A large-scale study of the impact of feature selection techniques on defect classification models

Baljinder Ghotra
Baljinder Ghotra

MSR, pp. 146-157, 2017.

Cited by: 40|Bibtex|Views10|Links
EI

Abstract:

The performance of a defect classification model depends on the features that are used to train it. Feature redundancy, correlation, and irrelevance can hinder the performance of a classification model. To mitigate this risk, researchers often use feature selection techniques, which transform or select a subset of the features in order to...More

Code:

Data:

Your rating :
0

 

Tags
Comments