From classification accuracy to proper scoring rules: elicitability of probabilistic top list predictions

In the face of uncertainty, the need for probabilistic assessments has long been recognized in the literature on forecasting. In classification, however, comparative evaluation of classifiers often focuses on predictions specifying a single class through the use of simple accuracy measures, which di...

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Bibliographic Details

Main Author:	Resin, Johannes (Author)
Format:	Article (Journal)
Language:	English
Published:	5/2023
In:	Journal of machine learning research Year: 2023, Volume: 24, Pages: 1-21
ISSN:	1533-7928
Online Access:	Verlag, kostenfrei, Volltext: http://jmlr.org/papers/v24/23-0106.html
Author Notes:	Johannes Resin