Classification on Adult Income
87LR AccuracyGPT-Neo + P-TA
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| GPT-Neo + P-TAGenerator=GPT-Neo, Synthesizer=P-TA2024.06 | 87 | 71 | 87 | 82 | |
| Original2024.06 | 80.55 | 82.36 | 85.81 | 82.91 | |
| CTGAN2024.06 | 79.58 | 78.5 | 79.63 | 79.24 | |
| TVAE2024.06 | 77.45 | 79.6 | 79.6 | 78.88 | |
| CopulaGAN2024.06 | 76.79 | 72.44 | 77.46 | 75.56 | |
| P-TABackbone=Neo2024.06 | 76.56 | 79.67 | 80.44 | 78.89 | |
| GReaTBackbone=Neo2024.06 | 76.49 | 73.1 | 80.38 | 76.66 | |
| P-TABackbone=GPT-22024.06 | 76.27 | 73.27 | 79.82 | 76.45 | |
| GReaTBackbone=GPT-22024.06 | 75.69 | 73.17 | 79.79 | 76.22 | |
| OriginalData Source=Original Data2024.06 | 58 | 76 | 91 | 75 | |
| GPT-2 + P-TAGenerator=GPT-2, Synthesizer=P-TA2024.06 | 57 | 68 | 82 | 69 | |
| GPT-Neo + GReaTGenerator=GPT-Neo, Synthesizer=GReaT2024.06 | 54 | 70 | 86 | 70 | |
| GPT-2 + GReaTGenerator=GPT-2, Synthesizer=GReaT2024.06 | 54 | 70 | 86 | 70 |