Research Article
Intelligent Systems Developed for the Early Detection of Chronic Kidney Disease
Table 8
The performance gained from generalized feedforward neural network models.
| | GFNN | Model FA | Model FB | | Pure GFNN | Training | Test | Training | Test |
| | Accuracy of classification | 100% | 86.63% | 100% | 86.63% | | Sensitivity | 100% | 82.35% | 100% | 82.35% | | Specificity | 100% | 90.91% | 100% | 90.91% |
| | GFNN + GA | Test | Test |
| | Accuracy of classification | 91.09% | 78.39% | | Sensitivity | 88.24% | 76.47% | | Specificity | 93.94% | 80.30% |
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