Trouble with Applying a Linear Regression Model with Nominal Attribute

YyZ_cn

Hi there,

I build a linear regression model with nominal attribute converted to numerical attribute (e.g. SMOKE=0, SMOKE=1). I tried both effect encoding and dummy encoding. Then I tried applying this model to a testing dataset in which the value of SMOKE attribute in all observations is 0. Rapidminer says "attributes do not match". How can I solve this?

 

Thanks! 

MartinLiebig

Hi,
you need to apply the preprocessing model you get from your first Nominal to Numerical operator. This will ensure to have the same data structure.

Best,
Martin

MartinLiebig

Hi,
you need to apply the preprocessing model you get from your first Nominal to Numerical operator. This will ensure to have the same data structure.

Best,
Martin

YyZ_cn

Thank you!

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