Concepedia

Concept

feature selection

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About

Feature selection is a methodological approach within data science and machine learning focused on identifying and choosing a subset of relevant features from a larger set of initial variables. This process aims to enhance model performance, reduce computational complexity, improve interpretability, and mitigate the risk of overfitting by discarding irrelevant or redundant features.

Top Authors

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BX

Victoria University of Wellington

MZ

Victoria University of Wellington

SM

Torrens University Australia

QH

Tianjin University

FN

Northwestern Polytechnical University

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Victoria University of Wellington

Wellington, New Zealand

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