-
Elastic Net Regression – The HR Predictor Pro!
In HR, predicting outcomes like attrition, promotions, or performance isn’t easy. Too many factors are at play—salary, tenure, engagement, absenteeism, training, manager ratings… and many of them are correlated.
That’s where Elastic Net Regression comes in.
It blends the strengths of Lasso (feature selection) and Ridge (multicollinearity handling) to build balanced, stable models.
✨ Why it matters for HR:
* Identifies which factors truly drive attrition.
* Handles overlapping predictors (salary & experience, engagement & performance).
* Creates reliable models for workforce planning.
👉 HR Use Case:
An HR team predicting employee attrition with 20+ variables uses Elastic Net.
* Lasso alone drops too many factors.
* Ridge alone keeps too many irrelevant ones.
* Elastic Net finds the balance, giving HR a practical retention model.
💡 With Elastic Net, HR leaders don’t just predict—they strategize smarter .
