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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418972/ https://www.ncbi.nlm.nih.gov/pubmed/32780738 http://dx.doi.org/10.1371/journal.pone.0237009 |