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

Figure 6.

Bar chart titled “Training cohort” comparing the performance of seven models: Bayes, DT, LR, MLP, RF, SVM, and XGBoost. Metrics shown include accuracy (blue), precision (orange), recall (gray), and f1-score (yellow). Values range from approximately 0.74 to 0.84, with DT and RF generally performing highest across most metrics.

Comparison of the performance of the seven models in the training cohort. Bayes, Bayesian Network; DT, Decision tree; LR, Logistic regression model; MLP, Multilayer perceptron; RF, Random Forest model; SVM, Support vector machine; XGBoost, eXtreme Gradient Boosting.