Enhancing Credit Scoring Models Interpretability: A Comparative Analysis of Traditional and Advanced Machine Learning Models

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Keywords	Credit Scoring, Model Interpretability, Machine Learning, SHAP, Risk Management
Thesis Advisor	van Dalen, Jan, Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/78974
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Feng, Hao. (2025). Enhancing Credit Scoring Models Interpretability: A Comparative Analysis of Traditional and Advanced Machine Learning Models. In Business Information Management.http://hdl.handle.net/2105/78974

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