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4. Given the following data set where X1, X2 and X3 are the descriptive features and Y the target feature. What prediction, the KNN model will return for K=1 and 3? We consider using the Euclidean distance to find similar neighbors for the queries q1 and q2? X1 X2 X3 Y 10 20 2 7 4 10 1 10 1 9 7 3 12 1 6 5 15 1 Query q1 X1 X2 X3 Y 4 11 K=1 K=3 q2 8 18 2 K=1 K=3

4. Given the following data set where X1, X2 and X3 are the descriptive features and Y the target feature. What prediction, the KNN model will return for K=1 and 3? We consider using the Euclidean distance to find similar neighbors for the queries q1 and q2? X1 X2 X3 Y 10 20 2 7 4 10 1 10 1 9 7 3 12 1 6 5 15 1 Query q1 X1 X2 X3 Y 4 11 K=1 K=3 q2 8 18 2 K=1 K=3

Computer Networking: A Top-Down Approach (7th Edition)
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

 

  1. Given the following data set where X1, X2 and X3 are the descriptive features and Y the target feature. What prediction, the KNN model will return for K=1 and 3? We consider using the Euclidean distance to find similar neighbors for the queries q1 and q2?

X1

X2

X3

Y

10

20

2

0

7

4

10

1

2

10

2

0

1

9

6

0

7

3

12

1

6

5

15

1

 

Query

X1

X2

X3

 

Y

Q1

6

4

11

K = 1

 

K = 3

 

Q2

8

18

2

K = 1

 

K = 3

 

 

4. Given the following data set where X1, X2 and X3 are the descriptive features and Y the target feature. What prediction, the KNN model will return for K=1 and 3? We consider using the Euclidean distance to find similar neighbors for the queries q1 and q2? X1 X2 X3 Y 10 20 2 7 4 10 1 2 10 2 1 9 7 3 12 1 6 5 15 1 Query q1 X1 X2 X3 Y 4 11 K=1 K=3 q2 8 18 2 K=1 K=3
Transcribed Image Text:4. Given the following data set where X1, X2 and X3 are the descriptive features and Y the target feature. What prediction, the KNN model will return for K=1 and 3? We consider using the Euclidean distance to find similar neighbors for the queries q1 and q2? X1 X2 X3 Y 10 20 2 7 4 10 1 2 10 2 1 9 7 3 12 1 6 5 15 1 Query q1 X1 X2 X3 Y 4 11 K=1 K=3 q2 8 18 2 K=1 K=3
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