Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights

Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights

This study proposes an innovative solution for credit card fraud detection, utilizing a stacking ensemble of machine learning classifiers enhanced with sophisticated data resampling techniques. The model demonstrates exceptional performance, achieving an F1-score of 0.92, precision of 0.95, recall o...

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Bibliographic Details
Main Authors: Nurafni Damanik, Chuan-Ming Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
K-MEANS
SMOTEENN
credit card
fraud detection
stacking ensemble
imbalance technique
Online Access:https://ieeexplore.ieee.org/document/10836682/
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https://ieeexplore.ieee.org/document/10836682/

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