Table 3.
The AUC and AUPR scores of Deep-LC and other four methods.
| Method | AUC | AUPR |
|---|---|---|
| Deep-LC | 0.8017 | 0.7893 |
| GCN | 0.7343 | 0.7028 |
| CNN | 0.7122 | 0.6855 |
| RF | 0.6965 | 0.6834 |
| KNN | 0.6137 | 0.5962 |
AUC, area under the receiver operating characteristic curve; AUPR, area under the precision–recall curve; GCN, graph convolutional network; CNN, convolutional neural network; RF, random forest; KNN, K-nearest neighbor.