Web: http://arxiv.org/abs/2206.08394

June 20, 2022, 1:12 a.m. | Jarne Verhaeghe, Jeroen Van Der Donckt, Femke Ongenae, Sofie Van Hoecke

stat.ML updates on arXiv.org arxiv.org

Feature selection is a crucial step in developing robust and powerful machine
learning models. Feature selection techniques can be divided into two
categories: filter and wrapper methods. While wrapper methods commonly result
in strong predictive performances, they suffer from a large computational
complexity and therefore take a significant amount of time to complete,
especially when dealing with high-dimensional feature sets. Alternatively,
filter methods are considerably faster, but suffer from several other
disadvantages, such as (i) requiring a threshold value, (ii) …

arxiv feature feature selection lg power

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