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• Published Subscription 8 Oct 2024

  Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management

  By Anjali Sharma, Prabuddha Tamhane, Priyanshi Golatkar, Shreyy Sharma, Vaidehi Shah, Aditya Kasar

  Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article →