Research Article
Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms
Table 5
Different classification algorithms’ performance metrics after applying the rule-based approach.
| Classification techniques | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
| KNN | 87.66 | 87.78 | 87.66 | 87.15 | DT | 91.56 | 91.52 | 91.56 | 91.53 | SVM | 71.39 | 68.85 | 70.78 | 69.27 | RF | 90.91 | 88.48 | 88.31 | 88.38 | NB | 77.27 | 76.38 | 77.27 | 76.53 | HBGB | 92.21 | 92.33 | 92.21 | 92.25 |
|
|