Assignment WK5.docx - Benchmark \u2013 Classification Trees Madhuri Chaturvedula Grand Canyon University MIS 655 March 8th 2019 Question 1 Partition the

Assignment WK5.docx - Benchmark u2013 Classification Trees...

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Benchmark – Classification TreesMadhuri ChaturvedulaGrand Canyon University: MIS 655March 8th, 2019
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Question 1:Partition the data to create a training data set (70%) and test data set (30%).Solution: Below are screenshots showing the data setup (refer 1.0 Data Setup) and partitioning (refer 1.1 Partitioning Criteria)1.0 Data Setup1.1 Partitioning Criteria
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Question 2: Build a single classification tree with the training data and Default as the target. Include the "Default Tree Model" output when submitting the answer.
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2.2 Default Tree (2)1.Which variable(s) were used in the tree model?
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2.1.1 Fields used2.How would you use the model to predict whether or not the customer will default?
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3.What is the accuracy of the model when using the training and test data? Include the "Misclassification Table" outputs when submitting the answer.2.3.1 Accuracy of the model & Misclassification Table4.Consider the following individual: Limit_Balance=5000, Sex=Male, Education=High School, Marital_Status=Married, Age=30, Pay_Status1=On Time, Pay_Status2=On Time, Pay_Status3=2 Mths Late, Pay_Amt_Prev1=0, Pay_Amt_Prev2=0, Pay_Amt_Prev3=0,
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