Could Fairgen reliably augment all underrepresented segments?
Yes, Fairgen could reliably augment all 18 niche segments by at least 2x using predictive synthetic data.
In order to conclude that, we've used a public available survey of 18,000 rows investigating political preferences of UK residents. Fairgen was trained on a small fraction of it (1,000 rows), and the sub-segments of interest were analyzed.
The median was very low, below 2%, and the quartiles were close together, showing that Fairgen could remove edge cases. It performed better than a real sample twice as big as the trained one, showing that Fairgen could effectively predict and augment each niche by at least 2x.