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公开(公告)号：US20220366043A1
公开(公告)日：2022-11-17
申请号：US17238248
申请日：2021-04-23
Applicant: Booz Allen Hamilton Inc.
Inventor： Robert J. JOYCE , Edward RAFF
Abstract: Disclosed are methods and apparatuses for classifier evaluation. The evaluation involves constructing a ground truth refinement having a degree of error within specified bounds from a malware reference dataset as an approximate ground truth refinement. The evaluation further involves using the approximate ground truth refinement to determine at least one of: a lower bound on precision or an upper bound on recall and accuracy. The evaluation further involves evaluating a classifier by evaluating at least one of a classification method or clustering method by examining changes to the upper bound and/or the lower bound produced by the approximate ground truth refinement.
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