Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data

This article introduces a modular framework (SDB) for evaluating synthetic tabular data. The framework uses statistical, structural, and graph-based methods. The focus is on evaluating the quality of synthetic data, which is crucial for various AI applications.

• •Introduces a modular framework (SDB) for evaluating synthetic tabular data.
• •The framework uses statistical, structural, and graph-based methods.
• •Focuses on the quality of synthetic data, important for AI applications.