Skip to main content
. 2022 Jul 31;2022:1858300. doi: 10.1155/2022/1858300

Table 4.

Results of oversampling method under the XGBoost model.

Dataset AUC/% Recall rate/% Precision/% F1-score
Random oversampling 97.78 90.59 31.51 46.76
SMOTE 97.46 89.11 30.68 45.64
SMOTE&Tomek-link 97.79 91.03 31.66 46.98
DATAIMBALANCED 85.38 73.99 43.00 54.39