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How to reduced efficiently the Class levels in the Association & Decision nodes

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Occasional Contributor
Posts: 11

How to reduced efficiently the Class levels in the Association & Decision nodes

Hi Bees,

I am new to Eminer 6.2 version, would like to use Association & Decision nodes but  eminer throwing error, to reduced the Class levels and it is reached to maximum class level 512 exceeded.

Could you please help me out how to handle efficiently class level below 512 level.

Thanks in advance for you valuable advises.

Regards,

Mirza

Super Contributor
Posts: 337

Re: How to reduced efficiently the Class levels in the Association & Decision nodes

Posted in reply to MirzaShaheenBaig

I would suggest unsupervised learning like Clustering. That would be my go-to because it is quick, and also easy to explain.

If you want to try more advanced things, Andrew Cathie has presented papers recently at SAS Global Forum on using the outputs of decision trees and regressions to solve the curse of dimensionality. Links to his papers:

The Anti-Curse: Creating an Extension to SAS® Enterprise Miner™ Using PROC ARBORETUM

http://support.sas.com/resources/papers/proceedings11/155-2011.pdf

Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding

http://support.sas.com/resources/papers/proceedings13/014-2013.pdf

I hope it helps,

Miguel

Occasional Contributor
Posts: 11

Re: How to reduced efficiently the Class levels in the Association & Decision nodes

Posted in reply to M_Maldonado

Thanks Miguel for your advise.

I will explore this reference.

Regards,

Mirza

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