Table 2.
Prediction results of proposed heterogeneous method
| Method | Selected Performance Measures | |||||
|---|---|---|---|---|---|---|
| Sensitivity (%) | Specificity (%) | Precision (%) | FPR | AUC | Accuracy (%) | |
| Proposed | 95.0 | 94.0 | 95.5 | 0.05 | 0.98 | 95.1 |
| Fine Tree | 93.0 | 94.0 | 93.5 | 0.07 | 0.94 | 92.8 |
| LDA | 80.0 | 91.0 | 81.5 | 0.20 | 0.80 | 80.0 |
| Naïve Bayes | 91.0 | 93.0 | 91.0 | 0.09 | 0.91 | 91.0 |
| LSVM | 94.5 | 95.0 | 94.5 | 0.055 | 0.98 | 94.6 |
| CSVM | 93.5 | 95.0 | 93.5 | 0.065 | 0.98 | 93.5 |
| Fine GSVM | 90.5 | 87.0 | 90.5 | 0.095 | 0.94 | 90.6 |
| FKNN | 92.0 | 90.0 | 92.0 | 0.08 | 0.92 | 92.0 |
| CKNN | 91.0 | 92.0 | 91.5 | 0.08 | 0.97 | 92.3 |
| WKNN | 90.5 | 92.0 | 91.5 | 0.09 | 0.97 | 92.0 |
| EBT | 92.0 | 92.0 | 92.0 | 0.08 | 0.98 | 92.0 |
| ESDA | 80.5 | 92.0 | 82.0 | 0.195 | 0.90 | 80.4 |