In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

Mr. Dubey • 52.49K Points
Coach

Q. In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

(A) we can still classify the data correctly for given setting of hyper parameter c

(B) we can not classify the data correctly for given setting of hyper parameter c

(D) data can be classified correctly without any impact of c

Correct Answer - Option(A)
Views: 566
Filed under category Machine Learning (ML)

No solution found for this question.
Add Solution and get +2 points.

You must be Logged in to update hint/solution

Discusssion

Be the first to start discuss.

Q. The inputs of SR latch are

Q. The internal environment factor that influence management is

Q. Which CREATE TABLE statement is valid?

Q. To which class of systems does the von Neumann computer belong?

Q. The following is the direct tax among:

Q. is a CPU emulator and virtual machine monitor

Q. FTP is built on _____ architecture.

Q. A fundamental Principal of software engineering is to design software products that minimize the intellectual distance between ----------- and solutio

Q. Recursive selection sort is a comparison based sort.

Q. In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

Discusssion

Related MCQs

Question analytics