Research Article
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention
Table 3
Analysis of results with different learning rates for the proposed quad channel hybrid model.
| Learning rate | Dataset | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
| 0.1 | Hallmarks | 59.85 | 61.76 | 60.78 | 61.26 | AIM | 75.47 | 78.31 | 79.16 | 78.73 |
| 0.01 | Hallmarks | 73.18 | 71.95 | 72.67 | 72.30 | AIM | 95.72 | 86.77 | 83.98 | 85.35 |
| 0.001 | Hallmarks | 72.19 | 70.99 | 72.98 | 71.97 | AIM | 84.65 | 79.99 | 79.81 | 79.89 |
| 0.0001 | Hallmarks | 71.73 | 74.31 | 73.81 | 74.05 | AIM | 82.36 | 80.91 | 79.73 | 80.31 |
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