Suppose you have training set to be classified into two classes and h (x) =g (@,* +0,x, +0,x,) and ,= - 2, 0,=1,02=1, then for y=1 the decision boundary is: A *, +x, 22 B *,+x, 2 - 2 *,+x, < - 2

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 5
Suppose you have training set to be classified into two classes and h (x) = g (0,x, +0, x, + 0,x,)
and ®,= - 2, 0,=1, 0,=1, then for y=1 the decision boundary is :
1"1
A *, +x, 2 2
B)
x,+x, <2
9 *,+x, 2 - 2
7-5 ?x+'x @
Transcribed Image Text:Question 5 Suppose you have training set to be classified into two classes and h (x) = g (0,x, +0, x, + 0,x,) and ®,= - 2, 0,=1, 0,=1, then for y=1 the decision boundary is : 1"1 A *, +x, 2 2 B) x,+x, <2 9 *,+x, 2 - 2 7-5 ?x+'x @
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