Research Article
Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques
Table 5
The classification performance for pneumonia with SURF features.
| Classifier model | TPR/recall (%) | FNR (%) | PPV/precision (%) | FDR (%) | F1-score (%) |
| Fine tree | 85.00 | 15.0 | 89.50 | 10.70 | 87.20 | Linear discriminant | 97.50 | 2.50 | 97.50 | 2.50 | 97.50 | Logistic regression | 97.50 | 2.50 | 97.50 | 2.50 | 97.50 | Linear SVM | 98.80 | 1.20 | 97.50 | 2.50 | 98.14 | Coarse Gaussian SVM | 97.50 | 2.50 | 98.70 | 1.30 | 98.10 | Cosine kNN | 98.80 | 1.20 | 82.30 | 17.70 | 89.80 | Ensemble subspace discriminant | 97.50 | 2.50 | 97.50 | 2.50 | 97.50 |
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