A Quantitative Analysis of Default Risk Using Machine Learning and SHAP Value Interpretation

Published Online: Jul 03, 2024

Page range: 233 - 245

DOI: https://doi.org/10.2478/picbe-2024-0020

Keywords

Machine learning, Model interpretability, Payment Default Prediction, Clustering, Propensity to pay, Bad debt, Analytics

© 2024 Coralia Tanasuica (Zotic) et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.