A lecturer has missed to mark one exam paper - Isabella's. He doesn't have time to mark it and decides to use the k-Nearest Neighbor algorithm to predict Isabella's exam grade based on her marks for Assignment 1 and Assignment 2 and the performance of the other students in the course, shown in the table below: student Assignment 1 1 2 3 4 5 6 60 50 40 20 55 50 Assignment 2 85 40 20 30 75 90 Exam grade HD P F F CR D = Isabella’s assignment marks are: Assignment 1 65 and Assignment 2 = 80. What will be the predicted exam grade for Isabella using 1-Nearest Neighbor with Manhattan distance? Show your calculations. No need to normalize the data, all marks are measured on the same scale - from 0 to 100.

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
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A lecturer has missed to mark one exam paper – Isabella's. He doesn't have time to mark it and decides
to use the k-Nearest Neighbor algorithm to predict Isabella's exam grade based on her marks for
Assignment 1 and Assignment 2 and the performance of the other students in the course, shown in the
table below:
student Assignment 1 Assignment 2
1
2
3
4
5
6
60
50
40
20
55
50
85
40
20
30
75
90
Exam grade
HD
P
F
F
CR
D
Isabella's assignment marks are: Assignment 1 = 65 and Assignment 2 = 80. What will be the
predicted exam grade for Isabella using 1-Nearest Neighbor with Manhattan distance? Show your
calculations.
No need to normalize the data, all marks are measured on the same scale – from 0 to 100.
Transcribed Image Text:A lecturer has missed to mark one exam paper – Isabella's. He doesn't have time to mark it and decides to use the k-Nearest Neighbor algorithm to predict Isabella's exam grade based on her marks for Assignment 1 and Assignment 2 and the performance of the other students in the course, shown in the table below: student Assignment 1 Assignment 2 1 2 3 4 5 6 60 50 40 20 55 50 85 40 20 30 75 90 Exam grade HD P F F CR D Isabella's assignment marks are: Assignment 1 = 65 and Assignment 2 = 80. What will be the predicted exam grade for Isabella using 1-Nearest Neighbor with Manhattan distance? Show your calculations. No need to normalize the data, all marks are measured on the same scale – from 0 to 100.
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