What is the difference between a random forest and a single decision tree?

Select one:

a. Random forests use more features to make a prediction than decision trees.

b. Random forests use random samples of the training data, while decision trees use the entire training set.

c. Random forests make more accurate predictions than decision trees.

d. Random forests make use of multiple decision trees, while decision trees only use one

Clear my choice