Feature Selection Using Approximated High-Order Interaction Components of the Shapley Value for Boosted Tree Classifier
The Shapely value originates from the cooperative game theory and has been widely used in solving machine learning problems due to its high interpretability and consistency. The typical Shapley value evaluates the importance score of a feature as its average marginal contribution to a fully paramete...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2020-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/9117109/ |
| Метки: |
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