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...
| Publicado en: | BioMed Research International pp. 1 - 12 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
11/25/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |