April 2019
Beginner to intermediate
252 pages
4h 40m
English
Just like statistical models, decision tree models help you identify which predictors are most important in the model. There are no equations, and we can't determine a one-unit impact and along with the effect that it has on an outcome variable. Instead we are going to create rules that make predictions by segmenting data in two mutually-exclusive categories.
So, for example, as you can see in the following screenshot, we have anybody with a variable Premier value of No:

We have anybody that was a customer for three years or fewer, as shown in the following screenshot:
And we have people whose estimated revenue was ...
Read now
Unlock full access