Investigating the relationship between time and predictive model maintenance

Investigating the relationship between time and predictive model maintenance

Abstract A majority of predictive models should be updated regularly, since the most recent data associated with the model may have a different distribution from that of the original training data. This difference may be critical enough to impact the effectiveness of the machine learning model. In o...

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Bibliographic Details
Main Authors: Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Journal of Big Data
Subjects:
Model maintenance
Big data
Class imbalance
Machine learning
Undersampling
Online Access:http://link.springer.com/article/10.1186/s40537-020-00312-x

Internet

http://link.springer.com/article/10.1186/s40537-020-00312-x

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