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.

Cet exercice fait partie du cours

HR Analytics: Predicting Employee Churn in R

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Instructions

Build a logistic regression model using all the independent variables in train_set_final to predict turnover.
Print the summary of this model.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Build the final logistic regression model
final_log <- ___(___, family = "binomial", 
                 ___)

# Print summary 
___

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