Research Article
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention
Table 4
Analysis of results with different dropout rates for the proposed quad channel hybrid model.
| Dropout rate | Dataset | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
| 0.2 | Hallmarks | 69.75 | 61.65 | 62.89 | 62.26 | AIM | 90.17 | 87.38 | 85.12 | 86.23 |
| 0.3 | Hallmarks | 71.76 | 63.63 | 61.79 | 62.69 | AIM | 56.23 | 51.80 | 52.67 | 52.23 |
| 0.4 | Hallmarks | 71.19 | 65.99 | 63.18 | 64.55 | AIM | 79.71 | 73.99 | 72.91 | 73.44 |
| 0.5 | Hallmarks | 72.93 | 70.95 | 69.67 | 70.30 | AIM | 94.73 | 87.81 | 88.98 | 88.39 |
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