In: Statistics and Probability
Classification and Reg Tress + Association Rules
Question 11
The number of association rules increases
Additively with number of items
Multiplicatively with number of items
Exponentially with number of items
Question 12
If there are k items, number of association rules formed is formulated as :
3^k - 2^(k-1)
3^k - 2^(k+1) + 1
3^k - 2^(k+1) - 1
3^k - 2^(k-1) + 1
Question 13
Consider the rules A -> B, B -> A, where A, B are two items. Lift for both the rules is same. :
True
False
Question 14
Association rule mining is an unsupervised form of learning
True
False
Question 15
Which of the following options is a supervised form of learning
Clustering
Association rule mining
Regression
None of the above
Answer 11.
The number of association rules increases exponentially with number of items.
As can be seen from the formula of number of association rules, it is clear that there is an exponential increase in the number of rules to the number of item sets.
Answer 12.
If there are k items, number of association rules formed is formulated as : 3^k - 2^(k+1) + 1
This is the standard formula to calculate the number of association rules formed.
Answer 13.
Consider the rules A -> B, B -> A, where A, B are two items. Lift for both the rules is same. : True
Since the support and confidence of both items will still be similar, the lift for both the rules will be the same.
Answer 14.
Association rule mining is an unsupervised form of learning: True
Since there is no target variable when using association, we can say that this is unsupervised.
Answer 15.
Which of the following options is a supervised form of learning: Regression
Regression is done on a target variable, thus it is a supervised form of learning.