What is the main purpose of the “kernel trick” in

SVMs?

Question

What is the main purpose of the “kernel trick” in 
 
SVMs?

Answer

To reduce the number of features in the dataset.

Answer

To automatically find 
 
the best value for the regularization parameter C.

Answer

To speed up 
 
the training process of a linear SVM.

Answer

To handle non-linearly separable 
 
data by mapping it to a higher-dimensional space.

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