Gretel Evaluate

Validate the quality of
your synthetic data with comprehensive evaluation.

Quick synthetic data evaluation for the metrics you care about.
Validate your synthetic data with comprehensive, customizable reports.
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What is Evaluate?

Understand your data with synthetic data evaluation.

Gretel Evaluate provides an out-of-the-box report on every model you train, so you can easily understand how your data performs on key metrics and compare results side by side.

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  • Synthetic Data Quality Scores (SQS)

    Measure how closely the generated data maintains the statistical properties of the original dataset.

  • Privacy Protection Levels (PPL)

    Show the tunable privacy levels of each synthetic model.

  • ML Quality Scores (MQS)

    Assess the performance of synthetic data on classification and regression models.

  • Gretel Benchmark

    An easy-to-use low-code tool that benchmarks multiple datasets against multiple synthetic models.

Benefits for Developers

  • Eliminate evaluation bottlenecks. Accelerate model development with faster data feedback loops.

  • Improve data comprehension. Get a deep understanding of the technical metrics that matter most in your data.

  • Increase operational efficiency. Easily compare synthetic models and datasets throughout the ML lifecycle.

Data Quality

Verify data meets quality standards.

  • We do the heavy lifting. Gain rapid insight into your synthetic data performance with a high-level composite Synthetic Data Quality Score (SQS).

  • Review data quality. Synthetic data evaluation ensures your synthetic data is as good—or better than—real-world data with statistical assurance verified with Principal Component Analysis (PCA).

  • No data field is overlooked. Correlation between every pair of fields is computed and compared between real-world training data and generated synthetic data.

Data Utility

Analyze data accuracy and performance.

  • At-a-glance reporting on data utility. See how your synthetic data compares to real-world data with a Machine Learning Quality Score (MQS).

  • Data analysis you can trust. Synthetic and real data are trained and evaluated on AutoML classification and regression models and the top models are compared.

Gretel Benchmark

Benchmark model performance.

  • Track experiments or monitor data drift by comparing multiple models and datasets with just 5 lines of code.

  • Get valuable measurements like Synthetic Data Quality Scores (SQS), dataset statistics, and training time all in one place.

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