An urn model for majority voting in classification ensembles

1 code implementation • NeurIPS 2016 • Victor Soto, Alberto Suárez, Gonzalo Martinez-Muñoz

An analysis of this classical urn model based on the hypergeometric distribution makes it possible to estimate the confidence on the outcome of majority voting when only a fraction of the individual predictions is known.

Classification General Classification