Package containing functions for selecting attributes from a given dataset and a destination attribute.
This package contains:
-Algorithms for filtering attributes: cfs, chi.squared, information.gain, gain.ratio, symmetrical.uncertainty, linear.correlation, rank.correlation, oneR, relief, consistency, random.forest.importance
-Algorithms for wrapping classifiers and search attribute subset space: best.first.search, backward.search, forward.search, hill.climbing.search
-Algorithm for choosing a subset of attributes based on attributes' weights: cutoff.k, cutoff.k.percent, cutoff.biggest.diff
-Algorithm for creating formulas: as.simple.formula
Maintainer: Lars Kotthoff <email@example.com>
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