Defining n = ∆A + ∆B, the precision of the rule is q = ∆A/n.
the precision of the new classifier is Q t+1 = (A + ∆A)/N t+1 , which can be written as: the precision of the new classifier is a weighted average of the precision of the old classifier and the precision of the new rule.