Table 10 Summary of algorithms classification outputs for classifying the Chronic Kidney Disease patients with stage 4
From: Chronic kidney disease diagnosis using decision tree algorithms
| Â | J48 | Random Forest |
|---|---|---|
Total instances | 400 | 400 |
True Positive (TP) | 72 | 75 |
True Negative (TN) | 309 | 274 |
False Positive (FP) | 16 | 13 |
False Negative (FN) | 3 | 38 |
Accuracy | 95% | 87% |
Sensitivity | 96% | 66% |
Specificity | 95% | 95% |
Precision | 0.96 | 0.664 |
Recall | 0.82 | 0.852 |
F-Measure | 0.88 | 0.746 |
ROC Area | 0.95 | 0.938 |