Table 3 Performance comparison using different architectures in CapsNet-SSP
From: CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
Architectures | Accuracy | Sensitivity | Specificity | Precision | F-score | MCC | AUC |
|---|---|---|---|---|---|---|---|
One-Lane Conv | 0.792 (8.8e-08) | 0.827 (5.0e-07) | 0.758 (2.3e-07) | 0.771 (4.0e-08) | 0.811 (3.6e-07) | 0.602 (1.6e-07) | 0.863 (1.1e-06) |
Multi-Lane Conv | 0.812 (4.4e-08) | 0.806 (6.4e-06) | 0.818 (1.0e-07) | 0.814 (1.0e-08) | 0.810 (9.6e-07) | 0.624 (4.1e-08) | 0.869 (2.5e-06) |
One-Lane CapsNet | 0.832 (0.015) | 0.847 (0.04) | 0.818 (0.013) | 0.822 (0.013) | 0.834 (0.013) | 0.665 (0.025) | 0.915 (0.001) |
Multi-Lane CapsNet | 0.888 (N/A) | 0.847 (N/A) | 0.929 (N/A) | 0.922 (N/A) | 0.884 (N/A) | 0.779 (N/A) | 0.948 (N/A) |