I used automodel, why themodel always reminding me there is root mean suared error?

tiwatiwa Member Posts: 2 Contributor I
edited November 2018 in Help

Answers

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 1,979  RM Data Scientist

    Hi @tiwa,

     

    this is a common performance measure in data science. It is not an error in the way of "there went something wrong" but rather a goodness of fit. The lower this value, the better is your model. Just google for it with "regression" and you find plenty of ressources.

     

    Cheers!

    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
  • tiwatiwa Member Posts: 2 Contributor I

    So is that means there is no problems with my opration, but my data fit not that well in the model?

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 1,979  RM Data Scientist

    Hi,

     

    There is indeed no problem. Your model might be perfect. Every model has an RMSE. You can use this to compare it to another model. The smaller the better.

     

    Best,

    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
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