measures (version 0.2)

FPR: False positive rate

Description

Percentage of misclassified observations in the positive class. Also called false alarm rate or fall-out.

Usage

FPR(truth, response, negative, positive)

Arguments

truth

vector of true values

response

vector of predicted values

negative

negative class

positive

positive class

Examples

# NOT RUN {
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
FPR(truth, response, negative, positive)
# }