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.

本练习是课程的一部分

HR Analytics: Predicting Employee Churn in R

查看课程

练习说明

Build a simple logistic regression model to predict turnover using percent_hike.
Print the summary of this model.

交互式实操练习

通过完成这段示例代码来试试这个练习。

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

# Print summary
___(simple_log)

编辑并运行代码