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Abstract
Prediction and classification problems are increasingly relevant in the nowadays data-driven world. In this context, we highlight the relevance of outliers prediction. An outlier is an observation that distances itself from the bulk, which can be characterized, for example, as attempts at bank fraud or intrusions into a communications system that appear to be legitimate. In this sense, th…