Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection is the technique of selecting a subset of relevant features for building robust learning models (Source: Wikipedia). Data mining problems may involve hundreds, or even thousands, of variables that can potentially be used as inputs. As a result, a great deal of time and effort m…
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