Fig. 3From: Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics StudyClassification decision tree, with probabilities of success for metabolic syndrome shown in each node; A combination of BMI, Physical activity, and age is an accurate predictor for the MetSBack to article page