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DPTree and DPForest: Tree-based methods fulfilling demographic parity

par Simon, Pierre-Alexandre ;Denuit, Michel ;Trufin, Julien
Référence Annals of Actuarial Science
Publication Publié, 2025

Article révisé par les pairs

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Résumé :

Tree-based methods are widely used in insurance pricing due to their simple and accurate splitting rules. However, there is no guarantee that the resulting premiums avoid indirect discrimination when features recorded in the database are correlated with the protected variable under consideration. This paper shows that splitting rules in regression trees and random forests can be adapted in order to avoid indirect discrimination related to a binary protected variable like gender. The new procedure is illustrated on motor third-party liability insurance claim data.