Fig. 5

Diagnostic performance of ML-selected lipid features. Illustration of average accuracies of SVM models for classifying HCC from CHB (A) or classifying HCC from LC (B) using 1–50 top-weighted features in 100 fourfold cross validations. Labeled coordinate indicates the optimal feature number achieving the highest accuracy. Illustration of ROC curves to classify CHB vs. HCC using 11 selected features (C) or AFP concentrations (E). Illustration of ROC curves to classify LC vs. HCC using 31 selected features (D) or AFP concentrations (F)