Error rate and confusion matrix

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

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

Examples

data(BCdata)
confusion(factor(BCdata$Y), sample(c(0, 1), 130, replace = TRUE), c("0", "1"))
#> $total.error
#> [1] 0.4769231
#> 
#> $conf.matrix
#>    0  1
#> 0 29 35
#> 1 27 39
#>