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Performance metrics for CKD prediction models.
| Model | Accuracy | Precision | Recall | Sensitivity | Specificity | AUC |
|---|---|---|---|---|---|---|
| Ada Boost Classifier | 100% | 100% | 99.83% | 96.83% | 100% | 100% |
| Cat Boost | 98.33% | 100% | 95.83% | 95.83% | 100% | 99.80% |
| XGBoost | 96.67% | 100 % | 91.67% | 91.67% | 100% | 99.88% |
| Extra Trees Classifier | 96.67% | 100% | 91.67% | 91.67% | 100% | 99.74% |
| Random Forest Classifier | 95.83% | 100% | 89.58% | 89.58% | 100% | 100% |
| KNN | 65.83% | 56.14% | 66.67% | 66.67% | 65.28% | 73.96% |
