A large-scale study of the impact of feature selection techniques on defect classification models
MSR, pp. 146-157, 2017.
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
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