Amazon AI Research Presents A Formal Method To Locate Root Causes Of Outliers

Rare observations where a system deviates from its typical behavior are known as outliers. They appear in numerous real-world applications (such as medicine and finance) and necessitate more explanation than regular occurrences. Outliers in the training dataset can cause problems during a model fitting in machine learning (esp., linear models). It may also result in inflated error metrics that give larger errors more weight. As a result, it is necessary to treat outliers and determine their root cause before developing a machine learning model.