Question

1. Characterize each of the following technical problems as (Numeric) Prediction, Classification, Association Rules, Cluster Analysis, Description. Write your answer above. (1 pt each)

1. Decide if a Netflix customer will cancel their subscription in the next year.
2. Determine the number of soybean farms in Iowa on January 1, 2010 (the date of the last US Census.)                                             

c) You have a dataset with recent house prices and characteristics for a given area. Assess the market value of a new house just recently offered for sale.

                                  

d) Divide up the market for a new car your company has developed, based on the results of a survey of their attitudes and desires.                                                          

e) Identify which combinations of attractions at the Disney World theme park are frequently visited in a single day.

f) You have a record of wine sales per month in Australia for the past 10 years. Predict the sales level for the next year.

Answer 1

a. Classification ; because answer to this question will be Yes or No

b. Numeric prediction : because it is regression type of problem.

c. Description : because we just want to assess and not to predict the market value of a home already offered for sale.

d. Cluster analysis : because the data points are being classified based on similarity in characteristics.

e. Association rules : because identifying combinations of attraction is similar to identifying frequent item set in the typical association rule problem setting.

f. Numeric prediction : because it is regression type question.