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. 2023 Jul 21;11(14):2080. doi: 10.3390/healthcare11142080

Figure 2.

Figure 2

This figure is a SHAP analysis representation of the best-performing Random Forest model, with the use of balance weights (class_weight = balanced_subsample) showing the influence of the features on the total model, and thus on the target variable, which is here total PA ≥ 600 MET·min/week. The SHAP value shows the positive or negative impact of each feature on the model output (here predicting total PA ≥ 600 MET·min/week). The feature value uses colors to represent the value of each feature, with red being a higher value, and blue being a lower one.