Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension

Figure 3 Predictive performance of five machine learning models. A: Receiver operating characteristic (ROC) curves in the training cohort; B: ROC curves in the validation cohort; C: Decision curve analysis in the training cohort; D: Decision curve analysis in the validation cohort. TPR: True positive rate; FPR: False positive rate; XGBoost: Extreme gradient boosting; SVM: Support vector machine; AUC: Area under the receiver operating characteristic curve; KNN: K-nearest neighbor.