Table 4.
Performance evaluation of various models on COVID-19 datasets under within-dataset environment. (a) , (b) . The first row for each dataset represents the Micro average, and the second represents the Macro average.
Method | Dataset | F1 | Prec. | Rec. |
---|---|---|---|---|
Proposed model | (a) | 77.85 | 77.88 | 78.26 |
72.65 |
73.63 |
72.28 |
||
(b) | 89.90 | 89.97 | 89.89 | |
89.85 | 89.80 | 89.97 | ||
Badjatiya et al. (2017) | (a) | 78.86 | 79.18 | 79.95 |
73.22 |
76.62 |
71.83 |
||
(b) | 90.12 | 90.32 | 91.82 | |
90.53 | 90.32 | 91.34 | ||
Agrawal and Awekar (2018) | (a) | 58.66 | 50.10 | 70.76 |
41.43 |
35.38 |
50.00 |
||
(b) | 89.65 | 89.70 | 89.67 | |
89.59 | 89.71 | 89.52 |