Investigating class rarity in big data

Investigating class rarity in big data

Abstract In Machine Learning, if one class has a significantly larger number of instances (majority) than the other (minority), this condition is defined as class imbalance. With regard to datasets, class imbalance can bias the predictive capabilities of Machine Learning algorithms towards the major...

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Bibliographic Details
Main Authors: Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:Journal of Big Data
Subjects:
Big data
Class imbalance
Machine learning
Medicare fraud
POSTSlowloris
Class rarity
Online Access:http://link.springer.com/article/10.1186/s40537-020-00301-0

Internet

http://link.springer.com/article/10.1186/s40537-020-00301-0

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