Which of the following statements is INCORRECT about the SVM and kernels?
A. Kernels map the original dataset into a higher dimensional space and then find a hyper-plane in the mapped space
B. Kernels map the original dataset into a higher dimensional space and then find a hyper-plane in the original space
C. Using kernels allows us to obtain non linear decision boundaries for a classification problem
D. The kernel trick allows us to perform computations in the original space and enhances speed of SVM learning.
Answer:B
Which of the following statements is INCORRECT about the SVM and kernels?
A. Kernels map the original dataset into a higher dimensional space and then find a hyper-plane in the mapped space B. Kernels map the original dataset into a higher dimensional space and then find a hyper-plane in the original space C. Using kernels allows us to obtain non linear decision boundaries for a classification problem D. The kernel trick allows us to perform computations in the original space and enhances speed of SVM learning.