The meaning of multi-class classification rules
(Cheat, No) will be selected (cheat will be classified as No) for the rule (Refund, No). 


In a binary response variable like cheat, all the information can be inferred from just the first rule: 

(Refund, No) → (Cheat, No) Support = 0.4, Confidence = 0.57 


The other rule is redundant. 

However, in the case of a multi-class response variable, we would like to have all the rules written out so we exactly know the likelihood of the rule implying each of the different classes in the response variable. To keep things consistent, this is also done for the case when the response variable is binary.