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Ensemble method for multiple data sets
Contributor I
Hi,
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!
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!
0
Answers
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.
Cheers,
Martin
Dortmund, Germany