qcbaHumTemp

<p>Learns a CBA classifier and performs all QCBA postprocessing steps.</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

qcbaHumTemp: Use the HumTemp dataset to test the one rule classification QCBA workflow.

Description

Usage

Arguments

Value