A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy

Table 4 Summary of machine learning classification results

Classification task	Using the test set			Using the training dataset			Error analysis indication
Classification task	Best test accuracy (%)	Best feature	Best algorithm	No. of samples	Training accuracy (%)	Validation accuracy (%)	Error analysis indication
Genus	94.2	Spectrogram	DNN	2016	100	95	Slight overfitting: more training samples
Sex Aedes	99.4	Spectrogram	LR	1008	99.5	99.5	No overfitting
		MFCC	LR, GB
Sex Culex	100	PSD	SVM	1170	100	100	No error
		Spectrogram	LR, SVM, DNN
		MFCC	All algorithms

ISSN: 1756-3305