1. Describe how classification trees work.
2. Describe the overfitting and underfitting problems?
3. Compare and contrast various ways to choose the optimum size of the tree?
4. Provide unique examples of business situations that you would use classification trees for making decisions such as classifying your potential customers.
5. Describe when what are the advantages and disadvantages of using Naive Bayes Classifier or KNN vs classification trees.

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