CV Lattes
ORCID
Abstract
The main objective of this project is the development of a methodology capable of explaining how predictive models make their predictions. For such, we propose to simplify a complex ensemble predictor, such as the model induced by the Random Forest algorithm, into a single decision tree while preserving most of the relevant learned information and predictive power.