Trouble with Applying a Linear Regression Model with Nominal Attribute

YyZ_cn
YyZ_cn New Altair Community Member
edited November 5 in Community Q&A

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! 

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Best Answer

  • MartinLiebig
    MartinLiebig
    Altair Employee
    Answer ✓
    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

Answers

  • MartinLiebig
    MartinLiebig
    Altair Employee
    Answer ✓
    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
    YyZ_cn New Altair Community Member

    Thank you!

    Sorry for the late reply. I did not receive any email notification.

     

     

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