Tabular Data Generation on HELOC

Metric: RF Accuracy (higher is better)

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#	Model↕	RF Accuracy▼	Extra Data	Paper	Date↕	Code
1	Distill-GReaT	82.14	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
2	GReaT	80.93	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
3	TVAE	77.24	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
4	Binary Diffusion	70.47	No	Tabular Data Generation using Binary Diffusion	2024-09-20	Code
5	CTGAN	62.35	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
6	CopulaGAN	42.35	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code

#1Distill-GReaTSOTA
82.14
RF Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#2GReaT
80.93
RF Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#3TVAESOTA
77.24
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#4Binary Diffusion
70.47
RF Accuracy· 2024-09-20
Tabular Data Generation using Binary Diffusion Code
#5CTGAN
62.35
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#6CopulaGAN
42.35
RF Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code