Table 3.
Comparison with other SVMs using different kernels.
Methods | ACC (%) | SEN (%) | SPE (%) | AUC |
---|---|---|---|---|
RBF-SVM | 80.00 | 76.06 | 83.78 | 0.8601 |
Poly-SVM | 82.07 | 77.46 | 86.49 | 0.8506 |
Sigm-SVM | 87.59 | 83.10 | 91.89 | 0.9393 |
LSVM | 93.10 | 92.96 | 93.24 | 0.950 |
Bold text indicates that the best result is obtained on a certain evaluation metric.