Fuzzy filter cost-sensitive feature selection with differential evolution

Emrah Hancer, Bing Xue, Mengjie Zhang

Abstract: Highlights•A cost sensitive filter evaluation criterion is developed.•Based on the filter evaluation criterion, a EC-based cost-sensitive feature selection method is developed.•It is expected to effectively search for lower-cost features, which are beneficial for the learning performance.•The proposed cost-sensitive method also reduces the computational cost and the total misclassification cost.