PREDICTING EMPLOYEE ATTRITION RATE USING MACHINE LEARNING

Abstract

Employees are an organization's most valuable resource. In any case, if they left their employment
unexpectedly, it could result in a significant financial loss for any company. Because new hiring costs money
and time, as well as requiring newly employed personnel to put in some effort to make the company productive.
Following that, we aim to construct a model that would predict employee attrition rate based on HR analytics
dataset in this research. To determine the reasons for employee attrition and reasons for leaving the organisation,
a study called "Predicting Employee Attrition and Reasons for Leaving the Organization" was conducted. Why
do the best and most experienced people leave the organisation, and how can you predict which valued
personnel are likely to leave along these lines in order to figure out where the company is falling behind. This
concept can be used by firms' Human Resource departments to develop effective strategies for retaining key
executives before they start looking for new jobs, such as by increasing their remuneration.