The actual Cardiotocography (Cardio) dataset from UCI machine learning repository consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians. This is a classification dataset, where the classes are normal, suspect, and pathologic. For outlier detection, The normal class formed the inliers, while the pathologic (outlier) class is downsampled to 176 points. The suspect class is discarded.