Differentially Private Tabular Synthetic Data Generation on SCM simulation NN prior (test)
96.58AccuracyUB
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| UBPrior=NN, epsilon=1.02026.06 | 96.58 | 96.58 | 0.119 | 0.156 | 0.192 | 98.02 | 97.77 | |
| Tab-PEPrior=NN, epsilon=1.02026.06 | 89.36 | 96.37 | 0.125 | 0.163 | 0.199 | 98.57 | 81.27 | |
| AIMPrior=NN, epsilon=1.02026.06 | 85.23 | 93.26 | 0.129 | 0.168 | 0.207 | 93.1 | 98.36 | |
| RAP++Prior=NN, epsilon=1.02026.06 | 85.16 | 93.06 | 0.179 | 0.221 | 0.263 | 94 | 21.81 | |
| PrivMRFPrior=NN, epsilon=1.02026.06 | 84.78 | 92.75 | 0.131 | 0.171 | 0.211 | 92.89 | 98.41 | |
| PrivGSDPrior=NN, epsilon=1.02026.06 | 82.47 | 90.86 | 0.147 | 0.187 | 0.227 | 84.96 | 91.17 | |
| GEMPrior=NN, epsilon=1.02026.06 | 74.26 | 82.61 | 0.219 | 0.275 | 0.33 | 57.55 | 98.24 | |
| PrivSynPrior=NN, epsilon=1.02026.06 | 51.97 | 50.59 | 0.204 | 0.255 | 0.306 | 66.31 | 97.93 |