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This paper predicts the default behavior of the financial market, reduces the bad debt rate in bank loans and securities investment, and discovers potential risks in time. The currently used technologies mainly rely on models with static weights, such as simple linear models. The advantage of these algorithms is that they are fast. But in a large number of samples, these algorithms also face inaccurate problems, requiring the use of machine learning modeling methods to train models. This paperdoi:10.25236/ajcis.2022.050311 fatcat:mqpd2lok6bb2pp3mzvat5sirwm