Extrapolation validation (EV): a universal validation method for mitigating machine learning extrapolation risk
Mengxian Yu, Yin‐Ning Zhou, Qiang Wang, Fangyou Yan
Abstract
A generic machine learning model validation method named extrapolation validation (EV) has been proposed, which evaluates the trustworthiness of model predictions to mitigate the extrapolation risk before the model transitions to applications.
Topics & Concepts
ExtrapolationTrustworthinessComputer scienceCross-validationMachine learningModel validationArtificial intelligenceStatisticsMathematicsData scienceComputer securityExplainable Artificial Intelligence (XAI)Adversarial Robustness in Machine LearningMachine Learning in Materials Science