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Browsing by Subject "random forest"

Browsing by Subject "random forest"

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  • Monden, Akito; Keung, Jacky; Morisaki, Shuji; Kamei, Yasutaka; Matsumoto, Ken-Ichi (IEEE, 2012)
    Background: Association rules are more comprehensive and understandable than fault-prone module predictors (such as logistic regression model, random forest and support vector machine). One of the challenges is that there ...
  • Terdchanakul, Pannavat; Hata, Hideaki; Phannachitta, Passakorn; Matsumoto, Kenichi (IEEE, 2017)
    Previous studies have found that a significant number of bug reports are misclassified between bugs and nonbugs, and that manually classifying bug reports is a time-consuming task. To address this problem, we propose a bug ...