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Presentation of the results of the screening of important predictor variables. (A-C) Ridge regressor, XGBoost classifier, and random forest regressor were used to analyze the variable importance ranking. (D) The top 15 predictive factors were selected separately, and seven commonly important predictive factors were identified via intersections in Wayne’s plots. XGBoost, extreme gradient boosting.
