In SVM,kernel trick allows us to construct a decision surface that is 3D in the feature space while it is inherently nonlinear in the original input space.

Name: In SVM,kernel trick allows us to construct a decision surface that is 3D in the feature space while it is inherently nonlinear in the original input space.
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The Answer of In SVM,kernel trick allows us to construct a decision surface that is 3D in the feature space while it is inherently nonlinear in the original input space.

In SVM,kernel Trick Allows Us to Construct a Decision Surface