Question: In SVM, what is the kernel trick used for in the context of feature space Expand the feature space to make the data separable
In SVM, what is the kernel trick used for in the context of feature space Expand the feature space to make the data separable a O Normalize the feature space .b O Add noise to the feature space.co Reduce the dimensionality of the feature space .d O 2076577
Step by Step Solution
There are 3 Steps involved in it
The detailed answer for the above question is provided ... View full answer
Get step-by-step solutions from verified subject matter experts
