1.1 Which question is best answered with a classification model?

a. What characteristics describe a person who purchases video games?

b. What is the average salary of a high school teacher?

c. Do single men play more golf than married men?

d. How many bicycles are predicted to be rented in Minneapolis this summer?

1.2 Which data would be desirable to include in the training set for a classification model?

a. Attributes with no predominate value

b. Cases have about the same chance of occurrence

c. Attributes with significant impact on outcomes

d. Default values that predict incorrect outcomes

1.3 How does a random forest determine a classification?

a. The underlying trees vote and the majority prediction value wins

b. The predictor is formed by taking the average over k of the trees

c. The classification of the strongest underlying tree is used

d. The classification with the highest bias and highest variance is selected

1.4 A random forest model overfits a training data set more compared to a single classification tree model.

true/false