Information Theory, Kelly Betting, Risk, Reward, Commission, and Omission: An Example Problem in Breast Cancer

@article{Dalton2014InformationTK,
  title={Information Theory, Kelly Betting, Risk, Reward, Commission, and Omission: An Example Problem in Breast Cancer},
  author={L. W. Dalton},
  journal={IEEE Access},
  year={2014},
  volume={2},
  pages={1272-1280}
}
In binary classification, two-way confusion matrices, with corresponding measures, such as sensitivity and specificity, have become so ubiquitous that those who review results may not realize there are other and more realistic ways to visualize data. This is, particularly, true when risk and reward considerations are important. The approach suggested here… CONTINUE READING