Question 1

Consider the case where model deployment options envisioned by the predictive modeling team are not supported by the organization. This issue is more related to

A. Database experts not being involved

B. Domain experts not being involved

C. All of the selections are false

D. Predictive modeling experts not being involved

Question 2

What issue is resolved during the business understanding stage?

A. How predictive models be can be deployed operationally

B. How business objectives can be quantified

C. What data is available to quantify the business objectives

D. All selections are correct

Question 3

When do we need to define measures of success for predictive models?

A. When the purpose of the model is to provide highly accurate predictions

B. When we don't have to compare accuracy levels to choose a model

C. When the purpose of the model is the interpretation of the business

D. None of the statements are correct

Question 4

Consider the data from a hospital, what would be a unit of analysis?

A. The doctor who attend the customer's appointment

B. A customer of the hospital

C. The number of visits from the customer until the last appointment

D. The date of the appointment

Question 5

Data for predictive modeling must be two-dimensional comprised of rows and columns. What does each row of the data represent?

A. Descriptors

B. Unit of analysis

C. Attributes

D. Variables