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. 2025 Aug 8;15:1623109. doi: 10.3389/fcimb.2025.1623109

Figure 5.

ROC curve comparing seven models: Bayes, DT, LR, MLP, RF, SVM, and XGBoost. The x-axis is specificity and y-axis is sensitivity. The AUCs are Bayes 0.817, DT 0.779, LR 0.856, MLP 0.781, RF 0.835, SVM 0.847, XGBoost 0.869. XGBoost shows the highest AUC.

Comparison of ROC curves of seven models in the internal validation cohort. Red line = Bayes model, orange line = DT model, green line =LR model, blue line =MLP model, dark purple line =RF model, bright purple line = SVM model, yellow line = XGBoost model.