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How to draw a hyper plane in Support Vector Machine | Linear SVM
How to draw a hyper plane in Support Vector Machine | Linear SVM – Solved Example by Mahesh Huddar
#draw #hyper #plane #Support #Vector #Machine #Linear #SVM
“Mahesh Huddar”
How to draw a hyperplane in Support Vector Machine | Linear SVM – Solved Example by Mahesh Huddar
Points (4, 1), (4, -1), and (6, 0) belong to class positive, and
points (1, 0), (0, 1) and (0, -1) belong to the negative class.
Draw an optimal hyperplane to classify the points.
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Very nice explanation thank u
How can find the alpha values….?
I am getting alpha2=alpha3 , 7/18 , my friend also verified it ! Kindly confirm & reply back sir
Well done Sir for the great explanations. But it seems the solution to the simultaneous equations is not correct. This also affected the hyperplane equation. On Python, the solution to the simultaneous equation is Solution:
x = -2.4444444444444438
y = 0.3888888888888888
z = 0.38888888888888884
Also on Python, the equation of the SVM is :(0.6668307692307693x + -0.0004923076923077918y + ([-1.66715897])
Manual calculation of the hyperplane equation with those values of alpha(x,y,z in my case ) will confirm the hyperplane equation
On a final note, thanks so much for the simple way you explained the concept and your time.
can you help me? i have a task to draw hyperplane (no coding). my data has multiclass (4 classes) and i only found 2 classes examples. it's too confusing for me
How to identify positive and negative points
Thanks Sir..
Thanks to you this topic become cristal clear. Love your teaching.
I am searching from long how to determine if the given point is positive or negetive example
This might be a dumb question but if the bias is -2 why is it plotted on +2, maybe i'm not understanding something but if you could clear that up that would be great
thank you very much , this helped alot. was looking for this everywhere!!
Was literally looking for a video like this more than a month ago! Thanks for uploading ❤❤❤
Superb