US 12,436,940 B2
Systems and methods for providing a nearest neighbors classification pipeline with automated dimensionality reduction
Michael Langford, Plano, TX (US)
Assigned to CAPITAL ONE SERVICES, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Mar. 7, 2024, as Appl. No. 18/598,276.
Application 18/598,276 is a continuation of application No. 18/060,737, filed on Dec. 1, 2022, granted, now 11,934,384.
Prior Publication US 2025/0077503 A1, Mar. 6, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/23 (2019.01); G06N 20/00 (2019.01)
CPC G06F 16/2365 (2019.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
one or more processors; and
a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
iteratively perform a binary search on a dataset to determine a reduced dimensionality having a total explained variance ratio closest to but not less than an explained variance threshold ratio;
reduce the dataset to the reduced dimensionality to generate a reduced dataset; and
train a machine learning model using the reduced dataset.