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Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability
We discuss the validation of machine learning models, which is standard practice in determining model efficacy and generalizability. We argue that internal validation approaches, such as cross-validation and bootstrap, cannot guarantee the quality of a machine learning model due to potentially biase...
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| Pubblicato in: | Patterns (N Y) |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7691387/ https://ncbi.nlm.nih.gov/pubmed/33294870 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100129 |
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