Table 3.
Results obtained from multilayer perceptron algorithm.
| MLPs | % of Training Data | Accuracy | Sensitivity | Specificity | PPV | NPV | MCC | Youden’s Index |
|---|---|---|---|---|---|---|---|---|
| MLP LM | 10 | 0.498 | 0.111 | 0.847 | 0.394 | 0.514 | 0.020 | 0.019 |
| 20 | 0.530 | 0.052 | 0.962 | 0.551 | 0.529 | 0.010 | 0.009 | |
| 30 | 0.531 | 0.190 | 0.825 | 0.482 | 0.542 | 0.016 | 0.015 | |
| 40 | 0.532 | 0.076 | 0.936 | 0.511 | 0.534 | 0.031 | 0.030 | |
| MLP BR | 10 | 0.532 | 0.035 | 0.953 | 0.428 | 0.532 | 0.081 | 0.081 |
| 20 | 0.533 | 0.032 | 0.934 | 0.462 | 0.513 | 0.088 | 0.088 | |
| 30 | 0.538 | 0.037 | 0.957 | 0.414 | 0.527 | 0.082 | 0.082 | |
| 40 | 0.538 | 0.038 | 0.951 | 0.425 | 0.538 | 0.078 | 0.078 |