Evaluating probabilistic classifiers: the triptych
Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confidence scores, are ubiquitous in science and society, and methods for evaluating and comparing them are in great demand. We propose and study a triptych of diagnostic graphics focusing on distinct and co...
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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
July-September 2024
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| In: |
International journal of forecasting
Year: 2024, Jahrgang: 40, Heft: 3, Pages: 1101-1122 |
| ISSN: | 0169-2070 |
| DOI: | 10.1016/j.ijforecast.2023.09.007 |
| Schlagworte: | |
| Online-Zugang: | Verlag, kostenfrei: https://www.sciencedirect.com/science/article/pii/S0169207023000997/pdfft?md5=bd26faa9dd0165399770a39be8802f6a&pid=1-s2.0-S0169207023000997-main.pdf Resolving-System, kostenfrei: https://doi.org/10.1016/j.ijforecast.2023.09.007 
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| Verfasserangaben: | Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan, Peter Vogel |
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Evaluating probabilistic classifiers: the triptych
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