Question: For Analytic Solver, partition data sets into 60% training and 40% validation and use 12345 as the default random seed. Create 10 weak learners when

For Analytic Solver, partition data sets into 60% training and 40% validation and use 12345 as the default random seed. Create 10 weak learners when constructing the ensemble model. If the predictor variable values are in the character format, then treat the predictor variable as a categorical variable. Otherwise, treat the predictor variable as a numerical variable.

make a bagging ensemble classification tree model using the accompanying data file (predictor variables: x1 to x4; target: y).

Click here for the Excel Data File

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

Note: Round your answers to 2 decimal places.

What is the AUC value of the model?

Note: Round your answer to 4 decimal places.

Score a new recor

d with the following values: x1 = 3.45, x2 = 1, x3 = 18, x4 = 5.80. How would the record be classified using the bagging ensemble tree model? What is the probability of the record belonging to Class 1?

Note: Round your answers to 2 decimal places.

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