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The Ethereal
Criteria of efficiency for conformal prediction
March 14, 2016 ยท Declared Dead ยท ๐ International Symposium on Conformal and Probabilistic Prediction with Applications
"No code URL or promise found in abstract"
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Authors
Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman
arXiv ID
1603.04416
Category
cs.LG: Machine Learning
Citations
92
Venue
International Symposium on Conformal and Probabilistic Prediction with Applications
Last Checked
4 months ago
Abstract
We study optimal conformity measures for various criteria of efficiency of classification in an idealised setting. This leads to an important class of criteria of efficiency that we call probabilistic; it turns out that the most standard criteria of efficiency used in literature on conformal prediction are not probabilistic unless the problem of classification is binary. We consider both unconditional and label-conditional conformal prediction.
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