Table 5 Evaluation standards of all ensemble models with train-test split approach in test 3.
From: An innovative ensemble model based on deep learning for predicting COVID-19 infection
| Â | Accuracy | F1-score | Precision | Recall | AUC |
|---|---|---|---|---|---|
CNNRNNA | 0.8585 | 0.8535 | 0.8535 | 0.8535 | 0.79 |
CNNLSTMA | 0.8890 | 0.8901 | 0.8901 | 0.8901 | 0.89 |
WOCLSA | 0.9166 | 0.9233 | 0.9233 | 0.9233 | 0.93 |
GWOCLSA | 0.9099 | 0.9066 | 0.9066 | 0.9066 | 0.94 |