Table 1.
Models | Sample set 1 | Sample set 2 | ||||
---|---|---|---|---|---|---|
Para | Calb (%) | Prec (%) | Par | Cal (%) | Pre (%) | |
PLS-DA | 4 | 100 | 85 | 10 | 100 | 100 |
SVM | (1.7411, 0.0118) | 100 | 80 | (84.4485, 0.0039) | 100 | 92.5 |
ELM | 22 | 100 | 92.5 | 60 | 92.5 | 90 |
aPar means the parameters of the models, the number of LVs for PLS-DA, (C, g) for SVM and number of neurons for ELM
bCal means the calibration set
cPre means the prediction set