Unique Skill ID: KS441R26FF6RF17KLYD7

Feature Selection

In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction. Feature selection techniques are used for several reasons:simplification of models to make them easier to interpret by researchers/users, shorter training times, to avoid the curse of dimensionality, enhanced generalization by reducing overfitting

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