Variable selection
For fundamental reasons lying deep in the basic principles of Statistical Data Modeling (but often ignored by practitioners), it is necessary to carefully select those variables that will be used to build the model.
Variable Selection and Dimensionality Reduction
The preceding sections on network design and training have all assumed that the input and output layers are fixed; that is, that we know what variables will be input to the network, ...
In machine learning and statistics, feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, ...
weeks with some new analysis based on augmented data.". He went on to say their variable selections were based on their research of past NH primaries, and couldn't do much about the power given the small number of matches. I didn't press them further.
 See also: Regression, Distribution, Validation, Branch, Estimation
  
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