Fig. 2From: Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkersThe ROC curve comparison of six models and Sofa score in training cohort and validation cohort. DT: Decision Tree; XGBoost: eXtreme Gradient Boosting; KNN: k-Nearest Neighbors; RF: Random Forest; NB: Naive Bayes; LR: Logistic Regression; SVM: Support Vector Machine. A The ROC curve of validation Cohort, B The ROC curve of test CohortBack to article page