Synthesized includes several methods to assess the privacy, quality and utility of generated data. These can be used to answer three related questions:
Privacy: how much sensitive and private information from the original data can be extracted from the generated data?
Statistical Quality: does the generated data closely resemble the original data, and maintain the statistical properties and correlations?
Predictive Utility: does the generated data maintain the predictive performance for an ML classification/regression task?