Tiruneh Kebede Dubale

SMOTETomek-DNN: A Machine Learning Framework for Credit Risk Prediction with an Imbalanced Dataset

The experimental findings demonstrate that incorporating resampling techniques substantially improved the default detection performance and suggest that hybrid sampling integrated with advanced learning architectures can provide a reliable and practical solution for managing credit risk in imbalanced microfinance datas...