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Fig. 6 | Malaria Journal

Fig. 6

From: Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis

Fig. 6

Normalized confusion matrix for the trained model (training set = 1332 spectra; test set = 444 spectra; total spectra = 1776). 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 class

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