Identifying predictive models resistant to concept drift
US9171253B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2013 |
| Grant date | Oct 27, 2015 |
| Priority date | — |
| Expiry date | Sep 26, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of classifiers is identified. A set of test cases is selected based on time. The set of test cases are grouped into a plurality of datasets based on time where each of the plurality of datasets is associated with a corresponding interval of time. Each of the plurality of classifiers is applied to each of the plurality of datasets to generate classifications for test cases in each of the plurality of datasets. For each of the plurality of classifiers, a classification performance score is determined for each of the plurality of datasets based on the classifications generated for the test cases of each dataset. A classifier is selected from among the plurality of classifiers for production based on the classification performance scores of each of the plurality of classifiers across the plurality of datasets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.