Metrics Glossary

Each metric in this section quantifies a different aspect of the synthetic data.
Browse by data granularity
Different metrics compare data at various levels of granularity.
Single Column
Column Pairs
Single Table
Multi Table
These metrics compare single columns of data.
​CategoryCoverage, RangeCoverage: measure data coverage
​BoundaryAdherence: compare min/max ranges
​KSComplement, TVComplement: compare shapes (aka marginal distributions, histograms)
​StatisticSimilarity, MissingValueSimilarity: compare data statistics
These metrics compare pairs of columns.
​ContingencySimilarity: compare 2D distributions
​CorrelationSimilarity: compare pairwise correlations
These metrics compare a table of data.
​NovelRowSynthesis: compute exact matches
​CategoricalCAP: measure privacy against inference attacks
These metrics compare multiple tables of data.
​CardinalityShapeSimilarity: compare parent/child connections
Browse by report
We recommend applying the metrics using SDMetrics Reports. Reports determine which exact metrics to use based on your data.
Quality Metrics
Diagnostic Metrics
Other Metrics
These metrics are included in the Quality Report.
​KSComplement, TVComplement: compare shapes (aka marginal distributions, histograms)
​ContingencySimilarity, CorrelationSimilarity: compare 2D distributions & pairwise correlations
(Multi table only) CardinalityShapeSimilarity: compare parent/child connections
These metrics are included in the Diagnostic Report.
​CategoryCoverage, RangeCoverage: measure data coverage
​BoundaryAdherence: compare min/max ranges
​NovelRowSynthesis: compute exact matches
These metrics are not yet included in any reports. You can still apply them manually on your data.
​MissingValueSimilarity: compare data statistics
​CategoricalCAP: measure privacy against inference attacks
More Metrics
Can't find what you're looking for? Check out the Metrics in Beta for additional options.
Last modified 1mo ago