REFORMS: Consensus-based Recommendations for Machine-learning-based Science
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DOI: 10.1126/sciadv.adk3452
Abstract: Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progress, lead to false consensus… read more here.
Keywords: science; machine learning; learning based; recommendations machine ... See more keywords