Question # 1. Classification (ID3 Algorithm)CLO-3,4, PLO-2,3, C-1,310A dataset showing the decisions made by an individual about whether to wait for a table at a restaurant is listed in Table 1.Table1BarPatronRainTypeWill WaitFSomeFFrenchTFFullFThaiFTSomeFBurgerTFFullFThaiTFFullFFrenchFTSomeTItalianTTNoneTBurgerFFSomeTThaiTTFullTBurgerFTFullFItalianFFNoneFThaiFTFullFBurgerTGive the answers of following questions:Identify the target variable from the table and, compute the entropy for this data set.Let’s suppose “Type” feature is a root node, define the number of branches relates to it as well as calculate the information gain of “Type”?

Answered: Identify the target variable from the…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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Question # 1. Classification (ID3 Algorithm)

CLO-3,4, PLO-2,3, C-1,3

A dataset showing the decisions made by an individual about whether to wait for a table at a restaurant is listed in Table 1.

Table1

Bar	Patron	Rain	Type	Will Wait
F	Some	F	French	T
F	Full	F	Thai	F
T	Some	F	Burger	T
F	Full	F	Thai	T
F	Full	F	French	F
T	Some	T	Italian	T
T	None	T	Burger	F
F	Some	T	Thai	T
T	Full	T	Burger	F
T	Full	F	Italian	F
F	None	F	Thai	F
T	Full	F	Burger	T

Give the answers of following questions:

Identify the target variable from the table and, compute the entropy for this data set.
Let’s suppose “Type” feature is a root node, define the number of branches relates to it as well as calculate the information gain of “Type”?

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