Evaluating Employee Attrition And Its Factors Using Machine Learning Approaches

Employees act as a key to the success of an organization; they are the foundation and pillars for any company. In fact, this also works hand in hand as the companies or organizations they work in, provide them with health insurance, pay, social security, perks like paid vacation and bonuses, awards, etc. But in this current world scenario there are a lot of employees resigning which could deeply affect the company or organization. Employee resignation can destroy a company's reputation, disrupt the workflow and even lower the morale of other employees in the organization. Employee resignation is actually one of the biggest problems faced by many companies these days. But why are employees resigning? What is the driving factor behind this problem? Is it even proved if it's the employee's fault? This report evaluates employee attrition and its factors by taking a company which provided their employee information that contains data about who has resigned from the company and who are still working. Data preprocessing techniques are performed so that the data can be fit for predictions and analysis. Some visualizations are also provided so as to get great insights about the factors that influence employee attrition. Some more predictive algorithms have been applied whose results can be used by the company so that they can mitigate employee attrition. The prediction models that were applied in this analysis are K-Nearest Neighbours (KNN), Support Vector Machine (SVM), decision tree, decision tree C5.0 and random forest. By applying all these algorithms on the dataset, it helped us to analyze and find out which algorithm will give the best accuracy and accordingly use that model for future predictions on whether a particular employee will resign or not. This research will help companies in improving their retention rate of the employees and thereby minimizing employee attrition. If this paper is used, it can help an organization to improve profitability while aligning its goals with those individuals who work in their organization.