most citedQuantifying the performance of machine learning models in materials discovery

48 citations · 48 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2022★ 48 cited

Quantifying the performance of machine learning models in materials discovery

Christopher K. H. Borg, Eric S. Muckley, Clara Nyby +4

The predictive capabilities of machine learning (ML) models used in materials discovery are typically measured using simple statistics such as the root-mean-square error (RMSE) or…