Systems and method for automating detection of regions of machine learning system underperformance
US11915109B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 15, 2022 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Sep 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method includes generating a trained decision tree with a set of nodes based on input data and a partitioning objective, and generating a modified decision tree by recursively passing the input data through the trained decision tree, recursively calculating, for each of the nodes, an associated set of metrics, and recursively defining an association between each of the nodes and the associated set of metrics. A node from a set of nodes of the modified decision tree is identified that violates a user-specified threshold value, associated with a user, for at least one of the metrics. The method also includes causing transmission of a signal to a compute device of the user, the signal including a representation of the identified node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.