Classifiers | Feature ranking methods | High vs. low | High vs. intermediate | Intermediate vs. low | High + intermediate vs. low | High vs. low + intermediate |
---|---|---|---|---|---|---|
SVM | Covariance | 0.66 ± 0.11 | 0.64 ± 0.19 | 0.56 ± 0.15 | 0.62 ± 0.08 | 0.65 ± 0.12 |
WRST | 0.64 ± 0.11 | 0.61 ± 0.16 | 0.55 ± 0.14 | 0.61 ± 0.08 | 0.66 ± 0.12 | |
MRMR-mid | 0.68 ± 0.12 | 0.67 ± 0.18 | 0.53 ± 0.17 | 0.61 ± 0.10 | 0.63 ± 0.13 | |
MRMR-miq | 0.67 ± 0.13 | 0.65 ± 0.17 | 0.54 ± 0.17 | 0.62 ± 0.10 | 0.64 ± 0.12 | |
LDA | Covariance | 0.65 ± 0.11 | 0.62 ± 0.19 | 0.57 ± 0.15 | 0.63 ± 0.09 | 0.65 ± 0.09 |
WRST | 0.63 ± 0.12 | 0.61 ± 0.18 | 0.53 ± 0.16 | 0.62 ± 0.08 | 0.64 ± 0.12 | |
MRMR-mid | 0.65 ± 0.13 | 0.66 ± 0.19 | 0.54 ± 0.15 | 0.61 ± 0.09 | 0.64 ± 0.12 | |
MRMR-miq | 0.64 ± 0.13 | 0.64 ± 0.21 | 0.55 ± 0.15 | 0.61 ± 0.09 | 0.66 ± 0.12 | |
QDA | Covariance | 0.62 ± 0.13 | 0.60 ± 0.18 | 0.54 ± 0.15 | 0.61 ± 0.09 | 0.64 ± 0.12 |
WRST | 0.59 ± 0.13 | 0.59 ± 0.15 | 0.52 ± 0.16 | 0.62 ± 0.09 | 0.63 ± 0.11 | |
MRMR-mid | 0.61 ± 0.14 | 0.61 ± 0.17 | 0.51 ± 0.15 | 0.58 ± 0.11 | 0.62 ± 0.14 | |
MRMR-miq | 0.63 ± 0.12 | 0.62 ± 0.18 | 0.53 ± 0.16 | 0.60 ± 0.10 | 0.63 ± 0.12 |