Hi All,
I am trying to use the C50 package to build classification trees in R.
Unfortunately there is not enought documentation around its use. Can anyone
explain to me - how to prune the decision trees?
Regards,
Indrajit
[[alternative HTML version deleted]]
There isn't much out there. Quinlan didn't open source the code until about
a year ago.
I've been through the code line by line and we have a fairly descriptive
summary of the model in our book (that's almost out):
http://appliedpredictivemodeling.com/
I will say that the pruning is mostly
Thanks Max,
I have been able to figure out the following options so far:
1. The winnow = TRUE option in the control statement
2. CF = . I have no clue as to how this works
3. nGlobalPruning = TRUE
4. minCases =
Only the 4th one is simple to understand. The rest are a bit vague as to
3 matches
Mail list logo