This report offers a comprehensive evaluation of the XGBoost model used for CRSS prediction, detailing the model's performance metrics, and hyperparameter importance. We analyze R2, RMSE, and MAPE to assess model accuracy and fit. Hyperparameters such as colsample_bytree, learning_rate, max_depth, n_estimators, and subsample are evaluated for their impact on MAPE, providing insights into model sensitivity.