1. Suppose that you have a dataset that has four numeric attributes. Consider the following two objects in the dataset:

O1 = <3, 2, 0, 2>, O2 = <1, 4, 2, 0>

Which of the following is closest to the cosine similarity between the two objects? Choose one.

a.0.153

b.0.175

c.0.457

d.0.582

2:True or False? Suppose you have a dataset from which you want to build a classifier model. Then, the dataset must have a class attribute.

True

False

3: v1 = <35, 27, 14, 76, 84, 95>. Which of the following pairs of values are closest to the mean and the sample variance of the variable? Choose one.

a.average = 55.17, variance = 33.90

b.average = 55.17, variance = 30.95

c.average = 55.17, variance = 1149.37

d.average = 55.17, variance =957.81

4: True or False? Suppose you have a dataset on which you want to apply a clustering algorithm. Then, the dataset must have a class attribute.

True

False