There are 14 instances stored in the database described with several attributes: day, outlook, temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the day and the action of the observed person (played or not played tennis). Based on the given record we can assess which factors affected the person's decision about playing tennis. Training Examples Outlook Day Sunny Temp. Humidity High High Wind Play Tennis No D1 Hot Weak D2 D3 Strong Weak Weak Weak Strong Weak Weak No Sunny Overcast Rain Hot Hot Yes D4 D5 High High Normal Normal Mild Yes Yes No Rain |Cool D6 Rain Сol D7 Overcast Cool Normal Yes D8 Sunny Sunny Mild No High Normal Normal Normal High Normal D9 Cool Yes Weak Strong Strong Strong Weak D10 Rain Mild Yes D11 Sunny D12 Overcast D13 Overcast Rain Mild Mild Yes Yes Yes Hot D14 Mild High Strong 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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Question in image. Answer with explanation.
There are 14 instances stored in the database described with several attributes: day, outlook,
temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the day
and the action of the observed person (played or not played tennis). Based on the given
record we can assess which factors affected the person's decision about playing tennis.
Training Examples
Play Tennis
No
Outlook
Day
D1
Sunny
D2
Sunny
Temp. Humidity
High
High
High
High
Normal
Wind
Hot
Weak
Hot
Strong
No
D3
Overcast
Hot
Weak
Yes
D4
D5
Rain
Rain
Mild
Сool
Weak
Yes
Weak
Yes
D6
Rain
Cool
Normal
Strong
Weak
No
D7
Overcast
Cool
Normal
Yes
D8
High
Normal
Sunny
Mild
Weak
No
D9
Sunny
D10 Rain
D11 Sunny
D12 Overcast
D13 Overcast
D14
Cool
Weak
Yes
Normal
Normal
Mild
Strong
Yes
Mild
Strong
Strong
Weak
Yes
Mild
Hot
Mild
High
Normal
Yes
Yes
No
Rain
High
Strong
Calculate the information gain values of all attributes, and select the decision attribute for the
root node, and create branches with its possible values.
Is there any further splitting necessary? If so, keep splitting and build the final tree (do not
worry about over-fitting). Provide all your calculations.
Transcribed Image Text:There are 14 instances stored in the database described with several attributes: day, outlook, temperature, humidity, wind and 'playTennis'. Each instance describes the facts of the day and the action of the observed person (played or not played tennis). Based on the given record we can assess which factors affected the person's decision about playing tennis. Training Examples Play Tennis No Outlook Day D1 Sunny D2 Sunny Temp. Humidity High High High High Normal Wind Hot Weak Hot Strong No D3 Overcast Hot Weak Yes D4 D5 Rain Rain Mild Сool Weak Yes Weak Yes D6 Rain Cool Normal Strong Weak No D7 Overcast Cool Normal Yes D8 High Normal Sunny Mild Weak No D9 Sunny D10 Rain D11 Sunny D12 Overcast D13 Overcast D14 Cool Weak Yes Normal Normal Mild Strong Yes Mild Strong Strong Weak Yes Mild Hot Mild High Normal Yes Yes No Rain High Strong Calculate the information gain values of all attributes, and select the decision attribute for the root node, and create branches with its possible values. Is there any further splitting necessary? If so, keep splitting and build the final tree (do not worry about over-fitting). Provide all your calculations.
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