Interpretable models for extrapolation in scientific machine learning

• DOI: 10.1039/d3dd00082f
• Publication Date: 2023-08-21T18:00:57Z
• Authors: Eric S. Muckley; James E. Saal; Bryce Meredig; Christopher S. Roper; John H. Martin
• Keywords: 0301 basic medicine; FOS: Computer and information sciences; Condensed Matter - Materials Science; Computer Science - Machine Learning; 03 medical and health sciences; Materials Science (cond-mat.mtrl-sci); FOS: Physical sciences; Machine Learning (cs.LG)

On average, simple linear models perform equivalently to black box machine learning models on extrapolation tasks.