If you use 10-fold cross validation to derive the error in, say, a C4.5 algorithm, then you are essentially building 10 separate trees on 90% of the data to test on 10% - 10 times. How can you create a single representation from all those ten trees created?
For example - how does WEKA and Rapidminer give me a single tree after cross validation on a C4.5?
I created all the trees in R, but I don`t know how to visualize the result as a single tree.