I want to predict if a client is "Detractor" or not. So It is a binary output.
I have a dataset with 14 features. 2 of these features are integer type. My question is:
Should I use s c50 or rpart algorithm?
Which type o decision tree should I choose for the type of income features and binary output?
I know rpart is a regression tree model and c50 is a classification tree.
Thanks to all