Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets

Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets

In the medical field, many outcome variables are dichotomized, and the two possible values of a dichotomized variable are referred to as classes. A dichotomized dataset is class-imbalanced if it consists mostly of one class, and performance of common classification models on this type of dataset ten...

Full description

Bibliographic Details
Main Author: Paul H. Lee
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
automated classifier
data mining
decision tree
oversampling
predictive power
rare events
Online Access:http://www.mdpi.com/1660-4601/11/9/9776

Internet

http://www.mdpi.com/1660-4601/11/9/9776

Similar Items