Evaluating Synthetic Data — The Million Dollar Question

The ultimate goal of synthetic data generation is to create a dataset that acts as an entirely new, random sample from the same underlying distribution as the original. A "Maximum Similarity Test" is proposed to evaluate this by comparing how similar data points are to their neighbors within their own dataset versus in the