2. Supervised Learning

Support Vector Machines — Quiz

Test your understanding of support vector machines with 5 practice questions.

Practice Questions

Question 1

Which equality constraint must the Lagrange multipliers $\alpha_i$ satisfy in the dual formulation of a binary linear SVM?

Question 2

In the RBF kernel defined as $K(x,x')=\exp(-\gamma\\|x - x'\\|^2)$, the parameter $\gamma$ is related to the Gaussian variance $\sigma^2$ by which expression?

Question 3

As $C \to \infty$ in a soft-margin SVM, what model behavior emerges?

Question 4

Which technique approximates shift-invariant kernels like RBF to enable scalable linear SVM training on large datasets?

Question 5

In SVM KKT conditions, which samples satisfy $0<\alpha_i<C$?