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precision computes proportion of observations predicted to be in the
positive class (i.e. the element in predicted equals 1)
that actually belong to the positive class (i.e. the element
in actual equals 1)
precision(actual, predicted)The ground truth binary numeric vector containing 1 for the positive class and 0 for the negative class.
The predicted binary numeric vector containing 1 for the positive
class and 0 for the negative class. Each element represents the
prediction for the corresponding element in actual.
# NOT RUN {
actual <- c(1, 1, 1, 0, 0, 0)
predicted <- c(1, 1, 1, 1, 1, 1)
precision(actual, predicted)
# }
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