From: A data-driven approach to predicting diabetes and cardiovascular disease with machine learning
Lab | Year & Case | Model | AUC | Precision | Recall | F1 |
---|---|---|---|---|---|---|
No lab | Â | Logistic Reg. | 0.827 | 0.75 | 0.75 | 0.75 |
 | 1999-2014 | SVM | 0.849 | 0.77 | 0.77 | 0.77 |
 | Diab. Case I | Random Forest | 0.855 | 0.78 | 0.78 | 0.78 |
 |  | XGBoost | 0.862 | 0.78 | 0.78 | 0.78 |
 |  | Ensemble | 0.859 | 0.78 | 0.78 | 0.78 |
 |  | Logistic Reg. | 0.732 | 0.67 | 0.67 | 0.67 |
 | 1999-2014 | SVM | 0.734 | 0.68 | 0.68 | 0.68 |
 | Diab. Case II | Random Forest | 0.731 | 0.67 | 0.67 | 0.67 |
 |  | XGBoost | 0.734 | 0.67 | 0.67 | 0.67 |
 |  | Ensemble | 0.737 | 0.68 | 0.68 | 0.68 |
 |  | Logistic Reg. | 0.800 | 0.72 | 0.72 | 0.72 |
 | 2003-2014 | SVM | 0.822 | 0.75 | 0.75 | 0.75 |
 | Diab. Case I | Random Forest | 0.841 | 0.77 | 0.76 | 0.76 |
 |  | XGBoost | 0.837 | 0.75 | 0.75 | 0.75 |
 |  | Ensemble | 0.834 | 0.75 | 0.75 | 0.75 |
 |  | Logistic Reg. | 0.718 | 0.66 | 0.66 | 0.66 |
 | 2003-2014 | SVM | 0.716 | 0.66 | 0.66 | 0.66 |
 | Diab. Case II | Random Forest | 0.719 | 0.67 | 0.67 | 0.66 |
 |  | XGBoost | 0.725 | 0.67 | 0.67 | 0.67 |
 |  | Ensemble | 0.725 | 0.66 | 0.66 | 0.66 |
With lab | Â | Logistic Reg. | 0.866 | 0.79 | 0.79 | 0.79 |
 | 1999-2014 | SVM | 0.887 | 0.81 | 0.81 | 0.81 |
 | Diab. Case I | Random Forest | 0.937 | 0.86 | 0.86 | 0.86 |
 |  | XGBoost | 0.957 | 0.89 | 0.89 | 0.89 |
 |  | Ensemble | 0.944 | 0.87 | 0.87 | 0.87 |
 |  | Logistic Reg. | 0.724 | 0.67 | 0.67 | 0.67 |
 | 1999-2014 | SVM | 0.737 | 0.68 | 0.68 | 0.68 |
 | Diab. Case II | Random Forest | 0.738 | 0.68 | 0.68 | 0.68 |
 |  | XGBoost | 0.802 | 0.74 | 0.74 | 0.74 |
 |  | Ensemble | 0.783 | 0.71 | 0.71 | 0.71 |
 |  | Logistic Reg. | 0.877 | 0.80 | 0.80 | 0.80 |
 | 2003-2014 | SVM | 0.882 | 0.81 | 0.80 | 0.80 |
 | Diab. Case I | Random Forest | 0.939 | 0.86 | 0.86 | 0.86 |
 |  | XGBoost | 0.962 | 0.89 | 0.89 | 0.89 |
 |  | Ensemble | 0.948 | 0.88 | 0.88 | 0.88 |
 |  | Logistic Reg. | 0.738 | 0.68 | 0.68 | 0.68 |
 | 2003-2014 | SVM | 0.737 | 0.68 | 0.68 | 0.68 |
 | Diab. Case II | Random Forest | 0.740 | 0.68 | 0.68 | 0.67 |
 |  | XGBoost | 0.834 | 0.75 | 0.75 | 0.75 |
 |  | Ensemble | 0.798 | 0.72 | 0.72 | 0.72 |