inbalanced classification option

[Lu]

In medical research the outcome under study is frequently rare, so the data are highly unbalanced.

The model perfomance can significnatly improofed by correction for inbalancing by over- or undersampling. Therefore, I would suggets that all prediction model platforms should have the inbalanced classification option. Even better, the Model screening platform should have the inbalanced classification option included.

Regards,

Lu

[Sarah-Sylvestre]

@Lu - Thank you for your suggestion! We have captured your request and will take it under consideration.

[Sarah-Sylvestre]

@Lu -  Thank you for this suggestion, it has been submitted and is being evaluated for possible inclusion in a future release.  In the meantime, there are a few add-ins that address this that I think you are aware of.

https://community.jmp.com/t5/JMP-Add-Ins/Stratified-Data-Partitioning-with-balancing-options-add-in/...
https://community.jmp.com/t5/JMP-Add-Ins/Imbalanced-Classification-Add-In/ta-p/304836

[Sarah-Sylvestre]

@Lu - Also, Decision threshold enables you to change the cutoff for classification with unbalanced data in JMP 16.  It is available in most modeling platforms for binary response.