qcbaIris

<p>Learns a CBA classifier and performs all QCBA postprocessing steps
This function uses a package-specific seed option, which can be overridden 
with `options(qcba.seed = 42)`, where 42 is an example seed value</p>

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.

Tomas Kliegr

qCBA

Postprocessing of Rule Classification Models Learnt on Quantized
Data

qcbaIris: Use the iris dataset to the test QCBA workflow.

Description

Usage

Arguments

Value