Ensemble method for multiple data sets

joandcruzjoandcruz Member Posts: 10 Contributor II
edited November 2018 in Help

I am currently working in RapidMiner 4.6.

I have extracted features from my main data set into 2 sets of features. One is a word vector (53 features) and the other is a set with 10 different features.

I have 2 different classifiers that I would like to combine in an ensemble method:

    Logistic Regression on the word vector
    W-J48graft on a different set of features

From my understanding I can only use operators such as stacking and voting if I give it one and the same data set as input.

How would I go about combining predictions from both my data sets using an ensemble method?

Thank you in advance!


  • Options
    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,517 RM Data Scientist

    Why are you using 4.3 and not 5 or 6?

    In 5/6 you have the Vote operator, which is what you need. Inside you can learn your different models and combine them.


    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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