Question $2(1$ point$)$

Which of the following statements are true about Support Vector Machines?

The regularization parameter $C$ controls the trade$-$off between maximizing the

margin and minimizing classification error

The choice of kernel function significantly impacts SVM performance

SVMs can only be used for binary classification tasks

SVMs are highly sensitive to outliers in the training data

SVMs aim to find the hyperplane that maximizes the margin between classes