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Table 1 Predictive power of models derived from different Ae. albopictus populations

From: Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions

Actual age (days)No. scannedStandard PLSResampling PLS
Age in daysClassed as old (%)Age in daysClassed as old (%)
Using laboratory-derived models to predict the age of laboratory-reared mosquitoes
 Number of components8 10 
 2413.58 (0.28)02.13 (0.22)4
 5427.62 (0.30)367.27 (0.23)9
 8428.35 (0.27)608.07 (0.21)57
 12428.47 (0.33)579.84 (0.22)58
 154414.0 (0.33)10014.7 (0.26)68
 Overall accuracyRMSD = 2.38RMSD = 2.89AUC = 0.88
Using field-derived models to predict the age of field-derived reared mosquitoes
 Number of components8 10 
 1504.58 (0.32)63.31 (0.28)0
 7507.71 (0.44)417.28 (0.36)0
 1410011.7 (0.34)9012.7 (0.26)100
 Overall accuracyRMSD = 3.41RMSD = 2.82AUC = 0.97
Using laboratory-derived models to predict the age of field-derived reared mosquitoes
 Number of components8 10 
 1506.50 (0.20)128.23 (0.18)36
 7506.92 (0.20)189.40 (0.27)74
 141007.00 (0.15)249.18 (0.22)75
 Overall accuracyRMSD = 5.84RMSD = 5.42AUC = 0.60
  1. Notes: The true age of mosquito groups is shown on the left while the mean predicted age (and variability, given as standard error of the mean, SEM) is shown on the right using standard Partial Least Squares (PLS) regression or a resampling PLS framework. Mosquitoes are classified as young (< 8 days) or old (≥ 8 days). First line of each section of the table shows the number of components used in the different models. Accuracy of age estimates is shown by the average difference between the true and predicted age measured in days (root-mean-square deviation, RMSD), with lowest values indicating a more accurate model. The ability to classifying mosquitoes as young or old is given by the area under the curve (AUC), with higher values indicating greater accuracy