Table 2. Random Forest’s Classification Performance with different feature sets.
| Methods | Class labels | Recall (95% CI) | Precision (95% CI) | F1-score (95% CI) | Overall accuracy (95% CI) |
|---|---|---|---|---|---|
| DLR | Normal | 0.922 (0.892–0.952) | 0.855 (0.815–0.895) | 0.887 (0.851–0.923) | 0.904 (0.870–0.937) |
| NCP | 0.877 (0.839–0.914) | 0.886 (0.851–0.922) | 0.881 (0.845–0.918) | ||
| COVID-19 | 0.913 (0.881–0.945) | 0.979 (0.963–0.995) | 0.945 (0.919–0.971) | ||
| DLR + ARF | Normal | 0.922 (0.892–0.953) | 0.864 (0.825–0.903) | 0.892 (0.857–0.927) | 0.910 (0.878–0.943) |
| NCP | 0.883 (0.847–0.919) | 0.898 (0.864–0.932) | 0.890 (0.855–0.926) | ||
| COVID-19 | 0.926 (0.896–0.956) | 0.976 (0.958–0.993) | 0.950 (0.925–0.975) |
DLR, deep learning latent representation; ARF, attentional lung region radiomics features; NCP, non-COVID-19 pneumonia; COVID-19, coronavirus disease 2019; CI, confidence interval.