Optimized decision tree based models
US10339465B2 · kind B2 · utility
9Cited by
21References
21Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2014 |
| Grant date | Jul 2, 2019 |
| Priority date | — |
| Expiry date | Jun 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
During a training phase of a machine learning model, representations of at least some nodes of a decision tree are generated and stored on persistent storage in depth-first order. A respective predictive utility metric (PUM) value is determined for one or more nodes, indicating expected contributions of the nodes to a prediction of the model. A particular node is selected for removal from the tree based at least partly on its PUM value. A modified version of the tree, with the particular node removed, is stored for obtaining a prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.