Optimal threshold estimation for binary classifiers using game theory [version 3; referees: 2 approved, 1 approved with reservations]
Many bioinformatics algorithms can be understood as binary classifiers. They are usually compared using the area under the receiver operating characteristic (ROC) curve. On the other hand, choosing the best threshold for practical use is a complex task, due to uncertain and context-dependent skews i...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2017-02-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/5-2762/v3 |