Trouble with Applying a Linear Regression Model with Nominal Attribute

YyZ_cnYyZ_cn Member Posts: 2 Contributor I
edited October 2019 in Help

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?



Best Answer

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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,507 RM Data Scientist
    Solution Accepted
    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.

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany


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    YyZ_cnYyZ_cn Member Posts: 2 Contributor I

    Thank you!

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



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