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.
Este exercício faz parte do curso
HR Analytics: Predicting Employee Churn in R
Instruções do exercício
- Build a logistic regression model using all the independent variables in
train_set_multito predictturnover. - Print the summary of this model.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Build a multiple logistic regression model
multi_log <- ___(___, family = "binomial",
data = train_set_multi)
# Print summary
___