I'm new to rapid miner and I'm trying to create a decision tree which ultimately shows variables that lead people to churn. I got the data from here:http://www.dataminingconsultant.com/data/churn.txt
I first saved it as a csv file. Imported into rapidminer and set everything as nominal. phone# as ID, churn as label, and everything else as attribute.
from there I put the data linked to to a x-validation operator, and when I run it, the tree only shows up one box (leaf, node?) sorry it might be a stupid question, but is the first process I do in rapid miner.
any help greatly appreciated.