Fig. 3From: A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency departmentAggregated SHAP values of the ten extended Random Forest models in the DLCV. The ten Random Forest models trained in the outer loop were used to predict probabilities of the outer fold samples. The first 20 variables sorted on absolute SHAP values are shownBack to article page