Table 2.
The Root mean square error, root mean standard deviation and R2 value obtained using the artificial neural network, constructed on the synchronised spectral wavelengths which had a VIP > 0.8. The model was cross validated using different methods k-fold or CV-10 (k), Holdback at 0.33% (HB) and excluded row (ER)
| Oil adulterant | RMSE | RMSD | R2 | MBE | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| k | HB | ER | k | HB | ER | k | HB | ER | k | HB | ER | |
| Sunflower | 6.803 | 2.940 | 1.694 | 1.004 | 3.727 | 0.356 | 0.984 | 0.998 | 0.999 | − 0.111 | 0.061 | − 0.075 |
| Linseed | 1.609 | 3.231 | 1.031 | 1.231 | 6.043 | 0.037 | 0.999 | 0.996 | 1.000 | − 0.015 | − 0.027 | − 0.009 |
| Corn | 1.254 | 1.780 | 0.420 | 0.810 | 2.804 | 0.003 | 1.000 | 0.999 | 1.000 | − 0.027 | 0.217 | 0.001 |
| Soya | 3.018 | 3.546 | 1.330 | 0.704 | 7.177 | 0.007 | 1.000 | 0.996 | 0.995 | − 0.004 | 0.379 | 0.146 |
| Peanut | 6.314 | 6.808 | 2.618 | 3.014 | 7.411 | 0.000 | 0.987 | 0.980 | 0.997 | − 0.088 | 0.132 | − 0.171 |
| Rapeseed | 0.001 | 6.928 | 1.458 | 2.967 | 5.949 | 0.000 | 1.000 | 0.980 | 0.999 | 0.000 | − 0.265 | − 0.006 |