Method number | Feature | No. PCs | Kernel | Mean accuracy | SD | Sensitivity | SD | Specificity | SD |
---|---|---|---|---|---|---|---|---|---|
ML 1 | PCs | 3 | Linear | 0.91 | 0.05 | 0.93 | 0.05 | 0.88 | 0.10 |
ML 2 | PCs | 5 | Linear | 0.92 | 0.05 | 0.94 | 0.06 | 0.88 | 0.10 |
ML 3 | PCs | 10 | Linear | 0.91 | 0.05 | 0.93 | 0.06 | 0.86 | 0.10 |
ML 4 | PCs | 15 | Linear | 0.89 | 0.05 | 0.92 | 0.06 | 0.83 | 0.11 |
ML 5 | PCs | 20 | Linear | 0.89 | 0.05 | 0.92 | 0.07 | 0.83 | 0.12 |
ML 6 | PCs | 3 | RBF | 0.91 | 0.05 | 0.91 | 0.07 | 0.89 | 0.09 |
ML 7 | PCs | 5 | RBF | 0.91 | 0.06 | 0.92 | 0.06 | 0.89 | 0.10 |
ML 8 | PCs | 10 | RBF | 0.90 | 0.05 | 0.91 | 0.07 | 0.88 | 0.09 |
ML 9 | PCs | 15 | RBF | 0.89 | 0.05 | 0.91 | 0.07 | 0.87 | 0.10 |
ML 10 | PCs | 20 | RBF | 0.90 | 0.05 | 0.90 | 0.07 | 0.89 | 0.10 |
ML 11 | Voxels | Â | Linear | 0.88 | 0.05 | 0.91 | 0.06 | 0.84 | 0.11 |
ML 12 | SBRs | Â | Linear | 0.89 | 0.05 | 0.92 | 0.06 | 0.82 | 0.10 |
ML 13 | SBRs | Â | RBF | 0.89 | 0.06 | 0.91 | 0.07 | 0.85 | 0.10 |