D. Samaniego, L. Davila-Pena
In the last years, the usage of Shapley value is being extended through machine learning algorithms as a method to determine the importance of a feature on its contribution to a certain target value. This is done by defining a cooperative game where features play the role of voters.
In this talk we will comment an application of this method into e-commerce business decisions where the target is binary. We will point out some properties like the fact that the cooperative game associated it is not a simple game when the target is binary. Additionally, we will briefly comment some comparison between other methods in the literature to determine importances.
Palabras clave: game theory, cooperative games, data science
Programado
GT19.GAMES5. Game Theory Working Group: Session IV in honor of Prof. Stef Tijs
10 de noviembre de 2023 12:00
CC2: Sala Conferencias