Question: Create a bagging ensemble classification tree model using the accompanying data set (predictor variables: x 1 to x 4 ; target: y). a. What are
Create a bagging 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: 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?
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Bagging Ensemble Classification Tree Model Randomly select a subset of the original data with replacement This creates a new dataset of the same size ... View full answer
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