getConfVectorForROC: Returns vector with confidences for the positive class...

In qCBA: Quantitative Classification by Association Rules

Description

Methods for computing ROC curves require a vector of confidences of the positive class, while in qCBA, the confidence returned by predict.qCBARuleModel with outputProbabilies = TRUE returns confidence for the predicted class. This method converts the values to confidences for the positive class

Usage

getConfVectorForROC(confidences, predictedClass, positiveClass)

Arguments

confidences	Vector of confidences
predictedClass	Vector with predicted classes
positiveClass	Positive class (String)

Value

Vector of confidence values

Examples

predictedClass = c("setosa","virginica")
confidences = c(0.9,0.6)
baseClass="setosa"
getConfVectorForROC(confidences,predictedClass,baseClass)

qCBA documentation built on Nov. 19, 2020, 9:07 a.m.