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Build a multiple logistic regression model

An employee's decision to leave the organization usually depends on more than just one factor. Hence, considering only one independent variable would not be of much use when trying to predict turnover.

In this exercise, you will use all the independent variables in the dataset (train_set_multi) to build a multiple logistic regression model.

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_multi to predict turnover.
  • Print the summary of this model.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Build a multiple logistic regression model
multi_log <- ___(___, family = "binomial", 
                 data = train_set_multi)

# Print summary
___
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