Table 5.
Metric values of the confusion matrix obtained by the SqueezeNet model.
| Model & Dataset Type |
Classes | F-Scr. (%) | Se. (%) | Sp. (%) | Pre. (%) | Acc. (%) | Overall Acc. (%) |
|---|---|---|---|---|---|---|---|
| SqueezeNet & Original Data |
COVID-19 | 96.59 | 96.59 | 90.91 | 96.59 | 95.04 | 84.56 |
| Normal | 44.44 | 31.57 | 98.19 | 75 | 88.46 | ||
| Pneumonia | 69.56 | 82.75 | 85.04 | 60 | 84.56 | ||
| SqueezeNet & Structured dataset (Fuzzy Technique) |
COVID-19 | 99.43 | 98.86 | 100 | 100 | 99.24 | 95.58 |
| Normal | 87.80 | 94.73 | 96.55 | 81.82 | 96.29 | ||
| Pneumonia | 89.29 | 86.21 | 98.13 | 92.59 | 95.59 | ||
| SqueezeNet & Stacked dataset (Stacked Technique) |
COVID-19 | 99.44 | 100 | 97.78 | 98.88 | 99.25 | 97.06 |
| Normal | 91.89 | 89.47 | 99.14 | 94.44 | 97.78 | ||
| Pneumonia | 93.10 | 93.10 | 98.13 | 93.10 | 97.06 |