Ensemble method for multiple data sets

rm5rm5 Member Posts: 1 Contributor I
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!

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