Tabular Data Generation On California Housing
Métriques
DT Mean Squared Error
LR Mean Squared Error
Parameters(M)
RF Mean Squared Error
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | DT Mean Squared Error | LR Mean Squared Error | Parameters(M) | RF Mean Squared Error | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Binary Diffusion | 0.45 | 0.55 | 1.5 | 0.39 | Tabular Data Generation using Binary Diffusion | - |
| CTGAN | 0.82 | 0.61 | 0.197 | 0.62 | Modeling Tabular data using Conditional GAN | - |
| Distill-GReaT | 0.43 | 0.57 | 82 | 0.32 | Language Models are Realistic Tabular Data Generators | - |
| TVAE | 0.45 | 0.65 | 0.045 | 0.35 | Modeling Tabular data using Conditional GAN | - |
| CopulaGAN | 1.19 | 0.98 | 0.201 | 0.99 | Modeling Tabular data using Conditional GAN | - |
| GReaT | 0.39 | 0.34 | 355 | 0.28 | Language Models are Realistic Tabular Data Generators | - |
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