Feature Selection

Introduced by Ghojogh et al. in Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

Feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction.

Source: Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

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Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Classification	39	7.50%
BIG-bench Machine Learning	39	7.50%
Dimensionality Reduction	27	5.19%
Feature Importance	25	4.81%
Time Series	24	4.62%
Feature Engineering	17	3.27%
General Classification	14	2.69%
Intrusion Detection	13	2.50%
Image Classification	13	2.50%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

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