5) According to the Descriptive and Unsupervised Learning lecture, what best describes dissimilar preferences for products and services between customer segments?

a)Diversity within the segment

b)Heterogeneity between the segments

c)Velocity within the segment

d)Confusion between the products

6)According to the Descriptive and Unsupervised Learning lecture, what are companies seeking to understand about their customers?

a)Customer churn

b)Growth potential

c)Companies are seeking to understand all of these

d)Propensity to buy

7) According to the Descriptive and Unsupervised Learning lecture, the data point that best describes all members within a cluster is called what?

a)Altoid

b)Part correlation

c)Partial correlation

d)Centroid

8) As discussed in the Supervised Learning lecture, it is important to evaluate classification results using what?

a)Business Matrix

b)SWOT Analysis

c)Classification Matrix

d)Confusion Matrix

9) According to the Supervised Learning lecture, what is the goal of classification?

a)Find natural groups as you explore the data.

b)Find questions that are separated as thresholds as purely as possible.

c)Find the attributes and thresholds to split the data such that the targets are separated as purely as possible.

d)Find targets that are as mixed up as possible.