Impact of data bias on machine learning for crystal compound synthesizability predictions

Impact of data bias on machine learning for crystal compound synthesizability predictions

Machine learning models are susceptible to being misled by biases in training data that emphasize incidental correlations over the intended learning task. In this study, we demonstrate the impact of data bias on the performance of a machine learning model designed to predict the likelihood of synthe...

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Bibliografiska uppgifter
Huvudupphovsmän: Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei
Materialtyp: Artikel
Språk:English
Publicerad: IOP Publishing 2024-01-01
Serie:Machine Learning: Science and Technology
Ämnen:
machine learning
data bias
synthesizability
crystal compounds
Länkar:https://doi.org/10.1088/2632-2153/ad9378

Internet

https://doi.org/10.1088/2632-2153/ad9378

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