Table 3. Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.
Class | Precision | Recall | F1-Score | Support |
---|---|---|---|---|
Bacterial | 98.03 | 98.81% | 98.42% | 504 |
COVID-19 | 94.34% | 92.48% | 93.40% | 505 |
Normal | 94.27% | 94.64% | 94.46% | 504 |
Viral | 98.03% | 98.81% | 98.42 | 504 |
Accuracy | 96.18% | 2017 | ||
Macro Avg | 96.17% | 96.18% | 96.17% | 2017 |
Weighted Avg | 96.17% | 96.17% | 96.17% | 2017 |