qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data

Implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The result of the post-processing is an ordered CBA-like rule list.

Getting started

Package details

AuthorTomáš Kliegr [aut, cre]
MaintainerTomáš Kliegr <kliegr@gmail.com>
LicenseGPL-3
Version1.0.2
URL https://github.com/kliegr/QCBA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("qCBA")

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qCBA documentation built on April 12, 2025, 1:59 a.m.