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Improving software fault prediction in imbalanced datasets using the under-sampling approach.
Golnoush Abaei
Wen Zhong Tah
Jason Zhern Wee Toh
Ethan Sheng Jian Hor
Published in:
ICSCA (2022)
Keyphrases
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imbalanced datasets
learning from imbalanced data
software quality
cost sensitive learning
class distribution
imbalanced data
class imbalance
ensemble methods
random forest
feature selection algorithms
training dataset
sampling methods