The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 11, 2022

Filed:

Sep. 22, 2018
Applicant:

Securonix, Inc., Los Angeles, CA (US);

Inventors:

Igor A. Baikalov, Thousand Oaks, CA (US);

Joseph Samuel Miller, Dallas, TX (US);

Tanuj Gulati, Carrollton, TX (US);

Rakesh Palacherla, Dallas, TX (US);

Assignee:

Securonix, Inc., LosAngeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 20/20 (2019.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06K 9/623 (2013.01); G06K 9/6215 (2013.01); G06K 9/6257 (2013.01); G06K 9/6282 (2013.01);
Abstract

A method of explaining the reasons for a prediction made by a machine learning ensemble prediction process as to the probability of an outcome for a target observation following training on a plurality of training observations determines the similarity between the target observation and each training observation of a set of said training observations; selects a fraction of the training observations that are most similar to said target observation; ranks the training observations by similarity of each training observation to the target observation; and determines the significance of the features of the ranked training observations to the prediction based upon the increase in variance in a local prediction model when a feature is removed from the local model.


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