Capital One ML Patent: Dataset Performance Change Using Machine Learning
Summary
The USPTO granted US Patent 12608446B2 to Capital One Services, LLC covering methods for determining performance change within datasets using machine learning models. The patent addresses training machine learning models on control datasets and applying test datasets to detect performance shifts attributable to applied conditions. The patent was filed December 21, 2021, with Application No. 17557599, and contains 14 claims.
What changed
The USPTO issued Patent 12608446B2 to Capital One Services, LLC for methods determining performance shifts in datasets due to applied conditions using machine learning. The invention trains an ML model on a control dataset and uses it with a test dataset to isolate performance changes attributable to specific conditions versus environmental factors.
Competitors developing similar ML-based dataset performance monitoring systems should review the patent claims to assess potential licensing needs or design-around options. The patent's broad claim scope covering two-dataset comparison methods for detecting condition-induced performance changes may capture a wide range of analytics implementations.
Archived snapshot
Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Determining performance change within a dataset with an applied condition using machine learning models
Grant US12608446B2 Kind: B2 Apr 21, 2026
Assignee
Capital One Services, LLC
Inventors
Tong Niu, Abhishek Kumar Shrivastava, Ruoyu Shao
Abstract
Methods and systems are disclosed for determining a performance shift due to an applied condition, excluding other, e.g., environmental, factors. One mechanism for determining a performance shift due to an applied condition involves using two datasets (e.g., a control dataset and a test dataset) for two different populations. A training dataset is used to train a machine learning model to build a control dataset to be used in a second machine learning model together with a test dataset to determine whether a performance shift between the two datasets is due to the condition that was applied to the test dataset.
CPC Classifications
G06N 20/20 G06N 3/08 G06N 5/01 G06N 7/01 G06N 20/00 G06F 18/217 G06F 18/214
Filing Date
2021-12-21
Application No.
17557599
Claims
14
Mentioned entities
Parties
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