Consider a linear SVM and the following training data from two categories: x1=(1,1) x2=(2,2) x3=(2,0) y1=y2=y3=+1 x4=(0,
Posted: Sat May 14, 2022 8:24 pm
Consider a linear SVM and the following training data from two
categories:
x1=(1,1) x2=(2,2) x3=(2,0) y1=y2=y3=+1
x4=(0,0) x5=(1,0) x6=(0,1) y4=y5=y6=-1
[y1 is the class label of x1; y2 is the class label of x2, and
so on]
a) Plot the six training points and plot by inspection the
optimal hyperplane
(b) Which data points are support vectors?
(c) Write the equation of the optimal hyperplane.
categories:
x1=(1,1) x2=(2,2) x3=(2,0) y1=y2=y3=+1
x4=(0,0) x5=(1,0) x6=(0,1) y4=y5=y6=-1
[y1 is the class label of x1; y2 is the class label of x2, and
so on]
a) Plot the six training points and plot by inspection the
optimal hyperplane
(b) Which data points are support vectors?
(c) Write the equation of the optimal hyperplane.