System and method for field value recommendations based on confidence levels in analyzed dataset
US11301766B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 22, 2020 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Dec 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N99/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.