Fig. 3From: Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathyAUC of ROC curve by ML models in the validation cohort. AUC, area under the curve; ROC, receiver operate characteristics; ML, machine learning; NNET, artificial neural network; NB, naïve bayes; LR, logistic regression; GBM, gradient boosting machine; Ada, adapting boosting; RF, random forest; BT, bagged trees; XGB, eXtreme Gradient BoostingBack to article page