This study analyzes evaluation measures for rare event detection. We introduce a procedure which is built upon the characteristics of rare events. We propose properties for evaluation measures which assess the measure applicability to classification of rare events. Prevention of leaks of personal health information supports the empirical evidence. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sokolova, M., El Emam, K., Chowdhury, S., Neri, E., Rose, S., & Jonker, E. (2010). Evaluation of rare event detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6085 LNAI, pp. 379–383). https://doi.org/10.1007/978-3-642-13059-5_51
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