An Explainable XGBoost Framework for Detecting Fraudulent Financial Transactions
Oluwatosin Lawal, Alumona Paschal, Awele Okolie, Callistus Obunadike, Mark Onons Ikhifa & Samson Ikechukwu Edozie · Journal of Scientific Research and Reports · 2025
Detecting financial fraud is still one of the most urgent concerns in digital finance, thanks to the highly imbalanced and even changing nature of transactions. The new research introduces an explainable machine learning framework that leverages the eXtreme Gradient Boosting (XGB...
Open access
Research Article
10.9734/jsrr/2025/v31i123769