Article

Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size

2023-01-20

Abstract excerpt

<h4>Background: </h4> Selecting the k best features is a common task in machine-learning. Typically, a few variables have high importance, but many have low importance (right skewed distribution). This report proposes a numerically precise method to address this skewed feature importance distribution to reduce a feature set to the informative minimum of items. Methods Computed ABC analysis (cABC) is an item categ...

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Literature Corpus work: 5b32e972-705a-5453-8d31-2b8f902ed2f7
DOI: 10.21203/rs.3.rs-2484446/v1

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