Optimizing abstaining classifiers using ROC analysis

  title={Optimizing abstaining classifiers using ROC analysis},
  author={Tadeusz Pietraszek},
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are often set in a rather ad-hoc manner. We propose a method to optimally build a specific type of abstaining binary classifiers using ROC analysis. These classifiers are built based on optimization criteria in the following three models: cost-based, bounded-abstention and bounded-improvement. We demonstrate the usage and… CONTINUE READING
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