Research Article
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19
Table 5
Results of baseline, Model 1, Model 2a, and Model 2b.
| Classes | Accuracy | Precision | Recall | F1 score |
| Baseline | COVID-19 vs. normal | 98.82 | 98.87 | 98.77 | 98.82 | COVID-19 vs. pneumonia | 97.25 | 97.20 | 97.29 | 97.24 | COVID-19 vs. normal vs. pneumonia | 93.95 | 94.09 | 93.85 | 93.91 |
| CNN | COVID-19 vs. normal | 99.27 | 98.62 | 100 | 99.30 | COVID-19 vs. pneumonia | 98.73 | 99.29 | 98.25 | 98.77 | COVID-19 vs. normal vs. pneumonia | 96.10 | 96.20 | 95.80 | 95.90 |
| VGG16 | COVID-19 vs. normal | 99.82 | 99.65 | 100 | 99.82 | COVID-19 vs. pneumonia | 99.45 | 99.65 | 99.30 | 99.47 | COVID-19 vs. normal vs. pneumonia | 97.60 | 97.40 | 97.50 | 97.40 |
| VGG19 | COVID-19 vs. normal | 100 | 100 | 100 | 100 | COVID-19 vs. pneumonia | 99.45 | 99.65 | 99.30 | 99.47 | COVID-19 vs. normal vs. pneumonia | 96.60 | 96.50 | 96.40 | 96.40 |
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