Table 2.
Classification performance of machine learning classifiers.
| Accuracy (%) | Decision tree | Random forest | K-nearest neighbor |
|---|---|---|---|
| Fatty acid composition | 0.975 ± 0.023 | 0.992 ± 0.019 | 0.992 ± 0.019 |
| Hyperspectral images | 0.989 ± 0.006 | 0.999 ± 0.000 | 0.990 ± 0.001 |
|
F1-score |
Decision tree |
Random forest |
K-nearest neighbor |
| Fatty acid composition | 0.979 ± 0.022 | 0.992 ± 0.017 | 0.992 ± 0.017 |
| Hyperspectral images | 0.989 ± 0.006 | 0.999 ± 0.000 | 0.990 ± 0.001 |