measures (version 0.2)

BER: Balanced error rate

Description

Mean of misclassification error rates on all individual classes.

Usage

BER(truth, response)

Arguments

truth

vector of true values

response

vector of predicted values

Examples

# NOT RUN {
n = 20
set.seed(122)
truth = as.factor(sample(c(1,2,3), n, replace = TRUE))
response = as.factor(sample(c(1,2,3), n, replace = TRUE))
BER(truth, response)
# }