Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B

Figure 4 Receiver operating characteristic curves comparing machine learning/deep learning models trained on 26 baseline features and 26 baseline features plus liver stiffness-platelet ratio index on the imbalanced dataset. A: 26 baseline features; B: 26 baseline features plus liver stiffness-platelet ratio index on the imbalanced dataset. AUC: Area under the curve; KAN: Kolmogorov-Arnold Network; NuSVC: Nu-support vector classification; SVM: Support vector machine.