Table 3.
The root mean square error, root mean standard deviation and R2 value obtained using the artificial neural network, constructed on the whole synchronised spectrum at 24 nm. 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 | 3.202 | 7.414 | 3.110 | 0.066 | 0.000 | 4.230 | 0.997 | 0.977 | 0.996 | − 0.083 | − 0.098 | − 0.080 |
| Linseed | 1.655 | 6.199 | 7.597 | 0.017 | 1.948 | 2.797 | 0.999 | 0.988 | 0.989 | − 0.106 | 0.241 | 1.468 |
| Corn | 0.090 | 6.351 | 1.023 | 0.007 | 0.005 | 1.126 | 1.000 | 0.989 | 1.000 | − 0.026 | − 0.096 | − 0.059 |
| Soya | 0.001 | 4.478 | 3.321 | 0.000 | 3.332 | 1.200 | 1.000 | 0.995 | 0.996 | 0.000 | − 0.061 | − 0.372 |
| Peanut | 0.097 | 11.449 | 21.201 | 0.018 | 5.149 | 1.195 | 1.000 | 0.944 | 0.789 | − 0.007 | 0.087 | 0.001 |
| Rapeseed | 0.862 | 5.409 | 1.658 | 0.000 | 1.123 | 1.624 | 1.000 | 0.992 | 0.999 | 0.036 | 1.275 | 0.062 |