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Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables
The selection of a descriptor, X, is crucial for improving the interpretation and prediction accuracy of a regression model. In this study, the prediction accuracy of models constructed using the selected X was determined and the results of variable selection, according to the number of selected X a...
Tallennettuna:
| Julkaisussa: | Heliyon |
|---|---|
| Päätekijä: | |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8237311/ https://ncbi.nlm.nih.gov/pubmed/34195450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2021.e07356 |
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