Package: qCBA 1.0.1

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.

Authors:Tomáš Kliegr [aut, cre]

qCBA_1.0.1.tar.gz
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qCBA.pdf |qCBA.html✨
qCBA/json (API)
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Peer review:

Bug tracker:https://github.com/kliegr/qcba/issues

On CRAN:

10 exports 11 stars 1.72 score 19 dependencies 12 scripts 400 downloads

Last updated 10 days agofrom:93c92ff965. Checks:OK: 7. Indexed: yes.

Exports:arulesCBA2arcCBAModelbenchmarkQCBAgetConfVectorForROCmapDataTypesqcbaqcbaHumTempqcbaIrisqcbaIris2rcbaModel2CBARuleModelsbrlModel2arcCBARuleModel

Dependencies:arcarulesarulesCBAcodetoolsdiscretizationforeachgenericsglmnetiteratorslatticeMatrixR.methodsS3R.ooR.utilsRcppRcppEigenrJavashapesurvival