Boosting the Area Under the ROC Curve

NeurIPS 2007 pp. 945-952

/neurips/2007/long2007neurips-boosting/

Abstract

We show that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 (which can be achieved by random guessing) can be efﬁ- ciently boosted to achieve an area under the ROC curve arbitrarily close to 1. We further show that this boosting can be performed even in the presence of indepen- dent misclassiﬁcation noise, given access to a noise-tolerant weak ranker.

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Cite

Text

Long and Servedio. "Boosting the Area Under the ROC Curve." Neural Information Processing Systems, 2007.

Markdown

[Long and Servedio. "Boosting the Area Under the ROC Curve." Neural Information Processing Systems, 2007.](https://mlanthology.org/neurips/2007/long2007neurips-boosting/)

BibTeX

@inproceedings{long2007neurips-boosting,
  title     = {{Boosting the Area Under the ROC Curve}},
  author    = {Long, Phil and Servedio, Rocco},
  booktitle = {Neural Information Processing Systems},
  year      = {2007},
  pages     = {945-952},
  url       = {https://mlanthology.org/neurips/2007/long2007neurips-boosting/}
}