I have read that it is best to select the complexity parameter which
minimises the cross-validated (x) error of the model, but elsewhere I
have read that the optimum cp is the first value on the left above the
'1+SE' line of the complexity paramter plot.
If you plot x=complexity vs y=
Hi all,
I'm currently using the 'rpart' function to run some regression analysis and I
am at the point where I wish to prune my overfitted trees. Having read the
documentation I understand that to do this requires the use of the complexity
parameter. My question is how to go about choosing
2 matches
Mail list logo
