Dealing with Class Skew in Context Recognition

@article{Stger2006DealingWC,
  title={Dealing with Class Skew in Context Recognition},
  author={Mathias St{\"a}ger and Paul Lukowicz and Gerhard Tr{\"o}ster},
  journal={26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)},
  year={2006},
  pages={58-58}
}
As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the issue of performance evaluation in the face of class skew (varying, unequal occurrence of individual classes), which is common for many context recognition problems. We propose to use ROC curves and Area Under the Curve (AUC) instead of the more commonly used accuracy to better account for class skew. The main… CONTINUE READING
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