Hybrid embedded and filter feature selection methods in big-dimension mammary cancer and prostatic cancer data

The feature selection method enhances machine learning performance by enhancing learning precision. Determining the optimal feature selection method for a given machine learning task involving big-dimension data is crucial. Therefore, the purpose of this study is to make a comparison of feature sele...

詳細記述

書誌詳細
出版年:IAES International Journal of Artificial Intelligence
第一著者: 2-s2.0-85200038464
フォーマット: 論文
言語:English
出版事項: Institute of Advanced Engineering and Science 2024
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200038464&doi=10.11591%2fijai.v13.i3.pp3101-3110&partnerID=40&md5=ba3f5442cc256848925d306572475933