MCQOPTIONS
Saved Bookmarks
| 1. |
In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario |
| A. | the decision boundry in the transformed feature space in non-linear |
| B. | the decision boundry in the transformed feature space in linear |
| C. | the decision boundry in the original feature space in not considered |
| D. | the decision boundry in the original feature space in linear |
| Answer» C. the decision boundry in the original feature space in not considered | |