EconPapers    
Economics at your fingertips  
 

Logistic Regression Collaborating with AI Beam Search

Daniel M. Ph.D. Tom

No qv76j, OSF Preprints from Center for Open Science

Abstract: We systematically explore the universe of all models using AI search methods. We automate much of the data preparation and testing of each model built along the way. The result is a method and system that generate superior production ready logistic regression models, beating an industry standard consumer credit risk score, GBM and NN ML models. We also incorporate into our system a method to eliminate disparate impact used by the FRB and the FTC.

Date: 2023-03-07
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/6404bd6dc74723015e10b3dd/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:qv76j

DOI: 10.31219/osf.io/qv76j

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().

 
Page updated 2025-03-19
Handle: RePEc:osf:osfxxx:qv76j