Explainable Outlier Detection Through Decision Tree Conditioning
Description
Outlier detection method that flags suspicious values within observations,
constrasting them against the normal values in a user-readable format, potentially
describing conditions within the data that make a given outlier more rare.
Full procedure is described in Cortes (2020) .
Loosely based on the 'GritBot' software.