Answered: (K-Nearest Neighbors) Please show the…

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

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(K-Nearest Neighbors) Please show the detailed process of using K Nearest Neighbor classifier to predict the test instance X= (Speed = 5.20, Weight = 500) is qualified or not, by setting k = 1, 3, and 5, respectively

Before using KNN classifier, please use Min-max normalization (KNN.pdf page 17) to preprocess the attribute values and plot the preprocessed training data set on a 2d plane (Speed - X axis and Weight - Y axis, the instances of class no are labeled by − and the instances of class yes are labeled by + in the plot)

ID Speed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
2.50
3.75
2.25
3.25
2.75
4.50
3.50
3.00
4.00
4.25
2.00
5.00
8.25
5.75
4.75
5.50
5.25
7.00
7.50
Weight Qualified
600
800
550
825
750
500
525
325
400
375
200
250
850
875
625
675
950
425
800
no
no
no
no
no
no
no
no
no
no
no
no
no
yes
yes
yes
yes
yes
yes

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