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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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Hlavní autoři: Akhilesh Kumar Singh, Koushlendra Kumar Singh
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer Nature 2026-04-01
Edice:Human-Centric Intelligent Systems
Témata:
Employee attrition
HR analytics
K-prototypes clustering
CTGAN
Class imbalance handling
Stacking ensemble model
On-line přístup:https://doi.org/10.1007/s44230-026-00146-5
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