Fig. 7From: Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensisNormalized confusion matrix for final model evaluation (training data = 1776 spectra; validation data = 198 spectra; total spectra = 1974). Each row represents instances in actual class (true label), while each column represents instances in predicted class (predicted label). From the top left to bottom right, the blue line highlights final prediction accuracies in each classBack to article page