10330586 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) 8186165 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 37.46598863333101 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.45316381066393663 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.006595466389973624 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 62110 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 21582871 description https://api.openml.org/data/download/21582871/description.xml -1 21582872 predictions https://api.openml.org/data/download/21582872/predictions.arff area_under_roc_curve 0.6888453941698177 [0.688845,0.688845] average_cost 0 f_measure 0.6921377360721287 [0.607586,0.763512] kappa 0.3884991167723423 kb_relative_information_score 0.4036327669874263 mean_absolute_error 0.2951213009864036 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7214112689331766 [0.776268,0.675104] predictive_accuracy 0.7048786990135963 prior_entropy 0.9948419333531207 recall 0.7048786990135963 [0.499126,0.878564] relative_absolute_error 0.5944862042779749 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5432506796925372 root_relative_squared_error 1.0904022028507945 total_cost 0 area_under_roc_curve 0.7251481988144096 [0.725148,0.725148] area_under_roc_curve 0.6864045136899989 [0.686405,0.686405] area_under_roc_curve 0.6577786688051324 [0.657779,0.657779] area_under_roc_curve 0.7174934127620576 [0.717493,0.717493] area_under_roc_curve 0.7092164050864934 [0.709216,0.709216] area_under_roc_curve 0.6680748081108947 [0.668075,0.668075] area_under_roc_curve 0.6913306220643831 [0.691331,0.691331] area_under_roc_curve 0.6790505675954591 [0.679051,0.679051] area_under_roc_curve 0.6863175094599243 [0.686318,0.686318] area_under_roc_curve 0.6672686618507052 [0.667269,0.667269] 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 0.730327486160208 [0.662069,0.787879] f_measure 0.6897156177156177 [0.608392,0.758621] f_measure 0.6587937243425598 [0.561151,0.741525] f_measure 0.7222548400186206 [0.65529,0.778993] f_measure 0.7137164164224042 [0.643836,0.772926] f_measure 0.6691410750321042 [0.572464,0.751055] f_measure 0.6945648713453826 [0.612676,0.763948] f_measure 0.6806456808538593 [0.579926,0.765073] f_measure 0.6896090245075217 [0.599278,0.765328] f_measure 0.6696173179233168 [0.572464,0.751055] kappa 0.4616643291257598 kappa 0.382661610371285 kappa 0.3250818753134865 kappa 0.4450630759988865 kappa 0.4283201407211962 kappa 0.3466127222255035 kappa 0.393132466309657 kappa 0.37090811918229194 kappa 0.3844549931236413 kappa 0.3453173546382601 kb_relative_information_score 0.47327587839617535 kb_relative_information_score 0.39660508400091793 kb_relative_information_score 0.3427305379295731 kb_relative_information_score 0.4558670846793981 kb_relative_information_score 0.43970472085799434 kb_relative_information_score 0.3642803563581111 kb_relative_information_score 0.40737999321518714 kb_relative_information_score 0.39081880283289905 kb_relative_information_score 0.4016007709243518 kb_relative_information_score 0.36386388260426694 mean_absolute_error 0.26063829787234044 mean_absolute_error 0.2986666666666667 mean_absolute_error 0.3253333333333333 mean_absolute_error 0.2693333333333333 mean_absolute_error 0.2773333333333333 mean_absolute_error 0.31466666666666665 mean_absolute_error 0.29333333333333333 mean_absolute_error 0.30133333333333334 mean_absolute_error 0.296 mean_absolute_error 0.31466666666666665 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 0.7548914365266397 [0.813559,0.705426] precision 0.7150721247563353 [0.763158,0.67433] precision 0.6896779593649902 [0.735849,0.650558] precision 0.7432604064987745 [0.793388,0.700787] precision 0.735037908496732 [0.783333,0.694118] precision 0.7039723720314126 [0.759615,0.656827] precision 0.7226634075683506 [0.776786,0.676806] precision 0.7242961762322256 [0.795918,0.66426] precision 0.7230937784947746 [0.783019,0.672862] precision 0.7017227513227513 [0.752381,0.659259] predictive_accuracy 0.7393617021276596 predictive_accuracy 0.7013333333333334 predictive_accuracy 0.6746666666666666 predictive_accuracy 0.7306666666666666 predictive_accuracy 0.7226666666666667 predictive_accuracy 0.6853333333333333 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.6986666666666665 predictive_accuracy 0.7040000000000001 predictive_accuracy 0.6853333333333333 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 0.7393617021276596 [0.55814,0.892157] recall 0.7013333333333334 [0.505814,0.866995] recall 0.6746666666666666 [0.453488,0.862069] recall 0.7306666666666667 [0.55814,0.876847] recall 0.7226666666666667 [0.546512,0.871921] recall 0.6853333333333333 [0.459302,0.876847] recall 0.7066666666666667 [0.505814,0.876847] recall 0.6986666666666667 [0.45614,0.901961] recall 0.704 [0.48538,0.887255] recall 0.6853333333333333 [0.461988,0.872549] relative_absolute_error 0.5250509641794625 relative_absolute_error 0.6015335430339424 relative_absolute_error 0.6552418950905442 relative_absolute_error 0.54245435577168 relative_absolute_error 0.5585668613886606 relative_absolute_error 0.6337585542679034 relative_absolute_error 0.5907918726226219 relative_absolute_error 0.6071798263887398 relative_absolute_error 0.596433280788939 relative_absolute_error 0.6340461903882415 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 0.510527470242631 root_mean_squared_error 0.5465040408511787 root_mean_squared_error 0.570379990298865 root_mean_squared_error 0.518973345494095 root_mean_squared_error 0.5266244708835066 root_mean_squared_error 0.5609515724790034 root_mean_squared_error 0.5416025603090641 root_mean_squared_error 0.5489383693397041 root_mean_squared_error 0.5440588203494178 root_mean_squared_error 0.5609515724790034 root_relative_squared_error 1.0247727380237828 root_relative_squared_error 1.096760232876821 root_relative_squared_error 1.1446760576813637 root_relative_squared_error 1.0415098237415694 root_relative_squared_error 1.0568646051093178 root_relative_squared_error 1.1257544890362978 root_relative_squared_error 1.0869236195327767 root_relative_squared_error 1.1021456304486894 root_relative_squared_error 1.0923485860105802 root_relative_squared_error 1.1262654589889998 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 44946.141879976494 usercpu_time_millis 48120.85865001427 usercpu_time_millis 44335.30832899851 usercpu_time_millis 44877.27031001123 usercpu_time_millis 47926.70542001724 usercpu_time_millis 44507.03684100881 usercpu_time_millis 45764.42755799508 usercpu_time_millis 44457.367405993864 usercpu_time_millis 44743.71263300418 usercpu_time_millis 44404.13051802898 usercpu_time_millis_testing 4072.83897898742 usercpu_time_millis_testing 4017.7815920033026 usercpu_time_millis_testing 4063.452202011831 usercpu_time_millis_testing 4054.833842004882 usercpu_time_millis_testing 4014.33617901057 usercpu_time_millis_testing 4017.695732007269 usercpu_time_millis_testing 4015.220037981635 usercpu_time_millis_testing 3966.1053589952644 usercpu_time_millis_testing 3987.2769009962212 usercpu_time_millis_testing 3998.2131240249146 usercpu_time_millis_training 40873.302900989074 usercpu_time_millis_training 44103.07705801097 usercpu_time_millis_training 40271.85612698668 usercpu_time_millis_training 40822.436468006345 usercpu_time_millis_training 43912.36924100667 usercpu_time_millis_training 40489.34110900154 usercpu_time_millis_training 41749.20752001344 usercpu_time_millis_training 40491.2620469986 usercpu_time_millis_training 40756.43573200796 usercpu_time_millis_training 40405.917394004064 wall_clock_time_millis 50771.15726470947 wall_clock_time_millis 51613.90280723572 wall_clock_time_millis 48297.905683517456 wall_clock_time_millis 46639.18590545654 wall_clock_time_millis 48250.65875053406 wall_clock_time_millis 46258.84962081909 wall_clock_time_millis 48699.04112815857 wall_clock_time_millis 46168.70594024658 wall_clock_time_millis 50020.93720436096 wall_clock_time_millis 51816.3743019104 wall_clock_time_millis_testing 4990.835666656494 wall_clock_time_millis_testing 4506.204605102539 wall_clock_time_millis_testing 4371.939897537231 wall_clock_time_millis_testing 4119.347095489502 wall_clock_time_millis_testing 4046.668291091919 wall_clock_time_millis_testing 4600.369215011597 wall_clock_time_millis_testing 4191.580057144165 wall_clock_time_millis_testing 4178.703546524048 wall_clock_time_millis_testing 4403.858184814453 wall_clock_time_millis_testing 4442.884683609009 wall_clock_time_millis_training 45780.32159805298 wall_clock_time_millis_training 47107.69820213318 wall_clock_time_millis_training 43925.965785980225 wall_clock_time_millis_training 42519.83880996704 wall_clock_time_millis_training 44203.99045944214 wall_clock_time_millis_training 41658.480405807495 wall_clock_time_millis_training 44507.461071014404 wall_clock_time_millis_training 41990.002393722534 wall_clock_time_millis_training 45617.07901954651 wall_clock_time_millis_training 47373.48961830139