Table 4 Evaluation standards of all ensemble models with train-test split approach in test 2.
From: An innovative ensemble model based on deep learning for predicting COVID-19 infection
| Â | Accuracy | F1-score | Precision | Recall | AUC |
|---|---|---|---|---|---|
CNNRNNA | 0.8655 | 0.8655 | 0.8655 | 0.8655 | 0.74 |
CNNLSTMA | 0.8789 | 0.8788 | 0.8788 | 0.8788 | 0.85 |
WOCLSA | 0.9279 | 0.9279 | 0.9279 | 0.9279 | 0.91 |
GWOCLSA | 0.9191 | 0.9211 | 0.9211 | 0.9211 | 0.90 |