Table 2.
The performance of the ANN and FFNN algorithms on the ALL_IDB1 and ALL_IDB2 datasets.
| Dataset | ALL_IDB1 | ALL_IDB1 | ||||
|---|---|---|---|---|---|---|
| Classifiers | ANN | FFNN | SVM | ANN | FFNN | SVM |
| Accuracy % | 94.4 | 100 | 90.91 | 100 | 100 | 98.11 |
| Precision % | 100 | 100 | 100 | 100 | 100 | 95.83 |
| Sensitivity % | 91.55 | 100 | 84.62 | 100 | 100 | 100 |
| Specificity % | 91.55 | 100 | 100 | 100 | 100 | 96.67 |
| AUC % | 94.52 | 100 | 91.99 | 99.21 | 100 | 97.86 |