Tabular GANs for Uneven Distribution

Insaf Ashrapov

doi:10.20944/preprints202010.0101.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 1 October 2020 / Approved: 5 October 2020 / Online: 5 October 2020 (17:45:43 CEST)

GANs are well known for success in the realistic image gen-eration. However, they can be applied in tabular data generation as well.We will review and examine some recent papers about tabular GANs inaction. We will generate data to make train distribution bring closer tothe test. Then compare model performance trained on the initial traindataset, with trained on the train with GAN generated data, also wetrain the model by sampling train by adversarial training. We show thatusing GAN might be an option in case of uneven data distribution be-tween train and test data

deep learning; gans; tabular data

Computer Science and Mathematics, Algebra and Number Theory

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Tabular GANs for Uneven Distribution

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