TABLE 15. Results of the SVM Classifier Over the CheXNet Features.
| Score | All | PCA | RFE | PCA + RFE |
|---|---|---|---|---|
| Accuracy | 0.66 | 0.69 | 99.6 | 0.69 |
| Precision | 0.73 | 0.77 | 99.7 | 0.77 |
| Recall | 0.57 | 0.62 | 99.5 | 0.62 |
| F1-score | 0.58 | 0.63 | 99.4 | 0.63 |
| Score | All | PCA | RFE | PCA + RFE |
|---|---|---|---|---|
| Accuracy | 0.66 | 0.69 | 99.6 | 0.69 |
| Precision | 0.73 | 0.77 | 99.7 | 0.77 |
| Recall | 0.57 | 0.62 | 99.5 | 0.62 |
| F1-score | 0.58 | 0.63 | 99.4 | 0.63 |