Method | Sensitivity (%) | Specificity (%) | AUC |
SVM linear kernels | 48.37 ± 13.97 | 98.19 ± 2.23 | 0.73 ± 0.06 |
SVM polynomial kernels | 53.17 ± 11.20 | 97.08 ± 1.63 | 0.75 ± 0.06 |
SVM RBF kernels | 53.17 ± 11.20 | 98.55 ± 1.52 | 0.76 ± 0.05 |
Multiple linear regression | 86.11 ± 10.01 | 77.44 ± 7.62 | 0.82 ± 0.04 |