Table 3.
Performance evaluation of the proposed model and traditional models using Wisconsin Dataset.
| Wisconsin Dataset | |||||
|---|---|---|---|---|---|
| Measures | FF[23] | PSO[24] | GWO[25] | DA[22] | F-DA |
| Accuracy | 0.6516 | 0.6497 | 0.6516 | 0.6497 | 0.9559 |
| Sensitivity | 0.0862 | 0.0804 | 0.0862 | 0.0804 | 1 |
| Specificity | 0.7646 | 0.7634 | 0.7646 | 0.7634 | 0.9471 |
| Precision | 0.0681 | 0.0636 | 0.0681 | 0.0636 | 0.7909 |
| FPR | 0.2353 | 0.2365 | 0.2353 | 0.2365 | 0.0528 |
| FNR | 0.9137 | 0.9195 | 0.9137 | 0.9195 | 0 |
| NPV | 0.7646 | 0.7634 | 0.7646 | 0.7634 | 0.9471 |
| FDR | 0.9318 | 0.9363 | 0.9318 | 0.9363 | 0.2090 |
| F1_score | 0.0761 | 0.0710 | 0.0761 | 0.0710 | 0.8832 |
| MCC | -.1363 | -.1426 | -.1363 | -.1426 | 0.8655 |