summary.outliertree

Displays general statistics from a fitted Outlier Tree model (same as `print`).
For printing the outliers discovered, use function `print` on the returned outliers
(e.g. from `predict`), not on the model object iself.

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.

David Cortes

outliertree

Explainable Outlier Detection Through Decision Tree Conditioning

summary.outliertree function

<dl><dt>object</dt>
<dd>An Outlier Tree model as produced by function `outlier.tree`.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Print summary information from Outlier Tree model — summary.outliertree

<dl>

<dt>object</dt>
<dd>An Outlier Tree model as produced by function `outlier.tree`.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

summary.outliertree: Print summary information from Outlier Tree model

Description

Usage

Value

Arguments

See Also