An Approach to Identifying the Most Predictive and Discriminant Features in Supervised Classification Problems

In this paper, we are interested in explaining datasets used supervised classification problems by identifying the features that most predictive and discriminant of class. We first propose a definition based on impact performance models. then an approach to using multicriteria decision making. Finally, present discuss experiment public dataset illustrating potential approach.