💡 Download the complete guide to AI-generated synthetic data!
Go to the ebook

Accuracy

Synthetic data needs to be accurate, i.e. as close as possible to real-word data so that it is very hard to distinguish between the real and the synthetic data. Accuracy is often evaluated by comparing the real and synthetic distributions of the variables and the correlations among them.

Ready to try synthetic data generation?

The best way to learn about synthetic data is to experiment with synthetic data generation. Try it for free or get in touch with our sales team for a demo.
magnifiercross