Question 1
Which of the following describes the primary function of the hyperplane in a Support Vector Machine?
Question 2
In the context of Support Vector Machines, what is the significance of margin maximization?
Question 3
When applying a Polynomial Kernel in an SVM, what does the 'degree' parameter control?
Question 4
Which of the following best describes the purpose of the Radial Basis Function (RBF) kernel in Support Vector Machines?
Question 5
Consider a dataset with significant class overlap and outliers. Which type of SVM would be most appropriate to prevent overfitting?
