Fig. 5
From: PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach
An overview of feature interpretations for selected 18 features over the population of training data, i.e., global explanations. (A) Waterfall plot for a prediction made by LightGBM. The features are sorted by the sum of SHAP values. (B) Dots show the distribution of the impacts that a feature has on the model output and indicate the density when piling up, with colors representing the feature value (red for high, blue for low)