Answer the following True/False questions:
T F Pruning a model will generally improve the model’s 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.
Pruning a model will generally improve the model’s accuracy on the training set. > True Pruning can be effective at limiting the effects of noise. > True Decision Trees are robust to irrelevant and redundant features > True Minimum Description Length can be used to determine which pruned decision tree to choose amongst 20 alternatives? > True A good decision tree algorithm will always find the optimal decision tree. > False
Answer the following True/False questions: T F Pruning a model will generally improve the model’s accuracy...