Table 12 Influence of SMOTE over the classifiers.

From: Mitigating class imbalance in churn prediction with ensemble methods and SMOTE

Model

Accuracy

Balanced Accuracy

Weighted Precision

Weighted Recall

Weighted Recall

LR

0.811

0.593

0.669

0.373

0.442

LR + SMOTE

0.801

0.650

0.788

0.801

0.793

GB

0.866

0.723

0.813

0.577

0.663

GB + SMOTE

0.850

0.758

0.849

0.850

0.849

XGB

0.858

0.724

0.763

0.589

0.657

XGB + SMOTE

0.855

0.755

0.850

0.855

0.755

LGBM

0.860

0.726

0.774

0.590

0.662

LGBM + SMOTE

0.804

0.755

0.646

0.804

0.716

ADA

0.859

0.717

0.781

0.572

0.650

ADA + SMOTE

0.845

0.771

0.850

0.845

0.847