Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications

Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley. Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. In Hujun Yin, Wenjia Wang, Victor J. Rayward-Smith, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Volume 6936 of Lecture Notes in Computer Science, pages 252-261, Springer, 2011. [doi]

@inproceedings{MakhtarNR11,
  title = {Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications},
  author = {Mokhairi Makhtar and Daniel Neagu and Mick J. Ridley},
  year = {2011},
  doi = {10.1007/978-3-642-23878-9_31},
  url = {http://dx.doi.org/10.1007/978-3-642-23878-9_31},
  researchr = {https://researchr.org/publication/MakhtarNR11},
  cites = {0},
  citedby = {0},
  pages = {252-261},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings},
  editor = {Hujun Yin and Wenjia Wang and Victor J. Rayward-Smith},
  volume = {6936},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-23877-2},
}