首页|Research Data from Shanghai University Update Understanding of Machine Learning (Discovery Precision: an Effective Metric for Evaluating Performance of Machine Learning Model for Explorative Materials Discovery)
Research Data from Shanghai University Update Understanding of Machine Learning (Discovery Precision: an Effective Metric for Evaluating Performance of Machine Learning Model for Explorative Materials Discovery)
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NETL
NSTL
Elsevier
A new study on Machine Learning is now available. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The evaluation of machine learning (ML) models in identifying novel materials with superior Figure of Merit (FOM) compared to known materials is of utmost importance for exploring their potential applications. A welldesigned evaluation should distinguish between good and poor models, avoid bias in the validation and testing set, and offer straightforward interpretable.” Funders for this research include Major Science and Technology Projects of Yunnan Precious Metals Laboratory, Yunnan Precious Metals Laboratory Science and Tech-nology Plan Project.
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai University
NETL
NSTL
Elsevier
