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measures (version 0.3)

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

Run this code
# 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)
# }

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