Intelligent Employee Retention System for Attrition Rate Analysis and Churn Prediction: An Ensemble Machine Learning and Multi-Criteria Decision-Making Approach
The paper aims to examine the factors that influence employee attrition rate using the employee records dataset from kaggle.com. It also aims to establish the predictive power of Deep Learning for employee churn prediction over ensemble machine learning techniques like Random Forest and Gradient Boo...
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Veröffentlicht in: | Journal of global information management 2021-11, Vol.29 (6), p.1-29 |
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Format: | Artikel |
Sprache: | eng |
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