Ensemble Feature Selection Algorithm

Yassine Akhiat, Mohamed Chahhou, Ahmed Zinedine · International Journal of Intelligent Systems and Applications · 2019

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.

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