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sammmy
Obsidian | Level 7

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

1 ACCEPTED SOLUTION

Accepted Solutions
DougWielenga
SAS Employee

For a discussions regarding SMOTE, please see 

    

https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/SAS-Enterprise-Miner-SMOTE-sampling-with-...

 

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

 

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...

 

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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1 REPLY 1
DougWielenga
SAS Employee

For a discussions regarding SMOTE, please see 

    

https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/SAS-Enterprise-Miner-SMOTE-sampling-with-...

 

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

 

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...

 

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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