Table 7 Comparison of existing and proposed models for various performance metrics for the COVID-19 chest X-ray image dataset.
Models | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | MAE (%) | MSE (%) | RMSE (%) |
---|---|---|---|---|---|---|---|
Bi-LSTM | 88.45 | 90.43 | 95.46 | 94.36 | 3.675 | 2.6754 | 3.567 |
RNN | 85.65 | 87.35 | 90.45 | 90.45 | 1.8657 | 3.675 | 1.567 |
GRU | 90.34 | 93.45 | 96.45 | 89.34 | 2.685 | 1.345 | 2.564 |
DenseNet 129 | 95.97 | 86.56 | 89.45 | 96.78 | 0.4531 | 4.986 | 0.567 |
Mobile Net | 93.56 | 96.45 | 95.04 | 95.89 | 2.6785 | 0.675 | 4.5454 |
Proposed | 99.54 | 97.13 | 97.13 | 97.13 | 0.0046 | 0.0093 | 0.0963 |