CBARuleModel-class

CBARuleModel

This class represents a rule-based classifier.

Implements the Classification-based on
Association Rules (CBA) algorithm for association rule classification.
The package, also described in Hahsler et al. (2019) <doi:10.32614/RJ-2019-048>,
contains several convenience methods that allow to automatically
set CBA parameters (minimum confidence, minimum support) and it also natively
handles numeric attributes by integrating a pre-discretization step.
The rule generation phase is handled by the 'arules' package.
To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the
'qCBA' package is suggested.

Tomas Kliegr

Association Rule Classification

CBARuleModel-class function

<dl>
<dt><code>rules</code></dt>
<dd>an object of class rules from arules package</dd></dl>
<dt><code>cutp</code></dt>
<dd>list of cutpoints</dd>
<dt><code>classAtt</code></dt>
<dd>name of the target class attribute</dd>
<dt><code>attTypes</code></dt>
<dd>attribute types</dd>

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CBARuleModel — CBARuleModel-class

<dl>
<dt><code>rules</code></dt>
<dd>an object of class rules from arules package</dd>


<dt><code>cutp</code></dt>
<dd>list of cutpoints</dd>


<dt><code>classAtt</code></dt>
<dd>name of the target class attribute</dd>


<dt><code>attTypes</code></dt>
<dd>attribute types</dd>


</dl>

CBARuleModel-class: CBARuleModel

Description

Arguments

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