Table 6 IPR, FRD, and classification accuracy for the CB dataset.
NO | Feature Subset | FRD | IPR | SVM | KNN |
|---|---|---|---|---|---|
1 | 21, 17, 34, 43, 60 | 0.4545 | 0.1882 | 0.6431 | 0.7337 |
2 | 26, 9, 45, 7, 30 | 0.4546 | 0.1965 | 0.6672 | 0.6674 |
3 | 28, 33, 24, 56, 58 | 0.4560 | 0.1943 | 0.6044 | 0.5937 |
4 | 36, 39, 35, 25, 10 | 0.4571 | 0.1912 | 0.7201 | 0.7203 |
5 | 40, 38, 21, 14, 54 | 0.4619 | 0.1908 | 0.5943 | 0.6718 |
6 | 14, 7, 55, 20, 32 | 0.4618 | 0.1878 | 0.6382 | 0.7000 |
7 | 18, 41, 35, 16, 2 | 0.4672 | 0.2147 | 0.6189 | 0.5891 |
8 | 55, 19, 14, 22, 13 | 0.4672 | 0.1961 | 0.6675 | 0.6334 |
9 | 44, 11, 30, 21,18 | 0.4686 | 0.1860 | 0.7932 | 0.8121 |
10 | 58, 42, 38, 42, 30 | 0.4714 | 0.2168 | 0.5704 | 0.5936 |
11 | 31, 23, 18, 41, 35 | 0.4753 | 0.1903 | 0.7046 | 0.7202 |
12 | 20, 31, 36, 44,16 | 0.4826 | 0.1872 | 0.7487 | 0.7443 |