SVM Classification Method of Waxy Corn Seeds with Different Vitality Levels Based on Hyperspectral Imaging

Table 5

The classification accuracy of SVM models using the 2nd derivative and SPA using feature wavelengths.

Methods	Variables	Training accuracy (%)	Testing accuracy (%)	RMSE
2nd-derivative-SVM	20	96.5278	95.8333	0.0385	0.9218
SPA-SVM	8	98.75	97.1111	0.0238	0.9435