公开(公告)号：US20220100593A1

公开(公告)日：2022-03-31

申请号：US17034427

申请日：2020-09-28

Applicant: Oath Inc.

Inventor： Eric Theodore Bax ,  Natalie Bax

IPC: G06F11/07 ,  G06N20/00 ,  G06F16/28

Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

公开(公告)号：US11467895B2

公开(公告)日：2022-10-11

申请号：US17034427

申请日：2020-09-28

Applicant: Oath Inc.

Inventor： Eric Theodore Bax ,  Natalie Bax

IPC: G06F16/30 ,  G06F11/07 ,  G06F16/28 ,  G06N20/00

Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.