A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification

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A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification

Feature selection is a useful technique in classification (and regression) problems to find the most informative features for predicting but still preserves the data generality. However, some feature subset searching methods are too exhaustive while others are too greedy. On the other hand, paramete...

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Bibliografiske detaljer
Những tác giả chính:	Phạm, Quang Huy, Alioune Ngom, Luis Rueda
Format:	Conference poster
Sprog:	English
Udgivet:	IEEE 2023
Fag:	machine learning feature selection
Online adgang:	https://scholar.dlu.edu.vn/handle/123456789/2711
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Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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