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...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844021014596 |