Data mining34

0. Suppose that we use a RBF kernel with appropriate parameters to perform classification on a particular two class data set where the data is not linearly separable. In this scenario
1. the decision boundary in the transformed feature space is non-linear
2. the decision boundary in the transformed feature space is linear
3. the decision boundary in the original feature space is linear
4. the decision boundary in the original feature space is non-linear

Answer
Comment
Array

Option : D
Explanation :

Forgot your password?

I agree with the Terms.