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The Fermi–Dirac distribution provides a calibrated probabilistic output for binary classifiers
Binary classification is one of the central problems in machine-learning research and, as such, investigations of its general statistical properties are of interest. We studied the ranking statistics of items in binary classification problems and observed that there is a formal and surprising relati...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403970/ https://www.ncbi.nlm.nih.gov/pubmed/34413191 http://dx.doi.org/10.1073/pnas.2100761118 |