Richard Chafukira Phiri

An Ensemble Machine Learning Approach for Financial Fraud Detection in Banking Systems

Empirical evidence is provided that for fraud detection with well-engineered features in low-dimensional spaces, ensemble methods yield optimal results and the undersampling strategy proves effective for handling class imbalance while maintaining computational efficiency.