Evaluation
Statistical Similarity
Measure how closely synthetic data matches the statistical properties of the original dataset.
Measuring Fidelity
Marginal Distribution Fidelity
Compare column-wise distributions using KS tests, Wasserstein distance, and percentile alignment.
Joint Distribution Integrity
Evaluate multivariate relationships and correlation structures to ensure dependencies are preserved.
Summary Statistic Parity
Verify that key descriptive statistics — means, variances, skewness — align between real and synthetic data.
