Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques
This addresses employee retention for management, but it is incremental as it applies existing AI methods to a specific HR domain.
The paper tackled employee attrition prediction using ensemble classification and linear regression, achieving over 91% accuracy in forecasting attrition, lead times, and individual reasons.
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.