Positive predictive value
= Positive predictive value
{title2=$P(E\mid+)$}
For a binary <classifier>, the <conditional probability> of the target condition given a positive classification. If its <base rate> is $p$, its true-positive <probability> is $s$, and its false-positive <probability> is $f$, <Bayes' theorem> gives $P(E\mid +)=sp/(sp+f(1-p))$. The denominator is positive whenever a positive classification can occur.