Create a boosting ensemble classification tree model using the accompanying data set (predictor variables: x 1 to

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Create a boosting ensemble classification tree model using the accompanying data set (predictor variables: x1 to x4; target: y). 

a. What are the overall accuracy rate, sensitivity, and specificity of the model on the validation data? 

b. What is the AUC value of the model? 

c. Score a new record with the following values: x= 3.45, x2 = 1, x3 = 18, x4 = 5.80. How would the record be classified using the boosting ensemble tree model? What is the probability of the record belonging to Class 1?

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Business Analytics Communicating With Numbers

ISBN: 9781260785005

1st Edition

Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen

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