Hybrid-Recursive Feature Elimination for Efficient Feature Selection
As datasets continue to increase in size, it is important to select the optimal feature subset from the original dataset to obtain the best performance in machine learning tasks. Highly dimensional datasets that have an excessive number of features can cause low performance in such tasks. Overfittin...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2020-05-01
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| Seria: | Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2076-3417/10/9/3211 |
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