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:
May. 30, 2023

Filed:

Jan. 31, 2018
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Sara Beth Asher, Atherton, CA (US);

John Emery Ball, San Francisco, CA (US);

Vitaly Gordon, Sunnyvale, CA (US);

Till Christian Bergmann, San Mateo, CA (US);

Kin Fai Kan, Sunnyvale, CA (US);

Chalenge Masekera, Oakland, CA (US);

Shubha Nabar, Sunnyvale, CA (US);

Nihar Dandekar, Sunnyvale, CA (US);

James Reber Lewis, San Francisco, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/02 (2023.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/02 (2013.01); G06N 5/04 (2013.01);
Abstract

A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.


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