Research Article
Automatic Detection of Atrial Fibrillation from ECG Signal Using Hybrid Deep Learning Techniques
Table 4
Performance of ResNet and RBF models using five-fold cross-validation.
| Validation number | Epochs | Accuracy (%) | F1 score (%) |
| 1 | 5 | 63.11 | 73.93 | 10 | 68.24 | 15 | 73.67 | 20 | 79.51 |
| 2 | 5 | 62.04 | 78.36 | 10 | 71.28 | 15 | 77.34 | 20 | 80.67 |
| 3 | 5 | 63.86 | 79.98 | 10 | 70.27 | 15 | 78.37 | 20 | 81.61 |
| 4 | 5 | 61.99 | 82.80 | 10 | 69.33 | 15 | 76.38 | 20 | 82.63 |
| 5 | 5 | 64.79 | 85.96 | 10 | 72.58 | 15 | 80.67 | 20 | 84.56 |
| Overall F1 score (%) | 80.20 |
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