Confidence score generation for boosting-based tree machine learning models

    公开(公告)号:US11816550B1

    公开(公告)日:2023-11-14

    申请号:US16933215

    申请日:2020-07-20

    CPC classification number: G06N20/20 G06N5/01 G06N5/04

    Abstract: Devices and techniques are generally described for generating confidence scores for boosting-based tree machine learning models. In various examples, a first record comprising a plurality of input variables may be received. In another example, a boosting-based tree machine learning model may generate, for the first record, a base model score. In various examples, the base model score may be generated based on the plurality of input variables and the base model score may represent a likelihood that the first record is associated with a first class. In some examples, a score confidence machine learning model may generate a confidence score for the first record. The confidence score may indicate a confidence in the base model score. In various examples, the first record may be processed based at least in part on the confidence score.

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