Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm

HIGHLIGHTS

• who: Alexander Dunn from the (UNIVERSITY) have published the paper: Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm, in the Journal: (JOURNAL) of 15/09/2020
• what: The authors demonstrate the benchmark capable of distinguishing predictive strengths and weaknesses among ML techniques. The authors report results generated using the Express preset, which is designed to run with a maximum AutoML training time of 24 h. The authors evaluate Automatminer on the Matbench test suite and provide comparisons with alternative algorithms in Fig 3. Next, the authors examine how the performance . . .
  

   

  

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