A decision procedure
tries to say whether some hypothesis
H holds or does not (usually based on some observed
data, O). If it says H does hold, it is said to give a positive
. If, in fact, H does not hold, this is a false positive.
For procedures that always decide in the positive or in the negative, there is usually a tradeoff between false negatives and false positives.
See also sensitivity.