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.
Este ejercicio forma parte del curso
HR Analytics: Predicting Employee Churn in R
Instrucciones del ejercicio
- Build a logistic regression model using all the independent variables in
train_set_finalto predictturnover. - Print the summary of this model.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Build the final logistic regression model
final_log <- ___(___, family = "binomial",
___)
# Print summary
___