Feature selection is the process of selecting a subset of relevant features for model construction. It reduces complexity and can improve or maintain model accuracy. The curse of dimensionality means that as the number of features increases, the amount of data needed to maintain accuracy also increases exponentially. Feature selection methods include filter methods (statistical tests for correlati
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