Table 3.
The statistics for evaluating classification performance.
| Modality | ACC | SEN | SPE | AUC | P |
|---|---|---|---|---|---|
| Condition:CSVD-c group vs. control group | |||||
| GMV | 84.62% | 76.92% | 89.74% | 0.857 | <0.05 |
| WMV | 76.92% | 69.23% | 82.05% | 0.817 | <0.05 |
| GMV+WMV | 86.15% | 80.77% | 89.74% | 0.926 | <0.05 |
| Condition:CSVD-n group vs. control group | |||||
| GMV | 74.39% | 67.44% | 82.05% | 0.815 | <0.05 |
| WMV | 74.39% | 65.12% | 84.62% | 0.804 | <0.05 |
| GMV+WMV | 81.71% | 69.77% | 94.87% | 0.891 | <0.05 |
| Condition:CSVD-c group vs. CSVD-n group | |||||
| GMV | 68.12% | 57.69% | 74.42% | 0.770 | <0.05 |
| WMV | 79.71% | 73.08% | 83.72% | 0.815 | <0.05 |
| GMV+WMV | 81.16% | 69.23% | 88.37% | 0.881 | <0.05 |
ACC/SEN/SPE, accuracy/sensitivity/specificity; AUC, area under the ROC curve. P: p-values generated by non-parametric permutation testing with 5,000 randomizations.