Is there a way to do k-fold cross validation with the boosted tree platform?
While I understand this can be done in model screening, I need to hypertune with the k-fold that provides the maximum performance. So, instead of using model screening, is there a way to do k-fold cross validation with boosted tree predictive modeling where I can also hypertune other parameters?
Thank you for taking the time to get back to me.
Nisha