Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques

TL;DR

This paper presents an AI-based ensemble classification and linear regression model that predicts employee attrition with over 91% accuracy, enabling proactive management actions to reduce turnover.

Contribution

It introduces a predictive model combining ensemble classification and linear regression to forecast employee attrition and its causes with high accuracy.

Findings

Model predicts employee attrition with over 91% accuracy.

Provides lead-time and reasons for attrition.

Helps managers take preventive actions.

Abstract

To predict the employee attrition beforehand and to enable management to take individualized preventive action. Using Ensemble classification modeling techniques and Linear Regression. Model could predict over 91% accurate employee prediction, lead-time in separation and individual reasons causing attrition. Prior intimation of employee attrition enables manager to take preventive actions to retain employee or to manage the business consequences of attrition. Once deployed this will model can help in downtrend Employee Attrition, will help manager to manage team more effectively. Model does not cover the natural calamities, and unforeseen events occurring at an individual level like accident, death etc.