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.

Este ejercicio forma parte del curso

HR Analytics: Predicting Employee Churn in R

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Instrucciones del ejercicio

Load the tidypredict package.
Subset the emp_final dataset to contain only Active employees and calculate probability turnover for these employees using tidypredict_to_column().
Run the given code to print the probability of turnover for top 2 rows.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

# 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)

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