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Looking for multiple label regression

morphismmorphism Member Posts: 18 Learner I
edited January 15 in Help

Hi, everybody.


I am looking for a way for "multiple label regression"


For example, there are two labels,

concentration(real attribute), type(nominal attribute)

and several independent attributes


So I want to predict concentration and type, given independent attributes

using Neural Network or Deep Learning or Regression or else.


What is the best strategy doing this using RapidMiner?

(But, I found RapidMiner cannot assign two or more labels to example sets)


I am a beginner of RapidMiner, so please help me with this difficult problem.

Thank you and have a nice weekend.

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Answers

  • morphismmorphism Member Posts: 18 Learner I
    edited November 2018

    Hello, Telcontar120.

    Thank you for you comment.

    I don't have experience with two labels setting, so I cannot figure what that means at this moment.

    But I will follow your guidance.

    Thank you and Have a nice weekend, Telcontar120.

    See you later.

  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,267   Unicorn
    There is an operator called "Set Role" that you can use to change the role.  So you simply use that operator and make your first target variable your label (e.g., concentration), and then use RapidMiner to build a predictive model for it.  Then you use Set Role again, change the label to the other target variable (type), and then build another model.  Then you have two predictive models, one for each of the attributes you want to predict.
    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
    sgenzer
  • morphismmorphism Member Posts: 18 Learner I
    Thank you.~
  • morphismmorphism Member Posts: 18 Learner I

    Thank you, rfuentealba.

    I will send you email if it is hard to build processes as you teach me

    See you soon and have a nice day!

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