FNR {measures}

False negative rate

Description

Percentage of misclassified observations in the negative class.

Usage

FNR(truth, response, negative, positive)

Arguments

truth

vector of true values

response

vector of predicted values

negative

negative class

positive

positive class

Examples

n = 20
set.seed(125)
truth = as.factor(sample(c(1,0), n, replace = TRUE))
probabilities = runif(n)
response = as.factor(as.numeric(probabilities > 0.5))
positive = 1
negative = 0
FNR(truth, response, negative, positive)