ADAPTIVE MACHINE LEARNING THRESHOLD
    1.
    发明公开

    公开(公告)号:US20230316292A1

    公开(公告)日:2023-10-05

    申请号:US17708631

    申请日:2022-03-30

    Applicant: Stripe, Inc.

    CPC classification number: G06Q20/409 G06N20/20 G06Q20/401

    Abstract: In an example embodiment, a solution is provided wherein a threshold used by a classifier in a first machine learning model is dynamically set by a second machine learning model. More particularly, the threshold may be selected from two or more different threshold settings, based on the output of the second machine learning model. This acts to improve the reliability of predictions made by the first machine learning model in certain use cases where circumstances not adequately captured by the first machine learning model can affect the accuracy of the threshold used by the first machine learning model.

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