confusion: Error rate and confusion matrix

In therimalaya/lplsReg: Package for lpls regression and classification

Description

The total error and the (g x g) confusion matrix for g-class classification problems

Usage

confusion(trueclass, predclass, labs)

Arguments

trueclass	The true classes
predclass	The predicted classes
labs	A vector of labels for the classes

Value

total.error	The total classification error
conf.matrix	The (g x g) confusion matrix

Author(s)

Solve Sæbø

Examples

data(BCdata)
confusion(factor(BCdata$Y), sample(c(0, 1), 130, replace = TRUE), c("0", "1"))

therimalaya/lplsReg documentation built on May 14, 2019, 8:36 a.m.