Table 7.
Performances of different classifiers tested on DDSM database and MIAS database
| Our method | SVM | GA-SVM | PSO-SVM | Decision tree | |
|---|---|---|---|---|---|
| Sensitivity | 90 | 80 | 82.5 | 85 | 87.5 |
| Specificity | 96 | 82 | 86 | 86 | 96 |
| PPV | 94.87 | 78.05 | 82.5 | 82.93 | 94.59 |
| NPV | 92.31 | 83.67 | 86 | 88 | 90.57 |
| Accuracy | 91.73 | 73.03 | 79.73 | 80.13 | 90.00 |
Bold font number indicates the best performance in each line
SVM support vector machine, GA-SVM genetic algorithm support vector machine, PSO-SVM particle swarm optimization support vector machine, PPV positive predictive value, NPV negative predictive value