Cost curves: An improved method for visualizing classifier performance

  title={Cost curves: An improved method for visualizing classifier performance},
  author={Chris Drummond and Robert C. Holte},
  journal={Machine Learning},
This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possible class distributions and misclassification costs. Cost curves are shown to be superior to ROC curves for visualizing classifier performance for most purposes. This is because they visually support several crucial types of performance assessment that cannot be done easily with ROC curves, such as showing confidence intervals… CONTINUE READING
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Comparing classifiers when misclassification costs are uncertain

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