Meaningfully explaining black-box machine learning models
US11645581B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2020 |
| Grant date | May 9, 2023 |
| Priority date | — |
| Expiry date | Apr 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented machines, systems and methods for providing insights about a machine learning model, the machine learning model trained, during a training phase, to learn patterns to correctly classify input data associated with risk analysis. Analyzing one or more features of the machine learning model, the one or more features being defined based on one or more constraints associated with one or more values and relationships and whether said one or more values and relationships satisfy at least one of the one or more constraints. Displaying one or more visual indicators based on an analysis of the one or more features and training data used to train the machine learning model, the one or more visual indicators providing a summary of the machine learning model's performance or efficacy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.