In the study, hyperparameters were optimized using Bayesian Optimization through 1000 trials. After analyzing the results, it was found that the highest average F1-score across all trials in the cross-validation was 0.854. Therefore, the hyperparameters associated with this trial were selected to be used for the XGBoost model. The results of this step were shown in S5 Table (Supporting informaiton).