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


Data set related to heart diseases. It describes 3 classes: normal, suspect, or pathological. Normal patients are treated as inliers and the remaining as outliers.

Download all data set variants (8.8 MB). Access original data (CTG.xls)