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Fig. 3 | European Journal of Medical Research

Fig. 3

From: Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

Fig. 3

The DCA curve comparison of six models and Sofa score in training cohort and validation cohort. DCA: Decision curve analysis; 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 DCA curve of XGBoost and Sofa score in validation Cohort. B DCA curve of other six models in validation Cohort. C DCA curve of XGBoost and Sofa score in Validation Cohort. D DCA curve of other six models in test Cohort

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