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Feature selection with the R package MXM
Feature (or variable) selection is the process of identifying the minimal set of features with the highest predictive performance on the target variable of interest. Numerous feature selection algorithms have been developed over the years, but only few have been implemented in R and made publicly av...
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| I publikationen: | F1000Res |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
F1000 Research Limited
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6792475/ https://ncbi.nlm.nih.gov/pubmed/31656581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.16216.2 |
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