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lucy_luo_conoco
Community Trekker

Loss(Score) Function for Boosted Tree or Random Forest (JMPpro)

If I understand correctly, Random Forest and Boosted tree model in JMPpro using R2 or RMSE as function to judge training/validtion model. If my data (no missing value) want to use minimize Absolute Percent Error min[(pred-true)/true] as function to train the model, how should I do it in JMPpro? or jsl coding? Thank you!

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2 REPLIES 2
Byron_JMP
Staff

Re: Loss(Score) Function for Boosted Tree or Random Forest (JMPpro)

Unless there is something new in v14 that I haven't discvered yet, the loss/training funciton is not an option.

However, I highly recommend that you send a note to support@jmp.com and describe the tuning functions you would like to have as options.

JMP Systems Engineer, Pharm and BioPharm Sciences
lucy_luo_conoco
Community Trekker

Re: Loss(Score) Function for Boosted Tree or Random Forest (JMPpro)

thank you for your answer!

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