Mitigating Class Imbalance in Human Resources Attrition Prediction using Hybrid Generative and Cluster-Driven Ensemble Modeling

Abstract Modern organizations continue to have a major problem with employee attrition, which has an impact on long-term strategic planning, operational effectiveness, and workforce stability. For data-driven human resource (HR) management, it is important to be able to accurately estimate attrition...

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Auteurs principaux:	Akhilesh Kumar Singh, Koushlendra Kumar Singh
Format:	Artigo
Langue:	Inglês
Publié:	Springer Nature 2026-04-01
Collection:	Human-Centric Intelligent Systems
Sujets:	Employee attrition HR analytics K-prototypes clustering CTGAN Class imbalance handling Stacking ensemble model
Accès en ligne:	https://doi.org/10.1007/s44230-026-00146-5
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