Research Article
[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features
Table 1
Result comparison with existing methods with the similar dataset used in this study.
| Study | Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC (%) | Precision (%) | F-measure (%) |
| [14] | RF | 98.83 | 98.04 | 1.00 | 98.9 | — | — |
| [13] | SVM | 99.30 | — | — | — | — | — |
| [8] | LR | 99.24 | 100 | — | — | 98.82 | — |
| [17] | XGB | 99.00 | 98.8 | 99.33 | 99.9 | 99.5 | 99.1 |
| [11] | MLP | 98.10 | 98.97 | 96.77 | 99.50 | 97.97 | 98.4 | LR | 98.10 | 98.97 | 96.77 | 99.4 | 97.97 | 98.4 |
| Our method | KNN | 99.50 | 99.20 | 98.70 | 99.60 | 100 | 99.60 |
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