Research Article
Breast Cancer Detection with Reduced Feature Set
Table 4
The comparison of ICA algorithm’s effect on the classifiers’ performance measures (sensitivity, specificity, accuracy, and
-score in %).
| Measures | -NN | ANN | RBFNN | SVM (RBF K.) | 1F | 30F | 1F | 30F | 1F | 30F |
1F | 30F |
| -score | 92.98 | 94.65 | 92.76 | 98.07 | 92.61 | 80.57 | 93.04 | 96.21 | DP | 2.539 | 2.912 | 2.655 | InF | 2.606 | 1.131 | 2.769 | 3.267 | | 0.795 | 0.839 | 0.766 | 0.934 | 0.763 | 0.284 | 0.772 | 0.899 | Accuracy | 91.03 | 93.14 | 90.5 | 97.53 | 90.49 | 87.17 | 90.86 | 95.25 | Specificity | 84.9 | 87.26 | 79.71 | 93.39 | 79.71 | 34.9 | 79.71 | 93.86 | Sensitivity | 94.67 | 96.63 | 96.91 | 100 | 96.63 | 93.55 | 97.47 | 96.07 |
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