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  3. HR Analytics: Predicting Employee Churn in R

Exercise

Creating turnover risk buckets

Now that you have predicted the probability of turnover for each active employee, you will classify them into different risk bucket as mentioned below:

  • no-risk, if 0 <= fit <= 0.5
  • low-risk, if 0.5 < fit <= 0.6
  • medium-risk, if 0.6 < fit <= 0.8
  • high-risk, if 0.8 < fit <= 1

You will use the cut() function instead of multiple ifelse() statements to create the risk buckets.

Risk buckets help you in creating appropriate interventions and retention plans.

Instructions

100 XP
  • Classify the employees in risk buckets based on the fit column in emp_risk as per the conditions mentioned above.
  • Print the number of employees in each risk bucket.