Table 2 Prediction results of PLS-DA models of FLP built by different variable selection methods.
Primary ID | 886 spectral variables | 20 spectral variables by CARS | 35 spectral variables by MC-UVE | 30 spectral variables by SPA | 129 spectral variables by LPG | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AC | CC | Ypre | Ydev | AC | CC | Ypre | Ydev | AC | CC | Ypre | Ydev | AC | CC | Ypre | Ydev | AC | CC | Ypre | Ydev | |
FLP-01 | 1 | 1 | 0.940 | 0.042 | 1 | 1 | 0.551 | 0.317 | 1 | 1 | 1.078 | 0.055 | 1 | 1 | 0.816 | 0.130 | 1 | 1 | 0.852 | 0.105 |
FLP-05 | 1 | 1 | 1.622 | 0.440 | 1 | 1 | 0.488 | 0.362 | 1 | 1 | 0.598 | 0.285 | 1 | 1 | 0.652 | 0.246 | 1 | 1 | 0.434 | 0.400 |
FLP-32 | 1 | 1 | 1.015 | 0.011 | 1 | 1 | 1.114 | 0.081 | 1 | 1 | 0.593 | 0.288 | 1 | 1 | 0.627 | 0.264 | 1 | 1 | 1.057 | 0.040 |
FLP-34 | 1 | 1 | 1.608 | 0.430 | 1 | UN | 0.380 | 0.438 | 1 | 1 | 1.290 | 0.205 | 1 | 1 | 1.172 | 0.122 | 1 | 1 | 0.974 | 0.018 |
FLP-40 | 1 | 1 | 0.799 | 0.142 | 1 | 1 | 1.133 | 0.094 | 1 | 1 | 0.609 | 0.277 | 1 | 1 | 1.013 | 0.009 | 1 | 1 | 0.906 | 0.066 |
FLP-50 | 1 | 1 | 0.810 | 0.134 | 1 | 1 | 1.138 | 0.098 | 1 | 1 | 0.866 | 0.095 | 1 | 1 | 1.436 | 0.308 | 1 | 1 | 0.870 | 0.092 |
FLP-59 | 1 | 1 | 0.617 | 0.271 | 1 | 1 | 0.971 | 0.021 | 1 | 1 | 0.579 | 0.298 | 1 | 1 | 1.321 | 0.227 | 1 | 1 | 0.647 | 0.249 |
FLP-30 | 2 | 2 | 1.895 | 0.074 | 2 | 2 | 1.474 | 0.372 | 2 | 2 | 2.465 | 0.329 | 2 | 2 | 1.802 | 0.140 | 2 | 2 | 1.737 | 0.186 |
FLP-46 | 2 | 2 | 2.681 | 0.482 | 2 | 2 | 1.502 | 0.352 | 2 | 2 | 1.701 | 0.212 | 2 | 2 | 2.47 | 0.332 | 2 | 2 | 1.604 | 0.280 |
FLP-49 | 2 | 2 | 2.587 | 0.415 | 2 | 2 | 2.053 | 0.037 | 2 | 2 | 1.509 | 0.347 | 2 | 2 | 1.866 | 0.095 | 2 | 2 | 1.521 | 0.339 |
FLP-54 | 2 | 2 | 1.855 | 0.102 | 2 | 2 | 1.566 | 0.307 | 2 | 2 | 1.663 | 0.238 | 2 | 2 | 1.657 | 0.243 | 2 | 2 | 1.962 | 0.027 |
FLP-08 | 3 | 3 | 2.989 | 0.008 | 3 | 3 | 3.368 | 0.260 | 3 | 3 | 3.039 | 0.028 | 3 | 3 | 3.469 | 0.332 | 3 | 3 | 2.899 | 0.072 |
FLP-26 | 4 | 4 | 3.616 | 0.271 | 4 | 4 | 3.900 | 0.071 | 4 | 4 | 4.463 | 0.327 | 4 | 4 | 3.779 | 0.156 | 4 | 4 | 3.828 | 0.121 |
FLP-45 | 4 | 4 | 4.412 | 0.291 | 4 | 4 | 4.350 | 0.247 | 4 | 4 | 3.723 | 0.196 | 4 | SU | 3.275 | 0.513 | 4 | 4 | 4.487 | 0.344 |
FLP-04 | 5 | 5 | 5.407 | 0.288 | 5 | 5 | 5.474 | 0.335 | 5 | 5 | 4.683 | 0.224 | 5 | 5 | 5.321 | 0.227 | 5 | 5 | 5.482 | 0.341 |
FLP-19 | 5 | 5 | 5.557 | 0.394 | 5 | 5 | 4.774 | 0.160 | 5 | 5 | 5.025 | 0.018 | 5 | 5 | 5.477 | 0.337 | 5 | 5 | 4.666 | 0.236 |
FLP-23 | 5 | SU | 5.727 | 0.514 | 5 | 5 | 4.785 | 0.152 | 5 | 5 | 5.335 | 0.237 | 5 | 5 | 4.589 | 0.291 | 5 | 5 | 4.760 | 0.170 |
FLP-25 | 5 | 5 | 4.777 | 0.158 | 5 | 5 | 4.599 | 0.284 | 5 | 5 | 4.789 | 0.149 | 5 | 5 | 4.720 | 0.198 | 5 | 5 | 4.809 | 0.135 |
Accuracy (%) | 94.44 | 94.44 | 100 | 94.44 | 100 | |||||||||||||||
R 2 | 0.932 | 0.950 | 0.958 | 0.949 | 0.964 | |||||||||||||||
RMSECV | 0.311 | 0.268 | 0.245 | 0.269 | 0.225 | |||||||||||||||
RMSEP | 0.410 | 0.353 | 0.323 | 0.354 | 0.296 |