Decision Tree Analysis: Below is a decision tree generated using the training data. 1) Identify and list the attributes, 2) Identify and list the class lables. 3) Use the following 10 data records to test the tree and calculate the accuracy, true positive rate and true negative rate. (hint: you need to use the decision tree to come up with your own prediction and then compare with the actual outcome to identify the TP, TN, FN, FP predictions) (Note. The test data is generated purely random. So do not overthink about the output. Just record the accuracy level.) Food Chat Speedy Price Bar Big Tip? Great Yes Yes Adequate Yes Yes 12 Great Yes No High No Yes Mediocre No Yes Adequate No No Great No No High Yes Yes Mikes No Yes Adequate No No Yikes Yes No High No Yes 17 Mediocre Yes No Yes High Adequate Yes Mike No Yes No No Great Yes No High No Yes 10 Mediocre No No Adequate Yes No
Decision Tree Analysis: Below is a decision tree generated using the training data. 1) Identify and list the attributes, 2) Identify and list the class lables. 3) Use the following 10 data records to test the tree and calculate the accuracy, true positive rate and true negative rate. (hint: you need to use the decision tree to come up with your own prediction and then compare with the actual outcome to identify the TP, TN, FN, FP predictions) (Note. The test data is generated purely random. So do not overthink about the output. Just record the accuracy level.) Food Chat Speedy Price Bar Big Tip? Great Yes Yes Adequate Yes Yes 12 Great Yes No High No Yes Mediocre No Yes Adequate No No Great No No High Yes Yes Mikes No Yes Adequate No No Yikes Yes No High No Yes 17 Mediocre Yes No Yes High Adequate Yes Mike No Yes No No Great Yes No High No Yes 10 Mediocre No No Adequate Yes No
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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please help
Transcribed Image Text:great
Food
yikes
mediac
Speedy
по
no
no
3
default
Price
yes
high
agenbape
no
yes
1
Transcribed Image Text:Decision Tree Analysis: Below is a decision tree generated using the training data.
1) Identify and list the attributes,
2) Identify and list the class lables.
3) Use the following 10 data records to test the tree and calculate
the accuracy, true positive rate and true negative rate. (hint: you need to
use the decision tree to come up with your own prediction and then
compare with the actual outcome to identify the TP, TN, FN, FP
predictions)
(Note. The test data is generated purely random. So do not overthink about the
output. Just record the accuracy level.)
Food
Chat
Speedy
Price
Bar
Big Tip?
1
Great
Yes
Yes
Adequate
Yes
Yes
2
Great
Yes
No
No
Yes
High
Adequate
Mediocre
No
Yes
No
No
14
Great
INo
No
High
Yes
Yes
15
Yikes
No
Yes
Adequate
No
No
16
Yikes
Yes
No
High
No
Yes
17
Mediocre
Yes
No
High
Yes
Yes
Yike
No
Yes
Adequate
No
No
Great
Yes
No
High
No
Yes
10
Mediocre
No
No
Adequate
Yes
No
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