Metrics | Tri classifier + SSU-BES | Proposed + Conventional entropy | Proposed + Conventional DBN | No optimization |
---|---|---|---|---|
FDR | 0.050877 | 0.1958 | 0.41348 | 0.34395 |
Sensitivity | 0.88399 | 0.37217 | 0.84466 | 0.33333 |
FOR | 0.043413 | 0.084592 | 0.55589 | 0.16314 |
Accuracy | 0.92188 | 0.65312 | 0.6375 | 0.59375 |
MCC | 0.84484 | 0.34498 | 0.31351 | 0.19765 |
FPR | 0.043413 | 0.084592 | 0.55589 | 0.16314 |
Specificity | 0.95659 | 0.91541 | 0.44411 | 0.83686 |
F1-Score | 0.9154 | 0.50885 | 0.69231 | 0.44206 |
NPV | 0.95659 | 0.91541 | 0.44411 | 0.83686 |
Precision | 0.94912 | 0.8042 | 0.58652 | 0.65605 |
FNR | 0.11601 | 0.62783 | 0.15534 | 0.66667 |