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Two classification models in one process?

rorasroras Member Posts: 3 Contributor I
edited April 2020 in Help

Hello RM Community,

 

I've been lurking around the forums for quite some time now and I am still learning this new tool. I just wanted to ask if it is possible to run two classification models (e.g. k-nn and decision tree) in one process? If yes, then is it possible to get separate performance results for each? 

 

Sorry if it's a newbie question. 

 

Thanks in advance!

Rem

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Answers

  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,625   Unicorn

    Absolutely, you can run them both in parallel by using a Mulitply Data operator and simply having two streams in your process using the same data inputs.  You can then compare the output.  This is very commonly done in RapidMiner.

    You can also combine multiple models together using ensemble solutions like Vote, which allows you to combine the predictions from multiple models.

    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
    sgenzer
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