Employee turnover is a problem for many organizations where valuable and experienced employees leave the organization consistently. The primary objective of this exploration work is to foster a model that predicts whether an employee will leave the organization. A tremendous measure of employee-related information is kept up which is valuable for anticipating the event of future wearing down. To get quick results for such employee-related attrition, we proposed a model that involves Machine Learning. In this paper, we fostered a model utilizing Decision Tree, K-Nearest Neighbor, Support Vector Machine, and Light Gradient Boosting Machine calculations and we calculate the accuracy of these machine learning algorithms for predicting employee attrition using the IBM dataset for training and testing. The given system enhances HRM and reduces the cost for the company. This project gives us significant knowledge that can help us predict employee attrition.
₹10000 (INR)
NON IEEE -2022