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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Adwan A. Alanazi, Ghadda M. Yousif, Eiman Talal Alharby, Randa Alharbi, Jumanah Ahmed Darwish
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2026-06-01
Sarja:	Alexandria Engineering Journal
Aiheet:	GCC Banks Multiclass Classification Financial Ratios Machine Learning Feature Selection SHAP Explainability
Linkit:	http://www.sciencedirect.com/science/article/pii/S1110016826002929
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