Table 2. IFS performance with SVM and different top features.
Number of features | Sensitivity | Specificity | Accuracy | Matthew correlation coefficient |
---|---|---|---|---|
1 | 0.938 | 0.591 | 0.873 | 0.560 |
2 | 0.875 | 0.818 | 0.864 | 0.620 |
3 | 0.885 | 0.773 | 0.864 | 0.603 |
4 | 0.885 | 0.773 | 0.864 | 0.603 |
5 | 0.885 | 0.818 | 0.873 | 0.636 |
6 | 0.865 | 0.864 | 0.864 | 0.638 |
7 | 0.917 | 0.864 | 0.907 | 0.723 |
8 | 0.927 | 0.864 | 0.915 | 0.743 |
9 | 0.927 | 0.909 | 0.924 | 0.775 |
10 | 0.938 | 0.909 | 0.932 | 0.796 |
11 | 0.948 | 0.864 | 0.932 | 0.785 |
12 | 0.927 | 0.864 | 0.915 | 0.743 |
13 | 0.927 | 0.864 | 0.915 | 0.743 |
14 | 0.927 | 0.864 | 0.915 | 0.743 |
15 | 0.927 | 0.864 | 0.915 | 0.743 |