Representative hyperparameters for XGboost tuned by Optuna.

<p>“eta” defines the learning rate; “round” defines the round number of boosting; “max_depth” defines the maximum depth of the hierarchy of each decision tree; “colsample_bytree” is the probability that each variable is adopted as the source of each decision tree.</p> <p>(DOCX)</p>