Question: Create a boosting ensemble classification tree model using the accompanying data set (predictor variables: x 1 to x 4 ; target: y). a. What are

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: x₁= 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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Boosting Ensemble Classification Tree Model Fit a decision tree to the original dataset Identify the misclassified data points and assign them higher ... View full answer

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