Tabular Data Synthesis on SCM NN Prior
0.0241-WDUB
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| UBepsilon=1.0, degree hyperparameter=2-52026.06 | 0.024 | 0.042 | 0.065 | 0.083 | 0.119 | 0.156 | 0.192 | |
| AIMepsilon=1.0, degree hyperparameter=2-52026.06 | 0.024 | 0.042 | 0.064 | 0.094 | 0.129 | 0.165 | 0.201 | |
| PrivSynepsilon=1.0, degree hyperparameter=2-52026.06 | 0.028 | 0.065 | 0.108 | 0.149 | 0.201 | 0.256 | 0.309 | |
| Tab-PEepsilon=1.0, degree hyperparameter=2-52026.06 | 0.028 | 0.048 | 0.071 | 0.089 | 0.125 | 0.163 | 0.199 | |
| PrivMRFepsilon=1.0, degree hyperparameter=2-52026.06 | 0.03 | 0.051 | 0.076 | 0.093 | 0.131 | 0.171 | 0.211 | |
| PrivGSDepsilon=1.0, degree hyperparameter=2-52026.06 | 0.036 | 0.058 | 0.083 | 0.108 | 0.147 | 0.187 | 0.227 | |
| GEMepsilon=1.0, degree hyperparameter=2-52026.06 | 0.037 | 0.072 | 0.115 | 0.165 | 0.219 | 0.275 | 0.33 | |
| RAP++epsilon=1.0, degree hyperparameter=2-52026.06 | 0.05 | 0.086 | 0.119 | 0.137 | 0.179 | 0.221 | 0.263 |