📊 Showing 6 results | 📏 Metric: DT Accuracy
| Rank | Model | Paper | DT Accuracy | Date | Code |
|---|---|---|---|---|---|
| 1 | Distill-GReaT | Language Models are Realistic Tabular Data Generators | 81.40 | 2022-10-12 | 📦 kathrinse/be_great |
| 2 | GReaT | Language Models are Realistic Tabular Data Generators | 79.10 | 2022-10-12 | 📦 kathrinse/be_great |
| 3 | TVAE | Modeling Tabular data using Conditional GAN | 76.39 | 2019-07-01 | 📦 ydataai/ydata-synthetic 📦 DAI-Lab/CTGAN 📦 sdv-dev/CTGAN |
| 4 | Binary Diffusion | Tabular Data Generation using Binary Diffusion | 70.25 | 2024-09-20 | 📦 vkinakh/binary-diffusion-tabular |
| 5 | CTGAN | Modeling Tabular data using Conditional GAN | 61.34 | 2019-07-01 | 📦 ydataai/ydata-synthetic 📦 DAI-Lab/CTGAN 📦 sdv-dev/CTGAN |
| 6 | CopulaGAN | Modeling Tabular data using Conditional GAN | 42.36 | 2019-07-01 | 📦 ydataai/ydata-synthetic 📦 DAI-Lab/CTGAN 📦 sdv-dev/CTGAN |