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.
Questo esercizio fa parte del corso
HR Analytics: Predicting Employee Churn in R
Istruzioni dell'esercizio
- Build a logistic regression model using all the independent variables in
train_set_finalto predictturnover. - Print the summary of this model.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Build the final logistic regression model
final_log <- ___(___, family = "binomial",
___)
# Print summary
___