Confiance de classe pour la prédiction de dette en gestion immobilière

The prediction of tenants likely to fall into a debt situation is a key issue for social property owners in real estate. It is even more important for them to limit the number of people falsely predicted to be in debt to avoid incurring unnecessary costs (in time and money), for instance by sending agents to prevent the debt. In this paper, we adapt mondrian conformal prediction to control the error rate of this class, while keeping a level of confidence chosen by the social property owner, or more generally by the user. This small adaptation not only allows us to answer our application requirement but also opens up interesting questions regarding differentiated confidence levels.