algo-hr-turnover
Employee Turnover Prediction
Overview
Turnover prediction uses classification models (logistic regression, random forest, XGBoost) to estimate the probability an employee will leave within a defined period (typically 6-12 months). Features include tenure, compensation, performance, promotion history, and engagement signals.
When to Use
Trigger conditions:
- Identifying employees at high risk of voluntary departure
- Quantifying which factors drive turnover for targeted interventions
- Prioritizing retention budgets toward highest-impact employees
When NOT to use:
- For involuntary termination planning (different process and ethics)
- When headcount is < 200 (insufficient data for reliable modeling)
Algorithm
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