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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| Main Author: | |
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| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
27 Jan 2023
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| In: |
Arxiv
Year: 2023, Pages: 1-21 |
| DOI: | 10.48550/arXiv.2301.11797 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.48550/arXiv.2301.11797 Verlag, kostenfrei, Volltext: http://arxiv.org/abs/2301.11797 
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| Author Notes: | Johannes Resin |
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