Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study

Figure 3 The receiver operating characteristic of 5 machine learning models to diagnose advanced liver fibrosis. A: Training cohort; B: Validation cohort. The receiver operating characteristic of the Extreme Gradient Boosting model was much better than the other machine learning models. LR: Logistic regression; RF: Random forest; SVM: Support Vector Machine; XGBoost: Extreme Gradient Boosting; NB: Naive Bayes; AUC: Area under the curve.