Give the correct Answer for following statements. 1. It is important to perform feature normalization before using the Gaussian kernel. 2. The maximum value of the Gaussian kernel is 1.

The correct answer is: C. 1 is true, 2 is true.

1. It is important to perform feature normalization before using the Gaussian kernel.

This is because the Gaussian kernel is a radial basis function, which means that it is centered at a particular point and decays with distance from that point. If the features are not normalized, then the kernel will be more sensitive to features that have large values, and less sensitive to features that have small values. This can lead to poor performance of the kernel.

1. The maximum value of the Gaussian kernel is 1.

This is because the Gaussian kernel is a probability density function, and the probability of any event cannot exceed 1.

Here is a more detailed explanation of each option:

• Option A: 1 is true, 2 is false.

This option is incorrect because both statements are true.

• Option B: 1 is false, 2 is true.

This option is incorrect because statement 1 is true, but statement 2 is false.

• Option C: 1 is true, 2 is true.

This option is correct because both statements are true.

• Option D: 1 is false, 2 is false.

This option is incorrect because statement 1 is false, but statement 2 is true.