Here we will use the HR churn data ( to present the breakDown package for ranger models.

The data is in the breakDown package

Now let’s create a ranger classification forest for churn, the left variable.

But how to understand which factors drive predictions for a single observation?

With the breakDown package!

Explanations for the trees votings.