Fig. 5 | Scientific Reports

Fig. 5

From: Explainable machine learning identifies immune-inflammatory biomarkers and therapeutic candidates in drug-resistant epilepsy

Fig. 5The alternative text for this image may have been generated using AI.

External validation of Random Forest classifiers on GSE186334. (A) Fold-specific accuracy, recall, precision, F1, and ROC-AUC values are summarized as boxplots. (B) Precision–recall curves for external validation folds and ensemble model. (C) ROC curves showing fold-specific AUCs (0.89–0.94) and ensemble AUC (0.93). (D) Comparison of internal versus external validation metrics, highlighting modest performance reductions in external testing.

Back to article page