.openml.org/data/download/21582526/predictions.arff area_under_roc_curve 0.5376449800107549 [0.537645,0.537645] average_cost 0 f_measure 0.46005661683123916 [0.155968,0.716753] kappa 0.0809831278605508 kb_relative_information_score 0.1428904537280535 mean_absolute_error 0.4241535590509198 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7051762938572227 [0.875,0.56182] predictive_accuracy 0.5758464409490802 prior_entropy 0.9948419333531207 recall 0.5758464409490802 [0.085614,0.989676] relative_absolute_error 0.8544060984699713 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.6512707263887421 root_relative_squared_error 1.307217940543475 total_cost 0 area_under_roc_curve 0.5494186046511628 [0.549419,0.549419] area_under_roc_curve 0.5241436590674762 [0.524144,0.524144] area_under_roc_curve 0.5304015351128423 [0.530402,0.530402] area_under_roc_curve 0.5377906976744186 [0.537791,0.537791] area_under_roc_curve 0.5337524344140221 [0.533752,0.533752] area_under_roc_curve 0.5424733646465804 [0.542473,0.542473] area_under_roc_curve 0.5319767441860465 [0.531977,0.531977] area_under_roc_curve 0.538484692122463 [0.538485,0.538485] area_under_roc_curve 0.545751633986928 [0.545752,0.545752] area_under_roc_curve 0.5423546611627107 [0.542355,0.542355] 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 0.47547443787192856 [0.179894,0.724689] f_measure 0.4343356378347929 [0.108696,0.710247] f_measure 0.448723252820474 [0.138298,0.711744] f_measure 0.45345477158574504 [0.140541,0.718584] f_measure 0.4574634709825262 [0.157068,0.711986] f_measure 0.47261460110262304 [0.185567,0.715827] f_measure 0.4427616541860622 [0.120219,0.716049] f_measure 0.46024799816975526 [0.150538,0.719858] f_measure 0.48068649410368613 [0.195876,0.719424] f_measure 0.47238565501222257 [0.17801,0.719141] kappa 0.1063542688910697 kappa 0.051979282278949386 kappa 0.06532709705212625 kappa 0.08132135648583254 kappa 0.07242391187451025 kappa 0.09100671964652808 kappa 0.06887617402569365 kappa 0.08310120705663888 kappa 0.09839097466247447 kappa 0.09122482056031488 kb_relative_information_score 0.16691593011640843 kb_relative_information_score 0.11645744442992216 kb_relative_information_score 0.12723235364419141 kb_relative_information_score 0.14339471746559515 kb_relative_information_score 0.132619808251326 kb_relative_information_score 0.1487821720727298 kb_relative_information_score 0.13261980825132583 kb_relative_information_score 0.1482245207752094 kb_relative_information_score 0.15900648886666244 kb_relative_information_score 0.15361550482093603 mean_absolute_error 0.4122340425531915 mean_absolute_error 0.43733333333333335 mean_absolute_error 0.432 mean_absolute_error 0.424 mean_absolute_error 0.42933333333333334 mean_absolute_error 0.42133333333333334 mean_absolute_error 0.42933333333333334 mean_absolute_error 0.42133333333333334 mean_absolute_error 0.416 mean_absolute_error 0.4186666666666667 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7657500148165709 [1,0.568245] precision 0.6819687786960514 [0.833333,0.553719] precision 0.6742451253481895 [0.8125,0.557103] precision 0.762232044198895 [1,0.560773] precision 0.6647045140942243 [0.789474,0.558989] precision 0.6804436432311787 [0.818182,0.563739] precision 0.7605641025641026 [1,0.557692] precision 0.7323555555555555 [0.933333,0.563889] precision 0.6857865612648222 [0.826087,0.568182] precision 0.6956112676056339 [0.85,0.566197] predictive_accuracy 0.5877659574468086 predictive_accuracy 0.5626666666666666 predictive_accuracy 0.568 predictive_accuracy 0.5760000000000001 predictive_accuracy 0.5706666666666667 predictive_accuracy 0.5786666666666667 predictive_accuracy 0.5706666666666667 predictive_accuracy 0.5786666666666667 predictive_accuracy 0.584 predictive_accuracy 0.5813333333333334 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.5877659574468085 [0.098837,1] recall 0.5626666666666666 [0.05814,0.990148] recall 0.568 [0.075581,0.985222] recall 0.576 [0.075581,1] recall 0.5706666666666667 [0.087209,0.980296] recall 0.5786666666666667 [0.104651,0.980296] recall 0.5706666666666667 [0.063953,1] recall 0.5786666666666667 [0.081871,0.995098] recall 0.584 [0.111111,0.980392] recall 0.5813333333333334 [0.099415,0.985294] relative_absolute_error 0.8304377494675172 relative_absolute_error 0.8808169737282726 relative_absolute_error 0.8700753033169524 relative_absolute_error 0.8539627976999716 relative_absolute_error 0.8647044681112922 relative_absolute_error 0.8485919624943115 relative_absolute_error 0.8647044681112922 relative_absolute_error 0.8489771023842556 relative_absolute_error 0.838230556784455 relative_absolute_error 0.8436038295843552 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.6420545479577194 root_mean_squared_error 0.6613118276073198 root_mean_squared_error 0.6572670690061994 root_mean_squared_error 0.6511528238439882 root_mean_squared_error 0.6552353266829661 root_mean_squared_error 0.6491019437140312 root_mean_squared_error 0.6552353266829661 root_mean_squared_error 0.6491019437140312 root_mean_squared_error 0.644980619863884 root_mean_squared_error 0.6470445631227162 root_relative_squared_error 1.2887847088004005 root_relative_squared_error 1.3271640460720957 root_relative_squared_error 1.3190467586346852 root_relative_squared_error 1.3067762895316053 root_relative_squared_error 1.3149693245866143 root_relative_squared_error 1.3026604484750035 root_relative_squared_error 1.3149693245866143 root_relative_squared_error 1.3032517144696998 root_relative_squared_error 1.2949770167498673 root_relative_squared_error 1.2991209537950263 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 45988.343113000155 usercpu_time_millis 45942.14830599958 usercpu_time_millis 46295.51190701022 usercpu_time_millis 45779.66687500884 usercpu_time_millis 45898.336194994044 usercpu_time_millis 45358.5193209874 usercpu_time_millis 45780.97812298802 usercpu_time_millis 45399.22332999413 usercpu_time_millis 46099.75588299858 usercpu_time_millis 45982.49027901329 usercpu_time_millis_testing 4521.6490610037 usercpu_time_millis_testing 4450.423022004543 usercpu_time_millis_testing 4436.656360005145 usercpu_time_millis_testing 4440.977869002381 usercpu_time_millis_testing 4492.394442000659 usercpu_time_millis_testing 4440.243974997429 usercpu_time_millis_testing 4460.502606991213 usercpu_time_millis_testing 4573.781075989245 usercpu_time_millis_testing 4474.376140002278 usercpu_time_millis_testing 4470.386266009882 usercpu_time_millis_training 41466.694051996456 usercpu_time_millis_training 41491.72528399504 usercpu_time_millis_training 41858.85554700508 usercpu_time_millis_training 41338.68900600646 usercpu_time_millis_training 41405.941752993385 usercpu_time_millis_training 40918.27534598997 usercpu_time_millis_training 41320.475515996804 usercpu_time_millis_training 40825.44225400488 usercpu_time_millis_training 41625.3797429963 usercpu_time_millis_training 41512.10401300341 wall_clock_time_millis 50579.2076587677 wall_clock_time_millis 47686.52248382568 wall_clock_time_millis 46631.36291503906 wall_clock_time_millis 49354.77137565613 wall_clock_time_millis 50109.66086387634 wall_clock_time_millis 48663.745164871216 wall_clock_time_millis 49884.92846488953 wall_clock_time_millis 50603.46698760986 wall_clock_time_millis 49774.524450302124 wall_clock_time_millis 46521.47960662842 wall_clock_time_millis_testing 4846.309423446655 wall_clock_time_millis_testing 4450.9437084198 wall_clock_time_millis_testing 4437.063932418823 wall_clock_time_millis_testing 5044.248342514038 wall_clock_time_millis_testing 5032.449007034302 wall_clock_time_millis_testing 4876.720190048218 wall_clock_time_millis_testing 4712.913274765015 wall_clock_time_millis_testing 4830.169916152954 wall_clock_time_millis_testing 4524.106502532959 wall_clock_time_millis_testing 4487.99991607666 wall_clock_time_millis_training 45732.898235321045 wall_clock_time_millis_training 43235.578775405884 wall_clock_time_millis_training 42194.29898262024 wall_clock_time_millis_training 44310.52303314209 wall_clock_time_millis_training 45077.21185684204 wall_clock_time_millis_training 43787.024974823 wall_clock_time_millis_training 45172.01519012451 wall_clock_time_millis_training 45773.29707145691 wall_clock_time_millis_training 45250.417947769165 wall_clock_time_millis_training 42033.47969055176