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Is there a way to do k-fold cross validation with boosted tree?

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

1 REPLY 1
shampton82
Level VII

Re: Is there a way to do k-fold cross validation with boosted tree?

I'd try using the XGBoost app if you'd like to use K-fold and boosted tree.

XGBoost Add-In for JMP Pro - JMP User Community

 

Steve