3. Consider the following 6 training data points in a 2D space for a binary classification task (circles are "+" squares are "“_"). What is the hyperplane function learned by a linear SVM? (3,4) (5,4) (3.3) (22) x1 2 3 3 4 5 Y 1 2 3 4 1 4 C-1-1 +1 +1-1 +1 (1.1) (4,1) x1

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
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3. Consider the following 6 training data points in a 2D space for a binary classification
task (circles are “+" squares are “_"). What is the hyperplane function learned by a
linear SVM?
(3,4)
(5,4)
(3,3)
(2,2
X 1 2 3 3 4 5
(1,1)
(4,1)
1
Y 1 2 3 4 1 4
C -1 -1 +1 +1-1 +1
3.
Transcribed Image Text:3. Consider the following 6 training data points in a 2D space for a binary classification task (circles are “+" squares are “_"). What is the hyperplane function learned by a linear SVM? (3,4) (5,4) (3,3) (2,2 X 1 2 3 3 4 5 (1,1) (4,1) 1 Y 1 2 3 4 1 4 C -1 -1 +1 +1-1 +1 3.
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