Research Article
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention
Table 11
Analysis of results with different dropout rates for the proposed hybrid BiGRU model.
| Dropout rate | Dataset | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
| 0.2 | Hallmarks | 61.88 | 57.19 | 58.84 | 58.00 | AIM | 89.72 | 83.58 | 82.97 | 83.27 |
| 0.3 | Hallmarks | 71.51 | 66.73 | 64.70 | 65.69 | AIM | 62.39 | 57.18 | 55.23 | 56.18 |
| 0.4 | Hallmarks | 72.82 | 71.56 | 70.92 | 71.23 | AIM | 94.22 | 89.87 | 88.21 | 86.12 |
| 0.5 | Hallmarks | 72.45 | 68.97 | 67.88 | 68.42 | AIM | 81.61 | 75.98 | 74.92 | 75.44 |
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