Fig. 15
From: Trustworthy deep learning for malaria diagnosis using explainable artificial intelligence
Confusion matrices for the Harvard Dataverse dataset: (a) validation set (331 images) and (b) test set (332 images). The matrices demonstrate high classification performance, with only a small number of misclassifications in both sets, confirming the model’s strong discriminative ability across diverse imaging conditions.
