Manually train a decision tree based on the following dataset.  a) Please show the detailed process of selecting an attribute to split the instance set  at every node. Gini index should be used to measure the impurity b) Draw the final decision tree.  c) Classify the test instance X= (Outlook = rainy, Temperature = hot, Humidity =  high, Windy = FALSE)

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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 Manually train a decision tree based on the following dataset. 

a) Please show the detailed process of selecting an attribute to split the instance set  at every node. Gini index should be used to measure the impurity

b) Draw the final decision tree. 

c) Classify the test instance X= (Outlook = rainy, Temperature = hot, Humidity =  high, Windy = FALSE)

Outlook Temperature Humidity Windy
sunny hot
sunny hot
overcast hot
rainy mild
rainy cool
rainy cool
overcast cool
sunny
sunny
mild
cool
rainy mild
mild
sunny
overcast mild
overcast hot
rainy mild
high
high
high
high
normal
normal
normal
high
normal
normal
normal
high
normal
high
FALSE
TRUE
FALSE
FALSE
FALSE
TRUE
TRUE
FALSE
FALSE
FALSE
TRUE
TRUE
FALSE
TRUE
Play
no
no
yes
yes
yes
no
yes
no
yes
yes
yes
yes
yes
no
Transcribed Image Text:Outlook Temperature Humidity Windy sunny hot sunny hot overcast hot rainy mild rainy cool rainy cool overcast cool sunny sunny mild cool rainy mild mild sunny overcast mild overcast hot rainy mild high high high high normal normal normal high normal normal normal high normal high FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE Play no no yes yes yes no yes no yes yes yes yes yes no
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