Relational Data Synthesis on California Housing
1CSCMisata
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Misatainput=schema, fit+sample (s)=~0.12026.06 | 1 | 0 | 0 | 1 | |
| NaiveRescaleinput=schema, fit+sample (s)=~0.12026.06 | 1 | 0 | 0 | 1 | |
| Fakerinput=schema, fit+sample (s)=0.02026.06 | 1 | 0.493 | 0 | 1 | |
| SDV GaussianCopula (off-the-shelf)input=data, fit+sample (s)=~12026.06 | 0 | 0.739 | 0 | 1 | |
| SDV HMAinput=data, fit+sample (s)=~22026.06 | 0 | 0.739 | 0 | 1 | |
| SDV CTGANinput=data, fit+sample (s)=77 / seed2026.06 | 0 | 0.857 | 0 | 1 | |
| SDV GC, per-period conditioned (steelman)input=data, fit+sample (s)=~22026.06 | 0 | 0.189 | 0 | 1 |