Publication Date: 2021/12/01
Abstract: The biggest asset that a company has is not his business or the place or any other thing, but it’s the employee. The employees pave the path for the success of the company and all the administration that is needed to run the company. But due to many reasons employee are not happy with the work or the company they work in and this tends or results for them to leave the company or finding a new company. It is one of the most important difficulties that company owners confront when their organizations lose their most brilliant personnel. A good employee is always a valuable asset to the company, and their departure can result in a variety of issues, including financial losses, poor overall performance, and the loss of accumulated expertise. Furthermore, compared to recruiting current employees, employing new personnel is significantly more expensive, stressful, and time-consuming. Hence, the authors propose a system to predict the future of an employee in a company taking in consideration various factors and using the algorithm to get the prediction with a great accuracy
Keywords: Prediction Algorithm, Machine Learning, Employee Future Prediction, Gradient Boosting, Attrition System.
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21NOV481.pdf
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