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outliertree: Explainable Outlier Detection Through Decision Tree Conditioning
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) <doi:10.48550/arXiv.2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
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Package details |
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| Author | David Cortes [aut, cre] |
| Maintainer | David Cortes <david.cortes.rivera@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.10.0 |
| URL | https://github.com/david-cortes/outliertree |
| Package repository | View on CRAN |
| Installation |
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