bagging and apply model
Hello,
I am trying to use the RapidMiner bagging operator with a regression learner inside (SVMs, neural nets and such). When I apply the learned model after bagging I don't get the prediction label in the output example set. What is the proper way to do this?
Thank you,
Carlos
I am trying to use the RapidMiner bagging operator with a regression learner inside (SVMs, neural nets and such). When I apply the learned model after bagging I don't get the prediction label in the output example set. What is the proper way to do this?
Thank you,
Carlos
0
Answers
unfortunately there was a little bug causing the prediction to vanish if used with numerical labels. You will have to wait until the next update unless you are an enterprise customer?
Greetings,
Sebastian
At the moment, I can use the Weka bagging operator instead, but the RapidMiner one is more powerful because I can include another meta learning operator inside, and Weka does not allow that.
Greets,
Carlos