Ensemble feature selection algorithm
Автор: Yassine Akhiat, Mohamed Chahhou, Ahmed Zinedine
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 1 vol.11, 2019 года.
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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.
Feature selection, ensemble, library, benchmark, datasets, subset, model, algorithm
Короткий адрес: https://sciup.org/15016560
IDR: 15016560 | DOI: 10.5815/ijisa.2019.01.03
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