Skip to main content

Table 4 Summary of machine learning classification results

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

Classification task Using the test set Using the training dataset Error analysis indication
Best test accuracy (%) Best feature Best algorithm No. of samples Training accuracy (%) Validation accuracy (%)
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