10330571 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) 8186154 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 0.7572726382539152 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.4813122570452757 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.06810078725839559 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 37315 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 21582841 description https://api.openml.org/data/download/21582841/description.xml -1 21582842 predictions https://api.openml.org/data/download/21582842/predictions.arff area_under_roc_curve 0.5097459381544609 [0.509746,0.509746] average_cost 0 f_measure 0.4021033136046101 [0.041002,0.706927] kappa 0.021098649739726427 kb_relative_information_score 0.09278914146953644 mean_absolute_error 0.4489469474806718 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7192254810741892 [0.923077,0.547144] predictive_accuracy 0.5510530525193282 prior_entropy 0.9948419333531207 recall 0.5510530525193281 [0.020967,0.998525] relative_absolute_error 0.9043493839242184 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.670035034517354 root_relative_squared_error 1.3448812950191464 total_cost 0 area_under_roc_curve 0.502906976744186 [0.502907,0.502907] area_under_roc_curve 0.506257876045366 [0.506258,0.506258] area_under_roc_curve 0.5058139534883721 [0.505814,0.505814] area_under_roc_curve 0.5058139534883721 [0.505814,0.505814] area_under_roc_curve 0.5116279069767442 [0.511628,0.511628] area_under_roc_curve 0.5145348837209303 [0.514535,0.514535] area_under_roc_curve 0.5058139534883721 [0.505814,0.505814] area_under_roc_curve 0.5092449260405917 [0.509245,0.509245] area_under_roc_curve 0.5121689026487788 [0.512169,0.512169] area_under_roc_curve 0.5233918128654971 [0.523392,0.523392] 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 0.3876056772424094 [0.011561,0.704663] f_measure 0.39664449371766447 [0.034091,0.703833] f_measure 0.3921088761174968 [0.022989,0.704861] f_measure 0.3921088761174968 [0.022989,0.704861] f_measure 0.4037427937915742 [0.045455,0.707317] f_measure 0.4094759073564646 [0.056497,0.708551] f_measure 0.3921088761174968 [0.022989,0.704861] f_measure 0.40550776053215076 [0.045455,0.707317] f_measure 0.4112147188452096 [0.056497,0.708551] f_measure 0.42946730718429876 [0.089385,0.714536] kappa 0.006305637982195777 kappa 0.013524387224560425 kappa 0.012577057711966821 kappa 0.012577057711966821 kappa 0.02512998266897753 kappa 0.03139741705977878 kappa 0.012577057711966821 kappa 0.020065328978068203 kappa 0.026398022480294783 kappa 0.05069188836602535 kb_relative_information_score 0.08092015516068346 kb_relative_information_score 0.08413271678711474 kb_relative_information_score 0.08413271678711479 kb_relative_information_score 0.08413271678711469 kb_relative_information_score 0.09490762600138383 kb_relative_information_score 0.10029508060851847 kb_relative_information_score 0.08413271678711479 kb_relative_information_score 0.09431468031794456 kb_relative_information_score 0.09970566436367109 kb_relative_information_score 0.12126960054657708 mean_absolute_error 0.45478723404255317 mean_absolute_error 0.4533333333333333 mean_absolute_error 0.4533333333333333 mean_absolute_error 0.4533333333333333 mean_absolute_error 0.448 mean_absolute_error 0.44533333333333336 mean_absolute_error 0.4533333333333333 mean_absolute_error 0.448 mean_absolute_error 0.44533333333333336 mean_absolute_error 0.43466666666666665 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 0.7525957446808511 [1,0.544] precision 0.6387421383647799 [0.75,0.544474] precision 0.7532797140303843 [1,0.544236] precision 0.7532797140303843 [1,0.544236] precision 0.754867924528302 [1,0.54717] precision 0.7556684684684685 [1,0.548649] precision 0.7532797140303843 [1,0.544236] precision 0.6632648648648649 [0.8,0.548649] precision 0.6792737127371273 [0.833333,0.550136] precision 0.7583869209809263 [1,0.555858] predictive_accuracy 0.5452127659574468 predictive_accuracy 0.5466666666666666 predictive_accuracy 0.5466666666666666 predictive_accuracy 0.5466666666666666 predictive_accuracy 0.552 predictive_accuracy 0.5546666666666666 predictive_accuracy 0.5466666666666666 predictive_accuracy 0.552 predictive_accuracy 0.5546666666666666 predictive_accuracy 0.5653333333333334 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 0.5452127659574468 [0.005814,1] recall 0.5466666666666666 [0.017442,0.995074] recall 0.5466666666666666 [0.011628,1] recall 0.5466666666666666 [0.011628,1] recall 0.552 [0.023256,1] recall 0.5546666666666666 [0.02907,1] recall 0.5466666666666666 [0.011628,1] recall 0.552 [0.023392,0.995098] recall 0.5546666666666666 [0.02924,0.995098] recall 0.5653333333333334 [0.046784,1] relative_absolute_error 0.9161603558641641 relative_absolute_error 0.9130419849622338 relative_absolute_error 0.9130419849622338 relative_absolute_error 0.9130419849622338 relative_absolute_error 0.9023003145509135 relative_absolute_error 0.8969294793452534 relative_absolute_error 0.9130419849622338 relative_absolute_error 0.9027098303832592 relative_absolute_error 0.8973365575833588 relative_absolute_error 0.8758434663837573 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 0.6743791470994289 root_mean_squared_error 0.6733003292241385 root_mean_squared_error 0.6733003292241385 root_mean_squared_error 0.6733003292241385 root_mean_squared_error 0.6693280212272604 root_mean_squared_error 0.6673330003329173 root_mean_squared_error 0.6733003292241385 root_mean_squared_error 0.6693280212272604 root_mean_squared_error 0.6673330003329173 root_mean_squared_error 0.6592925501373929 root_relative_squared_error 1.353669303457428 root_relative_squared_error 1.3512233591645069 root_relative_squared_error 1.3512233591645069 root_relative_squared_error 1.3512233591645069 root_relative_squared_error 1.3432514703621314 root_relative_squared_error 1.33924773129139 root_relative_squared_error 1.3512233591645069 root_relative_squared_error 1.3438611602607389 root_relative_squared_error 1.3398556039284333 root_relative_squared_error 1.3237121759139239 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 44898.279454006115 usercpu_time_millis 44791.922208009055 usercpu_time_millis 45102.392574975966 usercpu_time_millis 46542.65705900616 usercpu_time_millis 45741.75737801124 usercpu_time_millis 45158.941384986974 usercpu_time_millis 44974.966121983016 usercpu_time_millis 44628.17698199069 usercpu_time_millis 44832.03928699368 usercpu_time_millis 44664.6206540172 usercpu_time_millis_testing 4415.923677006504 usercpu_time_millis_testing 4364.175705995876 usercpu_time_millis_testing 4561.7445899988525 usercpu_time_millis_testing 4397.159221000038 usercpu_time_millis_testing 4379.650397022488 usercpu_time_millis_testing 4351.348094001878 usercpu_time_millis_testing 4502.989998989506 usercpu_time_millis_testing 4410.431448981399 usercpu_time_millis_testing 4447.730090003461 usercpu_time_millis_testing 4331.63416699972 usercpu_time_millis_training 40482.35577699961 usercpu_time_millis_training 40427.74650201318 usercpu_time_millis_training 40540.64798497711 usercpu_time_millis_training 42145.49783800612 usercpu_time_millis_training 41362.106980988756 usercpu_time_millis_training 40807.593290985096 usercpu_time_millis_training 40471.97612299351 usercpu_time_millis_training 40217.74553300929 usercpu_time_millis_training 40384.309196990216 usercpu_time_millis_training 40332.98648701748 wall_clock_time_millis 46673.97904396057 wall_clock_time_millis 49722.67818450928 wall_clock_time_millis 49232.46645927429 wall_clock_time_millis 46595.25561332703 wall_clock_time_millis 48811.38610839844 wall_clock_time_millis 47731.688261032104 wall_clock_time_millis 47842.748403549194 wall_clock_time_millis 48028.07569503784 wall_clock_time_millis 48121.471881866455 wall_clock_time_millis 46376.14154815674 wall_clock_time_millis_testing 4513.036727905273 wall_clock_time_millis_testing 4766.861438751221 wall_clock_time_millis_testing 4658.331632614136 wall_clock_time_millis_testing 4397.622108459473 wall_clock_time_millis_testing 4476.0119915008545 wall_clock_time_millis_testing 4937.9167556762695 wall_clock_time_millis_testing 4995.481491088867 wall_clock_time_millis_testing 4734.992980957031 wall_clock_time_millis_testing 5160.165786743164 wall_clock_time_millis_testing 4332.139253616333 wall_clock_time_millis_training 42160.9423160553 wall_clock_time_millis_training 44955.81674575806 wall_clock_time_millis_training 44574.134826660156 wall_clock_time_millis_training 42197.633504867554 wall_clock_time_millis_training 44335.37411689758 wall_clock_time_millis_training 42793.771505355835 wall_clock_time_millis_training 42847.26691246033 wall_clock_time_millis_training 43293.08271408081 wall_clock_time_millis_training 42961.30609512329 wall_clock_time_millis_training 42044.002294540405