Fig. 2

A The accuracy of classifying unseen blood-meal sources in field mosquitoes significantly increased from 76 to 90% when using a training set of up to 100 field mosquitoes for transfer learning. The mean accuracy is depicted by the solid line, while the shaded ribbon represents the standard deviation of the mean across 10 models. B A confusion matrix from the transfer learning model for classifying human and bovine blood meals in field mosquitoes from the balanced set of test samples. C A confusion matrix from the transfer learning model’s classification prediction of the imbalanced set of test samples of wild mosquitoes blood-fed on human and bovine