A machine learning‐based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method.

Today's article comes from the Journal of Big Data. The authors are Emmanuel et al., from the University of Johannesburg. As their title suggests, they've developed a novel way to assess the credit-worthiness of borrowers more accurately. Let's take a took at their method.

DOI: 10.1186/s40537-024-00882-0