Systems and methods for optimizing performance of machine learning model generation
US11494587B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 23, 2018 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Sep 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an embodiment, a method includes receiving a trigger of machine learning model generation. In addition, the method includes algorithmically eliminating at least some of rows and at least some of columns of a training dataset, the algorithmically eliminating yielding a size-reduced training dataset. The method additionally includes generating, for a prediction target, a plurality of machine learning models via a plurality of machine learning algorithms. The method also includes measuring prediction accuracies of the plurality of machine learning models relative to the prediction target. Furthermore, the method includes selecting a particular machine learning model. Moreover, the method includes applying the particular machine learning model to a data source.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.