This tutorial provides the basic guidelines and starter code you need for two powerful techniques for predicting employee turnover. The code is in R, a source tool for data manipulation, analysis, and visualization. After following this tutorial, you will know:

  • How to identify candidate variables using basic descriptive analytic techniques
  • How to build predictive models using Logistic Regression and Decision Trees
  • How to evaluate your models using accuracy and the “ROC” method

Click here to consult the tutorial.