Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"

Abstract

Zhang and Zhang argue that predictors are useless unless they have high precison&recall. We have a different view, for two reasons. First, for SE data sets with large neg/pos ratios, it is often required to lower precision to achieve higher recall. Second, there are many domains where low precision detectors are useful.

DOI: 10.1109/TSE.2007.70721

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An Empirical Investigation of Tree Ensembles in Biometrics and Bioinformatics

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The Effect of Oversampling and Undersampling on Classifying Imbalanced Text Datasets, " master's thesis

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