Table 11. Performance results attained on fused features using information gain.
Classifiers | Precision (s%) | Recall (%) | F-Measure (%) | Accuracy (%) |
---|---|---|---|---|
SVM | 0.937 | 0.933 | 0.932 | 0.932 |
LR | 0.940 | 0.938 | 0.938 | 0.937 |
KNN | 0.917 | 0.917 | 0.917 | 0.916 |
DT | 0.936 | 0.935 | 0.934 | 0.935 |
RF | 0.944 | 0.943 | 0.943 | 0.943 |