Table 3.
Results of PLS-DA models using different selected wavelengths.
| Methods | Variables | Calibration | Prediction | |||
|---|---|---|---|---|---|---|
| Correct number | Identification accuracy/% | Correct number | Identification accuracy/% | E | ||
| Raw | 512 | 449 | 99.8 | 214 | 95.1 | |
| SPA | 5 | 417 | 92.7 | 210 | 93.3 | −1.78 |
| RC | 7 | 413 | 91.8 | 211 | 93.8 | −1.28 |
| LW | 8 | 402 | 89.3 | 199 | 88.4 | −6.60 |
| UVE | 291 | 449 | 99.8 | 219 | 97.3 | 0.95 |
| UVE-SPA | 12 | 449 | 99.8 | 216 | 96.0 | 0.88 |
| CARS | 105 | 449 | 99.8 | 221 | 98.2 | 2.46 |
| iPLS | 32 | 430 | 95.6 | 199 | 88.4 | −6.28 |
| BiPLS | 208 | 450 | 100 | 223 | 99.1 | 2.38 |
| FiPLS | 480 | 449 | 99.8 | 219 | 97.3 | 0.14 |
| GA-PLS | 85 | 446 | 99.1 | 217 | 96.4 | 1.08 |