Build your first logistic regression model
In the video, we build a simple logistic regression model by using emp_age
to predict turnover
. In this exercise, you will build a similar model to predict turnover
using percent_hike
.
Also, as discussed in the video, we dropped the following columns from the dataset:
emp_id
,mgr_id
date_of_joining
,last_working_date
,cutoff_date
mgr_age
,emp_age
median_compensation
,department
status
This new dataset is available in train_set_multi
.
This exercise is part of the course
HR Analytics: Predicting Employee Churn in R
Exercise instructions
- Build a simple logistic regression model to predict
turnover
usingpercent_hike
. - Print the summary of this model.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Build a simple logistic regression model
simple_log <- ___(___,
family = "binomial", data = train_set_multi)
# Print summary
___(simple_log)