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Feature selection
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Process in machine learning and statistics
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In machine learning, feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for several reasons:

Subclass of
Dimensionality reduction
Wikidata