Automated decision analysis by model operational characteristic curves
US11443200B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 6, 2018 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Apr 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/4016
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Described are a system, method, and computer program product for optimizing a predictive condition classification model and automatically enacting reactive measures based thereon. The method includes receiving event data representative of a plurality of events. The method also includes receiving the predictive condition classification model configured to categorize each event as satisfying a condition or not. The predictive condition classification model is configured to order the plurality of events by likelihood of satisfying the condition. The method includes generating a performance evaluation dataset and plotting data configured to cause a visual display to represent at least two model performance metrics of the performance evaluation dataset on a same output plot. The method includes automatically rejecting a top percent of the plurality of events for suspected satisfaction of the condition, determined at least partially from a customized rejection algorithm or a preset rejection algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.