Table 6 Comparative analysis of four measures on the CNS dataset.
From: Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection
EAs | Performance | SVM-L | SVM-P | SVM-R |
|---|---|---|---|---|
GA | Accuracy | 83.52 | 81.25 | 86.32 |
Sensitivity | 82.25 | 80.25 | 84.63 | |
Specificity | 78.63 | 79.36 | 85.6 | |
F-measure | 84.25 | 78.31 | 84.87 | |
PSO | Accuracy | 85.67 | 83.54 | 81.63 |
Sensitivity | 82.63 | 81.74 | 80.52 | |
Specificity | 79.34 | 79.86 | 79.38 | |
F-measure | 80.52 | 76.58 | 77.94 | |
CS | Accuracy | 75.36 | 74.22 | 76.32 |
Sensitivity | 74.25 | 71.02 | 70.05 | |
Specificity | 77.89 | 75.23 | 71.95 | |
F-measure | 72.84 | 73.65 | 74.25 | |
GOA | Accuracy | 78.25 | 73.56 | 74.85 |
Sensitivity | 77.84 | 73.89 | 73.45 | |
Specificity | 76.52 | 75.89 | 79.65 | |
F-measure | 77.25 | 76.84 | 77.06 | |
Our | Accuracy | 88.25 | 87.62 | 85.32 |
Sensitivity | 87.67 | 85.66 | 84.79 | |
Specificity | 84.63 | 86.07 | 85.97 | |
F-measure | 84.25 | 83.96 | 82.78 |
