• Ajay Yadav
• Sushma Ghose

The process of encouraging employees to stay with the organisation for as long as possible in order to get the most benefits to the business is known as employee retention. Employers have a responsibility to on-board their top talent. The majority of employees believe their value exceeds what they are paid. obviously there is a difference in perceptions of fair pay across individuals and organisations. Turnover may occur when there is too much of a difference and another opportunity presents itself. Thus, for businesses to succeed in the business world, it is vital to recruit and retain staff. This paper sheds light on system, that makes use of machine learning models such KNN, SVM, Regression and random forest to predict attrition that can help companies to retain the employees. Different employee-related features like Satisfaction Level, projects, Work-Life Balance, Workload, Work Environment and Compensation and Benefits are used that can be helpful to retain the employees. Furthermore, a comparison is done amongst machine learning algorithms, to discover the most accurate strategy for dealing with staff turnover

Employee Attrition Prediction, Machine learning Models, SVM, KNN, Random Forest, employee-related features, Employee Retention

"Employee Attrition Prediction in an Organization Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g782-g788, April-2024, Available :http://www.jetir.org/papers/JETIR2404700.pdf

"Employee Attrition Prediction in an Organization Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg782-g788, April-2024, Available at : http://www.jetir.org/papers/JETIR2404700.pdf