Machine Learning for Employee Turnover Prediction

The main problem is that employees leaving the company has a big affect on its costs, efficiency, and effectiveness. By accurately estimating employee turnover, businesses can take proactive steps to keep good employees and lower the costs of hiring and teaching new ones. This research looks at how machine learning techniques can be used to predict staff turnover by looking at things like employee demographics, job satisfaction, success indicators, and engagement levels. Training and testing of the models were done with a dataset that included both old and new data from a big organisation. The results of this research are very helpful for human resource managers who are trying to fix problems with disengaged employees and make policies that keep employees. The research say that machine learning systems can accurately predict how many employees will leave a company.