Consider the following table as a training set to predict customer's default status. Customer name Age Loan Default A 35 120000 N B 52 18000 N C 40 62000 Y D 60 100000 Y Question: Perform the Decision Tree Algorithm over it taking entropy as purity measure and state all the rules after constructing the tree. Predict the class of a new customer name = 'E' with the age as 48 and income as 148000.
Consider the following table as a training set to predict customer's default status. Customer name Age Loan Default A 35 120000 N B 52 18000 N C 40 62000 Y D 60 100000 Y Question: Perform the Decision Tree Algorithm over it taking entropy as purity measure and state all the rules after constructing the tree. Predict the class of a new customer name = 'E' with the age as 48 and income as 148000.
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
Consider the following table as a training set to predict customer's default status.
Customer name | Age | Loan | Default |
A | 35 | 120000 | N |
B | 52 | 18000 | N |
C | 40 | 62000 | Y |
D | 60 | 100000 | Y |
Question: Perform the Decision Tree
the tree. Predict the class of a new customer name = 'E' with the age as 48 and income as 148000.
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