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From Local Explanations to Global Understanding with Explainable AI for Trees
Tree-based machine learning models such as random forests, decision trees, and gradient boosted trees are popular non-linear predictive models, yet comparatively little attention has been paid to explaining their predictions. Here, we improve the interpretability of tree-based models through three m...
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| Wydane w: | Nat Mach Intell |
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| Główni autorzy: | , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7326367/ https://ncbi.nlm.nih.gov/pubmed/32607472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42256-019-0138-9 |
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