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Please help me with this issue

99patilpranav99patilpranav Member Posts: 1 Contributor I
edited November 2018 in Help
Hello Guys,

I am working on one of the projects where i am a bit donfused developing a model .

What operator takes in numeric data as input under classification and modelling. I need to predict  based on numbers as inputs .

Any operators/methods you could suggest .

Help will be appreciated.

Answers

  • Elisa0815Elisa0815 Member Posts: 10 Contributor I
    Hello,

    I don't really understand your problem. Can you may describe it in more detail?

    Every classifier can be trained with a set of numbers, as long as it contains also labels.
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,462  RM Data Scientist
    Hi,

    actually i think all of the classification algorithms can treat numbers. It is more the other way around that just a few can also take strings. Simply go to Modelling->Classification and Regression in the operator tree.

    Some key algorithms:
    SVM
    Neural Net
    Naive Bayes
    Random Forest

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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