文章基本信息

标题：Ensemble Feature Selection Algorithm
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作者：Yassine AKHIAT ; Mohamed CHAHHOU ; Ahmed ZINEDINE 等
期刊名称：International Journal of Intelligent Systems and Applications
印刷版ISSN：2074-904X
电子版ISSN：2074-9058
出版年度：2019
卷号：11
期号：1
页码：24-31
DOI：10.5815/ijisa.2019.01.03
出版社：MECS Publisher
摘要：In this paper, we propose a new feature selection algorithm based on ensemble selection. In order to generate the library of models, each model is trained using just one feature. This means each model in the library represents a feature. Ensemble construction returns a well performing subset of features associated to the well performing subset of models. Our proposed approaches are evaluated using eight benchmark datasets. The results show the effectiveness of our ensemble selection approaches.
关键词：Feature selection;ensemble;library;benchmark;datasets;subset;model;algorithm