Question: Using the eBay auction data (file eBayAuctions.xls) with variable Competitive as the target, partition the data into training ((50 %)), validation ((30 %)) and test

Using the eBay auction data (file eBayAuctions.xls) with variable Competitive as the target, partition the data into training $(50 \%)$, validation $(30 \%)$ and test sets $(20 \%)$.

a. Run a classification tree, setting the minimum number of records in terminal nodes to 0 . Looking at the test set, what is the overall accuracy? What is the lift on the first decile?

b. Run the same tree with the boosting option selected. For the test set, what is the overall accuracy? What is the lift on the first decile?

c. Now try the same tree with the bagging option selected. For the test set, what is the overall accuracy? What is the lift on the first decile?

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