A Machine Learning Specialist has created a hyperparameter tuning job on an Amazon SageMaker notebook instance. The tuning job will use the built-in XGBoost algorithm to train a classification model. The ML Specialist wants to visualize the correlation of the eta , alpha , max_depth , and min_child_weight hyperparameters with the model’s performance at each iteration so she can reconfigure them to attain the best model version. In doing so, the time and cost it takes to train the model will decrease. Which visualization technique should the ML Specialist use?