This involves splitting the dataset into a test set and a training set. Then we train the XGBoost model with XGBRegressor and make a prediction with the fit method. Finally, we use MAE (mean ...

Open-source libraries in Python and R were used in the analyses ... Subsequent Kaplan-Meier plots supported the finding of the XGBoost model. The computation of SHapley Additive exPlanation values, ...