arulesCBA2arcCBAModel: arulesCBA2arcCBAModel Converts a model created by 'arulesCBA'...

In qCBA: Postprocessing of Rule Classification Models Learnt on Quantized Data

arulesCBA2arcCBAModel Converts a model created by arulesCBA so that it can be passed to qCBA

Description

Creates instance of arc CBAmodel class from the arc package Instance of CBAmodel can then be passed to qcba

Usage

arulesCBA2arcCBAModel(
  arulesCBAModel,
  cutPoints,
  rawDataset,
  classAtt,
  attTypes
)

Arguments

arulesCBAModel	aobject returned by arulesCBA::CBA()
cutPoints	specification of cutpoints applied on the data before they were passed to rCBA::build
rawDataset	the raw data (before discretization). This dataset is used to guess attribute types if attTypes is not passed
classAtt	the name of the class attribute
attTypes	vector of attribute types of the original data. If set to null, you need to pass rawDataset.

Examples

if (! requireNamespace("arulesCBA", quietly = TRUE)) {
 message("Please install arulesCBA: install.packages('arulesCBA')")
}  else {
## Not run: 
 classAtt <- "Species"
 discrModel <- discrNumeric(iris, classAtt)
 irisDisc <- as.data.frame(lapply(discrModel$Disc.data, as.factor))
 arulesCBAModel <- arulesCBA::CBA(Species ~ ., data = irisDisc, supp = 0.1, 
  conf=0.9)
 CBAmodel <- arulesCBA2arcCBAModel(arulesCBAModel, discrModel$cutp,  iris, classAtt)
 qCBAmodel <- qcba(cbaRuleModel=CBAmodel,datadf=iris)
 print(qCBAmodel@rules)
 
## End(Not run)
}

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