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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691387/ https://www.ncbi.nlm.nih.gov/pubmed/33294870 http://dx.doi.org/10.1016/j.patter.2020.100129 |