Table 15 Classification results for challenge ISBI 2016 & ISBI 2017 dataset
Method | Performance measures | Â | Â | Â | |||
|---|---|---|---|---|---|---|---|
| Â | Sensitivity (%) | Precision (%) | Specificity (%) | FNR (%) | FPR | Accuracy (%) | AUC |
DT | 87.5 | 88.0 | 86.0 | 12.4 | 0.125 | 87.6 | 0.86 |
QDA | 80.0 | 80.0 | 79.0 | 20.0 | 0.200 | 80.0 | 0.86 |
QSVM | 92.5 | 92.5 | 95.0 | 7.4 | 0.075 | 92.6 | 0.95 |
LR | 92.0 | 91.5 | 95.0 | 8.2 | 0.08 | 91.8 | 0.95 |
NB | 92.0 | 92.5 | 97.0 | 8.2 | 0.08 | 91.8 | 0.93 |
W-KNN | 88.5 | 88.5 | 91.0 | 11.6 | 0.115 | 88.4 | 0.88 |
EBT | 92.0 | 92.0 | 97.0 | 8.3 | 0.08 | 91.7 | 0.95 |
ESDA | 89.5 | 89.5 | 91.5 | 10.4 | 0.105 | 89.6 | 0.94 |
Proposed | 93.0 | 93.5 | 97.0 | 6.8 | 0.07 | 93.2 | 0.96 |