Table 7.
MSVM testing for age with different kernels.
Kernel with hyperparameters | Number of samples correctly classified | Number of samples misclassified | Accuracy (%) |
---|---|---|---|
Linear (C = 200) | 39 | 09 | 81.25 |
Polynomial (d = 4, C = 64, and g = 0.05273) | 36 | 12 | 75.0 |
RBF (C = 45 and g = 0.04317) | 47 | 48 | 97.916 |
Sigmoid (C = 256 and g = 0.63419) | 42 | 06 | 87.50 |