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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
BACKGROUND: To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating. Despite being a crucial issue in machine learning, no widespread consensus has been reached on a...
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| Pubblicato in: | BMC Genomics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6941312/ https://ncbi.nlm.nih.gov/pubmed/31898477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-019-6413-7 |
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