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Optimal Thresholding of Classifiers to Maximize F1 Measure
This paper provides new insight into maximizing F1 measures in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precision and recall, the F1 measure is widely used to evaluate the success of a binary classifier when one class is rare. Mi...
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| Izdano u: | Mach Learn Knowl Discov Databases |
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| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2014
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4442797/ https://ncbi.nlm.nih.gov/pubmed/26023687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-662-44851-9_15 |
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