TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Tabular Data Generation	Adult Census Income	CTGAN	LR Accuracy	83.2	# 4
Tabular Data Generation	Adult Census Income	CTGAN	DT Accuracy	81.32	# 5
Tabular Data Generation	Adult Census Income	CTGAN	RF Accuracy	83.53	# 4
Tabular Data Generation	Adult Census Income	CTGAN	Parameters(M)	0.302	# 3
Tabular Data Generation	Adult Census Income	CopulaGAN	LR Accuracy	80.61	# 5
Tabular Data Generation	Adult Census Income	CopulaGAN	DT Accuracy	76.29	# 6
Tabular Data Generation	Adult Census Income	CopulaGAN	RF Accuracy	80.46	# 6
Tabular Data Generation	Adult Census Income	CopulaGAN	Parameters(M)	0.300	# 2
Tabular Data Generation	Adult Census Income	TVAE	LR Accuracy	80.53	# 6
Tabular Data Generation	Adult Census Income	TVAE	DT Accuracy	82.8	# 4
Tabular Data Generation	Adult Census Income	TVAE	RF Accuracy	83.48	# 5
Tabular Data Generation	Adult Census Income	TVAE	Parameters(M)	0.053	# 1
Tabular Data Generation	California Housing Prices	TVAE	Parameters(M)	0.045	# 1
Tabular Data Generation	California Housing Prices	TVAE	RF Mean Squared Error	0.35	# 3
Tabular Data Generation	California Housing Prices	TVAE	LR Mean Squared Error	0.65	# 5
Tabular Data Generation	California Housing Prices	TVAE	DT Mean Squared Error	0.45	# 3
Tabular Data Generation	California Housing Prices	CopulaGAN	Parameters(M)	0.201	# 3
Tabular Data Generation	California Housing Prices	CopulaGAN	RF Mean Squared Error	0.99	# 6
Tabular Data Generation	California Housing Prices	CopulaGAN	LR Mean Squared Error	0.98	# 6
Tabular Data Generation	California Housing Prices	CopulaGAN	DT Mean Squared Error	1.19	# 6
Tabular Data Generation	California Housing Prices	CTGAN	Parameters(M)	0.197	# 2
Tabular Data Generation	California Housing Prices	CTGAN	RF Mean Squared Error	0.62	# 5
Tabular Data Generation	California Housing Prices	CTGAN	LR Mean Squared Error	0.61	# 4
Tabular Data Generation	California Housing Prices	CTGAN	DT Mean Squared Error	0.82	# 5
Tabular Data Generation	Diabetes	CTGAN	LR Accuracy	0.5093	# 5
Tabular Data Generation	Diabetes	CTGAN	DT Accuracy	0.4973	# 5
Tabular Data Generation	Diabetes	CTGAN	RF Accuracy	0.5223	# 5
Tabular Data Generation	Diabetes	CTGAN	Parameters(M)	9.6	# 4
Tabular Data Generation	Diabetes	CopulaGAN	LR Accuracy	0.4027	# 6
Tabular Data Generation	Diabetes	CopulaGAN	DT Accuracy	0.385	# 6
Tabular Data Generation	Diabetes	CopulaGAN	RF Accuracy	0.3759	# 6
Tabular Data Generation	Diabetes	CopulaGAN	Parameters(M)	9.4	# 3
Tabular Data Generation	Diabetes	TVAE	LR Accuracy	0.5634	# 4
Tabular Data Generation	Diabetes	TVAE	DT Accuracy	0.5330	# 4
Tabular Data Generation	Diabetes	TVAE	RF Accuracy	0.5517	# 4
Tabular Data Generation	Diabetes	TVAE	Parameters(M)	0.359	# 1
Tabular Data Generation	HELOC	TVAE	LR Accuracy	71.04	# 3
Tabular Data Generation	HELOC	TVAE	DT Accuracy	76.39	# 3
Tabular Data Generation	HELOC	TVAE	RF Accuracy	77.24	# 3
Tabular Data Generation	HELOC	TVAE	Parameters(M)	62	# 4
Tabular Data Generation	HELOC	CopulaGAN	LR Accuracy	42.03	# 6
Tabular Data Generation	HELOC	CopulaGAN	DT Accuracy	42.36	# 6
Tabular Data Generation	HELOC	CopulaGAN	RF Accuracy	42.35	# 6
Tabular Data Generation	HELOC	CopulaGAN	Parameters(M)	0.276	# 1
Tabular Data Generation	HELOC	CTGAN	LR Accuracy	57.72	# 5
Tabular Data Generation	HELOC	CTGAN	DT Accuracy	61.34	# 5
Tabular Data Generation	HELOC	CTGAN	RF Accuracy	62.35	# 5
Tabular Data Generation	HELOC	CTGAN	Parameters(M)	0.277	# 2
Tabular Data Generation	SICK	TVAE	LR Accuracy	94.7	# 4
Tabular Data Generation	SICK	TVAE	DT Accuracy	95.39	# 3
Tabular Data Generation	SICK	TVAE	RF Accuracy	94.91	# 4
Tabular Data Generation	SICK	TVAE	Parameters(M)	0.046	# 1
Tabular Data Generation	SICK	CopulaGAN	LR Accuracy	94.57	# 5
Tabular Data Generation	SICK	CopulaGAN	DT Accuracy	93.77	# 5
Tabular Data Generation	SICK	CopulaGAN	RF Accuracy	94.57	# 5
Tabular Data Generation	SICK	CopulaGAN	Parameters(M)	0.226	# 3
Tabular Data Generation	SICK	CTGAN	LR Accuracy	94.44	# 6
Tabular Data Generation	SICK	CTGAN	DT Accuracy	92.05	# 6
Tabular Data Generation	SICK	CTGAN	RF Accuracy	94.57	# 5
Tabular Data Generation	SICK	CTGAN	Parameters(M)	0.222	# 2
Tabular Data Generation	Travel	TVAE	LR Accuracy	79.58	# 3
Tabular Data Generation	Travel	TVAE	DT Accuracy	81.68	# 3
Tabular Data Generation	Travel	TVAE	RF Accuracy	81.68	# 3
Tabular Data Generation	Travel	TVAE	Parameters(M)	0.036	# 1
Tabular Data Generation	Travel	CTGAN	LR Accuracy	73.3	# 5
Tabular Data Generation	Travel	CTGAN	DT Accuracy	73.3	# 6
Tabular Data Generation	Travel	CTGAN	RF Accuracy	71.41	# 6
Tabular Data Generation	Travel	CTGAN	Parameters(M)	0.155	# 2
Tabular Data Generation	Travel	CopulaGAN	LR Accuracy	73.3	# 5
Tabular Data Generation	Travel	CopulaGAN	DT Accuracy	73.61	# 5
Tabular Data Generation	Travel	CopulaGAN	RF Accuracy	73.3	# 5
Tabular Data Generation	Travel	CopulaGAN	Parameters(M)	0.157	# 3

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	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/modeling-tabular-data-using-conditional-gan/tabular-data-generation-on-travel)](https://paperswithcode.com/sota/tabular-data-generation-on-travel?p=modeling-tabular-data-using-conditional-gan)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/modeling-tabular-data-using-conditional-gan/tabular-data-generation-on-adult-census)](https://paperswithcode.com/sota/tabular-data-generation-on-adult-census?p=modeling-tabular-data-using-conditional-gan)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/modeling-tabular-data-using-conditional-gan/tabular-data-generation-on-diabetes)](https://paperswithcode.com/sota/tabular-data-generation-on-diabetes?p=modeling-tabular-data-using-conditional-gan)`

Modeling Tabular data using Conditional GAN

NeurIPS 2019 · Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni ·

Modeling the probability distribution of rows in tabular data and generating realistic synthetic data is a non-trivial task. Tabular data usually contains a mix of discrete and continuous columns. Continuous columns may have multiple modes whereas discrete columns are sometimes imbalanced making the modeling difficult. Existing statistical and deep neural network models fail to properly model this type of data. We design TGAN, which uses a conditional generative adversarial network to address these challenges. To aid in a fair and thorough comparison, we design a benchmark with 7 simulated and 8 real datasets and several Bayesian network baselines. TGAN outperforms Bayesian methods on most of the real datasets whereas other deep learning methods could not.

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ydataai/ydata-synthetic

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glederrey/datgan

oregonpillow/ctgan-server-cli

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Generative Adversarial Network

Tabular Data Generation

Datasets

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SDGym

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SICK Adult Census Income Diabetes California Housing Prices HELOC Travel

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Ranked #1 on Tabular Data Generation on California Housing Prices

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Task	Dataset	Model	Metric Name	Metric Value	Global Rank	Benchmark
Tabular Data Generation	Adult Census Income	CTGAN	LR Accuracy	83.2	# 4	Compare
			DT Accuracy	81.32	# 5	Compare
			RF Accuracy	83.53	# 4	Compare
			Parameters(M)	0.302	# 3	Compare
Tabular Data Generation	Adult Census Income	CopulaGAN	LR Accuracy	80.61	# 5	Compare
			DT Accuracy	76.29	# 6	Compare
			RF Accuracy	80.46	# 6	Compare
			Parameters(M)	0.300	# 2	Compare
Tabular Data Generation	Adult Census Income	TVAE	LR Accuracy	80.53	# 6	Compare
			DT Accuracy	82.8	# 4	Compare
			RF Accuracy	83.48	# 5	Compare
			Parameters(M)	0.053	# 1	Compare
Tabular Data Generation	California Housing Prices	TVAE	Parameters(M)	0.045	# 1	Compare
			RF Mean Squared Error	0.35	# 3	Compare
			LR Mean Squared Error	0.65	# 5	Compare
			DT Mean Squared Error	0.45	# 3	Compare
Tabular Data Generation	California Housing Prices	CopulaGAN	Parameters(M)	0.201	# 3	Compare
			RF Mean Squared Error	0.99	# 6	Compare
			LR Mean Squared Error	0.98	# 6	Compare
			DT Mean Squared Error	1.19	# 6	Compare
Tabular Data Generation	California Housing Prices	CTGAN	Parameters(M)	0.197	# 2	Compare
			RF Mean Squared Error	0.62	# 5	Compare
			LR Mean Squared Error	0.61	# 4	Compare
			DT Mean Squared Error	0.82	# 5	Compare
Tabular Data Generation	Diabetes	CTGAN	LR Accuracy	0.5093	# 5	Compare
			DT Accuracy	0.4973	# 5	Compare
			RF Accuracy	0.5223	# 5	Compare
			Parameters(M)	9.6	# 4	Compare
Tabular Data Generation	Diabetes	CopulaGAN	LR Accuracy	0.4027	# 6	Compare
			DT Accuracy	0.385	# 6	Compare
			RF Accuracy	0.3759	# 6	Compare
			Parameters(M)	9.4	# 3	Compare
Tabular Data Generation	Diabetes	TVAE	LR Accuracy	0.5634	# 4	Compare
			DT Accuracy	0.5330	# 4	Compare
			RF Accuracy	0.5517	# 4	Compare
			Parameters(M)	0.359	# 1	Compare
Tabular Data Generation	HELOC	TVAE	LR Accuracy	71.04	# 3	Compare
			DT Accuracy	76.39	# 3	Compare
			RF Accuracy	77.24	# 3	Compare
			Parameters(M)	62	# 4	Compare
Tabular Data Generation	HELOC	CopulaGAN	LR Accuracy	42.03	# 6	Compare
			DT Accuracy	42.36	# 6	Compare
			RF Accuracy	42.35	# 6	Compare
			Parameters(M)	0.276	# 1	Compare
Tabular Data Generation	HELOC	CTGAN	LR Accuracy	57.72	# 5	Compare
			DT Accuracy	61.34	# 5	Compare
			RF Accuracy	62.35	# 5	Compare
			Parameters(M)	0.277	# 2	Compare
Tabular Data Generation	SICK	TVAE	LR Accuracy	94.7	# 4	Compare
			DT Accuracy	95.39	# 3	Compare
			RF Accuracy	94.91	# 4	Compare
			Parameters(M)	0.046	# 1	Compare
Tabular Data Generation	SICK	CopulaGAN	LR Accuracy	94.57	# 5	Compare
			DT Accuracy	93.77	# 5	Compare
			RF Accuracy	94.57	# 5	Compare
			Parameters(M)	0.226	# 3	Compare
Tabular Data Generation	SICK	CTGAN	LR Accuracy	94.44	# 6	Compare
			DT Accuracy	92.05	# 6	Compare
			RF Accuracy	94.57	# 5	Compare
			Parameters(M)	0.222	# 2	Compare
Tabular Data Generation	Travel	TVAE	LR Accuracy	79.58	# 3	Compare
			DT Accuracy	81.68	# 3	Compare
			RF Accuracy	81.68	# 3	Compare
			Parameters(M)	0.036	# 1	Compare
Tabular Data Generation	Travel	CTGAN	LR Accuracy	73.3	# 5	Compare
			DT Accuracy	73.3	# 6	Compare
			RF Accuracy	71.41	# 6	Compare
			Parameters(M)	0.155	# 2	Compare
Tabular Data Generation	Travel	CopulaGAN	LR Accuracy	73.3	# 5	Compare
			DT Accuracy	73.61	# 5	Compare
			RF Accuracy	73.3	# 5	Compare
			Parameters(M)	0.157	# 3	Compare

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