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Classifying data with a support vector machine in RapidMiner

supportvectormachinesupportvectormachine Member Posts: 4 Newbie
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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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    Solution Accepted
    Hi @supportvectormachine,

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

    The model is inside a Cross Validation operator in order to estimate the performance of your model.

    Hope this helps,

    Regards,

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

    The Optimize 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


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