Answer the following questions based upon the training examples shown in table below for a binary classification problem. a) Calculate the best split according to the information gain. b) Calculate the best split according to the Gini index. 5 Played football(yes/no) Humidity High High High High Temperature Wind Hot Weak No Hot Strong No Hot Weak Yes Mild Weak Yes Cool Normal Weak Yes Cool Normal Strong No Cool Normal Strong Yes High Normal Mild Weak No Сool Weak Yes Mild Normal Weak Yes Mild Normal Strong Yes Mild High Strong Yes Hot Normal Weak Yes 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
5
Answer the following questions based upon the training examples shown in table
below for a binary classification problem.
a) Calculate the best split according to the information gain.
b) Calculate the best split according to the Gini index.
Wind
Played football(yes/no)
Humidity
High
Temperature
Hot
Weak
No
Hot
High
Strong
No
Hot
High
Weak
Yes
Mild
High
Weak
Yes
Cool
Normal
Weak
Yes
Cool
Normal
Strong
No
Cool
Normal
Strong
Yes
Mild
High
Weak
No
Cool
Normal
Weak
Yes
Mild
Normal
Weak
Yes
Mild
Normal
Strong
Yes
Mild
High
Strong
Yes
Hot
Normal
Weak
Yes
Mild
High
Strong
No
Transcribed Image Text:5 Answer the following questions based upon the training examples shown in table below for a binary classification problem. a) Calculate the best split according to the information gain. b) Calculate the best split according to the Gini index. Wind Played football(yes/no) Humidity High Temperature Hot Weak No Hot High Strong No Hot High Weak Yes Mild High Weak Yes Cool Normal Weak Yes Cool Normal Strong No Cool Normal Strong Yes Mild High Weak No Cool Normal Weak Yes Mild Normal Weak Yes Mild Normal Strong Yes Mild High Strong Yes Hot Normal Weak Yes Mild High Strong No
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