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An Efficient and Effective Model to Handle Missing Data in Classification
Missing data is one of the most important causes in reduction of classification accuracy. Many real datasets suffer from missing values, especially in medical sciences. Imputation is a common way to deal with incomplete datasets. There are various imputation methods that can be applied, and the choi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710403/ https://www.ncbi.nlm.nih.gov/pubmed/33299878 http://dx.doi.org/10.1155/2020/8810143 |