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. 2023 Jan 9;9:930541. doi: 10.3389/fmed.2022.930541

FIGURE 4.

FIGURE 4

Contributions of explanatory variables to the XGBoost algorithm. The “Gain” means the relative contribution of the corresponding feature to the model calculated by taking the contribution of each feature to each tree in the model. The high value of this metric compared to other characteristics means that it is more important for generating predictions. Therefore, a larger value indicates that the variable is more important; ACR outcomes (A) and MCR outcomes (B).