Fig. 2From: Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)(a) variable importance computed from Random Forest algorithm, denoted by mean decrease accuracy; (b) variable importance computed from Random Ferns, denoted by mean score loss; (c) variable importance computed from XGBoost, denoted by relative importanceBack to article page