Classification results of SVM models developed on optimal wavelengths with 3000 and 1100 samples of each variety in the calibration set.
Samples of each variety in the calibration set | Calibration | Prediction | |||||||
---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | Accuracy | 1 | 2 | 3 | Accuracy | ||
3000 | 1 | 2743 | 39 | 218 | 91.43% | 1099 | 58 | 143 | 84.54% |
2 | 39 | 2906 | 55 | 96.87% | 56 | 1162 | 82 | 89.38% | |
3 | 181 | 52 | 2767 | 92.23% | 117 | 36 | 1147 | 88.23% | |
Total | 93.51% | 87.38% | |||||||
1100 | 1 | 995 | 17 | 88 | 90.45% | 1079 | 58 | 163 | 83.00% |
2 | 11 | 1072 | 17 | 97.45% | 69 | 1156 | 75 | 88.92% | |
3 | 83 | 22 | 995 | 90.45% | 160 | 50 | 1090 | 83.85% | |
Total | 92.79% | 85.26% |