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Employee Attrition refers to the natural process wherein workers depart from the workforce but are not quickly replaced. This can occur if an employee leaves for personal reasons, professional advancement, better opportunities, geographic restrictions, a hostile work environment, or a loss of faith in the market worth of the organization. When a financial crisis or recession hits, layoffs may occur, or staff may not have the necessary abilities. A key issue that many firms deal with is employee churn, as valued and seasoned workers leave the company on a regular basis. Popular Machine Learning (ML) models have also been analyzed at the different number of components after performing the Synthetic Minority Oversampling Technique (SMOTE) on the training data. Random Forest achieved the highest accuracy of 81.97% as compared to other machine learning models.

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Employee Attrition Prediction Using SMOTE Technique

  • 会议论文

  • 发表日期：

    2025年

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  • Kriti Singhal,
  • Kanupriya,
  • Navpreet

摘要

Employee Attrition refers to the natural process wherein workers depart from the workforce but are not quickly replaced. This can occur if an employee leaves for personal reasons, professional advancement, better opportunities, geographic restrictions, a hostile work environment, or a loss of faith in the market worth of the organization. When a financial crisis or recession hits, layoffs may occur, or staff may not have the necessary abilities. A key issue that many firms deal with is employee churn, as valued and seasoned workers leave the company on a regular basis. Popular Machine Learning (ML) models have also been analyzed at the different number of components after performing the Synthetic Minority Oversampling Technique (SMOTE) on the training data. Random Forest achieved the highest accuracy of 81.97% as compared to other machine learning models.