False negative rate
Percentage of misclassified observations in the negative class.
FNR(truth, response, negative, positive)
truth |
vector of true values |
response |
vector of predicted values |
negative |
negative class |
positive |
positive class |
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)
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