(Choose 2 answers)
Which of the following statements are true? Check all that apply.
A. Suppose you have 2D input examples. The decision boundary of the SVM (with the linear kernel) is a straight line.
B. Suppose you are using SVMs to do multi-class classification and would like to use the one-vs-all approach. If you have K different classes, you will train K-1 different SVMs.
C. It is important to perform feature normalization before using the Gaussian kernel.
D. If you are training multiclass SVMs with the onevs-all method, it is not possible to use a kernel.
Eatt 6
