Table 6.
Parameter sensitivity analysis: model performance across different hyperparameter settings.
| Parameter | Setting | Accuracy (%) | Recall (%) | F1 score (%) |
|---|---|---|---|---|
| GCN layer depth | 2 | 89.34 | 88.12 | 88.72 |
| 3 | 92.56 | 91.78 | 92.17 | |
| 4 | 91.01 | 89.95 | 90.47 | |
| Attention dimension | 64 | 90.12 | 89.45 | 89.78 |
| 128 | 93.01 | 92.43 | 92.72 | |
| 256 | 91.45 | 90.11 | 90.77 | |
| Domain regularization weight | 0.1 | 90.45 | 89.67 | 90.05 |
| 0.5 | 93.12 | 92.56 | 92.83 | |
| 1.0 | 91.23 | 90.34 | 90.78 |
The values in bold are the best values.