Confidence score generation for boosting-based tree machine learning models
US11816550B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2020 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Nov 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices and techniques are generally described for generating confidence scores for boosting-based tree machine learning models. In various examples, a first record comprising a plurality of input variables may be received. In another example, a boosting-based tree machine learning model may generate, for the first record, a base model score. In various examples, the base model score may be generated based on the plurality of input variables and the base model score may represent a likelihood that the first record is associated with a first class. In some examples, a score confidence machine learning model may generate a confidence score for the first record. The confidence score may indicate a confidence in the base model score. In various examples, the first record may be processed based at least in part on the confidence score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.