Open access
Aug 2026
An Enhancing Credit Card Fraud Detection through Data Preprocessing and SMOTE-Based Class Balancing: A Comparative Evaluation of Machine Learning Models
This study compares the performance of several supervised machine learning models for fraud detection, using a unified data preprocessing pipeline, and found that ensemble learning methods generally outperform single classifiers in both accuracy and minority-class recognition.
Nafiu Yahuza, Ahmad Baita Garko, Abubakar Atiku Muslim et al.
· Lead Sci Journal of Manageme... · 0 citations