Table 13 Classification results on ISBI 2016 dataset
Method | Sensitivity (%) | Precision (%) | Specificity (%) | FNR (%) | FPR | Accuracy (%) | AUC |
|---|---|---|---|---|---|---|---|
DT | 63.0 | 62.0 | 79.0 | 28.5 | 0.370 | 71.5 | 0.63 |
QDA | 68.0 | 65.5 | 79.0 | 26.4 | 0.320 | 73.6 | 0.74 |
Q-SVM | 68.5 | 78.5 | 95.0 | 17.7 | 0.315 | 82.3 | 0.81 |
LR | 67.0 | 65.0 | 79.0 | 26.1 | 0.330 | 72.9 | 0.69 |
NB | 74.5 | 77.0 | 91.5 | 17.1 | 0.255 | 82.9 | 0.84 |
W-KNN | 70.5 | 75.0 | 91.0 | 18.7 | 0.295 | 81.3 | 0.83 |
EBT | 66.0 | 80.0 | 97.0 | 18.3 | 0.034 | 81.7 | 0.79 |
ESDA | 72.5 | 55.0 | 90.0 | 18.5 | 0.275 | 81.5 | 0.83 |
Proposed | 75.5 | 78.0 | 93.0 | 16.8 | 0.270 | 83.2 | 0.85 |