Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms

Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms

Employee turnover poses a significant challenge to organizations, leading to increased costs and disruptions in workforce stability. In this study, we propose a novel hybrid model for employee turnover prediction that integrates Genetic Algorithms (GA) for feature selection with LightGBM for classif...

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Bibliographic Details
Main Authors: Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Open Innovation: Technology, Market and Complexity
Subjects:
Employee Turnover
Machine Learning
LightGBM
Genetic Algorithms
Feature Selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2199853125000927
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