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Tabular Data Generation On Adult Census
Metrics
DT Accuracy
LR Accuracy
Parameters(M)
RF Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| Binary Diffusion | 85.27 | 85.45 | 1.4 | 85.74 | Tabular Data Generation using Binary Diffusion | |
| GReaT | 84.81 | 84.77 | 355 | 85.42 | Language Models are Realistic Tabular Data Generators | |
| Distill-GReaT | 84.49 | 84.65 | 82 | 85.25 | Language Models are Realistic Tabular Data Generators | |
| TVAE | 82.8 | 80.53 | 0.053 | 83.48 | Modeling Tabular data using Conditional GAN | |
| CTGAN | 81.32 | 83.2 | 0.302 | 83.53 | Modeling Tabular data using Conditional GAN | |
| CopulaGAN | 76.29 | 80.61 | 0.300 | 80.46 | Modeling Tabular data using Conditional GAN |
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