Table 3.
Feature extraction results
| Techniques | Number of features used for classification | Measures | ||
|---|---|---|---|---|
| Accuracy (%) | Specificity (%) | Sensitivity (%) | ||
| FCDNN | 20 | 81.77 | 90.44 | 80.39 |
| GSFS | 14 | 88.09 | 67.87 | 84.90 |
| CNN | 19 | 82.7 | 78.09 | 80.90 |
| DL | 12 | 80.35 | 87.09 | 88.90 |
| Proposed | 50 | 91.7 | 92.34 | 90.36 |