Table 9.
Performance of machine learning models with Histogram of Oriented Gradients (HOG) features.
| Model | Task | Prec. | Rec. | F1 | Acc. | AUC |
|---|---|---|---|---|---|---|
| RF | COVID-CT | 0.554 | 0.744 | 0.635 | 74.44% | 0.583 |
| COVID-NAT | 0.631 | 0.582 | 0.450 | 58.15% | 0.536 | |
| COVID-Severity | 0.360 | 0.426 | 0.390 | 42.61% | 0.559 | |
| LGBM | COVID-CT | 0.666 | 0.742 | 0.647 | 74.19% | 0.675 |
| COVID-NAT | 0.563 | 0.579 | 0.548 | 57.89% | 0.560 | |
| COVID-Severity | 0.442 | 0.461 | 0.425 | 46.12% | 0.659 |
Note: HOG features were dimensionally reduced to the same size as radiomic features for a fair comparison.