Research Article
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention
Table 12
Analysis of results with different optimizers for the proposed hybrid BiGRU model.
| Optimizer | Dataset | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
| Adam | Hallmarks | 70.52 | 74.78 | 73.16 | 73.96 | AIM | 93.98 | 88.63 | 89.08 | 88.85 |
| SGD | Hallmarks | 69.72 | 65.23 | 61.83 | 63.48 | AIM | 69.31 | 66.57 | 68.27 | 67.40 |
| Nadam | Hallmarks | 70.13 | 68.84 | 68.64 | 68.73 | AIM | 80.62 | 75.96 | 72.56 | 74.22 |
| AdaGrad | Hallmarks | 65.15 | 62.46 | 55.81 | 58.94 | AIM | 86.15 | 81.59 | 81.28 | 81.43 |
|
|