Evaluation
Objective Relevance
Assess whether synthetic data retains the utility needed for specific downstream tasks and analytical objectives.
Beyond Fidelity
Downstream Task Performance
Train models on synthetic data and evaluate on real data to measure how well utility transfers.
Feature Importance Preservation
Verify that the predictive power of key features remains intact in the synthetic dataset.
Query Answer Consistency
Compare answers to analytical queries run on real vs. synthetic data to ensure decision-making alignment.
