Create a boosting ensemble classification tree model using the accompanying data set (predictor variables: x 1 to
Question:
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?
Fantastic news! We've Found the answer you've been seeking!
Step by Step Answer:
Boosting Ensemble Classification Tree Model Fit a decision tree to the original dataset Identify the misclassified data points and assign them higher ...View the full answer
Answered By
BillClinton Muguai
I have been a tutor for the past 5 years. I have experience working with students in a variety of subject areas, including computer science, math, science, English, and history. I have also worked with students of all ages, from elementary school to college. In addition to my tutoring experience, I have a degree in education from a top university. This has given me a strong foundation in child development and learning theories, which I use to inform my tutoring practices.
I am patient and adaptable, and I work to create a positive and supportive learning environment for my students. I believe that all students have the ability to succeed, and it is my job to help them find and develop their strengths. I am confident in my ability to tutor students and help them achieve their academic goals.
0 Reviews
10+ Question Solved
Related Book For 
Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
Question Posted:
