First of all, I am very new to this subject. I have been using weka some days to familiarize myself and reading about data mining to understand it.
I have a dataset (from UCI, german credit data) and I need to classify it. I have been trying different tree algorithms using different attributes instead of all and I wish to find which one gives me the best tree. (splitting my data 66/34 for training and testing)
Is there a way to automate this, that is make weka try all combinations of attributes to find which ones give the best tree? I would prefer to use weka since is the tool I have been using, but this is not compulsory.