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I would like to know if there is a method to compute global feature importance in R package of XGBoost using SHAP values instead of GAIN like Python package of SHAP. I mean, in XGBoost for Python there is a function to compute SHAP values at global level making the mean absolute of the SHAP value for each feature. JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

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You can do: shap_contrib <- predict(model,newdata,predcontrib=T) in order to get the SHAP values directly from XGBoost. Once you get that, it's just a matter of doing: mean_shap <- colMeans(abs(shap_contrib))

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