A Comparative Study of Machine Learning Models for Micro-Segment Credit Risk Prediction

Karamanli, Hakan; Memiş, Emir Çetin; Drias, Yassine; Çakar, Tuna; Ertuǧrul, Seyit; Son-Turan, Semen; Kaya, Kerem

doi:10.1109/ISDFS69419.2026.11459062

A Comparative Study of Machine Learning Models for Micro-Segment Credit Risk Prediction

Date

2026

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Institute of Electrical and Electronics Engineers Inc.

Keywords

Feature Engineering, Imbalanced Learning, Gradient Boosting, Micro-Segment Credit Risk, Inflation Adjustment, Macro F1-Score

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Proceedings of the International Symposium on Digital Forensics and Security, ISDFS -- 14th International Symposium on Digital Forensics and Security, ISDFS 2026 -- 19 March 2026 through 20 March 2026 -- Boston -- 222184

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2026

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https://hdl.handle.net/20.500.11779/3814
https://doi.org/10.1109/ISDFS69419.2026.11459062

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