XYZ No. of Class C1 Examples No. of Class C2 Examples 10 40 15 1 1 10 20 1 35 10 1 15 1 1 25 1 5 15 1 1 1 15 Question 1: Consider the following set of training examples. a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? b) Repeat part (a) using X as the first splitting attribute and then choose the best remaining attribute for splitting at each of the two successor nodes. What is the error rate of the induced tree? c) Compare the results of parts (a) and (b). Comment on the suitability of the greedy heuristic used for splitting attribute selection.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
icon
Related questions
Question
100%
XYZ
No. of Class C1 Examples
No. of Class C2 Examples
10
40
15
1
1
10
20
1
35
10
1
15
1
1
25
1
5
15
1
1
1
15
Question 1: Consider the following set of training examples.
a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion for
splitting. What is the overall error rate of the induced tree?
b) Repeat part (a) using X as the first splitting attribute and then choose the best remaining attribute for splitting at
each of the two successor nodes. What is the error rate of the induced tree?
c) Compare the results of parts (a) and (b). Comment on the suitability of the greedy heuristic used for splitting
attribute selection.
Transcribed Image Text:XYZ No. of Class C1 Examples No. of Class C2 Examples 10 40 15 1 1 10 20 1 35 10 1 15 1 1 25 1 5 15 1 1 1 15 Question 1: Consider the following set of training examples. a) Compute a two-level decision tree using the greedy approach. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? b) Repeat part (a) using X as the first splitting attribute and then choose the best remaining attribute for splitting at each of the two successor nodes. What is the error rate of the induced tree? c) Compare the results of parts (a) and (b). Comment on the suitability of the greedy heuristic used for splitting attribute selection.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 4 images

Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY