Avoiding common machine learning pitfalls
Author:
Publisher
Elsevier BV
Reference72 articles.
1. Are we learning yet? A meta review of evaluation failures across machine learning;Liao,2021
2. Is AI fuelling a reproducibility crisis in science?;Gibney;Nature,2022
3. Recommendations for reporting machine learning analyses in clinical research;Stevens;Circ. Cardiovasc. Qual. Outcomes,2020
4. Navigating the pitfalls of applying machine learning in genomics;Whalen;Nat. Rev. Genet.,2022
5. Machine learning in environmental research: common pitfalls and best practices;Zhu;Environ. Sci. Technol.,2023
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