Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan. Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. In Ramon López de Mántaras, Enric Plaza, editors, Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings. Volume 1810 of Lecture Notes in Computer Science, pages 300-312, Springer, 2000. [doi]
@inproceedings{MuggletonBS00,
title = {Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study},
author = {Stephen Muggleton and Christopher H. Bryant and Ashwin Srinivasan},
year = {2000},
url = {http://link.springer.de/link/service/series/0558/bibs/1810/18100300.htm},
tags = {case study},
researchr = {https://researchr.org/publication/MuggletonBS00},
cites = {0},
citedby = {0},
pages = {300-312},
booktitle = {Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings},
editor = {Ramon López de Mántaras and Enric Plaza},
volume = {1810},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-67602-3},
}