IEEE

Predicting Employee Attrition Through Engagement Metrics and eNPS: A Data-Driven Approach

Abstract: This study investigates employee attrition using a survey-based predictive framework that incorporates employee sentiment, engagement metrics, and Employee Net Promoter Score (eNPS).
IEEE

Predicting Employee Attrition Using Machine Learning Approaches

Abstract: Employee attrition is a costly problem for organizations, leading to loss of institutional knowledge, reduced productivity, and increased recruitment expenses. Machine learning offers a ...