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cond-mat.mtrl-sci2023
Identification of high-reliability regions of machine learning predictions in materials science using transparent conducting oxides and perovskites as examples
Evan M. Askanazi, Emanuel A. Lazar, Ilya Grinberg
Progress in the application of machine learning (ML) methods to materials design is hindered by the lack of understanding of the reliability of ML predictions, in particular for th…
cond-mat.mtrl-sci2023★ 2 cited
Distance-based Analysis of Machine Learning Prediction Reliability for Datasets in Materials Science and Other Fields
Evan Askanazi, Ilya Grinberg
Despite successful use in a wide variety of disciplines for data analysis and prediction, machine learning (ML) methods suffer from a lack of understanding of the reliability of pr…