Table 7 Accuracy results for diabetes_prediction_dataset.Csv (Kaggle).
From: Efficient diagnosis of diabetes mellitus using an improved ensemble method
Model | Precision | Recall | F1-Score | Accuracy |
|---|---|---|---|---|
Random forest | 0.97 | 1.00 | 0.98 | 0.97 |
J48 (C4.5) | 0.98 | 0.97 | 0.97 | 0.95 |
CART | 0.98 | 0.97 | 0.97 | 0.95 |
Decision stump | 0.95 | 1.00 | 0.98 | 0.95 |
XGBoost | 0.97 | 1.00 | 0.98 | 0.97 |
AdaBoost | 0.97 | 1.00 | 0.98 | 0.97 |
Gradient boosting | 0.97 | 1.00 | 0.99 | 0.97 |
Proposed model | 0.97 | 1.00 | 0.97 | 0.98 |
