What is the primary advantage of using a soft margin in SVM for noisy data?

Group of answer choices

It balances between accommodating noisy data and achieving a good margin.

It always guarantees perfect classification of noisy data.

It reduces the complexity of the decision boundary to fit noisy data.

It prevents any misclassification of noisy data.