Quality Metrics

Quality metrics capture the statistical similarity between real data and synthetic data. If the synthetic and real data are statistically similar, we refer to the synthetic data as being high quality.

We intend the quality metrics to be aspirational. While it may not always be possible to achieve 100% quality on all metrics, optimizing them can benefit your downstream synthetic data use case.

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Apply these metrics to individual columns and tables in your data:

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