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Can 10-fold cross-validation be implemented in Rapidminer Automodel?

515bm1003515bm1003 Member Posts: 3 Contributor I
edited March 2020 in Help
Can 10-fold cross-validation be implemented in Rapidminer Automodel? By default, it is implementing 2-fold cross-validation. I need to do 10-fold cross-validation for a research work.
Thanking you in Advance.

Regards,
Suraj
Jasmine_

Answers

  • varunm1varunm1 Moderator, Member Posts: 1,207   Unicorn
    Hello @515bm1003

    Actually, auto model doesn't implement any cross validation. It does 60:40 (train :test) split validation with the 40% test data divided into 7 sets and tested independently. The performance of these 7 sets of test data is aggregated.

    You need to open the automodel process and manually change it to cross validation. It is doable but a bit complex as you need to shift lot of operators into cross validation and delete some. You can try it by opening the process
    Regards,
    Varun
    https://www.varunmandalapu.com/

    Be Safe. Follow precautions and Maintain Social Distancing

    Jasmine_
  • [Deleted User][Deleted User] Posts: 0 Learner III
    edited March 2020
    @515bm1003

    Hello
    You can easily use cross validation operator and make your process in studio. Also you can use all algorithms that you see in Auto model. It is easier than adding cross validation to Auto model

    Regards
    mbs
    Jasmine_
  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,625   Unicorn
    You can also take the process created by AutoModel and swap out the split validation (the default setup as Varun described) for a cross-validation instead.Β  This is not that complicated although it does require you learn how to use the process design view and not rely entirely on the AutoModel wizard.
    Brian T.
    Lindon VenturesΒ 
    Data Science Consulting from Certified RapidMiner Experts
    Jasmine_
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