Calculate turnover risk probability
To design an employee retention strategy, you need the turnover probability for each employee. This is also known as the employee turnover risk score. Once you know the individual risk score of each employee, you can customize and prioritize the retention strategies for employees at different risk scores.
In this exercise, you will calculate the turnover risk scores only for Active
employees using the final_log
model.
This exercise is part of the course
HR Analytics: Predicting Employee Churn in R
Exercise instructions
- Load the
tidypredict
package. - Subset the
emp_final
dataset to contain onlyActive
employees and calculate probability turnover for these employees usingtidypredict_to_column()
. - Run the given code to print the probability of turnover for top 2 rows.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load tidypredict
library(___)
# Calculate probability of turnover
emp_risk <- emp_final %>%
filter(status == "___") %>%
___(final_log)
# Run the code
emp_risk %>%
select(emp_id, fit) %>%
slice_max(n = 2, fit)