ExhauFS: exhaustive search-based feature selection for classification and survival regression

Feature selection is one of the main techniques used to prevent overfitting in machine learning applications. The most straightforward approach for feature selection is an exhaustive search: one can go over all possible feature combinations and pick up the model with the highest accuracy. This metho...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Stepan Nersisyan, Victor Novosad, Alexei Galatenko, Andrey Sokolov, Grigoriy Bokov, Alexander Konovalov, Dmitry Alekseev, Alexander Tonevitsky
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	PeerJ Inc. 2022-03-01
Sarja:	PeerJ
Aiheet:	ExhauFS Exhaustive search Feature selection Classification Survival regression
Linkit:	https://peerj.com/articles/13200.pdf
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