FPR: False positive rate

In measures: Performance Measures for Statistical Learning

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

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)

measures documentation built on Jan. 19, 2021, 5:08 p.m.