Fig. 3. Importance of each predictor in the random forest and gradient-boosted decision tree model.
A The Random forest model. B The Gradient-boosted decision tree model. The variable importance is a measure scaled to have a maximum value of 100. HbA1c hemoglobin A1c, TG triglycerides, LDL-C low-density lipoprotein cholesterol, HDL-C high-density lipoprotein cholesterol, AST aspartate aminotransferase, ALT alanine aminotransferase, GammaGTP gamma-glutamyl transpeptidase, ECG electrocardiogram.