Expected Value Framework | Week 7 | DS4B 201-R Course

We show how the Expected Value Framework can be used for Modeling Employee Churn With H2O Automated Machine Learning to calculate organization savings from various policy changes that reduce overtime.

This is a small sample of the course material covered in Week 8 of our 10-Week online machine learning course: Data science For Business (DS4B 201-R). The course lectures show how to implement in detail for the employee attrition problem

[raghavverma]

in example (fp) and (fn ) are considered same ie if predict stay, but leave ..please correct it