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The binary classification results that are obtained using the SVM classifier after the two feature selection approaches.
| Method | No of features | Accuracy (%) | Sensitivity | Specificity | Precision | F 1-Score |
|---|---|---|---|---|---|---|
| Before Feature Selection | ||||||
| Pooling + Fully Connected Features (scenario III) | 310 | 98.6 | 0.986 | 0.986 | 0.986 | 0.986 |
| After Feature Selection | ||||||
| SU | 204 | 98.8 | 0.988 | 0.988 | 0.988 | 0.988 |
