A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr, Douglas G. Manuel. A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms. BMC Med. Inf. & Decision Making, 20(1):4, 2020. [doi]

@article{CarringtonFQHCM20,
  title = {A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms},
  author = {André M. Carrington and Paul W. Fieguth and Hammad Qazi and Andreas Holzinger and Helen H. Chen and Franz Mayr and Douglas G. Manuel},
  year = {2020},
  doi = {10.1186/s12911-019-1014-6},
  url = {https://doi.org/10.1186/s12911-019-1014-6},
  researchr = {https://researchr.org/publication/CarringtonFQHCM20},
  cites = {0},
  citedby = {0},
  journal = {BMC Med. Inf. & Decision Making},
  volume = {20},
  number = {1},
  pages = {4},
}