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Leakage and the reproducibility crisis in machine-learning-based science
Machine-learning (ML) methods have gained prominence in the quantitative sciences. However, there are many known methodological pitfalls, including data leakage, in ML-based science. We systematically investigate reproducibility issues in ML-based science. Through a survey of literature in fields th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499856/ https://www.ncbi.nlm.nih.gov/pubmed/37720327 http://dx.doi.org/10.1016/j.patter.2023.100804 |