10330517 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) 8186106 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 4.983344593111613 13389 cache_size 200 13389 class_weight null 13389 coef0 0.2508604778138088 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.003475742080788654 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 9255 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 21582733 description https://api.openml.org/data/download/21582733/description.xml -1 21582734 predictions https://api.openml.org/data/download/21582734/predictions.arff area_under_roc_curve 0.7668547047312748 [0.766855,0.766855] average_cost 0 f_measure 0.7700568712211509 [0.742206,0.793567] kappa 0.5360937861768355 kb_relative_information_score 0.5366975425557374 mean_absolute_error 0.22927219408157826 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7704493306990148 [0.76467,0.775328] predictive_accuracy 0.7707278059184217 prior_entropy 0.9948419333531207 recall 0.7707278059184217 [0.721025,0.812684] relative_absolute_error 0.46184113430809254 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.47882376098265866 root_relative_squared_error 0.9610857441509165 total_cost 0 area_under_roc_curve 0.7717738258093936 [0.771774,0.771774] area_under_roc_curve 0.7921440027494557 [0.792144,0.792144] area_under_roc_curve 0.7547972276320313 [0.754797,0.754797] area_under_roc_curve 0.794163134379654 [0.794163,0.794163] area_under_roc_curve 0.7639620804215832 [0.763962,0.763962] area_under_roc_curve 0.759479894604193 [0.75948,0.75948] area_under_roc_curve 0.7308540497193263 [0.730854,0.730854] area_under_roc_curve 0.7684898520811834 [0.76849,0.76849] area_under_roc_curve 0.7742518059855521 [0.774252,0.774252] area_under_roc_curve 0.758685930512556 [0.758686,0.758686] 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 0.7755626243273718 [0.745455,0.800948] f_measure 0.7944013952587041 [0.772861,0.812652] f_measure 0.75869610449659 [0.72561,0.78673] f_measure 0.7968787669657236 [0.77381,0.816425] f_measure 0.7672281202065374 [0.738739,0.791367] f_measure 0.7622130798504585 [0.735905,0.784504] f_measure 0.734684850803919 [0.699088,0.764846] f_measure 0.7723547206318723 [0.741641,0.7981] f_measure 0.776 [0.754386,0.794118] f_measure 0.7620206105385962 [0.732733,0.786571] kappa 0.5470399265718219 kappa 0.5855877836301792 kappa 0.5132398753894082 kappa 0.590423085766843 kappa 0.5305147429163489 kappa 0.5205774617539325 kappa 0.464803148471175 kappa 0.5403019945485225 kappa 0.5485036119711043 kappa 0.5195837111888415 kb_relative_information_score 0.5485221814824337 kb_relative_information_score 0.5851659952506263 kb_relative_information_score 0.5151290853578775 kb_relative_information_score 0.5905534498577609 kb_relative_information_score 0.5312914491792813 kb_relative_information_score 0.5205165399650116 kb_relative_information_score 0.46664199389366656 kb_relative_information_score 0.5417663561132389 kb_relative_information_score 0.5471573401589647 kb_relative_information_score 0.5202024199303326 mean_absolute_error 0.22340425531914893 mean_absolute_error 0.20533333333333334 mean_absolute_error 0.24 mean_absolute_error 0.20266666666666666 mean_absolute_error 0.232 mean_absolute_error 0.23733333333333334 mean_absolute_error 0.264 mean_absolute_error 0.22666666666666666 mean_absolute_error 0.224 mean_absolute_error 0.23733333333333334 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 0.7767168169362789 [0.778481,0.775229] precision 0.7944206202978658 [0.784431,0.802885] precision 0.7602060648635991 [0.762821,0.757991] precision 0.7971570146033213 [0.792683,0.800948] precision 0.7677931154582923 [0.763975,0.771028] precision 0.7622949494949496 [0.751515,0.771429] precision 0.7357580786536551 [0.732484,0.738532] precision 0.7732625561453654 [0.772152,0.774194] precision 0.776 [0.754386,0.794118] precision 0.7622618675013041 [0.753086,0.769953] predictive_accuracy 0.7765957446808511 predictive_accuracy 0.7946666666666666 predictive_accuracy 0.76 predictive_accuracy 0.7973333333333333 predictive_accuracy 0.768 predictive_accuracy 0.7626666666666666 predictive_accuracy 0.736 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7759999999999999 predictive_accuracy 0.7626666666666666 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 0.776595744680851 [0.715116,0.828431] recall 0.7946666666666666 [0.761628,0.82266] recall 0.76 [0.69186,0.817734] recall 0.7973333333333333 [0.755814,0.832512] recall 0.768 [0.715116,0.812808] recall 0.7626666666666667 [0.72093,0.79803] recall 0.736 [0.668605,0.793103] recall 0.7733333333333333 [0.71345,0.823529] recall 0.776 [0.754386,0.794118] recall 0.7626666666666667 [0.71345,0.803922] relative_absolute_error 0.4500436835823964 relative_absolute_error 0.4135543108358354 relative_absolute_error 0.483375168509418 relative_absolute_error 0.4081834756301751 relative_absolute_error 0.4672626628924374 relative_absolute_error 0.47800433330375774 relative_absolute_error 0.5317126853603598 relative_absolute_error 0.45672818799152987 relative_absolute_error 0.4513549151916296 relative_absolute_error 0.47822127919113133 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 0.4726565934366609 root_mean_squared_error 0.45313721247910477 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4501851470969102 root_mean_squared_error 0.48166378315169184 root_mean_squared_error 0.48716869083853626 root_mean_squared_error 0.5138093031466052 root_mean_squared_error 0.4760952285695233 root_mean_squared_error 0.4732863826479693 root_mean_squared_error 0.48716869083853626 root_relative_squared_error 0.9487551985613691 root_relative_squared_error 0.9093855443588065 root_relative_squared_error 0.9831594059359713 root_relative_squared_error 0.9034611454998326 root_relative_squared_error 0.966634541539714 root_relative_squared_error 0.9776821521432612 root_relative_squared_error 1.0311462841073566 root_relative_squared_error 0.9558928745981855 root_relative_squared_error 0.9502533393935901 root_relative_squared_error 0.978125913378862 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 37877.26767400454 usercpu_time_millis 52043.11456500727 usercpu_time_millis 37652.48778500245 usercpu_time_millis 49494.577710996964 usercpu_time_millis 51993.946422007866 usercpu_time_millis 51536.78836900508 usercpu_time_millis 38034.5463190024 usercpu_time_millis 37712.294678000035 usercpu_time_millis 37884.32486799138 usercpu_time_millis 37985.50954401435 usercpu_time_millis_testing 2704.808016002062 usercpu_time_millis_testing 2798.9756090100855 usercpu_time_millis_testing 2726.115697994828 usercpu_time_millis_testing 2739.2193179985043 usercpu_time_millis_testing 2735.5336570035433 usercpu_time_millis_testing 2691.891021007905 usercpu_time_millis_testing 2780.1796889980324 usercpu_time_millis_testing 2716.4916790061397 usercpu_time_millis_testing 2822.5915639923187 usercpu_time_millis_testing 2819.742974010296 usercpu_time_millis_training 35172.45965800248 usercpu_time_millis_training 49244.13895599719 usercpu_time_millis_training 34926.37208700762 usercpu_time_millis_training 46755.35839299846 usercpu_time_millis_training 49258.41276500432 usercpu_time_millis_training 48844.897347997176 usercpu_time_millis_training 35254.36663000437 usercpu_time_millis_training 34995.802998993895 usercpu_time_millis_training 35061.73330399906 usercpu_time_millis_training 35165.76657000405 wall_clock_time_millis 41006.845235824585 wall_clock_time_millis 57283.93220901489 wall_clock_time_millis 42779.948234558105 wall_clock_time_millis 54843.00351142883 wall_clock_time_millis 58772.31740951538 wall_clock_time_millis 56660.02345085144 wall_clock_time_millis 40981.76169395447 wall_clock_time_millis 37721.198081970215 wall_clock_time_millis 37893.168926239014 wall_clock_time_millis 40807.96003341675 wall_clock_time_millis_testing 2818.7389373779297 wall_clock_time_millis_testing 3187.2897148132324 wall_clock_time_millis_testing 3206.418514251709 wall_clock_time_millis_testing 2935.4381561279297 wall_clock_time_millis_testing 3251.8043518066406 wall_clock_time_millis_testing 2788.235902786255 wall_clock_time_millis_testing 3196.565628051758 wall_clock_time_millis_testing 2717.2231674194336 wall_clock_time_millis_testing 2823.300361633301 wall_clock_time_millis_testing 3012.1521949768066 wall_clock_time_millis_training 38188.106298446655 wall_clock_time_millis_training 54096.64249420166 wall_clock_time_millis_training 39573.5297203064 wall_clock_time_millis_training 51907.5653553009 wall_clock_time_millis_training 55520.51305770874 wall_clock_time_millis_training 53871.787548065186 wall_clock_time_millis_training 37785.19606590271 wall_clock_time_millis_training 35003.97491455078 wall_clock_time_millis_training 35069.86856460571 wall_clock_time_millis_training 37795.80783843994