data set in Table 1, ID refers to identifier for each data point in a 2-D space (i.e., labelled Xi, and Yi). The last colu

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
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Consider the data set in Table 1, ID refers to identifier for each data point in a 2-D space (i.e., labelled Xi, and Yi). The last column corresponds to class label that divide this data set into either Good or Bad category. Next, use this data to classify a new/unseen data point, which is (-2, 1), using K-nearest neighbor classification (with K = 3) algorithm and Manhattan distance as distance measure.

Consider the data set in Table 1, ID refers to identifier for each data point in a 2-D space (i.e., labelled Xi,
and Y₁). The last column corresponds to class label that divide this data set into either Good or Bad
category. Next, use this data to classify a new/unseen data point, which is (-2, 1), using K-nearest
neighbor classification (with K = 3) algorithm and Manhattan distance as distance measure.
+
ID
A
B
с
D
E
F
Table 1: Data set for question 2
Xi
1
1
0
2
3
2
Y₁
1
0
2
4
5
3
Class
Good
Good
Good
Bad
Bad
Bad
0
Transcribed Image Text:Consider the data set in Table 1, ID refers to identifier for each data point in a 2-D space (i.e., labelled Xi, and Y₁). The last column corresponds to class label that divide this data set into either Good or Bad category. Next, use this data to classify a new/unseen data point, which is (-2, 1), using K-nearest neighbor classification (with K = 3) algorithm and Manhattan distance as distance measure. + ID A B с D E F Table 1: Data set for question 2 Xi 1 1 0 2 3 2 Y₁ 1 0 2 4 5 3 Class Good Good Good Bad Bad Bad 0
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