Answer the following True/False questions:

T F Pruning a model will generally improve the models accuracy on the training set.

T F Pruning can be effective at limiting the effects of noise.

T F Decision Trees are robust to irrelevant and redundant features

T F Minimum Description Length can be used to determine which pruned decision tree to choose amongst 20 alternatives?

T F A good decision tree algorithm will always find the optimal decision tree.