Relative entropy D KL ( p ( x ∣ ∣ H 1 ) ∥ ∥ p ( x ∣ ∣ H 0 ) ) can also be interpreted as the expected discrimination information for H 1 over H 0 : the mean information per sample for discriminating in favor of a hypothesis H 1 against a hypothesis H 0 , when hypothesis H 1 is true. Another name for this quantity, given to it by I. J. Good, is the expected weight of evidence for H 1 over H 0 to be expected from each sample.