Please I need the answers to the following question, it is true and false question, It is from data mining subject:

1-The lower-level core patterns of a colossal pattern are called core descendants ( )

2-When there are no tuples for a given branch, we must split the attribute. ( )

3-if P(X|yes) = 0.057 and P(X|no)= 0.091 then the nave Bayesian classifier predicts no. ( )

4-Classification prediction is used to predict how much a given customer will spend during a sale. ( )

5-The following constraint count(S) <= v is a Antimonotone ( )

6-Pattern fusion strategy fuses a small number of longer frequent patterns into colossal pattern candidates. ( )

7-Rare patterns are patterns with components that exhibit negatively correlated behavior. ( )

Thanks in advanced