Table 1.
The major parameters of PLS-DA and RF models of each class, based on the data fusion SNV-SD FT-MIR spectra datasets of P. yunnanensis samples.
| Preprocessing | Set | Classes a | PLS-DA | RF | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SENS | SPEC | ACC | MCC | SENS | SPEC | ACC | MCC | |||
| SNV-SD | Calibration set | 1 | 1 | 1 | 1 | 1 | 1 | 0.996 | 0.997 | 0.987 |
| 2 | 1 | 1 | 1 | 1 | 0.984 | 0.996 | 0.993 | 0.98 | ||
| 3 | 1 | 1 | 1 | 1 | 0.975 | 1 | 0.997 | 0.986 | ||
| 4 | 1 | 1 | 1 | 1 | 0.951 | 0.992 | 0.987 | 0.944 | ||
| 5 | 1 | 1 | 1 | 1 | 0.9831 | 1 | 0.997 | 0.989 | ||
| 6 | 1 | 1 | 1 | 1 | 1 | 0.996 | 0.997 | 0.99 | ||
| Validation set | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ||
| 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ||
| 4 | 1 | 1 | 1 | 1 | 0.95 | 1 | 0.994 | 0.971 | ||
| 5 | 1 | 1 | 1 | 1 | 1 | 0.992 | 0.994 | 0.979 | ||
| 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ||
a 1: Kunming, 2: Yuxi, 3: Chuxiong, 4: Dali, 5: Lijiang, 6: Honghe. Sensitivity (SENS), specificity (SPEC), accuracy (ACC) and the Matthews correlation coefficient (MCC).