Systems and methods for machine learning models for performance measurement
US11227184B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2021 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Mar 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0282
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.