The original Statlog (Shuttle) dataset from UCI machine learning repository is a multi-class classification dataset with dimensionality 9. Here, the training and test data are combined. The smallest five classes, i.e. 2, 3, 5, 6, 7 are combined to form the outliers class, while class 1 forms the inlier class. Data for class 4 is discarded.

Shuttle is available on Aftershock and normal observations are available in the included training dataset consisting of 9 dimensions per observation. During evaluation, the main program of your submission is expected to access /ingress/shuttle/testing.csv which has the same form as the development dataset and produce sequentially aligned anomaly confidence values (in [0, 1]) at /egress/shuttle/predictions.csv.