(Solved): CIS 375 Quiz 4...

Quiz 4  

Question 1

1 / 1 pts

The idea behind the nearest-neighbor prediction is that if two items share some similarities, they are probably similar in other ways as well.Correct!

•   True
•   False

Question 2

1 / 1 pts

Euclidean distance, cosine distance, and Jaccard distance are different ways to measure similarity between objectsCorrect!

•   True
•   False 

 Question 3

1 / 1 pts

When we say we use a k-NN model, the "k" refers to the number of similarity measures employed in the model.

•   Trueorrect!
•   False

Question 4

1 / 1 pts

Nearest-neighbor methods often use weighted voting rather than majority voting because the contribution of each neighbor is not always the same

  True

  False

Question 5

1 / 1 pts

Similarity measures are not only useful in supervised data mining, but also in unsupervised data mining such as clustering analysis.

•   True 
•   False