TABLE 8. The Performance of Cross-Validation for Deep Neural Networks (COVID 19 Dataset).
| DL Models | Measure Performance Methods | |||
|---|---|---|---|---|
| Accuracy | Precision | Recall | F1-score | |
| Modified LSTM one layer | 98.37± 0.1 | 98.59± 0.15 | 99.74± 0.14 | 99.16± 0.05 |
| Modified LSTM two layers | 98.57± 0.14 | 98.82± 0.18 | 99.71± 0.14 | 99.26± 0.07 |
| Modified LSTM three layers | 97.72± 0.12 | 97.98± 0.14 | 99.68± 0.18 | 98.82± 0.06 |
| Modified GRU one layer | 98.33± 0.16 | 98.67± 0.16 | 99.62± 0.19 | 99.14± 0.08 |
| Modified GRU two layers | 98.15± 0.15 | 98.46± 0.22 | 99.63± 0.24 | 99.04± 0.08 |
| Modified GRU three layers | 97.62± 0.1 | 97.95± 0.17 | 99.61± 0.2 | 98.77± 0.05 |