Table 9 Summary of algorithms classification outputs for classifying the Chronic Kidney Disease patients with stage 3B.
From: Chronic kidney disease diagnosis using decision tree algorithms
| Â | J48 | Random Forest |
|---|---|---|
Total instances | 400 | 400 |
True Positive (TP) | 50 | 42 |
True Negative (TN) | 327 | 331 |
False Positive (FP) | 8 | 16 |
False Negative (FN) | 15 | 11 |
Accuracy | 94% | 93% |
Sensitivity | 77% | 79% |
Specificity | 98% | 95% |
Precision | 0.78 | 0.792 |
Recall | 0.86 | 0.724 |
F-Measure | 0.81 | 0.757 |
ROC Area | 0.96 | 0.973 |