Research Article
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19
Table 6
Binary-classification results of Model 3a and Model 3b for different evaluation metrics.
| | Classifier | Accuracy | Precision | Recall | F1 score |
| Model 3a | Naïve Bayes | 94.0 | 94.0 | 94.0 | 94.0 | SVM | 100 | 100 | 100 | 100 | Random forest | 99.0 | 99.0 | 99.0 | 99.0 | XGBoost | 99.0 | 99.0 | 99.0 | 99.0 |
| Model 3b | Naive Bayes | 100 | 100 | 100 | 100 | SVM | 100 | 100 | 100 | 100 | Random forest | 100 | 100 | 100 | 100 | XGBoost | 99 | 99 | 99 | 99 |
|
|