An empirical study for software change prediction using imbalanced data.

Ruchika Malhotra Megha Khanna

Published in: Empir. Softw. Eng. (2017)

Keyphrases

imbalanced data
prediction accuracy
ensemble methods
imbalanced datasets
ensemble classifier
feature selection
learning from imbalanced data
linear regression
class distribution
sampling methods
decision trees
random forest
support vector machine
base classifiers
non stationary
base learners
data sets