Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study
JMIR Medical Informatics2022Vol. 10(4), pp. e35734–e35734
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Abstract
This study has validated a generative model utility metric, the multivariate Hellinger distance, which can be used to reliably rank competing SDG methods on the same data set. The Hellinger distance metric can be used to evaluate and compare alternate SDG methods.
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