Algorithms used for selecting features prior to concept induction fall into two categories. Wrapper methods
wrap the feature selection around the induction algorithm
to be used, using cross-validation to predict the
benefits of adding or removing a feature from the feature
subset used. Filter methods are general preprocessing
algorithms that do not rely on any knowledge
of the algorithm to be used. There are strong arguments
in favor of both methods.