In the Random Forest implementation of
ranger I see that a user is able to force the algorithm to always split on specific variables using the argument
Is It possible to set this argument in
caret somehow. I have a model where I examined the misclassifications and I can see that several attributes have ideal values which should insure the algorithm classifies a record as yes but instead it gets classified as a no. I would like the force the algorithm to split on these columns more if possible to see if it results in an improved fit.
Thank you for your time