Table 6.
Parameter | Classifier | FS1 | FS2 | FS3 | FS4 |
---|---|---|---|---|---|
Accuracy | LDA | 0.001 | 0.210 | p < 0.001 | p < 0.001 |
SVM | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
KNN | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
| |||||
Sensitivity | LDA | 0.001 | 0.194 | p < 0.001 | p < 0.001 |
SVM | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
KNN | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
| |||||
Specificity | LDA | 0.002 | 0.199 | p < 0.001 | p < 0.001 |
SVM | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
KNN | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
| |||||
Precision | LDA | 0.001 | 0.069 | p < 0.001 | p < 0.001 |
SVM | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
KNN | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
| |||||
F1 score | LDA | 0.002 | 0.198 | p < 0.001 | p < 0.001 |
SVM | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 | |
KNN | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 |