Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy

Figure 7

SHAP summary plot for the XGB model based on LASSO selection of features. XGB: extreme gradient boosting; RF: random forest; DT: decision tree. Each point on the summary plot is the Shapley value of the feature and the instance. The position on the -axis is determined by the feature, and the -axis is determined by the Shapley value determination. Colors indicate feature values from low to high. The features are arranged according to their importance. SHAP: Shapley additive explanations.