Fair Feature Subset Selection using Multiobjective Genetic Algorithm. (arXiv:2205.01512v1 [cs.NE])

Web: http://arxiv.org/abs/2205.01512

The feature subset selection problem aims at selecting the relevant subset of
features to improve the performance of a Machine Learning (ML) algorithm on
training data. Some features in data can be inherently noisy, costly to
compute, improperly scaled, or correlated to other features, and they can
adversely affect the accuracy, cost, and complexity of the induced algorithm.
The goal of traditional feature selection approaches has been to remove such
irrelevant features. In recent years ML is making a noticeable …

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