Resumen de Uninformed methods to build optimal choice-based ensembles
The paper explores uninformed methods to build ensemblesusing aggregations of single choice models. The research aims at developing new models to combine the performance of ensembles with the transparency of choice models. The dataset used to fit the models included rational, emotional and attentional features that were used as explanatory variables of user’s choice. The results point out the superior performance of bagging methods to build optimal choice-based ensembles.
