Article

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

2021-08-04

Abstract excerpt

<h4>Motivation</h4> Feature selection is one of the main techniques used to prevent overfitting in machine learning applications. The most straightforward approach for feature selection is exhaustive search: one can go over all possible feature combinations and pick up the model with the highest accuracy. This method together with its optimizations were actively used in biomedical research, however, publicly avai...

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Literature Corpus work: aee50b29-d573-52fb-8b7d-6d91b18c89ec
DOI: 10.1101/2021.08.03.454798

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