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Volume: 11 Issue 01 January 2025
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Forecasting Employee Turnover
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Author(s):
P Sruthi | Naeemali Ahamed | Pavin shaji | Ashid A P | Prof. S Kavitha
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Keywords:
Machine Learning, Employee Turnover, Random Forest, Logistic Regression, Attrition Rate
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Abstract:
Supervised Machine Learning Methods Are Described, Demonstrated And Assessed For The Prediction Of Employee Turnover Within An Organization. In Our Project, Numerical Experiments For Real And Simulated Human Resources Datasets Representing Organizations O
Other Details
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Paper id:
IJSARTV9I460404
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Published in:
Volume: 9 Issue: 4 April 2023
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Publication Date:
2023-04-10
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