10330446 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) 8186052 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 17.856116752313714 13389 cache_size 200 13389 class_weight null 13389 coef0 0.31058917166596345 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.010963668541073082 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 62197 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 21582589 description https://api.openml.org/data/download/21582589/description.xml -1 21582590 predictions https://api.openml.org/data/download/21582590/predictions.arff area_under_roc_curve 0.6560562745498912 [0.656056,0.656056] average_cost 0 f_measure 0.6524714474954032 [0.53194,0.754218] kappa 0.3246513136506999 kb_relative_information_score 0.34868294063937777 mean_absolute_error 0.32231404958677684 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7117898388333658 [0.793303,0.642981] predictive_accuracy 0.6776859504132231 prior_entropy 0.9948419333531207 recall 0.6776859504132231 [0.400116,0.911996] relative_absolute_error 0.6492627109052138 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5677270907634907 root_relative_squared_error 1.1395307793023775 total_cost 0 area_under_roc_curve 0.6876994984040128 [0.687699,0.687699] area_under_roc_curve 0.6654112727689312 [0.665411,0.665411] area_under_roc_curve 0.6367854278840646 [0.636785,0.636785] area_under_roc_curve 0.6893544506816359 [0.689354,0.689354] area_under_roc_curve 0.6649673502119372 [0.664967,0.664967] area_under_roc_curve 0.6484133348608088 [0.648413,0.648413] area_under_roc_curve 0.6475254897468209 [0.647525,0.647525] area_under_roc_curve 0.6254729962160303 [0.625473,0.625473] area_under_roc_curve 0.6639576883384932 [0.663958,0.663958] area_under_roc_curve 0.6307619539043688 [0.630762,0.630762] 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 0.6854733742463123 [0.572549,0.780684] f_measure 0.6635550567402418 [0.55303,0.757202] f_measure 0.6304021592442645 [0.5,0.740891] f_measure 0.6887453616591583 [0.585551,0.776181] f_measure 0.6625287615233805 [0.549618,0.758197] f_measure 0.6442608058608058 [0.523077,0.746939] f_measure 0.6419520917678813 [0.515625,0.748988] f_measure 0.6164759137482796 [0.469636,0.739563] f_measure 0.663084970591916 [0.549618,0.758197] f_measure 0.6264927207411609 [0.496124,0.735772] kappa 0.3912785171102662 kappa 0.34300391970542826 kappa 0.284692417739628 kappa 0.39283433104083426 kappa 0.34239857333927776 kappa 0.30832391265544123 kappa 0.30704577968526475 kappa 0.2627526901085046 kappa 0.34081158383982846 kappa 0.2723446175891097 kb_relative_information_score 0.4141537831141153 kb_relative_information_score 0.3642803563581111 kb_relative_information_score 0.3104058102867658 kb_relative_information_score 0.41276744782232205 kb_relative_information_score 0.3642803563581113 kb_relative_information_score 0.33195562871530376 kb_relative_information_score 0.3319556287153038 kb_relative_information_score 0.2937810900098233 kb_relative_information_score 0.363863882604267 kb_relative_information_score 0.29917207405554946 mean_absolute_error 0.2898936170212766 mean_absolute_error 0.31466666666666665 mean_absolute_error 0.3413333333333333 mean_absolute_error 0.2906666666666667 mean_absolute_error 0.31466666666666665 mean_absolute_error 0.33066666666666666 mean_absolute_error 0.33066666666666666 mean_absolute_error 0.34933333333333333 mean_absolute_error 0.31466666666666665 mean_absolute_error 0.3466666666666667 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 0.7615659063528822 [0.879518,0.662116] precision 0.7159043375838583 [0.793478,0.650177] precision 0.6898864342988054 [0.761905,0.628866] precision 0.7483560852293246 [0.846154,0.665493] precision 0.7183251461988304 [0.8,0.649123] precision 0.6995949741315596 [0.772727,0.637631] precision 0.7045275732286043 [0.785714,0.635739] precision 0.6864080267558529 [0.763158,0.622074] precision 0.7151574059743073 [0.791209,0.651408] precision 0.6773371647509578 [0.735632,0.628472] predictive_accuracy 0.7101063829787235 predictive_accuracy 0.6853333333333333 predictive_accuracy 0.6586666666666666 predictive_accuracy 0.7093333333333334 predictive_accuracy 0.6853333333333333 predictive_accuracy 0.6693333333333333 predictive_accuracy 0.6693333333333333 predictive_accuracy 0.6506666666666666 predictive_accuracy 0.6853333333333333 predictive_accuracy 0.6533333333333333 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 0.7101063829787234 [0.424419,0.95098] recall 0.6853333333333333 [0.424419,0.906404] recall 0.6586666666666666 [0.372093,0.901478] recall 0.7093333333333334 [0.447674,0.931034] recall 0.6853333333333333 [0.418605,0.91133] recall 0.6693333333333333 [0.395349,0.901478] recall 0.6693333333333333 [0.383721,0.91133] recall 0.6506666666666666 [0.339181,0.911765] recall 0.6853333333333333 [0.421053,0.906863] recall 0.6533333333333333 [0.374269,0.887255] relative_absolute_error 0.5839852560771572 relative_absolute_error 0.6337585542679034 relative_absolute_error 0.6874669063245055 relative_absolute_error 0.5854210374169618 relative_absolute_error 0.6337585542679034 relative_absolute_error 0.6659835655018647 relative_absolute_error 0.6659835655018647 relative_absolute_error 0.703898736786946 relative_absolute_error 0.6340461903882415 relative_absolute_error 0.6985254639870458 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 0.5384176975372156 root_mean_squared_error 0.5609515724790034 root_mean_squared_error 0.5842373946721772 root_mean_squared_error 0.5391351098441528 root_mean_squared_error 0.5609515724790034 root_mean_squared_error 0.5750362307426087 root_mean_squared_error 0.5750362307426087 root_mean_squared_error 0.5910442735813733 root_mean_squared_error 0.5609515724790034 root_mean_squared_error 0.5887840577551898 root_relative_squared_error 1.0807562967051476 root_relative_squared_error 1.1257544890362978 root_relative_squared_error 1.1724860076752757 root_relative_squared_error 1.0819717777453068 root_relative_squared_error 1.1257544890362978 root_relative_squared_error 1.1540205070754743 root_relative_squared_error 1.1540205070754743 root_relative_squared_error 1.186684881060498 root_relative_squared_error 1.1262654589889998 root_relative_squared_error 1.1821468725410798 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 44600.01027400722 usercpu_time_millis 44144.313086988404 usercpu_time_millis 44503.258049007854 usercpu_time_millis 45155.33347899327 usercpu_time_millis 45333.987941019586 usercpu_time_millis 44171.2661460042 usercpu_time_millis 44520.858653995674 usercpu_time_millis 44881.68858800782 usercpu_time_millis 44584.60666600149 usercpu_time_millis 43703.6348519905 usercpu_time_millis_testing 4200.622688003932 usercpu_time_millis_testing 4131.60994098871 usercpu_time_millis_testing 4255.378928995924 usercpu_time_millis_testing 4169.8243860009825 usercpu_time_millis_testing 4194.164377011475 usercpu_time_millis_testing 4137.719686012133 usercpu_time_millis_testing 4230.930434001493 usercpu_time_millis_testing 4163.569976008148 usercpu_time_millis_testing 4187.72887000523 usercpu_time_millis_testing 4070.9560359973693 usercpu_time_millis_training 40399.387586003286 usercpu_time_millis_training 40012.703145999694 usercpu_time_millis_training 40247.87912001193 usercpu_time_millis_training 40985.50909299229 usercpu_time_millis_training 41139.82356400811 usercpu_time_millis_training 40033.54645999207 usercpu_time_millis_training 40289.92821999418 usercpu_time_millis_training 40718.11861199967 usercpu_time_millis_training 40396.87779599626 usercpu_time_millis_training 39632.67881599313 wall_clock_time_millis 45155.956506729126 wall_clock_time_millis 48490.91958999634 wall_clock_time_millis 50145.334243774414 wall_clock_time_millis 50134.00959968567 wall_clock_time_millis 48873.509883880615 wall_clock_time_millis 45740.564823150635 wall_clock_time_millis 48767.01998710632 wall_clock_time_millis 51995.221853256226 wall_clock_time_millis 50289.64066505432 wall_clock_time_millis 47036.72003746033 wall_clock_time_millis_testing 4393.251419067383 wall_clock_time_millis_testing 5216.054439544678 wall_clock_time_millis_testing 4691.874980926514 wall_clock_time_millis_testing 4478.174924850464 wall_clock_time_millis_testing 4235.212802886963 wall_clock_time_millis_testing 4168.73025894165 wall_clock_time_millis_testing 4651.573657989502 wall_clock_time_millis_testing 4771.996021270752 wall_clock_time_millis_testing 4936.002731323242 wall_clock_time_millis_testing 4217.451095581055 wall_clock_time_millis_training 40762.70508766174 wall_clock_time_millis_training 43274.86515045166 wall_clock_time_millis_training 45453.4592628479 wall_clock_time_millis_training 45655.834674835205 wall_clock_time_millis_training 44638.29708099365 wall_clock_time_millis_training 41571.834564208984 wall_clock_time_millis_training 44115.44632911682 wall_clock_time_millis_training 47223.22583198547 wall_clock_time_millis_training 45353.63793373108 wall_clock_time_millis_training 42819.26894187927