:

Sayash Kapoor1,2, Emily M Cantrell3,4, Kenny Peng5

  • 1Department of Computer Science, Princeton University, Princeton, NJ 08544, USA.

Science advances
|May 1, 2024
PubMed
概括

机器学习 (ML) 的有效性和可重现性的失败在科学中很常见. REFORMS检查清单为基于ML的科学进行和报告提供了明确的指导方针,以提高严谨性和可信度.

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