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Testing the Calibration of Classification Models from First Principles
The accurate assessment of the calibration of classification models is severely limited by the fact that there is no easily available gold standard against which to compare a model’s outputs. The usual procedures group expected and observed probabilities, and then perform a χ(2) goodness-of-fit test...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3540450/ https://ncbi.nlm.nih.gov/pubmed/23304285 |
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