Fig. 3: SHAP plots illustrating the feature importance and impact on XGBoost model output for different datasets. | npj Digital Medicine

Fig. 3: SHAP plots illustrating the feature importance and impact on XGBoost model output for different datasets.

From: Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts

Fig. 3

a EMA-only, b Passive sensing-only, and c Feature-complete (combining EMA and passive sensing). The left panels show the mean absolute SHAP values, ranking features by their overall contribution to the model, while the right panels show the distribution of SHAP values for individual feature impacts associated with overeating (red for high feature values and blue for low feature values).

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