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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Egile Nagusiak:	Akhilesh Kumar Singh, Koushlendra Kumar Singh
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Springer Nature 2026-04-01
Saila:	Human-Centric Intelligent Systems
Gaiak:	Employee attrition HR analytics K-prototypes clustering CTGAN Class imbalance handling Stacking ensemble model
Sarrera elektronikoa:	https://doi.org/10.1007/s44230-026-00146-5
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