Question: 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

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.

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