no code implementations • 3 May 2022 • Emilio Soria-Olivas, José E. Vila Gisbert, Regino Barranquero Cardeñosa, Yolanda Gomez
This paper presents a sandbox example of how the integration of models borrowed from Behavioral Economic (specifically Protection-Motivation Theory) into ML algorithms (specifically Bayesian Networks) can improve the performance and interpretability of ML algorithms when applied to Behavioral Data.
