Table 6 The comparison of HeSiaNet as the heterogeneous-SNN and Hom-SNN as the homogeneous-SNN models
Model | AUC-ROC (%) | AUC-PR (%) | ACC (%) | BS (%) | MCC (%) | F1-score (%) |
|---|---|---|---|---|---|---|
HeSiaNet | \(84.2 \pm 0.29\) | \(91.08 \pm 0.04\) | \(90.35 \pm 0.13\) | \(11.99 \pm 0.05\) | \(68.51 \pm 1.22\) | \(82.31 \pm 0.03\) |
Hom- SNN | \(81.56 \pm 0.34\) | \(85.68 \pm 0.91\) | \(81.58 \pm 0.30\) | \(12.48 \pm 0.83\) | \(64.38 \pm 2.25\) | \(78.46 \pm 1.09\) |