• Media type: E-Article
  • Title: Interpretable models for extrapolation in scientific machine learning
  • Contributor: Muckley, Eric S.; Saal, James E.; Meredig, Bryce; Roper, Christopher S.; Martin, John H.
  • imprint: Royal Society of Chemistry (RSC), 2023
  • Published in: Digital Discovery
  • Language: English
  • DOI: 10.1039/d3dd00082f
  • ISSN: 2635-098X
  • Origination:
  • Footnote:
  • Description: <jats:p>On average, simple linear models perform equivalently to black box machine learning models on extrapolation tasks.</jats:p>
  • Access State: Open Access