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

2007; IEEE Computer Society; Volume: 33; Issue: 9 Linguagem: Inglês

10.1109/tse.2007.70721

2326-3881

Tim Menzies, Alex Dekhtyar, Justin Distefano, Jeremy Greenwald,

Imbalanced Data Classification Techniques

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.