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Fig. 1 | Malaria Journal

Fig. 1

From: Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning

Fig. 1

A Comparison of machine learning algorithms; KNN K-nearest neighbours, LR Logistic regression, SVM Support vector machine, XGB Extreme Gradient boosting, RF Random forest. B A confusion matrix from the LR classifier’s predictions on the balanced set of test samples of wild An. funestus blood-fed on human and bovine. C A confusion matrix from the LR classifier’s predictions of the imbalanced set of test samples of wild mosquitoes blood-fed on human and bovine

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