Mathematical modeling and explainable machine learning for financial ratio–based classification of GCC banks

This study develops a mathematical modeling framework for the multiclass classification of Gulf Cooperation Council (GCC) banks into Islamic, mixed, and conventional categories using 26 financial ratios from 2013 to 2023. Within this mathematical modeling framework, five machine learning models—K-Ne...

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Autors principals:	Adwan A. Alanazi, Ghadda M. Yousif, Eiman Talal Alharby, Randa Alharbi, Jumanah Ahmed Darwish
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-06-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	GCC Banks Multiclass Classification Financial Ratios Machine Learning Feature Selection SHAP Explainability
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1110016826002929
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