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)
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
- 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 |
|
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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