maybe it is a trivial question to many of you, but it is really driving me up the wall,
in SVM classification, as far as my knowledge, we do usually consider a vector of input = [ X1 X2 ] and output = [Y]
and it performs us to draw as in 2d dimensions.
my first question please, would SVM able to classify data if input = [X1 X2 ----- X6] and output = [Y]
and if it is possible i would assume it is impossible to draw that,
is there anyway to draw it or we just have to draw 2 vector at a time, like considering X2 vs X1 then X3 vs X1 and so on
my second question, i did understand very well how to classifiy linearly seperable case, but i still cant understand the nonlinear case,and how we transfer it into antoher dimension
can someone please tell me briefly how does it work in simple english. cos since it get to formulas and stuff i feel totally lost.
thank you very much for you help in advance,
have a good day
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