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Variable importance of predictors in the ML models. The variable importance is a scaled measure to have a maximum value of 100. The predictors with variable importance of the top 20 are shown. (A) Conditional inference random forest. (B) Xgboost. (C) Random forest. (D) Stochastic gradient boosting.
