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DOME recommendations for ML validation in biology (2021)

Reference

Citation: Walsh, I., Fishman, D., Garcia-Gasulla, D. et al. "DOME: recommendations for supervised machine learning validation in biology." Nature Methods 18, 1122–1127 (2021). Type: standard. Link: doi:10.1038/s41592-021-01205-4.

What it is

A community set of reporting recommendations, from the ELIXIR Machine Learning Focus Group, for supervised machine learning in biology. It covers four areas, Data, Optimization, Model, and Evaluation, and states what to report so a model's validation can be judged, including the independence of training and test data.

Role in the record

  • Grounds BP08: reporting standards for ML validation in biology, including guards against data leakage between training and test sets.
  • Grounds BP05: structured reporting of the data and model so a resource is reusable.

Atom-level for/against detail and quotes are in the provenance data (assets/provenance.yml), keyed by practice atom.

Discussion