• Example: Following set of training data Instance Classification a₁ 1 T 2 T 3 T 4 F F 5 F 6 FT ++1+1 TTFFTT What is the entropy? What are the information gains? Draw the decision tree. What is the disjunctive rule?
• Example: Following set of training data Instance Classification a₁ 1 T 2 T 3 T 4 F F 5 F 6 FT ++1+1 TTFFTT What is the entropy? What are the information gains? Draw the decision tree. What is the disjunctive rule?
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...
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Question
![• Example: Following set of training data
Instance Classification a₁ a₂
1
T
T
2
T
T
3
T
F
4
F
F
5
FT
6
FT
1+1++
What is the entropy?
What are the information gains?
Draw the decision tree.
.
.
What is the disjunctive rule?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe96de917-4487-44ca-a3a8-823bf17ccbd5%2Fec6bb7f3-7a97-4cac-9bc1-bd8db83c5c4e%2F7oovsr9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:• Example: Following set of training data
Instance Classification a₁ a₂
1
T
T
2
T
T
3
T
F
4
F
F
5
FT
6
FT
1+1++
What is the entropy?
What are the information gains?
Draw the decision tree.
.
.
What is the disjunctive rule?
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