Kredietscoresysteem bouwen met logistische regressie: van modelcoëfficiënten naar praktische risicoklassen

Financial institutions can convert logistic regression models into practical credit scoring systems by transforming model coefficients into standardized 0–1000 point scales. This approach enables lenders to classify borrowers into risk categories while maintaining model stability and interpretability for regulatory compliance.