Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are listed below. Customer ID Income Lot_Size Normalized Income Normalized Lot_Size Ownership 1 61.5 20.8 -0.351 0.762 Owner 2 82.8 22.4 0.726 1.421 Owner 3 52.8 20.8 -0.790 0.762 Nonowner 4 84 17.6 0.786 -0.556 Nonowner 5 63 14.8 -0.275 -1.709 Nonowner The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a nonowner using k-Nearest Neighbors method. Income Lot_Size Normalized Income Normalized Lot_Size 81 20 0.635 0.532
Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are listed below. Customer ID Income Lot_Size Normalized Income Normalized Lot_Size Ownership 1 61.5 20.8 -0.351 0.762 Owner 2 82.8 22.4 0.726 1.421 Owner 3 52.8 20.8 -0.790 0.762 Nonowner 4 84 17.6 0.786 -0.556 Nonowner 5 63 14.8 -0.275 -1.709 Nonowner The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a nonowner using k-Nearest Neighbors method. Income Lot_Size Normalized Income Normalized Lot_Size 81 20 0.635 0.532
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
Problem 1PE
Related questions
Question
Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are listed below.
Customer ID
Income
Lot_Size
Normalized Income
Normalized Lot_Size
Ownership
1
61.5
20.8
-0.351
0.762
Owner
2
82.8
22.4
0.726
1.421
Owner
3
52.8
20.8
-0.790
0.762
Nonowner
4
84
17.6
0.786
-0.556
Nonowner
5
63
14.8
-0.275
-1.709
Nonowner
The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a nonowner using k-Nearest Neighbors method.
Income
Lot_Size
Normalized Income
Normalized Lot_Size
81
20
0.635
0.532
Expert Solution
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Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question
Round your answers to 3 digits after the decimal point.
The Euclidean distance between the new customer and customer 1 is __?
The Euclidean distance between the new customer and customer 2 is __?
The Euclidean distance between the new customer and customer 3 is __?
The Euclidean distance between the new customer and customer 4 is __?
The Euclidean distance between the new customer and customer 5 is __?

Transcribed Image Text:X b Answered: Data collected (includi x
edu/courses/58766/quizzes/179419
1
Customer ID
Data collected (including the normalized values) by a riding mower manufacturer on its existing customers are
listed below.
1
2
3
4
5
Income
81
Income
61.5
82.8
Et
52.8
84
63
WhatsApp
Lot Size
X
20.8
20
22.4
20.8
17.6
14.8
Lot_Size
Round your answers to 3 digits after the decimal point.
Normalized
Income
P3
-0.351
0.726
W
-0.790
0.786
-0.275
The Euclidean distance between the new customer and Customer 1 is 1.01
Normalized Income
0.635
Assignment-10-k-Nearest Neight X
Normalized
Lot_Size
The riding mower manufacturer wants to classify a new customer (data given below) as either an owner or a
nonowner using k-Nearest Neighbors method.
Ģ
0.762
1.421
0.762
-0.556
-1.709
Ownership
Owner
Owner
Nonowner
Nonowner
Nonowner
Normalized Lot_Size
0.532
Solution
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