학습 데이터와 검증 데이터를 서로 다르게 구성하여 5번 반복하였으며, 각각의 분류정확도와 AUC의 평균을 구하였다.
The training and validation data were configured differently and repeated five times, and the average of each classification accuracy and AUC was obtained.