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...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Resin, Johannes (VerfasserIn)
Dokumenttyp:	Article (Journal) Kapitel/Artikel
Sprache:	Englisch
Veröffentlicht:	27 Jan 2023
In:	Arxiv Year: 2023, Pages: 1-21
DOI:	10.48550/arXiv.2301.11797
Online-Zugang:	Verlag, kostenfrei, Volltext: https://doi.org/10.48550/arXiv.2301.11797 Verlag, kostenfrei, Volltext: http://arxiv.org/abs/2301.11797
Verfasserangaben:	Johannes Resin