Figure shows the results of partitioning all data into five folds using stratified k-folds. The distributions of the partitioned data (Figure ) almost resembled each other and the original dataset shown in Figure . This indicates that cross-validation can divide the dataset into five partitions while retaining the data bias. The Receiver Operating Characteristic (ROC) curve calculated using the OOF in the second model is shown in Figure . The accuracy, F1 Score, and Area Under the ROC Curve (AUC) are summarized in Table . The accuracy, F1 score, and AUC were 0.858, 0.854, and 0.929, respectively. These results indicate that a second model with good classification performance was constructed.