Table 8 Summary of algorithms classification outputs for classifying the Chronic Kidney Disease patients with stage 3A
From: Chronic kidney disease diagnosis using decision tree algorithms
| Â | J48 | Random Forest |
|---|---|---|
Total instances | 400 | 400 |
True Positive (TP) | 12 | 9 |
True Negative (TN) | 381 | 381 |
False Positive (FP) | 4 | 7 |
False Negative (FN) | 3 | 3 |
Accuracy | 98% | 98% |
Sensitivity | 80% | 75% |
Specificity | 99% | 98% |
Precision | 0.80 | 0.75 |
Recall | 0.75 | 0.56 |
F-Measure | 0.77 | 0.64 |
ROC Area | 0.92 | 0.99 |