Positive predictive value
Defined as: tp / (tp + fp). Also called precision. If the denominator is 0, PPV is set to be either 1 or 0 depending on whether the highest probability prediction is positive (1) or negative (0).
PPV(truth, response, positive, probabilities = NULL)
truth |
vector of true values |
response |
vector of predicted values |
positive |
positive class |
probabilities |
[numeric] vector of predicted probabilities |
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 PPV(truth, response, positive, probabilities = NULL)
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