Classifying data with a support vector machine in RapidMiner

supportvectormachinesupportvectormachine MemberPosts:4Newbie
Hello,

Coming from IBM SPSS Modeler I'm experiencing some troubles modeling the same approach in RapidMiner.
I basically followed this tutorial on the IBM SPSS Modeler documentation:
https:// www。ibm。com/support/knowledgecenter/en/SS3RA7_18.2.1/modeler_tutorial_ddita/clementine/example_svm_intro.html
in which a dataset of specific variables from cells gets taken into an SVM in order to identify the class of a certain cell type.

I've attached the CSV as a file but do not know how to create an SVM in RapidMiner that does use all of the attributes except Class and Patient ID in order to determine the Class.

Can anyone hint me in the right direction?
Thanks in advance.

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Best Answers

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, MemberPosts:1,195Unicorn
    Solution Accepted
    Hi@supportvectormachine,

    You can find a working process using aSVMmodel and your dataset with :
    - the attribute ID set as "id"
    - the attribute Class set as "label"

    The model is inside aCross Validationoperator in order to estimate the performance of your model.

    Hope this helps,

    Regards,

    Lionel
  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, MemberPosts:1,195Unicorn
    Solution Accepted
    Hi@supportvectormachine,

    TheOptimize Parameters (Grid)operator has been made for you !!!
    Take a look at the process in attached file and you can play with the parameters of this operator.

    The results look like that :


    Hope this helps,

    Regards,

    Lionel


    supportvectormachine

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