extract.training.outliers

Extracts outliers from a model generated by `outlier.tree` if
it was passed parameter `save_outliers` = `TRUE`.

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) <arXiv:2001.00636>.
Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.

David Cortes

outliertree

Explainable Outlier Detection Through Decision Tree Conditioning

extract.training.outliers function

<dl><dt>outlier_tree_model</dt>
<dd>An Outlier Tree object as returned by `outlier.tree`.</dd></dl>

Arguments

Extract outliers found in training data — extract.training.outliers

<dl>

<dt>outlier_tree_model</dt>
<dd>An Outlier Tree object as returned by `outlier.tree`.</dd>

</dl>

extract.training.outliers: Extract outliers found in training data

Description

Usage

Value

Arguments