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Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies

Accurately estimating performance accuracy of machine learning classifiers is of fundamental importance in biomedical research with potentially societal consequences upon the deployment of best-performing tools in everyday life. Although classification has been extensively studied over the past deca...

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Publicat a:Pac Symp Biocomput
Autors principals: Ramola, Rashika, Jain, Shantanu, Radivojac, Predrag
Format: Artigo
Idioma:Inglês
Publicat: 2019
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6417800/
https://ncbi.nlm.nih.gov/pubmed/30864316
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