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公开(公告)号:US20240362490A1
公开(公告)日:2024-10-31
申请号:US18769503
申请日:2024-07-11
发明人: Spiridon Zarkov , Chuxin Liao , Anubhav Narang
CPC分类号: G06N3/088 , G06F16/2379 , G06N3/04 , G06N3/044 , G06N3/045 , G06Q20/4016 , G06Q30/0201
摘要: Provided is a computer-implemented method for generating a machine learning model to classify an account based on merchant activation, including providing an input to a generator network of a generative adversarial network (GAN) to generate an output; providing the output as input to a discriminator network; providing a training dataset as input to the discriminator network; and updating the generator network based on a first output of the discriminator network having a label that indicates whether a set of values of each of the plurality of features is a real set of values or a fake set of values. The method may include updating the discriminator network based on a second output of the discriminator network having a label that indicates whether a selected account of the plurality of accounts is going to conduct a first payment transaction. A system and computer program product are also provided.