SAS Enterprise Miner: Imbalance data

sammmy — Sat, 06 Oct 2018 05:45:47 GMT

Dear all,

I am working on a dataset where my target is having only 12% prevalence. that is giving me a high specificity and a very low sensitivity. Will it be fine to use SMOTE since the ratio is more than 10%? If not what other corrections can I use in Enterprise Miner to adjust for the imbalance.

Thanks

Re: SAS Enterprise Miner: Imbalance data

DougWielenga — Wed, 16 Jan 2019 15:34:06 GMT

For a discussions regarding SMOTE, please see

https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/SAS-Enterprise-Miner-SMOTE-sampling-with-categorical-variables/m-p/394037/thread-id/5980/highlight/true#M6009

https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/SMOTE-with-missing-values/m-p/426917/highlight/true#M6545

For a discussion of the issues with analyzing rare events, please see

https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/Help-with-over-under-sampling-of-the-rare-event-in-predictive/m-p/388519#M5851

For an approach to modeling rare events, consider looking at SAS note 47965 available at

http://support.sas.com/kb/47/965.html

Hope this helps!

Cordially,

Doug

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SAS Enterprise Miner: Imbalance data

Re: SAS Enterprise Miner: Imbalance data