customCBARuleModel-class

customCBARuleModel

This class represents an CBA rule-based classifier, where rules are represented as string vectors in a data frame

CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.

Tomas Kliegr

qCBA

Quantitative Classification by Association Rules

customCBARuleModel-class function

<dl class="dl-horizontal">
<dt><code>rules</code></dt><dd>dataframe output by rCBA</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>

customCBARuleModel-class: rCBARuleModel

Description

Arguments

Slots