Table 11 Accuracy and balanced accuracy scores of classifiers on balanced data.
From: Mitigating class imbalance in churn prediction with ensemble methods and SMOTE
Classifier | Accuracy | Balanced accuracy |
|---|---|---|
LR | 0.801 | 0.650 |
GB | 0.850 | 0.758 |
XGB | 0.855 | 0.755 |
CAT | 0.80 | 0.79 |
LGBM | 0.804 | 0.755 |
ADA | 0.845 | 0.771 |
