Building final logistic regression model
We removed the highly collinear variables (level and compensation) to create train_set_final. It's time for you to build the final logistic regression model using this dataset. This model will be used to predict the probability of turnover of all the employees.
This exercise is part of the course
HR Analytics: Predicting Employee Churn in R
Exercise instructions
- Build a logistic regression model using all the independent variables in
train_set_finalto predictturnover. - Print the summary of this model.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build the final logistic regression model
final_log <- ___(___, family = "binomial",
___)
# Print summary
___