Table 5 Performance of prediction models built with different VIs
VIs | Model | Training set | Test set | ||||
|---|---|---|---|---|---|---|---|
R2 | RMSE | RE/% | R2 | RMSE | RE/% | ||
MSAVI | DT | 0.8153 | 4.2358 | 9.3182 | 0.7916 | 4.7874 | 9.5617 |
PLSR | 0.8019 | 5.2545 | 10.2113 | 0.7711 | 5.3593 | 10.3156 | |
SVR | 0.8553 | 4.0548 | 8.3935 | 0.8355 | 4.5187 | 9.3219 | |
BPNN | 0.8437 | 3.2254 | 8.7417 | 0.8322 | 3.3290 | 10.8533 | |
MCARI | DT | 0.7215 | 8.3541 | 14.0523 | 0.7006 | 9.2147 | 15.3319 |
PLSR | 0.6853 | 7.4097 | 11.0561 | 0.6631 | 10.2416 | 12.1102 | |
SVR | 0.7783 | 6.8345 | 9.7764 | 0.7547 | 10.9724 | 9.1542 | |
BPNN | 0.7512 | 6.7714 | 10.2314 | 0.7431 | 9.2433 | 10.2011 | |
MTCI | DT | 0.5839 | 10.9318 | 20.2176 | 0.5581 | 18.5998 | 20.3154 |
PLSR | 0.6337 | 13.4315 | 17.7154 | 0.6255 | 14.3392 | 18.6833 | |
SVR | 0.6239 | 8.3549 | 13.1171 | 0.6213 | 10.4582 | 14.6914 | |
BPNN | 0.6617 | 7.9018 | 12.1272 | 0.6571 | 9.8851 | 13.2387 | |
RVI | DT | 0.5311 | 12.2155 | 19.2513 | 0.4924 | 13.5217 | 19.7315 |
PLSR | 0.5442 | 11.5125 | 18.2651 | 0.5351 | 12.3652 | 18.9113 | |
SVR | 0.5537 | 9.2254 | 13.7114 | 0.5463 | 10.3290 | 13.8151 | |
BPNN | 0.5329 | 8.7592 | 14.2615 | 0.5154 | 9.3651 | 14.3216 | |
VARIred | DT | 0.7419 | 9.8263 | 10.2344 | 0.7224 | 10.2355 | 12.9371 |
PLSR | 0.7133 | 12.3652 | 14.2615 | 0.7062 | 13.6239 | 16.3117 | |
SVR | 0.7939 | 11.9217 | 10.0200 | 0.7819 | 12.9759 | 13.8592 | |
BPNN | 0.7785 | 8.8251 | 9.3154 | 0.7435 | 10.9472 | 9.8138 | |
SFDI | DT | 0.8413 | 4.5163 | 10.5127 | 0.8387 | 4.7184 | 10.6479 |
PLSR | 0.8516 | 3.8715 | 9.8435 | 0.8479 | 4.5526 | 9.9316 | |
SVR | 0.8874 | 3.5124 | 7.7451 | 0.8752 | 3.7715 | 7.8614 | |
BPNN | 0.8759 | 3.3152 | 8.3218 | 0.8679 | 3.6780 | 8.6153 | |