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The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity
In a broad range of fields it may be desirable to reuse a supervised classification algorithm and apply it to a new data set. However, generalization of such an algorithm and thus achieving a similar classification performance is only possible when the training data used to build the algorithm is si...
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| Wydane w: | PLoS One |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Public Library of Science
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7418972/ https://ncbi.nlm.nih.gov/pubmed/32780738 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237009 |
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