Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?

8 Sep 2016Wei FuVivek NairTim Menzies

Context: One of the black arts of data mining is learning the magic parameters which control the learners. In software analytics, at least for defect prediction, several methods, like grid search and differential evolution (DE), have been proposed to learn these parameters, which has been proved to be able to improve the performance scores of learners... (read more)

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