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...

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Principais autores:	Stepan Nersisyan, Victor Novosad, Alexei Galatenko, Andrey Sokolov, Grigoriy Bokov, Alexander Konovalov, Dmitry Alekseev, Alexander Tonevitsky
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	PeerJ Inc. 2022-03-01
סדרה:	PeerJ
נושאים:	ExhauFS Exhaustive search Feature selection Classification Survival regression
גישה מקוונת:	https://peerj.com/articles/13200.pdf
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