Invention Grant
- Patent Title: Generating a predictive model from multiple data sources
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Application No.: US13048536Application Date: 2011-03-15
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Publication No.: US08990149B2Publication Date: 2015-03-24
- Inventor: Marius I. Danciu , Fan Li , Michael McRoberts , Jing-Yun Shyr , Damir Spisic , Jing Xu
- Applicant: Marius I. Danciu , Fan Li , Michael McRoberts , Jing-Yun Shyr , Damir Spisic , Jing Xu
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Konrad, Raynes, Davda and Victor LLP
- Agent Janaki K. Davda
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/00 ; G06Q10/06

Abstract:
Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
Public/Granted literature
- US20120239613A1 GENERATING A PREDICTIVE MODEL FROM MULTIPLE DATA SOURCES Public/Granted day:2012-09-20
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