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The evaluation of classification performance corresponding to different functional connectome features.
| Methods | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC |
| Connection (C) | 64.29 | 50.00 | 77.23 | 0.728 |
| Global Metrics (G) | 69.05 | 65.00 | 72.73 | 0.793 |
| Nodal Metrics (N) | 73.81 | 80.00 | 68.18 | 0.865 |
| MK_C + G | 71.43 | 75.00 | 68.18 | 0.836 |
| MK_C + N | 78.57 | 85.00 | 72.73 | 0.888 |
| MK_G + N | 80.95 | 85.00 | 77.27 | 0.918 |
| MK_C + G + N | 83.33 | 90.00 | 77.27 | 0.927 |
MK-SVM, multiple kernel-support vector machine.
