Table 3.
Evaluating the algorithms in the second modelling stage arranged by the accuracy of the test data
| Row | ML algorithms | %Accuracy | %Sensitivity | %Specificity | %AUC |
|---|---|---|---|---|---|
| 1 | QUEST Tree | 95.55 | 90.48 | 100.00 | 95.20 |
| 2 | C&R Tree | 95.55 | 90.48 | 100.00 | 95.20 |
| 3 | RBF-ANNs | 95.45 | 90.00 | 100.00 | 91.50 |
| 4 | SVM | 93.33 | 90.48 | 95.83 | 95.80 |
| 5 | MLP-ANNs | 90.90 | 90.00 | 91.67 | 91.50 |