Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol

Damien Fourure, Muhammad Usama Javaid, Nicolas Posocco, Simon Tihon. Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol. In Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano, editors, Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV. Volume 12978 of Lecture Notes in Computer Science, pages 3-18, Springer, 2021. [doi]

@inproceedings{FourureJPT21,
  title = {Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol},
  author = {Damien Fourure and Muhammad Usama Javaid and Nicolas Posocco and Simon Tihon},
  year = {2021},
  doi = {10.1007/978-3-030-86514-6_1},
  url = {https://doi.org/10.1007/978-3-030-86514-6_1},
  researchr = {https://researchr.org/publication/FourureJPT21},
  cites = {0},
  citedby = {0},
  pages = {3-18},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV},
  editor = {Yuxiao Dong and Nicolas Kourtellis and Barbara Hammer and José Antonio Lozano},
  volume = {12978},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86514-6},
}