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. 2018 Jan 3;8(3):1337–1345. doi: 10.1039/c7ra05954j

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%