Clifford I. Senit

Machine Learning Integration in Feature Selection Using Sequential Forward Floating Selection (SFFS) for Improved Credit Scoring

Credit risk evaluation serves as the backbone of any financial decision, especially in government funding programs like DOST SET-UP. However, conventional credit assessment methods often face problems such as redundant features, low prediction accuracy, and increased computational complexity, which may result in subopt...