Then we train the XGBoost model with XGBRegressor and make a prediction with the fit method. Finally, we use MAE (mean absolute error) to determine the accuracy of our predictions. For a lag of 10 ...

We used three sets of publicly available survival data consisting of patients with colon, breast, or pan cancer and compared the performance of CoxPH with the state-of-the-art ML model, XGBoost ...