outliertree
Explainable Outlier Detection Through Decision Tree Conditioning
Outlier detection method that flags suspicious values within observations, contrasting 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) doi:10.48550/arXiv.2001.00636. Loosely based on the 'GritBot' https://www.rulequest.com/gritbot-info.html software.
- Version1.10.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release09/06/2024
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David Cortes
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