Consider bootstrap aggregation, or bagging, of classification trees. Which of the following statements about bagging in this context is the only one that is not true?

a) Bagging fits a classification tree to each of a collection of bootstrap samples of the training data and finds the proportion of trees predicting each class at each data point.

b) The structures of the trees for each bootstrap sample tend to be very similar, although predicted classifications from each tree can vary widely.

c) The predicted class for a particular data point based on the bagged trees is the class with the highest proportion of trees predicting that class.

d) It is possible to gauge the importance of each predictor when bagging classification trees.