Rejection classification

Rejection classification is a process used in various fields, like finance or machine learning, to categorize reasons why something is denied or rejected. For example, in banking, it helps identify why a loan was denied, such as insufficient income or credit issues. In machine learning, it analyzes data to determine whether to accept or reject a case based on certain criteria. This process allows organizations to better understand rejection reasons, improve decision-making, and refine their systems for fairer and more accurate outcomes.