Predicting Employee Turnover Using Machine Learning Techniques
Background: Employee turnover is a persistent issue in human resource management, leading to significant costs for organizations. This study aims to identify the most effective machine learning model for predicting employee attrition, thereby providing organizations with a reliable tool to anticipat...
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| Main Authors: | Adil Benabou, Fatima Touhami, My Abdelouahed Sabri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Prague University of Economics and Business
2025-01-01
|
| Series: | Acta Informatica Pragensia |
| Subjects: | |
| Online Access: | https://aip.vse.cz/artkey/aip-202501-0006_predicting-employee-turnover-using-machine-learning-techniques.php |
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