Tabular Data Generation on Diabetes

Metric: RF Accuracy (higher is better)

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#	Model↕	RF Accuracy▼	Extra Data	Paper	Date↕	Code
1	GReaT	0.5834	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
2	Distill-GReaT	0.5803	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
3	Binary Diffusion	0.5752	No	Tabular Data Generation using Binary Diffusion	2024-09-20	Code
4	TVAE	0.5517	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
5	CTGAN	0.5223	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
6	CopulaGAN	0.3759	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code

#1GReaTSOTA
0.5834
RF Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#2Distill-GReaT
0.5803
RF Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#3Binary Diffusion
0.5752
RF Accuracy· 2024-09-20
Tabular Data Generation using Binary Diffusion Code
#4TVAESOTA
0.5517
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#5CTGAN
0.5223
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#6CopulaGAN
0.3759
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code