8892496 710 William Raynaut 3808 Supervised Classification predictive_accuracy 8299 weka.kf.AdaBoostM1-HoeffdingTree(1) 6835583 mDataExp Modelage study_107 945 kidney https://www.openml.org/data/download/53479/kidney.arff -1 18700766 description https://api.openml.org/data/download/18700766/description928560267230348171.xml -1 18700767 predictions https://api.openml.org/data/download/18700767/predictions4897472163249486849.arff area_under_roc_curve 0.729861 [0.729861,0.729861] average_cost 0 f_measure 0.670768 [0.666667,0.675325] kappa 0.344828 kb_relative_information_score 23.491352 mean_absolute_error 0.350217 mean_prior_absolute_error 0.49865 number_of_instances 76 [40,36] precision 0.676325 [0.714286,0.634146] predictive_accuracy 0.671053 prior_entropy 0.998102 recall 0.671053 [0.625,0.722222] relative_absolute_error 0.702329 root_mean_prior_squared_error 0.499307 root_mean_squared_error 0.48027 root_relative_squared_error 0.961873 total_cost 0 area_under_roc_curve 0.71875 [0.71875,0.71875] area_under_roc_curve 0.84375 [0.84375,0.84375] area_under_roc_curve 0.78125 [0.78125,0.78125] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78125 [0.78125,0.78125] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.583333 [0.583333,0.583333] 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 0.619048 [0.571429,0.666667] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.75,0.75] f_measure 0.75 [0.75,0.75] f_measure 0.733333 [0.666667,0.8] f_measure 0.619048 [0.571429,0.666667] f_measure 0.571429 [0.571429,0.571429] f_measure 0.571429 [0.571429,0.571429] f_measure 0.671429 [0.8,0.5] f_measure 0.571429 [0.571429,0.571429] kappa 0.25 kappa 0.5 kappa 0.5 kappa 0.5 kappa 0.5 kappa 0.25 kappa 0.16 kappa 0.16 kappa 0.363636 kappa 0.16 kb_relative_information_score 1.812312 kb_relative_information_score 4.190334 kb_relative_information_score 3.026573 kb_relative_information_score 3.848049 kb_relative_information_score 3.208197 kb_relative_information_score 2.394444 kb_relative_information_score 1.47898 kb_relative_information_score 1.031945 kb_relative_information_score 2.326335 kb_relative_information_score 0.174181 mean_absolute_error 0.390082 mean_absolute_error 0.252485 mean_absolute_error 0.322104 mean_absolute_error 0.270958 mean_absolute_error 0.312845 mean_absolute_error 0.354671 mean_absolute_error 0.385933 mean_absolute_error 0.421553 mean_absolute_error 0.340958 mean_absolute_error 0.478889 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.496337 mean_prior_absolute_error 0.496337 mean_prior_absolute_error 0.496337 mean_prior_absolute_error 0.496337 number_of_instances 8 [4,4] number_of_instances 8 [4,4] number_of_instances 8 [4,4] number_of_instances 8 [4,4] number_of_instances 8 [4,4] number_of_instances 8 [4,4] number_of_instances 7 [4,3] number_of_instances 7 [4,3] number_of_instances 7 [4,3] number_of_instances 7 [4,3] precision 0.633333 [0.666667,0.6] precision 0.75 [0.75,0.75] precision 0.75 [0.75,0.75] precision 0.75 [0.75,0.75] precision 0.833333 [1,0.666667] precision 0.633333 [0.666667,0.6] precision 0.595238 [0.666667,0.5] precision 0.595238 [0.666667,0.5] precision 0.809524 [0.666667,1] precision 0.595238 [0.666667,0.5] predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.571429 predictive_accuracy 0.571429 predictive_accuracy 0.714286 predictive_accuracy 0.571429 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 prior_entropy 0.998102 recall 0.625 [0.5,0.75] recall 0.75 [0.75,0.75] recall 0.75 [0.75,0.75] recall 0.75 [0.75,0.75] recall 0.75 [0.5,1] recall 0.625 [0.5,0.75] recall 0.571429 [0.5,0.666667] recall 0.571429 [0.5,0.666667] recall 0.714286 [1,0.333333] recall 0.571429 [0.5,0.666667] relative_absolute_error 0.780165 relative_absolute_error 0.50497 relative_absolute_error 0.644208 relative_absolute_error 0.541915 relative_absolute_error 0.625689 relative_absolute_error 0.709341 relative_absolute_error 0.777563 relative_absolute_error 0.849328 relative_absolute_error 0.686948 relative_absolute_error 0.964846 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.500657 root_mean_prior_squared_error 0.496985 root_mean_prior_squared_error 0.496985 root_mean_prior_squared_error 0.496985 root_mean_prior_squared_error 0.496985 root_mean_squared_error 0.513118 root_mean_squared_error 0.404923 root_mean_squared_error 0.409269 root_mean_squared_error 0.382587 root_mean_squared_error 0.421275 root_mean_squared_error 0.463656 root_mean_squared_error 0.509556 root_mean_squared_error 0.549014 root_mean_squared_error 0.50111 root_mean_squared_error 0.629775 root_relative_squared_error 1.02489 root_relative_squared_error 0.808782 root_relative_squared_error 0.817463 root_relative_squared_error 0.76417 root_relative_squared_error 0.841444 root_relative_squared_error 0.926095 root_relative_squared_error 1.025293 root_relative_squared_error 1.104688 root_relative_squared_error 1.008298 root_relative_squared_error 1.267191 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