"How to use ensemble feature selection"

dina_allias

Dear all,
Good day. I am a new user of rapid miner. By the way, I am looking for a way on how to use ensemble feature selection for text processing.
My plan is to combine three types of feature selection algorithm. But I'm not sure whether I can put all the three algorithms together into the ensemble feature selection or not.

Based on my understanding, if I want to use an ensemble method for the classifier, I can use voting, stacking or bagging method. But how about for feature selection ???. Really appreciated if anyone of you could show or teach me on how to use the ensemble feature selection model.

Thank you very much

Regards

MariusHelf

Hi,

before going into the technical details on how to use RapidMiner to do the task, let me ask how exactly you want to combine three feature selections from an algorithmic point of view?

Best regards,
Marius

dina_allias

Hi,
Sorry for the late reply. My plan is to weight every feature from the feature selection algorithms. Then, from the result of the feature weighting, the best features will be used as an input for the classifier. But still wondering whether I can connect directly the feature selections together or not

Thank you

regards

MariusHelf

And what happens if the feature selection algorithms deliver contradictory weights? And how do you want to "connect" them (from an algorithmic point of view, not how to do it in RapidMiner).

Best regards,
Marius