Explainable Bad Check Risk Using Hybrid Machine Learning and Large Language Models in Natural Language
An explainable hybrid system model is proposed for detecting non-sufficient funds (NSF) check risks. Data leakage cleaning and feature engineering were applied to create a derived feature set. Multiple ensemble machine learning models were compared using stratified k-fold cross-validation, with LightGBM achieving the h...