Question: What idea in SVMs helps them generalize better on test data? They use fewer features than other classifiers. They learn a decision boundary that maximizes

What idea in SVMs helps them generalize
better on test data?
They use fewer features than other
classifiers.
They learn a decision boundary that
maximizes the gap between training
instances of either class.
The learn multiple decision boundaries.
They use kernels.
What idea in SVMs helps them generalize better on

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