Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study

Cite

Text

Muggleton et al. "Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study." European Conference on Machine Learning, 2000. doi:10.1007/3-540-45164-1_32

Markdown

[Muggleton et al. "Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study." European Conference on Machine Learning, 2000.](https://mlanthology.org/ecmlpkdd/2000/muggleton2000ecml-measuring/) doi:10.1007/3-540-45164-1_32

BibTeX

@inproceedings{muggleton2000ecml-measuring,
  title     = {{Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study}},
  author    = {Muggleton, Stephen H. and Bryant, Christopher H. and Srinivasan, Ashwin},
  booktitle = {European Conference on Machine Learning},
  year      = {2000},
  pages     = {300-312},
  doi       = {10.1007/3-540-45164-1_32},
  url       = {https://mlanthology.org/ecmlpkdd/2000/muggleton2000ecml-measuring/}
}