# Employee turnover prediction and retention policies design: a case study

arXiv: https://arxiv.org/abs/1707.01377 · HTML: https://mlsanity.com/paper/1707.01377/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jul 2017.

## Built on by (most cited first, 1 of 1)

- [Spiral Model Technique For Data Science & Machine Learning Lifecycle](https://mlsanity.com/paper/2510.06987/) (2025)

## Abstract (arXiv)

This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed. Model outputs are then discussed to design & test employee retention policies. This type of retention discussion is, to our knowledge, innovative and constitutes the main value of this paper.