You're trying to predict the choice of initial management strategy of prostate cancer. The predicted probabilities at one terminal node are:

Active Surveillance	0.5
Surgery	0.3
Radiation	0.2

The Gini index for this terminal node is

Select one:

a. 0.16

b. 0.21

c. 0.25

d. 0.38

e. 0.50

f. 0.62

You grow a binary classification tree with 2 terminal nodes. The probabilities of the positive outcome at these 2 terminal nodes (named A and B) are

A: 0.2 B: 0.8

Select one:

a. Node A has a smaller entropy value than node B.

b. Node A has the same entropy value as node B.

c. Node A has a larger entropy value than node B.

Bagging grows a large number of trees by

Select one:

a. drawing random subsamples of the training set and then growing an unpruned tree on each subsample

b. drawing random subsamples of the test set and then growing an unpruned tree on each subsample

c. drawing random subsamples of the predictors and then growing an unpruned tree on each subsample

d. growing one unpruned tree and then randomly pruning it

e. growing one unpruned tree and then randomly changing the split values at each node

f. growing one unpruned tree and then randomly perturbing the predicted values at each terminal node

Tree bagging uses ____ random forests. [Multiple-answer question: check all answers you think are correct]

Select one or more:

a. fewer observations than

b. the same number of observations as

c. more observations than

d. fewer predictors at each split

e. the same number of predictors at each split as

f. more predictors at each split