Supplementary Material for
On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study
by G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, I. Assent and M. E. Houle
Data Mining and Knowledge Discovery 30(4): 891-927, 2016, DOI: 10.1007/s10618-015-0444-8

Normalized data without duplicates, Datasets with less or equal 20% outliers

Average best performance of all methods, per data set.
Best results were always chosen by ROC AUC performance.

Adjusted Average Precision

Average Precision

Adjusted Precision@n


Adjusted Maximum F1

Maximum F1