Lactate metabolism-driven tumor heterogeneity and molecular signatures in intrahepatic cholangiocarcinoma

Figure 7 Benchmarking and interpretation of the optimal lactate metabolism-prediction model. A: Benchmark analysis for model comparison; B: Receiver operating characteristic (ROC) and precision-recall (PR) curves examined the accuracy of different classifiers; C: ROC and PR curves confirming random forest model accuracy [area under the curve (AUC) = 0.97, PRAUC = 0.97]; D: Decision curve analysis for clinical applicability assessment; E: SHapley Additive exPlanation (SHAP) feature importance analysis of 12 lactate metabolism-related genes; F: Correlation between SHAP values and the expression of feature genes. AUC: Area under the curve; PR: Precision-recall; TPR: True positive rate; FPR: False positive rate; SHAP: SHapley Additive exPlanation.