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The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics
Training and testing of conventional machine learning models on binary classification problems depend on the proportions of the two outcomes in the relevant data sets. This may be especially important in practical terms when real-world applications of the classifier are either highly imbalanced or o...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3706434/ https://ncbi.nlm.nih.gov/pubmed/23874456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0067863 |
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