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. 2026 Jul 13;13:1842975. doi: 10.3389/fnut.2026.1842975

FIGURE 3.

Side-by-side line charts compare receiver operating characteristic (ROC) curves and area under the curve (AUC) values for six machine learning models on training and validation datasets. Models include LR, RF, NB, PLS, EGB, and SVM, with RF showing the highest AUC in training and NB in validation. Each curve is color-coded and accompanied by a legend displaying corresponding AUC values.

ROC curves comparing the discriminative performance of six machine learning models. LR, Logistic Regression. RF, Random Forest. NB, Naïve Bayes. PLS, Partial Least Squares Discriminant Analysis. EGB, Extreme Gradient Boosting. SVM, Support Vector Machine.