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:
Feb. 17, 2026

Filed:

Aug. 26, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Lukasz G. Cmielowski, Cracow, PL;

Daniel Jakub Ryszka, Cracow, PL;

Wojciech Sobala, Cracow, PL;

Jan Soltysik, Cracow, PL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/04842 (2022.01); G06F 3/04847 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/04842 (2013.01); G06F 3/04847 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/40 (2023.01); G06N 20/10 (2019.01);
Abstract

The present disclosure relates to a method for generating a machine learning (ML) model. The method comprises: receiving a selection of a desired value of the metric for predicting a value of the first label attribute based on a current training dataset. Previously obtained sets of training settings may be used for determining a set of training settings that corresponds to the desired value of the metric. A ML engine may be controlled to generate using the current training dataset a machine learning model according to the determined set of training settings. The generated machine learning model may be deployed for performing predictions of values of the first label attribute.


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