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:
Jul. 12, 2022

Filed:

Mar. 12, 2020
Applicant:

Numerify, Inc., San Jose, CA (US);

Inventors:

Rahul Kapoor, Bellevue, WA (US);

Govind Saria, Chandigarh, IN;

Assignee:

Digital.ai Software, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 20/00 (2019.01); G06K 9/62 (2022.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2013.01); G06K 9/6267 (2013.01);
Abstract

Systems and methods for training a machine learning (ML) model for predicting probabilities for binary outcomes to automatically generate positive class predictions close to an ideal one probability and negative class predictions close to an ideal zero probability are disclosed. The method includes generating a predictive probability (PP) curve based on a ML algorithm and transforming the PP curve into a curve with probabilities spread close to ideal one probability for positive class predictions (PCP) indicating successful prediction and close to ideal zero probability for negative class predictions (NCP) indicating failed prediction, thereby introducing a valley in the transformed probability curve separating PCP from NCP. The PP curve is transformed by one of (1) minimizing distance between: (a) ideal one probability and PP value of PCP; and (b) ideal zero probability and PP value of NCP, and (2) maximizing distance of PP values from center of PP curve.


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