Synthesizer utility comparison.

We compare and rank all synthesizers by their ability to generate quality training data and evaluation data for machine learning pipelines. The comparison presented accounts for synthetic data generated with privacy-loss parameter ϵ = 5.0. In addition to present a performance ranking for Adult, COMPAS data and COMPAS (fair) data, we show a comparison of model AUC measured in TSTR mode—AUC(R), and model AUC measured in TSTS mode—AUC(S).