Conditional entropy

In information theory, the conditional entropy (or equivocation) quantifies the remaining entropy (i.e. uncertainty) of a random variable Y given that the value of a second random variable X is known. It is referred to as the entropy of Y conditional on X, and is written H(Y | X). Like other entropies, the conditional entropy is measured in bits, nats, or hartleys.