Research Article
Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
Table 7
Results of diagnosing CKD using four machine learning algorithms.
| | Classifiers | SVM | KNN | Decision tree | Random forest |
| | Accuracy % | 96.67 | 98.33 | 99.17 | 100.00 | | Precision % | 92.00 | 100.00 | 100.00 | 100.00 | | Recall % | 94.74 | 97.37 | 98.68 | 100.00 | | F1-score% | 97.30 | 98.67 | 99.34 | 100.00 |
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