MCC {measures}

Matthews correlation coefficient

Description

Defined as (tp * tn - fp * fn) / sqrt((tp + fp) * (tp + fn) * (tn + fp) * (tn + fn)), denominator set to 1 if 0.

Usage

MCC(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
MCC(truth, response, negative, positive)