| Paper | Code | DT Accuracy | LR Accuracy | RF Accuracy | Parameters(M) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Tabular Data Generation using Binary Diffusion | ✓ Link | 88.9 | 83.79 | 89.95 | 1.1 | Binary Diffusion | 2024-09-20 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 83.56 | 80.1 | 84.3 | 355 | GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 81.68 | 79.58 | 81.68 | 0.036 | TVAE | 2019-07-01 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 77.38 | 78.53 | 79.5 | 82 | Distill-GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 73.61 | 73.3 | 73.3 | 0.157 | CopulaGAN | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 73.3 | 73.3 | 71.41 | 0.155 | CTGAN | 2019-07-01 |