| Paper | Code | DT Accuracy | LR Accuracy | Parameters(M) | RF Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Tabular Data Generation using Binary Diffusion | ✓ Link | 85.27 | 85.45 | 1.4 | 85.74 | Binary Diffusion | 2024-09-20 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 84.81 | 84.77 | 355 | 85.42 | GReaT | 2022-10-12 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 84.49 | 84.65 | 82 | 85.25 | Distill-GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 82.8 | 80.53 | 0.053 | 83.48 | TVAE | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 81.32 | 83.2 | 0.302 | 83.53 | CTGAN | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 76.29 | 80.61 | 0.300 | 80.46 | CopulaGAN | 2019-07-01 |