Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus

Parasites & Vectors

Table 1 Precision, recall and F1 score of XGBoost and multi-layer perceptron (MLP) models for predicting age categories of An. funestus

Model	Age classes (days)	Precision	Recall	F1-score	No. of test samples
XGBoost 1	1–9	0.87	0.89	0.88	113
XGBoost 1	10–16	0.87	0.84	0.86	96
XGBoost 2	1–9	0.88	0.92	0.90	113
XGBoost 2	10–16	0.90	0.85	0.88	96
MLP 1	1–9	0.95	0.95	0.95	113
MLP 1	10–16	0.94	0.94	0.94	96
MLP 2	1–9	0.94	0.93	0.93	113
MLP 2	10–16	0.92	0.93	0.92	96

XGBoost 1: Trained with all MIRS wavenumbers (n = 1665), XGBoost 2: Trained with spectral features extracted based on feature importance summaries (n = 100), MLP 1: Trained with spectral features extracted based on feature importance summaries (n = 100), MLP 2: Trained with principal component analysis (PCA) as a dimensionality reduction technique

ISSN: 1756-3305