Table 3.
Result analysis of AWOA-DL with existing techniques on Australian dataset
| Methods | Precision | Recall | Accuracy | F-score | Kappa |
|---|---|---|---|---|---|
| AWOA-DL | 0.9765 | 0.9482 | 0.9689 | 0.9521 | 0.9364 |
| TLBO-DL | 0.9620 | 0.9029 | 0.9405 | 0.9315 | 0.8791 |
| DNN | 0.9243 | 0.8762 | 0.9134 | 0.8996 | 0.8230 |
| LR | 0.6579 | 0.8523 | 0.7971 | 0.7426 | 0.7024 |
| RBF Network | 0.8631 | 0.8153 | 0.8521 | 0.8386 | 0.5797 |