Question

What is the difference between filter and wrapper approach in feature selection?

Answer 1

Wrapper methods use a predictive model to score feature subsets. Each new subset is used to train a model, which is tested on a hold-out set. ... This lack of tuning means a featureset from a filter is more general than the set from a wrapper, usually giving lower prediction performance than awrapper.