randomForest from the package of the same name will be used to build a random forest for the German credit data problem.
randomForestpackage by using
GC_RF <- randomForest(good_bad~.,data=GC,keep.forest=TRUE, ntree=500).
It is very difficult to visualize a single tree of the random forest. A very ad-hoc approach has been found at http://stats.stackexchange.com/questions/2344/best-way-to-present-a-random-forest-in-a-publication. Now we reproduce the necessary function to get the trees, and as the solution step is not exactly perfect, you may skip this part; steps ...