Classification on Travel (Model Specific Accuracies)
85LR AccuracyOriginal
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OriginalData Source=Original Data2024.06 | 85 | 87 | 95 | 89 | |
| Original2024.06 | 84.29 | 86.91 | 87.43 | 86.21 | |
| P-TABackbone=GPT-22024.06 | 82.22 | 80.14 | 81.53 | 81.3 | |
| P-TABackbone=Neo2024.06 | 80.95 | 74.81 | 69.05 | 74.94 | |
| TVAE2024.06 | 80.64 | 80.9 | 80.92 | 81.01 | |
| GReaTBackbone=GPT-22024.06 | 79.11 | 74.68 | 75.31 | 76.37 | |
| GPT-Neo + GReaTGenerator=GPT-Neo, Synthesizer=GReaT2024.06 | 76 | 68 | 72 | 72 | |
| CTGAN2024.06 | 75.12 | 73.3 | 72.23 | 73.55 | |
| GReaTBackbone=Neo2024.06 | 74.82 | 72.73 | 75.04 | 74.19 | |
| CopulaGAN2024.06 | 74.23 | 75.61 | 74.23 | 74.69 | |
| GPT-2 + GReaTGenerator=GPT-2, Synthesizer=GReaT2024.06 | 69 | 65 | 68 | 67 | |
| GPT-2 + P-TAGenerator=GPT-2, Synthesizer=P-TA2024.06 | 62 | 73 | 63 | 66 | |
| GPT-Neo + P-TAGenerator=GPT-Neo, Synthesizer=P-TA2024.06 | 61 | 79 | 66 | 69 |