schneiderkamplab / syntheval Goto Github PK
View Code? Open in Web Editor NEWSoftware for evaluating the quality of synthetic data compared with real data.
License: MIT License
Software for evaluating the quality of synthetic data compared with real data.
License: MIT License
Hello! Firstly, thank you for creating this wonderful library!
I had a question regarding the DCR privacy metric implementation.
In your paper and code, you compare the median DCR of (synthetic, train) and (train, train) distances.
I was wondering if you considered comparing the median DCR of (synthetic, train) and (holdout, train)? I have usually seen this version (page 4 in ref), and I was wondering if you had any insights into why (train, train) was used.
I am using the DCR metric in a project and wanted to know if a holdout dataset should be used or not.
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